From 19f5c68ac40af13cd99279a98e9bf07ff4a0598e Mon Sep 17 00:00:00 2001 From: hgkim Date: Wed, 17 Dec 2025 10:34:49 +0900 Subject: [PATCH] Organize my project --- .gitignore | 248 +- Paddle_ocr/PaddleOCR | 1 + Paddle_ocr/inference_pgnet.py | 126 + Paddle_ocr/requirements.txt | 2 + Paddle_ocr/video_pgnet_infer.py | 127 + YOLO_FACE_EXP/dataset.py | 39 + YOLO_FACE_EXP/export_onnx.py | 71 + YOLO_FACE_EXP/face_recog_exp.ipynb | 2767 + YOLO_FACE_EXP/model.py | 149 + YOLO_FACE_EXP/train_ver1.py | 120 + YOLO_FACE_EXP/train_ver2.py | 141 + YOLO_FACE_EXP/validation.py | 119 + coco5class_exp/coco5class.yaml | 9 + coco5class_exp/coco5class_exp.ipynb | 342 + .../coco5class_v8m/5class/args.yaml | 106 + .../coco5class_v8m/5class/results.csv | 91 + coco5class_exp/train_coco5class.py | 16 + custom_LP_detect/custom_LP.yaml | 33 + custom_LP_detect/easyocr.py | 38 + .../lp_detect/epo_100_frac_0_1/args.yaml | 106 + .../lp_detect/epo_100_frac_0_1/results.csv | 49 + .../lp_detect/epo_200_frac_0_2/args.yaml | 106 + .../lp_detect/epo_200_frac_0_2/results.csv | 120 + .../lp_detect/epo_200_frac_0_22/args.yaml | 106 + .../lp_detect/epo_200_frac_0_22/results.csv | 89 + custom_LP_detect/test.ipynb | 10047 ++++ custom_LP_detect/yolo_exp.ipynb | 685 + fashion_yolo/aihub_dataset_eda.ipynb | 156 + fashion_yolo/aihub_exp.ipynb | 8225 +++ .../aihub_exp/yolov8s_fashion/args.yaml | 106 + .../aihub_exp/yolov8s_fashion/results.csv | 27 + fashion_yolo/aihub_fashion.yaml | 7 + fashion_yolo/fashion_all.ipynb | 439 + .../yolov8m_fashion+face/args.yaml | 106 + .../yolov8m_fashion+face/results.csv | 149 + .../yolov8m_fashion+face_nohood/args.yaml | 106 + .../yolov8m_fashion+face_nohood/results.csv | 105 + .../yolov8m_fashion_all/args.yaml | 106 + .../yolov8m_fashion_all/results.csv | 105 + .../yolov8m_fashion_final/args.yaml | 106 + .../yolov8m_fashion_final/results.csv | 108 + fashion_yolo/fashionpeida_exp.ipynb | 1849 + fashion_yolo/init_process.ipynb | 47420 ++++++++++++++++ fashion_yolo/train.py | 33 + .../fire_detect/epo200_frac_0.2/args.yaml | 106 + .../fire_detect/epo200_frac_0.2/results.csv | 25 + .../fire_detect/epo200_frac_0.22/args.yaml | 106 + .../fire_detect/epo200_frac_0.22/results.csv | 2 + .../fire_detect/epo200_frac_0.23/args.yaml | 106 + .../fire_detect/epo200_frac_0.23/results.csv | 49 + fire_smoke_detect/fire_detect/test/args.yaml | 106 + .../fire_detect/test/results.csv | 4 + fire_smoke_detect/fire_exp.ipynb | 820 + fire_smoke_detect/fire_smoke_detect.yaml | 10 + .../sw_detect/final_100epoch/args.yaml | 106 + .../sw_detect/final_100epoch/results.csv | 132 + swoon_detect/swoon_detect.yaml | 10 + swoon_detect/test.ipynb | 7689 +++ swoon_detect/yolo_exp.ipynb | 1346 + ultralytics | 1 + vis5class_exp/vis5class.yaml | 9 + vis5class_exp/vis5class_exp.ipynb | 955 + vis5class_exp/vis5class_v8m/5class/args.yaml | 106 + .../vis5class_v8m/5class/results.csv | 133 + vis6class_exp/test.ipynb | 348 + vis6class_exp/vis6class.yaml | 9 + vis6class_exp/vis6class_exp.ipynb | 1093 + vis6class_exp/vis6class_v8m/6class/args.yaml | 106 + .../vis6class_v8m/6class/results.csv | 101 + vis6class_exp/vis6class_v8m/6class2/args.yaml | 106 + .../vis6class_v8m/6class2/results.csv | 187 + .../vis6class_v8m/6class_final/args.yaml | 106 + .../vis6class_v8m/6class_final/results.csv | 176 + 73 files changed, 88906 insertions(+), 153 deletions(-) create mode 160000 Paddle_ocr/PaddleOCR create mode 100644 Paddle_ocr/inference_pgnet.py create mode 100644 Paddle_ocr/requirements.txt create mode 100644 Paddle_ocr/video_pgnet_infer.py create mode 100644 YOLO_FACE_EXP/dataset.py create mode 100644 YOLO_FACE_EXP/export_onnx.py create mode 100644 YOLO_FACE_EXP/face_recog_exp.ipynb create mode 100644 YOLO_FACE_EXP/model.py create mode 100644 YOLO_FACE_EXP/train_ver1.py create mode 100644 YOLO_FACE_EXP/train_ver2.py create mode 100644 YOLO_FACE_EXP/validation.py create mode 100644 coco5class_exp/coco5class.yaml create mode 100644 coco5class_exp/coco5class_exp.ipynb create mode 100644 coco5class_exp/coco5class_v8m/5class/args.yaml create mode 100644 coco5class_exp/coco5class_v8m/5class/results.csv create mode 100644 coco5class_exp/train_coco5class.py create mode 100644 custom_LP_detect/custom_LP.yaml create mode 100644 custom_LP_detect/easyocr.py create mode 100644 custom_LP_detect/lp_detect/epo_100_frac_0_1/args.yaml create mode 100644 custom_LP_detect/lp_detect/epo_100_frac_0_1/results.csv create mode 100644 custom_LP_detect/lp_detect/epo_200_frac_0_2/args.yaml create mode 100644 custom_LP_detect/lp_detect/epo_200_frac_0_2/results.csv create mode 100644 custom_LP_detect/lp_detect/epo_200_frac_0_22/args.yaml create mode 100644 custom_LP_detect/lp_detect/epo_200_frac_0_22/results.csv create mode 100644 custom_LP_detect/test.ipynb create mode 100644 custom_LP_detect/yolo_exp.ipynb create mode 100644 fashion_yolo/aihub_dataset_eda.ipynb create mode 100644 fashion_yolo/aihub_exp.ipynb create mode 100644 fashion_yolo/aihub_exp/yolov8s_fashion/args.yaml create mode 100644 fashion_yolo/aihub_exp/yolov8s_fashion/results.csv create mode 100644 fashion_yolo/aihub_fashion.yaml create mode 100644 fashion_yolo/fashion_all.ipynb create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion+face/args.yaml create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion+face/results.csv create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/args.yaml create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/results.csv create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/args.yaml create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/results.csv create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion_final/args.yaml create mode 100644 fashion_yolo/fashionpedia_exp/yolov8m_fashion_final/results.csv create mode 100644 fashion_yolo/fashionpeida_exp.ipynb create mode 100644 fashion_yolo/init_process.ipynb create mode 100644 fashion_yolo/train.py create mode 100644 fire_smoke_detect/fire_detect/epo200_frac_0.2/args.yaml create mode 100644 fire_smoke_detect/fire_detect/epo200_frac_0.2/results.csv create mode 100644 fire_smoke_detect/fire_detect/epo200_frac_0.22/args.yaml create mode 100644 fire_smoke_detect/fire_detect/epo200_frac_0.22/results.csv create mode 100644 fire_smoke_detect/fire_detect/epo200_frac_0.23/args.yaml create mode 100644 fire_smoke_detect/fire_detect/epo200_frac_0.23/results.csv create mode 100644 fire_smoke_detect/fire_detect/test/args.yaml create mode 100644 fire_smoke_detect/fire_detect/test/results.csv create mode 100644 fire_smoke_detect/fire_exp.ipynb create mode 100644 fire_smoke_detect/fire_smoke_detect.yaml create mode 100644 swoon_detect/sw_detect/final_100epoch/args.yaml create mode 100644 swoon_detect/sw_detect/final_100epoch/results.csv create mode 100644 swoon_detect/swoon_detect.yaml create mode 100644 swoon_detect/test.ipynb create mode 100644 swoon_detect/yolo_exp.ipynb create mode 160000 ultralytics create mode 100644 vis5class_exp/vis5class.yaml create mode 100644 vis5class_exp/vis5class_exp.ipynb create mode 100644 vis5class_exp/vis5class_v8m/5class/args.yaml create mode 100644 vis5class_exp/vis5class_v8m/5class/results.csv create mode 100644 vis6class_exp/test.ipynb create mode 100644 vis6class_exp/vis6class.yaml create mode 100644 vis6class_exp/vis6class_exp.ipynb create mode 100644 vis6class_exp/vis6class_v8m/6class/args.yaml create mode 100644 vis6class_exp/vis6class_v8m/6class/results.csv create mode 100644 vis6class_exp/vis6class_v8m/6class2/args.yaml create mode 100644 vis6class_exp/vis6class_v8m/6class2/results.csv create mode 100644 vis6class_exp/vis6class_v8m/6class_final/args.yaml create mode 100644 vis6class_exp/vis6class_v8m/6class_final/results.csv diff --git a/.gitignore b/.gitignore index 5d381cc..a0f272b 100644 --- a/.gitignore +++ b/.gitignore @@ -1,162 +1,104 @@ -# ---> Python -# Byte-compiled / optimized / DLL files +# ----------------------------- +# OS 기본 파일 +# ----------------------------- +.DS_Store +Thumbs.db + +# ----------------------------- +# Python 환경 +# ----------------------------- __pycache__/ -*.py[cod] -*$py.class - -# C extensions +*.pyc +*.pyo +*.pyd *.so -# Distribution / packaging -.Python -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ +# 가상환경 +env/ +venv/ +.mipenv +/*.egg-info/ .eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -share/python-wheels/ -*.egg-info/ -.installed.cfg -*.egg -MANIFEST -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.nox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*.cover -*.py,cover -.hypothesis/ -.pytest_cache/ -cover/ - -# Translations -*.mo -*.pot +# Poetry / pipenv +.cache/ +.venv/ + +# ----------------------------- +# IDE / Editor 관련 +# ----------------------------- +.vscode/ +.idea/ +*.swp +*.swo + +# ----------------------------- +# 데이터, 모델, 체크포인트 +# ----------------------------- +# 모델 파일 +*.pt +*.pth +*.ckpt +*.onnx +*.trt +*.pb +*.h5 + +# 학습 관련 출력 +runs/ +logs/ +tensorboard/ +lightning_logs/ +checkpoint/ +checkpoints/ + +# 데이터셋 (원하면 제외 가능) +data/ +dataset/ +datasets/ + +# 결과물 (이미지/비디오/추론 결과) +outputs/ +results/ +inference/ +*.jpg +*.png +*.jpeg +*.bmp +*.mp4 +*.avi + +# ----------------------------- +# PyTorch & HuggingFace 캐시 +# ----------------------------- +/root/.cache/torch/ +/cache/ +/.torch/ +huggingface/ +transformers/ + +# ----------------------------- +# Jupyter 관련 +# ----------------------------- +.ipynb_checkpoints/ +*.ipynb~ + +# ----------------------------- +# 컴파일/빌드 아티팩트 +# ----------------------------- +build/ +dist/ +*.bin -# Django stuff: +# ----------------------------- +# Temp 파일 +# ----------------------------- +tmp/ +temp/ *.log -local_settings.py -db.sqlite3 -db.sqlite3-journal - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -.pybuilder/ -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# IPython -profile_default/ -ipython_config.py - -# pyenv -# For a library or package, you might want to ignore these files since the code is -# intended to run in multiple environments; otherwise, check them in: -# .python-version -# pipenv -# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. -# However, in case of collaboration, if having platform-specific dependencies or dependencies -# having no cross-platform support, pipenv may install dependencies that don't work, or not -# install all needed dependencies. -#Pipfile.lock - -# poetry -# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control -#poetry.lock - -# pdm -# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. -#pdm.lock -# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it -# in version control. -# https://pdm.fming.dev/#use-with-ide -.pdm.toml - -# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm -__pypackages__/ - -# Celery stuff -celerybeat-schedule -celerybeat.pid - -# SageMath parsed files -*.sage.py - -# Environments +# ----------------------------- +# 환경 변수 파일 +# ----------------------------- .env -.venv -env/ -venv/ -ENV/ -env.bak/ -venv.bak/ - -# Spyder project settings -.spyderproject -.spyproject - -# Rope project settings -.ropeproject - -# mkdocs documentation -/site - -# mypy -.mypy_cache/ -.dmypy.json -dmypy.json - -# Pyre type checker -.pyre/ - -# pytype static type analyzer -.pytype/ - -# Cython debug symbols -cython_debug/ - -# PyCharm -# JetBrains specific template is maintained in a separate JetBrains.gitignore that can -# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore -# and can be added to the global gitignore or merged into this file. For a more nuclear -# option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ - +.env.* diff --git a/Paddle_ocr/PaddleOCR b/Paddle_ocr/PaddleOCR new file mode 160000 index 0000000..8853b21 --- /dev/null +++ b/Paddle_ocr/PaddleOCR @@ -0,0 +1 @@ +Subproject commit 8853b21cfea6863c9a6797f7cb8cf0da8c50d920 diff --git a/Paddle_ocr/inference_pgnet.py b/Paddle_ocr/inference_pgnet.py new file mode 100644 index 0000000..19554f6 --- /dev/null +++ b/Paddle_ocr/inference_pgnet.py @@ -0,0 +1,126 @@ +import argparse +import os + +import cv2 +import numpy as np +import onnxruntime +from paddleocr.ppocr.data.imaug.operators import (E2EResizeForTest, KeepKeys, + NormalizeImage, ToCHWImage) +from paddleocr.ppocr.postprocess.pg_postprocess import PGPostProcess + +# from pgnet.chr_dct import chr_dct_list + + +class PGNetPredictor: + def __init__(self, img_path, cpu): + self.img_path = img_path + self.dict_path = "ic15_dict.txt" + # if not os.path.exists(self.dict_path): + # with open(self.dict_path, "w") as f: + # f.writelines(chr_dct_list) + if not cpu: + providers = ["CUDAExecutionProvider"] + else: + providers = ["CPUExecutionProvider"] + self.sess = onnxruntime.InferenceSession( + args.model_path, providers=providers) + + def preprocess(self, img_path): + img = cv2.imread(img_path) + self.ori_im = img.copy() + data = {"image": img} + transforms = [ + E2EResizeForTest(max_side_len=768, valid_set="totaltext"), + NormalizeImage( + scale=1.0 / 255.0, + mean=[0.485, 0.456, 0.406], + std=[0.229, 0.224, 0.225], + order="hwc", + ), + ToCHWImage(), + KeepKeys(keep_keys=["image", "shape"]), + ] + for transform in transforms: + data = transform(data) + img, shape_list = data + img = np.expand_dims(img, axis=0) + shape_list = np.expand_dims(shape_list, axis=0) + return img, shape_list + + def predict(self, img): + ort_inputs = {self.sess.get_inputs()[0].name: img} + outputs = self.sess.run(None, ort_inputs) + preds = {} + preds["f_border"] = outputs[0] + preds["f_char"] = outputs[1] + preds["f_direction"] = outputs[2] + preds["f_score"] = outputs[3] + return preds + + def filter_tag_det_res_only_clip(self, dt_boxes, image_shape): + img_height, img_width = image_shape[0:2] + dt_boxes_new = [] + for box in dt_boxes: + box = self.clip_det_res(box, img_height, img_width) + dt_boxes_new.append(box) + dt_boxes = np.array(dt_boxes_new) + return dt_boxes + + def clip_det_res(self, points, img_height, img_width): + for pno in range(points.shape[0]): + points[pno, 0] = int(min(max(points[pno, 0], 0), img_width - 1)) + points[pno, 1] = int(min(max(points[pno, 1], 0), img_height - 1)) + return points + + def postprocess(self, preds, shape_list): + pgpostprocess = PGPostProcess( + character_dict_path=self.dict_path, + valid_set="totaltext", + score_thresh=0.5, + mode="fast", + ) + post_result = pgpostprocess(preds, shape_list) + points, strs = post_result["points"], post_result["texts"] + dt_boxes = self.filter_tag_det_res_only_clip(points, self.ori_im.shape) + return dt_boxes, strs + + def __call__(self): + img, shape_list = self.preprocess(self.img_path) + preds = self.predict(img) + dt_boxes, strs = self.postprocess(preds, shape_list) + return dt_boxes, strs + + def draw(self, dt_boxes, strs, img_path): + src_im = cv2.imread(img_path) + width, height, _ = src_im.shape + for box, str in zip(dt_boxes, strs): + box = box.astype(np.int32).reshape((-1, 1, 2)) + cv2.polylines(src_im, [box], True, color=( + 255, 255, 0), thickness=2) + cv2.putText( + src_im, + str, + org=(int(box[0, 0, 0]), int(box[0, 0, 1])), + fontFace=cv2.FONT_HERSHEY_COMPLEX, + fontScale=0.7 / 500 * width / 2, + color=(0, 255, 0), + thickness=int(1 / 1000 * width), + ) + img_out_name = os.path.basename(img_path).split(".")[0] + img_out_name = f"{img_out_name}_pgnet.jpg" + cv2.imwrite(img_out_name, src_im) + return src_im + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="PGPNET inference") + parser.add_argument("model_path", type=str, help="onnxmodel path") + parser.add_argument("img_path", type=str, help="image path") + parser.add_argument( + "--cpu", action="store_true", help="cpu inference, default device is gpu" + ) + args = parser.parse_args() + pgnetpredictor = PGNetPredictor(args.img_path, args.cpu) + dt_boxes, strs = pgnetpredictor() + print(f"Predict string:{strs}") + pgnetpredictor.draw(dt_boxes, strs, args.img_path) \ No newline at end of file diff --git a/Paddle_ocr/requirements.txt b/Paddle_ocr/requirements.txt new file mode 100644 index 0000000..69aebda --- /dev/null +++ b/Paddle_ocr/requirements.txt @@ -0,0 +1,2 @@ +onnxruntime-gpu +paddleocr \ No newline at end of file diff --git a/Paddle_ocr/video_pgnet_infer.py b/Paddle_ocr/video_pgnet_infer.py new file mode 100644 index 0000000..27ad598 --- /dev/null +++ b/Paddle_ocr/video_pgnet_infer.py @@ -0,0 +1,127 @@ +import argparse +import os +import cv2 +import numpy as np +import onnxruntime +from paddleocr.ppocr.data.imaug.operators import ( + E2EResizeForTest, KeepKeys, NormalizeImage, ToCHWImage +) +# from ppocr.data.imaug.operators import ( +# E2EResizeForTest, KeepKeys, NormalizeImage, ToCHWImage +# ) +from paddleocr.ppocr.postprocess.pg_postprocess import PGPostProcess +# from ppocr.postprocess.pg_postprocess import PGPostProcess +from pgnet.chr_dct import chr_dct_list + + +class PGNetPredictor: + def __init__(self, model_path, cpu=False): + self.model_path = model_path + self.dict_path = "ic15_dict.txt" + + if not os.path.exists(self.dict_path): + with open(self.dict_path, "w") as f: + f.writelines(chr_dct_list) + + providers = ["CPUExecutionProvider"] if cpu else ["CUDAExecutionProvider"] + self.sess = onnxruntime.InferenceSession(model_path, providers=providers) + + self.transforms = [ + E2EResizeForTest(max_side_len=768, valid_set="totaltext"), + NormalizeImage(scale=1/255.0, mean=[0.485,0.456,0.406], + std=[0.229,0.224,0.225], order="hwc"), + ToCHWImage(), + KeepKeys(keep_keys=["image", "shape"]), + ] + + self.pgpostprocess = PGPostProcess( + character_dict_path=self.dict_path, + valid_set="totaltext", + score_thresh=0.5, + mode="fast", + ) + + def preprocess(self, img): + self.ori_im = img.copy() + data = {"image": img} + + for transform in self.transforms: + data = transform(data) + + img, shape_list = data + return np.expand_dims(img, axis=0), np.expand_dims(shape_list, axis=0) + + def predict(self, img): + ort_inputs = {self.sess.get_inputs()[0].name: img} + outputs = self.sess.run(None, ort_inputs) + + return { + "f_border": outputs[0], + "f_char": outputs[1], + "f_direction": outputs[2], + "f_score": outputs[3], + } + + def clip_boxes(self, boxes, shape): + h, w = shape[:2] + clipped = [] + for box in boxes: + box[:, 0] = np.clip(box[:, 0], 0, w - 1) + box[:, 1] = np.clip(box[:, 1], 0, h - 1) + clipped.append(box) + return np.array(clipped) + + def postprocess(self, preds, shape_list): + result = self.pgpostprocess(preds, shape_list) + pts, texts = result["points"], result["texts"] + return self.clip_boxes(pts, self.ori_im.shape), texts + + def infer(self, img): + img_input, shape = self.preprocess(img) + preds = self.predict(img_input) + return self.postprocess(preds, shape) + + +def draw_results(frame, boxes, texts): + for box, text in zip(boxes, texts): + box = box.astype(int).reshape(-1, 1, 2) + cv2.polylines(frame, [box], True, (255,255,0), 2) + cv2.putText(frame, text, tuple(box[0][0]), cv2.FONT_HERSHEY_SIMPLEX, + 0.7, (0,255,0), 2) + return frame + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="PGNet Video OCR") + parser.add_argument("--model", type=str, required=True) + parser.add_argument("--video", type=str, required=True) + parser.add_argument("--cpu", action="store_true") + args = parser.parse_args() + + predictor = PGNetPredictor(args.model, args.cpu) + + cap = cv2.VideoCapture(args.video) + width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) + height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) + fps = cap.get(cv2.CAP_PROP_FPS) + + out_name = os.path.splitext(os.path.basename(args.video))[0] + "_pgnet_output.mp4" + out_path = os.path.join(os.path.dirname(args.video), out_name) + + writer = cv2.VideoWriter(out_path, cv2.VideoWriter_fourcc(*"mp4v"), fps, (width, height)) + + print(f"▶ Processing video... (Output: {out_path})") + + while True: + ret, frame = cap.read() + if not ret: + break + + boxes, texts = predictor.infer(frame) + frame = draw_results(frame, boxes, texts) + writer.write(frame) + + cap.release() + writer.release() + + print("🎉 Done! Video saved:", out_path) diff --git a/YOLO_FACE_EXP/dataset.py b/YOLO_FACE_EXP/dataset.py new file mode 100644 index 0000000..2b914c7 --- /dev/null +++ b/YOLO_FACE_EXP/dataset.py @@ -0,0 +1,39 @@ +import torch +from torchvision import datasets, transforms +from torch.utils.data import DataLoader +import os + +def get_face_dataloaders(data_dir, batch_size=64, num_workers=4): + """ + Input: data_dir (e.g., ~/face_exp/datasets) + Structure assumed: data_dir/CASIA-WebFace/ID/images.jpg + """ + + # 1. Train Transform (Augmentation + Resize to 128x128) + train_transform = transforms.Compose([ + transforms.Resize((128, 128), interpolation=transforms.InterpolationMode.BICUBIC), + transforms.RandomHorizontalFlip(p=0.5), + transforms.ColorJitter(brightness=0.1, contrast=0.1, saturation=0.1), + transforms.ToTensor(), + transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) + ]) + + # 2. Path Setup + train_dir = os.path.join(data_dir, 'CASIA-WebFace') + + if not os.path.exists(train_dir): + raise FileNotFoundError(f"데이터셋 경로를 찾을 수 없습니다: {train_dir}\n'CASIA-WebFace' 폴더가 해당 위치에 있는지 확인해주세요.") + + # 3. Dataset & Loader + train_dataset = datasets.ImageFolder(root=train_dir, transform=train_transform) + + train_loader = DataLoader( + train_dataset, + batch_size=batch_size, + shuffle=True, + num_workers=num_workers, + pin_memory=True, + drop_last=True + ) + + return train_loader, len(train_dataset.classes) \ No newline at end of file diff --git a/YOLO_FACE_EXP/export_onnx.py b/YOLO_FACE_EXP/export_onnx.py new file mode 100644 index 0000000..f1320a3 --- /dev/null +++ b/YOLO_FACE_EXP/export_onnx.py @@ -0,0 +1,71 @@ +import torch +import argparse +import os +from model import get_face_model + +def export_to_onnx(pt_path, output_path): + print(f"🔄 Loading model from: {pt_path}") + + # 1. 모델 구조 불러오기 및 가중치 로드 + # 보드용 모델이므로 학습용 ArcFace 헤더는 버리고, Backbone만 가져옵니다. + model = get_face_model() + + # CPU로 로드 (변환은 굳이 GPU 불필요) + checkpoint = torch.load(pt_path, map_location='cpu') + + # state_dict 로드 (혹시 모를 키 불일치 방지를 위해 strict=False는 선택사항이나, 여기선 구조가 같으므로 True 권장) + try: + model.load_state_dict(checkpoint) + except RuntimeError as e: + print(f"⚠️ Key mismatch detected. Trying to load with strict=False...") + model.load_state_dict(checkpoint, strict=False) + + # 2. Eval 모드 전환 (매우 중요) + # 이걸 안 하면 BatchNorm, Dropout 등이pip 학습 모드로 동작하여 결과가 이상해집니다. + model.eval() + + # 3. Dummy Input 생성 (Static Shape: 128x128) + # 보드 사양에 맞춰 배치 사이즈는 1로 고정합니다. [1, 3, 128, 128] + dummy_input = torch.randn(1, 3, 128, 128) + + print(f"Target ONNX Path: {output_path}") + + # 4. ONNX Export + # external_data=False는 PyTorch export에서 기본적으로 2GB 미만 모델에 대해 적용되어 단일 파일로 나옵니다. + # dynamic_axes 옵션을 뺌으로써 Static Shape을 강제합니다. + torch.onnx.export( + model, # 실행될 모델 + dummy_input, # 모델 입력값 (차원 체크용) + output_path, # 저장될 경로 + # export_params=True, # 모델 파일 안에 웨이트 저장 (external_data=False 효과) + # opset_version=11, # 임베디드 보드에서 가장 호환성 좋은 버전 (11 추천) + # do_constant_folding=True, # 상수 폴딩 최적화 + input_names=['input'], # 입력 노드 이름 + output_names=['output'], # 출력 노드 이름 + external_data=False + # dynamic_axes={...} <-- 이 옵션을 사용하지 않음으로써 Static Shape으로 고정됨! + ) + + print(f"✅ Conversion Completed! Model saved at: {output_path}") + print(f"ℹ️ Input Shape: {dummy_input.shape} (Static)") + print(f"ℹ️ Please check if '{output_path}' is a single file.") + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description='Convert PyTorch model to ONNX') + + # 입력받을 .pt 파일 경로 + parser.add_argument('--input', type=str, required=True, help='Input .pt file path') + + # 출력할 .onnx 파일 경로 (옵션) + parser.add_argument('--output', type=str, default=None, help='Output .onnx file path') + + args = parser.parse_args() + + # Output 경로가 없으면 Input 경로에서 확장자만 바꿔서 자동 지정 + if args.output is None: + args.output = args.input.replace('.pt', '.onnx') + + if not os.path.exists(args.input): + print(f"❌ Error: Input file not found: {args.input}") + else: + export_to_onnx(args.input, args.output) \ No newline at end of file diff --git a/YOLO_FACE_EXP/face_recog_exp.ipynb b/YOLO_FACE_EXP/face_recog_exp.ipynb new file mode 100644 index 0000000..0c7fe62 --- /dev/null +++ b/YOLO_FACE_EXP/face_recog_exp.ipynb 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shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 2.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 2.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 2.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 2.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 2.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.2ms\n", + "Speed: 0.5ms preprocess, 2.2ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "얼굴 크롭 이미지 저장 완료: /home/cuuva/다운로드/face_dataset/, 총 770장\n" + ] + } + ], + "source": [ + "import cv2\n", + "from ultralytics import YOLO\n", + "import os\n", + "\n", + "# -----------------------\n", + "# 1. 설정\n", + "# -----------------------\n", + "VIDEO_PATH = \"/home/cuuva/다운로드/face_recog.MOV\"\n", + "YOLO_MODEL_PATH = \"/home/cuuva/experiment/yolov8n-face.pt\"\n", + "OUTPUT_DIR = \"/home/cuuva/다운로드/face_dataset/\"\n", + "\n", + "os.makedirs(OUTPUT_DIR, exist_ok=True)\n", + "\n", + "# -----------------------\n", + "# 2. YOLO 모델 로드\n", + "# -----------------------\n", + "yolo = YOLO(YOLO_MODEL_PATH)\n", + "\n", + "# -----------------------\n", + "# 3. 영상 열기\n", + "# -----------------------\n", + "cap = cv2.VideoCapture(VIDEO_PATH)\n", + "frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))\n", + "print(\"총 프레임 수:\", frame_count)\n", + "\n", + "save_idx = 0\n", + "while True:\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " # 1) 얼굴 탐지\n", + " results = yolo.predict(frame)\n", + " \n", + " if len(results) > 0:\n", + " boxes = results[0].boxes.xyxy.cpu().numpy() # (x1,y1,x2,y2)\n", + " for box in boxes:\n", + " x1, y1, x2, y2 = map(int, box)\n", + " \n", + " # 2) 얼굴 크롭\n", + " face_crop = frame[y1:y2, x1:x2]\n", + " \n", + " # 3) 이미지 저장\n", + " save_path = os.path.join(OUTPUT_DIR, f\"face_{save_idx:05d}.jpg\")\n", + " cv2.imwrite(save_path, face_crop)\n", + " save_idx += 1\n", + "\n", + "cap.release()\n", + "print(f\"얼굴 크롭 이미지 저장 완료: {OUTPUT_DIR}, 총 {save_idx}장\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ead9fd78", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "모든 이미지 128x128 변환 완료! 저장 폴더: /home/cuuva/다운로드/face_dataset_128/\n" + ] + } + ], + "source": [ + "import cv2\n", + "import os\n", + "\n", + "# -----------------------\n", + "# 1. 설정\n", + "# -----------------------\n", + "INPUT_DIR = \"/home/cuuva/다운로드/face_dataset/\"\n", + "OUTPUT_DIR = \"/home/cuuva/다운로드/face_dataset_128/\"\n", + "\n", + "os.makedirs(OUTPUT_DIR, exist_ok=True)\n", + "\n", + "# -----------------------\n", + "# 2. 이미지 읽어서 128x128로 변환 후 저장\n", + "# -----------------------\n", + "for fname in os.listdir(INPUT_DIR):\n", + " if not fname.lower().endswith((\".jpg\", \".png\")):\n", + " continue\n", + " \n", + " img_path = os.path.join(INPUT_DIR, fname)\n", + " img = cv2.imread(img_path)\n", + " if img is None:\n", + " continue\n", + "\n", + " # 128x128로 resize\n", + " img_resized = cv2.resize(img, (128, 128), interpolation=cv2.INTER_LINEAR)\n", + "\n", + " # 저장\n", + " save_path = os.path.join(OUTPUT_DIR, fname)\n", + " cv2.imwrite(save_path, img_resized)\n", + "\n", + "print(f\"모든 이미지 128x128 변환 완료! 저장 폴더: {OUTPUT_DIR}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "fb1762a3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "0: 384x640 2 faces, 3.9ms\n", + "Speed: 0.9ms preprocess, 3.9ms inference, 1.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 2.2ms preprocess, 6.4ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.3ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.3ms preprocess, 4.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 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postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 8.1ms\n", + "Speed: 0.7ms preprocess, 8.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.2ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.0ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 2.3ms preprocess, 6.4ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.4ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.3ms\n", + "Speed: 0.6ms preprocess, 2.3ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms 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preprocess, 8.4ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 11.3ms\n", + "Speed: 2.0ms preprocess, 11.3ms inference, 33.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.2ms\n", + "Speed: 0.9ms preprocess, 6.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.5ms preprocess, 6.3ms inference, 17.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "자동 계산된 cosine similarity threshold: 0.8727427363395691\n", + "총 프레임 수: 385\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 0.9ms preprocess, 4.0ms inference, 7.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.1ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 2.3ms preprocess, 6.4ms inference, 36.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.5ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 1.7ms preprocess, 6.4ms inference, 10.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.4ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.0ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.6ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 0.7ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.2ms preprocess, 4.0ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 0.9ms preprocess, 6.3ms inference, 29.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.2ms\n", + "Speed: 0.6ms preprocess, 2.2ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 4.4ms preprocess, 6.3ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.6ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 0.9ms preprocess, 4.0ms inference, 27.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.2ms preprocess, 6.3ms inference, 31.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.2ms\n", + "Speed: 0.8ms preprocess, 4.2ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.6ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.6ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.5ms preprocess, 6.3ms inference, 30.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 3.5ms\n", + "Speed: 0.6ms preprocess, 3.5ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.3ms preprocess, 4.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 0.8ms preprocess, 4.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.3ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.3ms preprocess, 6.3ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.2ms\n", + "Speed: 0.6ms preprocess, 5.2ms inference, 2.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.0ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.3ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.1ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 0.9ms preprocess, 4.1ms inference, 29.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.7ms preprocess, 4.0ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.7ms preprocess, 4.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 2.2ms preprocess, 6.4ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.9ms preprocess, 4.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.7ms preprocess, 4.0ms inference, 13.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.5ms preprocess, 6.3ms inference, 31.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 3.5ms\n", + "Speed: 0.8ms preprocess, 3.5ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.9ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.4ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.4ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.3ms preprocess, 4.0ms inference, 34.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.9ms\n", + "Speed: 0.7ms preprocess, 2.9ms inference, 11.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 8.5ms\n", + "Speed: 1.2ms preprocess, 8.5ms inference, 12.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.4ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 2.4ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.2ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.2ms preprocess, 4.0ms inference, 33.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.8ms preprocess, 4.0ms inference, 31.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.7ms\n", + "Speed: 0.6ms preprocess, 2.7ms inference, 33.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.0ms preprocess, 6.3ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.7ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.1ms preprocess, 6.3ms inference, 25.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.7ms preprocess, 6.3ms inference, 33.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.4ms preprocess, 4.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.4ms preprocess, 6.3ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.6ms preprocess, 6.3ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.4ms preprocess, 6.3ms inference, 11.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.2ms preprocess, 6.3ms inference, 31.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 3.1ms\n", + "Speed: 0.6ms preprocess, 3.1ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.2ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 8.4ms\n", + "Speed: 1.7ms preprocess, 8.4ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 2.3ms preprocess, 4.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 8.4ms\n", + "Speed: 2.5ms preprocess, 8.4ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 2.4ms preprocess, 4.1ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.5ms\n", + "Speed: 0.7ms preprocess, 2.5ms inference, 33.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.6ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 0.9ms preprocess, 4.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.8ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.7ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.4ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.8ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.9ms preprocess, 6.3ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.2ms\n", + "Speed: 1.2ms preprocess, 5.2ms inference, 12.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.3ms preprocess, 4.0ms inference, 34.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 0.9ms preprocess, 4.0ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 2.1ms preprocess, 6.4ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.0ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.6ms preprocess, 6.3ms inference, 22.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 1.9ms preprocess, 6.4ms inference, 33.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 3.5ms\n", + "Speed: 0.8ms preprocess, 3.5ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 3.1ms preprocess, 6.3ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.8ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 2.7ms preprocess, 4.1ms inference, 22.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.1ms preprocess, 4.1ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.5ms\n", + "Speed: 0.7ms preprocess, 5.5ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.0ms preprocess, 4.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 0.8ms preprocess, 6.4ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.9ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.7ms preprocess, 4.0ms inference, 6.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 3.6ms\n", + "Speed: 4.9ms preprocess, 3.6ms inference, 29.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.7ms\n", + "Speed: 0.7ms preprocess, 2.7ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.6ms preprocess, 4.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 2.6ms preprocess, 4.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 2.6ms preprocess, 6.4ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.2ms\n", + "Speed: 1.4ms preprocess, 2.2ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.6ms preprocess, 4.0ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.5ms\n", + "Speed: 0.7ms preprocess, 2.5ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.6ms preprocess, 4.0ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 2.4ms preprocess, 6.4ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.1ms\n", + "Speed: 0.8ms preprocess, 5.1ms inference, 33.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.8ms preprocess, 4.0ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 0.8ms preprocess, 4.0ms inference, 34.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.8ms\n", + "Speed: 0.9ms preprocess, 2.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + 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384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 2.4ms preprocess, 4.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.2ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 3.6ms\n", + "Speed: 4.0ms preprocess, 3.6ms inference, 10.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.1ms preprocess, 6.3ms inference, 29.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 4.2ms preprocess, 4.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.7ms\n", + "Speed: 2.4ms preprocess, 5.7ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 1.4ms preprocess, 6.4ms inference, 34.5ms postprocess per image 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image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.8ms preprocess, 4.1ms inference, 35.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.0ms preprocess, 4.0ms inference, 30.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 1.2ms preprocess, 4.1ms inference, 35.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.0ms preprocess, 4.0ms inference, 35.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 3.8ms preprocess, 4.0ms inference, 35.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.6ms preprocess, 4.0ms inference, 35.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.5ms preprocess, 6.3ms inference, 18.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.2ms\n", + "Speed: 2.1ms preprocess, 4.2ms inference, 33.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.5ms preprocess, 4.0ms inference, 35.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 2.4ms preprocess, 4.0ms inference, 35.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.6ms\n", + "Speed: 1.2ms preprocess, 6.6ms inference, 35.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 1.3ms preprocess, 6.4ms inference, 22.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.6ms\n", + "Speed: 0.6ms preprocess, 5.6ms inference, 35.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.5ms\n", + "Speed: 1.8ms preprocess, 6.5ms inference, 22.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.2ms preprocess, 4.0ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 8.4ms\n", + "Speed: 2.3ms preprocess, 8.4ms inference, 35.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.4ms\n", + "Speed: 1.2ms preprocess, 6.4ms inference, 35.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.7ms preprocess, 6.3ms inference, 14.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.6ms preprocess, 4.0ms inference, 31.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.2ms\n", + "Speed: 1.9ms preprocess, 6.2ms inference, 35.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 2.1ms preprocess, 6.3ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.1ms\n", + "Speed: 0.8ms preprocess, 4.1ms inference, 35.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.0ms\n", + "Speed: 1.9ms preprocess, 4.0ms inference, 16.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.2ms preprocess, 6.3ms inference, 33.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 4.2ms\n", + "Speed: 1.1ms preprocess, 4.2ms inference, 34.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.3ms\n", + "Speed: 1.5ms preprocess, 6.3ms inference, 35.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.4ms\n", + "Speed: 0.9ms preprocess, 5.4ms inference, 34.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 3.8ms\n", + "Speed: 4.1ms preprocess, 3.8ms inference, 13.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 6.8ms\n", + "Speed: 2.8ms preprocess, 6.8ms inference, 40.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 5.2ms\n", + "Speed: 3.2ms preprocess, 5.2ms inference, 41.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 7.4ms\n", + "Speed: 2.5ms preprocess, 7.4ms inference, 42.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 8.1ms\n", + "Speed: 1.0ms preprocess, 8.1ms inference, 38.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "모자이크 영상 저장 완료: /home/cuuva/다운로드/face_recog_infer.mp4\n" + ] + } + ], + "source": [ + "import cv2\n", + "import numpy as np\n", + "import onnxruntime as ort\n", + "from ultralytics import YOLO\n", + "import os\n", + "\n", + "# -----------------------\n", + "# 1. 설정\n", + "# -----------------------\n", + "VIDEO_PATH = \"/home/cuuva/다운로드/face_recog.MOV\"\n", + "OUTPUT_PATH = \"/home/cuuva/다운로드/face_recog_infer.mp4\"\n", + "\n", + "YOLO_MODEL_PATH = \"/home/cuuva/experiment/yolov8n-face.pt\"\n", + "FACENET_ONNX_PATH = \"/home/cuuva/face_exp/MobileFaceNet_Pytorch/result(MODEL_2)/ONNX/MODEL_2_20251201_101922/model_2_test.onnx\"\n", + "YU_EMBEDDINGS_PATH = \"/home/cuuva/다운로드/face_dataset_128/\"\n", + "\n", + "SAMPLE_FRAMES = 50 # 얼굴 샘플링할 프레임 수\n", + "\n", + "# -----------------------\n", + "# 2. MobileFaceNet ONNX 로드\n", + "# -----------------------\n", + "session = ort.InferenceSession(FACENET_ONNX_PATH, providers=['CPUExecutionProvider'])\n", + "input_name = session.get_inputs()[0].name\n", + "output_name = session.get_outputs()[0].name\n", + "\n", + "def preprocess(img):\n", + " img = cv2.resize(img, (128, 128))\n", + " img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n", + " img = img.astype(np.float32) / 128.0 - 1.0\n", + " img = np.transpose(img, (2,0,1))\n", + " img = np.expand_dims(img, axis=0)\n", + " return img\n", + "\n", + "def get_embedding(img):\n", + " img_pre = preprocess(img)\n", + " embedding = session.run([output_name], {input_name: img_pre})[0]\n", + " embedding = embedding / np.linalg.norm(embedding)\n", + " return embedding[0]\n", + "\n", + "# -----------------------\n", + "# 3. 유재석 대표 임베딩 계산\n", + "# -----------------------\n", + "yu_embeddings = []\n", + "for fname in os.listdir(YU_EMBEDDINGS_PATH):\n", + " if fname.lower().endswith((\".jpg\",\".png\")):\n", + " img = cv2.imread(os.path.join(YU_EMBEDDINGS_PATH, fname))\n", + " if img is None:\n", + " continue\n", + " emb = get_embedding(img)\n", + " yu_embeddings.append(emb)\n", + "\n", + "yu_embeddings = np.array(yu_embeddings)\n", + "yu_mean = np.mean(yu_embeddings, axis=0)\n", + "yu_mean = yu_mean / np.linalg.norm(yu_mean)\n", + "\n", + "# -----------------------\n", + "# 3-1. YOLO 얼굴 샘플링\n", + "# -----------------------\n", + "yolo = YOLO(YOLO_MODEL_PATH)\n", + "cap = cv2.VideoCapture(VIDEO_PATH)\n", + "sampled_embeddings = []\n", + "\n", + "frame_idx = 0\n", + "while frame_idx < SAMPLE_FRAMES:\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " results = yolo.predict(frame)\n", + " if len(results) > 0:\n", + " boxes = results[0].boxes.xyxy.cpu().numpy()\n", + " for box in boxes:\n", + " x1, y1, x2, y2 = map(int, box)\n", + " face_crop = frame[y1:y2, x1:x2]\n", + " try:\n", + " emb = get_embedding(face_crop)\n", + " sampled_embeddings.append(emb)\n", + " except:\n", + " continue\n", + " frame_idx += 1\n", + "\n", + "cap.release()\n", + "\n", + "# -----------------------\n", + "# 3-2. threshold 자동 계산\n", + "# -----------------------\n", + "# 유재석 얼굴 vs 영상 속 샘플 얼굴 cosine similarity\n", + "cos_sims = [np.dot(emb, yu_mean) for emb in sampled_embeddings]\n", + "# 안전 margin: 유재석 얼굴 평균 - std/2\n", + "DIST_THRESHOLD = min(np.dot(e, yu_mean) for e in yu_embeddings) - 0.1\n", + "print(\"자동 계산된 cosine similarity threshold:\", DIST_THRESHOLD)\n", + "\n", + "def is_not_yu(emb):\n", + " cos_sim = np.dot(emb, yu_mean)\n", + " return cos_sim < DIST_THRESHOLD\n", + "\n", + "# -----------------------\n", + "# 4. 영상 처리 및 모자이크\n", + "# -----------------------\n", + "cap = cv2.VideoCapture(VIDEO_PATH)\n", + "fps = cap.get(cv2.CAP_PROP_FPS)\n", + "width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n", + "height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n", + "fourcc = cv2.VideoWriter_fourcc(*\"mp4v\")\n", + "out = cv2.VideoWriter(OUTPUT_PATH, fourcc, fps, (width, height))\n", + "\n", + "frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))\n", + "print(\"총 프레임 수:\", frame_count)\n", + "\n", + "while True:\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " results = yolo.predict(frame)\n", + " if len(results) > 0:\n", + " boxes = results[0].boxes.xyxy.cpu().numpy()\n", + " for box in boxes:\n", + " x1, y1, x2, y2 = map(int, box)\n", + " face_crop = frame[y1:y2, x1:x2]\n", + "\n", + " try:\n", + " emb = get_embedding(face_crop)\n", + " except Exception as e:\n", + " print(\"embedding error:\", e)\n", + " continue\n", + "\n", + " if is_not_yu(emb):\n", + " # 모자이크 적용\n", + " face_h, face_w = y2 - y1, x2 - x1\n", + " face = frame[y1:y2, x1:x2]\n", + " mosaic = cv2.resize(face, (16,16), interpolation=cv2.INTER_LINEAR)\n", + " mosaic = cv2.resize(mosaic, (face_w, face_h), interpolation=cv2.INTER_NEAREST)\n", + " frame[y1:y2, x1:x2] = mosaic\n", + "\n", + " out.write(frame)\n", + "\n", + "cap.release()\n", + "out.release()\n", + "print(\"모자이크 영상 저장 완료:\", OUTPUT_PATH)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3cedc15", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/YOLO_FACE_EXP/model.py b/YOLO_FACE_EXP/model.py new file mode 100644 index 0000000..4df0c61 --- /dev/null +++ b/YOLO_FACE_EXP/model.py @@ -0,0 +1,149 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +import math + +# -------------------------------------------------------- +# Basic Blocks (Quantization Friendly: ReLU used) +# -------------------------------------------------------- +def conv3x3(in_planes, out_planes, stride=1): + return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, + padding=1, bias=False) + +class Bottleneck(nn.Module): + expansion = 4 + + def __init__(self, inplanes, planes, stride=1, downsample=None): + super(Bottleneck, self).__init__() + # Kernel size restricted to 1 and 3 for board compatibility + self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False) + self.bn1 = nn.BatchNorm2d(planes) + self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride, padding=1, bias=False) + self.bn2 = nn.BatchNorm2d(planes) + self.conv3 = nn.Conv2d(planes, planes * self.expansion, kernel_size=1, bias=False) + self.bn3 = nn.BatchNorm2d(planes * self.expansion) + # self.relu = nn.ReLU(inplace=True) # PReLU -> ReLU + self.relu = nn.ReLU(inplace=False) # PReLU -> ReLU + self.downsample = downsample + self.stride = stride + + def forward(self, x): + residual = x + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) + out = self.conv2(out) + out = self.bn2(out) + out = self.relu(out) + out = self.conv3(out) + out = self.bn3(out) + if self.downsample is not None: + residual = self.downsample(x) + out += residual + out = self.relu(out) + return out + +# -------------------------------------------------------- +# Backbone: Modified ResNet-50 +# -------------------------------------------------------- +class ResNetFace(nn.Module): + def __init__(self, block, layers, embedding_size=128): + super(ResNetFace, self).__init__() + self.inplanes = 64 + + # Stem Block: 7x7 replaced by three 3x3 convs + self.stem = nn.Sequential( + nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1, bias=False), + nn.BatchNorm2d(64), + # nn.ReLU(inplace=True), + nn.ReLU(inplace=False), + nn.Conv2d(64, 64, kernel_size=3, stride=1, padding=1, bias=False), + nn.BatchNorm2d(64), + # nn.ReLU(inplace=True), + nn.ReLU(inplace=False), + nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1, bias=False), + nn.BatchNorm2d(64), + # nn.ReLU(inplace=True), + nn.ReLU(inplace=False), + ) + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + + self.layer1 = self._make_layer(block, 64, layers[0]) + self.layer2 = self._make_layer(block, 128, layers[1], stride=2) + self.layer3 = self._make_layer(block, 256, layers[2], stride=2) + self.layer4 = self._make_layer(block, 512, layers[3], stride=2) + + # Output Head: 128x128 Input -> 4x4 Feature Map + self.avgpool = nn.AvgPool2d(4) # Result: 1x1 + + # FC layer replaced by 1x1 Conv for 128-d embedding + self.fc_conv = nn.Conv2d(512 * block.expansion, embedding_size, kernel_size=1, bias=False) + self.bn_last = nn.BatchNorm2d(embedding_size) + + # Init weights + for m in self.modules(): + if isinstance(m, nn.Conv2d): + nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu') + elif isinstance(m, nn.BatchNorm2d): + nn.init.constant_(m.weight, 1) + nn.init.constant_(m.bias, 0) + + def _make_layer(self, block, planes, blocks, stride=1): + downsample = None + if stride != 1 or self.inplanes != planes * block.expansion: + downsample = nn.Sequential( + nn.Conv2d(self.inplanes, planes * block.expansion, + kernel_size=1, stride=stride, bias=False), + nn.BatchNorm2d(planes * block.expansion), + ) + layers = [] + layers.append(block(self.inplanes, planes, stride, downsample)) + self.inplanes = planes * block.expansion + for _ in range(1, blocks): + layers.append(block(self.inplanes, planes)) + return nn.Sequential(*layers) + + def forward(self, x): + x = self.stem(x) + x = self.maxpool(x) + x = self.layer1(x) + x = self.layer2(x) + x = self.layer3(x) + x = self.layer4(x) + x = self.avgpool(x) + x = self.fc_conv(x) + x = self.bn_last(x) # Output: [N, 128, 1, 1] + return x + +# -------------------------------------------------------- +# ArcFace Loss Header +# -------------------------------------------------------- +class ArcFace(nn.Module): + def __init__(self, in_features, out_features, s=64.0, m=0.50): + super(ArcFace, self).__init__() + self.in_features = in_features + self.out_features = out_features + self.s = s + self.m = m + self.weight = nn.Parameter(torch.FloatTensor(out_features, in_features)) + nn.init.xavier_uniform_(self.weight) + + def forward(self, input, label): + # Flatten [N, 128, 1, 1] -> [N, 128] for loss calculation + embedding = input.view(input.size(0), -1) + + cosine = F.linear(F.normalize(embedding), F.normalize(self.weight)) + + # Stable implementation of ArcFace + theta = torch.acos(torch.clamp(cosine, -1.0 + 1e-7, 1.0 - 1e-7)) + target_logits = torch.cos(theta + self.m) + + one_hot = torch.zeros_like(cosine) + one_hot.scatter_(1, label.view(-1, 1).long(), 1) + + output = one_hot * target_logits + (1.0 - one_hot) * cosine + output *= self.s + return output + +def get_face_model(): + return ResNetFace(Bottleneck, [3, 4, 6, 3], embedding_size=128) \ No newline at end of file diff --git a/YOLO_FACE_EXP/train_ver1.py b/YOLO_FACE_EXP/train_ver1.py new file mode 100644 index 0000000..0921b86 --- /dev/null +++ b/YOLO_FACE_EXP/train_ver1.py @@ -0,0 +1,120 @@ +import torch +import torch.nn as nn +import torch.optim as optim +import os +import argparse +from tqdm import tqdm +from datetime import datetime # 시간 정보를 가져오기 위해 추가 + +# Import our custom modules +from model import get_face_model, ArcFace +from dataset import get_face_dataloaders + +def main(): + # -------------------------------------------------------- + # 1. Hyperparameters & Settings + # -------------------------------------------------------- + parser = argparse.ArgumentParser(description='Face Recognition Training for Apache 6') + + # 데이터셋 경로 (사용자 환경에 맞게 기본값 설정) + parser.add_argument('--data_dir', type=str, default='/home/cuuva/face_exp/datasets', help='Path to datasets') + + # 결과 저장 최상위 경로 (여기 아래에 시간별 폴더가 생김) + parser.add_argument('--project_dir', type=str, default='./results', help='Base directory for results') + + parser.add_argument('--epochs', type=int, default=20, help='Number of epochs') + parser.add_argument('--batch_size', type=int, default=64, help='Batch size') + parser.add_argument('--lr', type=float, default=0.1, help='Learning rate') + + args = parser.parse_args() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + print(f"Device: {device}") + + # -------------------------------------------------------- + # [수정됨] 실험 디렉토리 생성 로직 (yy-mm-dd-hour-minute) + # -------------------------------------------------------- + # 현재 시간 구하기 + current_time = datetime.now().strftime("%y-%m-%d-%H-%M") + + # 최종 저장 경로: ./results/23-12-12-15-30/ + save_dir = os.path.join(args.project_dir, current_time) + + # 폴더 생성 + os.makedirs(save_dir, exist_ok=True) + print(f"✅ Experiment results will be saved to: {save_dir}") + + # -------------------------------------------------------- + # 2. Load Data + # -------------------------------------------------------- + print("Loading Data...") + try: + train_loader, num_classes = get_face_dataloaders(args.data_dir, args.batch_size) + print(f"Classes (People): {num_classes}, Batch Size: {args.batch_size}") + except Exception as e: + print(f"❌ Error loading data: {e}") + return + + # -------------------------------------------------------- + # 3. Initialize Model & Loss + # -------------------------------------------------------- + # Backbone (보드에 배포할 모델) + backbone = get_face_model().to(device) + + # ArcFace Header (학습용 Loss 계산기) + metric_fc = ArcFace(in_features=128, out_features=num_classes).to(device) + + # Loss + criterion = nn.CrossEntropyLoss() + + # Optimizer + optimizer = optim.SGD([ + {'params': backbone.parameters()}, + {'params': metric_fc.parameters()} + ], lr=args.lr, momentum=0.9, weight_decay=5e-4) + + # Scheduler + scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=[8, 14, 18], gamma=0.1) + + # -------------------------------------------------------- + # 4. Training Loop + # -------------------------------------------------------- + print("🚀 Start Training...") + + for epoch in range(args.epochs): + backbone.train() + metric_fc.train() + + running_loss = 0.0 + pbar = tqdm(train_loader, desc=f"Epoch {epoch+1}/{args.epochs}") + + for images, labels in pbar: + images, labels = images.to(device), labels.to(device) + + optimizer.zero_grad() + + # Forward Pass + features = backbone(images) # [N, 128, 1, 1] + outputs = metric_fc(features, labels) # [N, Num_Classes] + + # Loss Calc & Backward + loss = criterion(outputs, labels) + loss.backward() + optimizer.step() + + running_loss += loss.item() + pbar.set_postfix({'loss': running_loss / (pbar.n + 1)}) + + scheduler.step() + + # [수정됨] Save Checkpoint (.pt 확장자 사용) + # 해당 실험 폴더(save_dir) 안에 저장됨 + save_path = os.path.join(save_dir, f"backbone_epoch_{epoch+1}.pt") + torch.save(backbone.state_dict(), save_path) + + # 마지막 에폭일 때 로그 출력 + if epoch == args.epochs - 1: + print(f"🎉 Training Finished! Final model saved at: {save_path}") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/YOLO_FACE_EXP/train_ver2.py b/YOLO_FACE_EXP/train_ver2.py new file mode 100644 index 0000000..e817cfe --- /dev/null +++ b/YOLO_FACE_EXP/train_ver2.py @@ -0,0 +1,141 @@ +import torch +import torch.nn as nn +import torch.optim as optim +import os +import argparse +from tqdm import tqdm +from datetime import datetime +from torchvision import transforms +from torch.utils.data import DataLoader + +# Import Custom Modules +from model import get_face_model, ArcFace +from dataset import get_face_dataloaders +from validation import LFWDataset, validate_lfw + +def main(): + # 1. Hyperparameters + parser = argparse.ArgumentParser(description='Face Recognition Training with LFW Validation') + parser.add_argument('--data_dir', type=str, default='/home/cuuva/face_exp/datasets', help='Root dataset dir') + parser.add_argument('--project_dir', type=str, default='./results', help='Save dir') + parser.add_argument('--epochs', type=int, default=20) + parser.add_argument('--batch_size', type=int, default=64) + parser.add_argument('--lr', type=float, default=0.1) + args = parser.parse_args() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + print(f"Device: {device}") + + # 디렉토리 설정 + current_time = datetime.now().strftime("%y-%m-%d-%H-%M") + base_save_dir = os.path.join(args.project_dir, current_time) + best_save_dir = os.path.join(base_save_dir, 'best_model') + os.makedirs(best_save_dir, exist_ok=True) + + print(f"✅ Save path: {base_save_dir}") + + # 2. Train Data Loader + print("Loading Train Data...") + try: + train_loader, num_classes = get_face_dataloaders(args.data_dir, args.batch_size) + except Exception as e: + print(f"❌ Train Data Error: {e}") + return + + # -------------------------------------------------------- + # [수정됨] 3. LFW Validation Loader (경로 로직 개선) + # -------------------------------------------------------- + print("Loading LFW Data...") + + # pairs.txt가 있는 루트 경로: ~/face_exp/datasets/LFW + lfw_root = os.path.join(args.data_dir, 'LFW') + pairs_path = os.path.join(lfw_root, 'pairs.txt') + + # 실제 이미지가 있는 경로 찾기 + # 1순위: ~/face_exp/datasets/LFW/lfw (보여주신 구조) + # 2순위: ~/face_exp/datasets/LFW (일반적인 구조) + if os.path.exists(os.path.join(lfw_root, 'lfw')): + lfw_img_dir = os.path.join(lfw_root, 'lfw') + else: + lfw_img_dir = lfw_root + + print(f"ℹ️ Pairs path: {pairs_path}") + print(f"ℹ️ Images path: {lfw_img_dir}") + + if os.path.exists(pairs_path) and os.path.exists(lfw_img_dir): + lfw_transform = transforms.Compose([ + transforms.Resize((128, 128), interpolation=transforms.InterpolationMode.BICUBIC), + transforms.ToTensor(), + transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) + ]) + + # 여기서 lfw_img_dir를 넘겨주는 것이 핵심! + lfw_dataset = LFWDataset(lfw_img_dir, pairs_path, transform=lfw_transform) + + lfw_loader = DataLoader(lfw_dataset, batch_size=64, shuffle=False, num_workers=4, drop_last=False) + do_validation = True + print(f"✅ LFW Loaded. Pairs: {len(lfw_dataset)}") + else: + print(f"⚠️ Warning: 'pairs.txt' or Image dir not found. Skipping Validation.") + do_validation = False + + # 4. Model & Loss + backbone = get_face_model().to(device) + metric_fc = ArcFace(in_features=128, out_features=num_classes).to(device) + criterion = nn.CrossEntropyLoss() + + optimizer = optim.SGD([ + {'params': backbone.parameters()}, + {'params': metric_fc.parameters()} + ], lr=args.lr, momentum=0.9, weight_decay=5e-4) + + scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=[8, 14, 18], gamma=0.1) + + # 5. Training Loop + print("🚀 Start Training...") + + best_acc = 0.0 + + for epoch in range(args.epochs): + # --- TRAIN --- + backbone.train() + metric_fc.train() + + running_loss = 0.0 + pbar = tqdm(train_loader, desc=f"Epoch {epoch+1}/{args.epochs}") + + for images, labels in pbar: + images, labels = images.to(device), labels.to(device) + optimizer.zero_grad() + + features = backbone(images) + outputs = metric_fc(features, labels) + loss = criterion(outputs, labels) + loss.backward() + optimizer.step() + + running_loss += loss.item() + pbar.set_postfix({'loss': f"{running_loss / (pbar.n + 1):.4f}"}) + + scheduler.step() + + # --- VALIDATION (LFW) --- + if do_validation: + acc, th = validate_lfw(backbone, lfw_loader, device) + print(f"📊 LFW Acc: {acc*100:.2f}% (Threshold: {th:.2f})") + + if acc > best_acc: + best_acc = acc + save_path = os.path.join(best_save_dir, "best_backbone.pt") + torch.save(backbone.state_dict(), save_path) + print(f"🏆 Best Model Updated! Saved to {save_path}") + else: + save_path = os.path.join(base_save_dir, f"backbone_epoch_{epoch+1}.pt") + torch.save(backbone.state_dict(), save_path) + + torch.save(backbone.state_dict(), os.path.join(base_save_dir, "last_backbone.pt")) + + print("\n🎉 Training Finished!") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/YOLO_FACE_EXP/validation.py b/YOLO_FACE_EXP/validation.py new file mode 100644 index 0000000..3e3495c --- /dev/null +++ b/YOLO_FACE_EXP/validation.py @@ -0,0 +1,119 @@ +import torch +import torch.nn.functional as F +from torch.utils.data import Dataset, DataLoader +from torchvision import transforms +from PIL import Image +import os +import numpy as np + +# -------------------------------------------------------- +# 1. LFW Dataset Loader +# -------------------------------------------------------- +class LFWDataset(Dataset): + def __init__(self, lfw_dir, pairs_path, transform=None): + self.lfw_dir = lfw_dir + self.pairs_path = pairs_path + self.transform = transform + self.validation_images = self.get_lfw_paths(lfw_dir) + + def get_lfw_paths(self, lfw_dir): + # pairs.txt 파싱하여 이미지 경로 쌍과 정답(issame) 리스트 생성 + pairs = [] + with open(self.pairs_path, 'r') as f: + lines = f.readlines()[1:] # 첫 줄(헤더) 건너뜀 + + for line in lines: + p = line.strip().split('\t') + + if len(p) == 3: # 같은 사람 (name, img1_num, img2_num) + name = p[0] + img1 = os.path.join(lfw_dir, name, f"{name}_{int(p[1]):04d}.jpg") + img2 = os.path.join(lfw_dir, name, f"{name}_{int(p[2]):04d}.jpg") + issame = True + pairs.append((img1, img2, issame)) + + elif len(p) == 4: # 다른 사람 (name1, img1_num, name2, img2_num) + name1 = p[0] + img1 = os.path.join(lfw_dir, name1, f"{name1}_{int(p[1]):04d}.jpg") + name2 = p[2] + img2 = os.path.join(lfw_dir, name2, f"{name2}_{int(p[3]):04d}.jpg") + issame = False + pairs.append((img1, img2, issame)) + return pairs + + def __len__(self): + return len(self.validation_images) + + def __getitem__(self, index): + img1_path, img2_path, issame = self.validation_images[index] + + try: + img1 = Image.open(img1_path).convert('RGB') + img2 = Image.open(img2_path).convert('RGB') + except Exception as e: + # 혹시 파일이 없을 경우를 대비한 더미 (실제론 파일 확인 필요) + print(f"File Load Error: {e}") + img1 = Image.new('RGB', (128, 128)) + img2 = Image.new('RGB', (128, 128)) + + if self.transform: + img1 = self.transform(img1) + img2 = self.transform(img2) + + return img1, img2, issame + +# -------------------------------------------------------- +# 2. Evaluation Function +# -------------------------------------------------------- +def validate_lfw(model, lfw_loader, device): + model.eval() + similarities = [] + actual_issame = [] + + print("🔍 Validating on LFW...") + with torch.no_grad(): + for img1, img2, issame in lfw_loader: + img1, img2 = img1.to(device), img2.to(device) + + # Feature Extraction + feat1 = model(img1) # [B, 128, 1, 1] + feat2 = model(img2) # [B, 128, 1, 1] + + # Flatten + feat1 = feat1.view(feat1.size(0), -1) + feat2 = feat2.view(feat2.size(0), -1) + + # Cosine Similarity Calculation + # 128차원 벡터의 코사인 유사도 (-1 ~ 1) + cos_sim = F.cosine_similarity(feat1, feat2) + + similarities.extend(cos_sim.cpu().numpy()) + actual_issame.extend(issame.numpy()) + + similarities = np.array(similarities) + actual_issame = np.array(actual_issame) + + # ---------------------------------------------------- + # Best Threshold Search (단순화된 버전) + # ---------------------------------------------------- + best_acc = 0.0 + best_th = 0.0 + + # -1.0 부터 1.0 까지 0.01 단위로 Threshold를 이동하며 정확도 측정 + thresholds = np.arange(-1.0, 1.0, 0.01) + + for th in thresholds: + # th보다 크면 True(동일인), 작으면 False(타인) 예측 + predict_issame = np.greater(similarities, th) + + # 정답과 비교 + true_positives = np.sum(np.logical_and(predict_issame, actual_issame)) + true_negatives = np.sum(np.logical_and(np.logical_not(predict_issame), np.logical_not(actual_issame))) + + acc = (true_positives + true_negatives) / len(actual_issame) + + if acc > best_acc: + best_acc = acc + best_th = th + + return best_acc, best_th \ No newline at end of file diff --git a/coco5class_exp/coco5class.yaml b/coco5class_exp/coco5class.yaml new file mode 100644 index 0000000..56fd4c3 --- /dev/null +++ b/coco5class_exp/coco5class.yaml @@ -0,0 +1,9 @@ +# path: /home/cuuva/experiment/datasets/VisDrone # 데이터 경로 +train: /home/cuuva/experiment/datasets/coco5class/images/train +val: /home/cuuva/experiment/datasets/coco5class/images/val +test: /home/cuuva/experiment/datasets/coco5class/images/test + +# nc: 7 +nc: 5 + +names: ['person','car', 'truck', 'bus', 'motor'] diff --git a/coco5class_exp/coco5class_exp.ipynb b/coco5class_exp/coco5class_exp.ipynb new file mode 100644 index 0000000..55fc7ba --- /dev/null +++ b/coco5class_exp/coco5class_exp.ipynb @@ -0,0 +1,342 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "6b410dab", + "metadata": {}, + "outputs": [], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f66929b6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e5e2ab7b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🔍 Checking split: train (files: 117266)\n", + "\n", + "🔍 Checking split: val (files: 4952)\n", + "\n", + "📌 클래스 통계 결과:\n", + " - Class 0: 268029 개\n", + " - Class 1: 45449 개\n", + " - Class 2: 10384 개\n", + " - Class 3: 6344 개\n", + " - Class 4: 9021 개\n", + "\n", + "총 클래스 종류: 5\n" + ] + } + ], + "source": [ + "import os\n", + "from collections import Counter\n", + "\n", + "label_root = \"/home/cuuva/experiment/datasets/coco5class/labels\"\n", + "splits = [\"train\", \"val\"]\n", + "\n", + "class_counter = Counter()\n", + "\n", + "for split in splits:\n", + " split_path = os.path.join(label_root, split)\n", + " \n", + " # 라벨 txt 파일 탐색\n", + " label_files = [f for f in os.listdir(split_path) if f.endswith(\".txt\")]\n", + " \n", + " print(f\"\\n🔍 Checking split: {split} (files: {len(label_files)})\")\n", + "\n", + " for file in label_files:\n", + " file_path = os.path.join(split_path, file)\n", + " with open(file_path, \"r\") as f:\n", + " for line in f.readlines():\n", + " if line.strip(): # 빈 줄 제거\n", + " class_id = line.split()[0] # 첫번째 값 = 클래스\n", + " class_counter[class_id] += 1\n", + "\n", + "# 최종 결과 출력\n", + "print(\"\\n📌 클래스 통계 결과:\")\n", + "for cls, count in sorted(class_counter.items(), key=lambda x: int(x[0])):\n", + " print(f\" - Class {cls}: {count} 개\")\n", + "\n", + "print(f\"\\n총 클래스 종류: {len(class_counter)}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6bb38c03", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.235 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/coco5class_exp/coco5class.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=300, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8m.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=5class, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=40, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=coco5class_v8m, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=5\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 1392 ultralytics.nn.modules.conv.Conv [3, 48, 3, 2] \n", + " 1 -1 1 41664 ultralytics.nn.modules.conv.Conv [48, 96, 3, 2] \n", + " 2 -1 2 111360 ultralytics.nn.modules.block.C2f [96, 96, 2, True] \n", + " 3 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2] \n", + " 4 -1 4 813312 ultralytics.nn.modules.block.C2f [192, 192, 4, True] \n", + " 5 -1 1 664320 ultralytics.nn.modules.conv.Conv [192, 384, 3, 2] \n", + " 6 -1 4 3248640 ultralytics.nn.modules.block.C2f [384, 384, 4, True] \n", + " 7 -1 1 1991808 ultralytics.nn.modules.conv.Conv [384, 576, 3, 2] \n", + " 8 -1 2 3985920 ultralytics.nn.modules.block.C2f [576, 576, 2, True] \n", + " 9 -1 1 831168 ultralytics.nn.modules.block.SPPF [576, 576, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 2 1993728 ultralytics.nn.modules.block.C2f [960, 384, 2] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 2 517632 ultralytics.nn.modules.block.C2f [576, 192, 2] \n", + " 16 -1 1 332160 ultralytics.nn.modules.conv.Conv [192, 192, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 2 1846272 ultralytics.nn.modules.block.C2f [576, 384, 2] \n", + " 19 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 2 4207104 ultralytics.nn.modules.block.C2f [960, 576, 2] \n", + " 22 [15, 18, 21] 1 3778591 ultralytics.nn.modules.head.Detect [5, [192, 384, 576]] \n", + "Model summary: 169 layers, 25,859,215 parameters, 25,859,199 gradients, 79.1 GFLOPs\n", + "\n", + "Transferred 469/475 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 8101.9±2264.5 MB/s, size: 195.4 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/coco5class/labels/train.cache... 117266 images, 48605 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 118287/118287 192.2Mit/s 0.0s\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.33G total, 0.24G reserved, 0.23G allocated, 30.86G free\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cuuva/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n", + " 25859215 79.08 2.261 30.79 146.6 (1, 3, 640, 640) list\n", + " 25859215 158.2 3.569 9.957 33.28 (2, 3, 640, 640) list\n", + " 25859215 316.3 4.731 13.44 46.58 (4, 3, 640, 640) list\n", + " 25859215 632.6 7.785 25.68 70.42 (8, 3, 640, 640) list\n", + " 25859215 1265 10.414 27.14 117.5 (16, 3, 640, 640) list\n", + " 25859215 2531 20.416 55.02 239.2 (32, 3, 640, 640) list\n", + " 25859215 5061 36.937 116.3 435.7 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 29 for CUDA:0 19.03G/31.33G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 6524.6±3206.6 MB/s, size: 190.9 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/coco5class/labels/train.cache... 117266 images, 48605 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 118287/118287 217.1Mit/s 0.0s\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 4736.1±2206.1 MB/s, size: 185.8 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/experiment/datasets/coco5class/labels/val.cache... 4952 images, 2049 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 5000/5000 6.6Mit/s 0.0s0s\n", + "Plotting labels to /home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 77 weight(decay=0.0), 84 weight(decay=0.000453125), 83 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class\u001b[0m\n", + "Starting training for 300 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/300 14.1G 1.156 1.187 1.242 133 640: 100% ━━━━━━━━━━━━ 4079/4079 3.3it/s 20:20<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 8.9it/s 9.8s0.1s\n", + " all 5000 13759 0.471 0.374 0.387 0.237\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/300 14.1G 1.204 1.229 1.282 98 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 20:06<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 8.6it/s 10.1s0.1s\n", + " all 5000 13759 0.615 0.494 0.54 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/300 14.1G 1.172 1.165 1.258 120 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 20:08<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 8.9it/s 9.8s<0.2s\n", + " all 5000 13759 0.644 0.526 0.58 0.395\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/300 14.1G 1.127 1.088 1.231 86 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 20:06<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 9.2it/s 9.4s<0.2s\n", + " all 5000 13759 0.671 0.559 0.616 0.424\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/300 14.1G 1.088 1.025 1.204 107 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 20:01<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 9.3it/s 9.3s<0.1s\n", + " all 5000 13759 0.675 0.58 0.641 0.453\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/300 14.1G 1.057 0.9789 1.185 162 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 20:01<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 9.4it/s 9.3s<0.1s\n", + " all 5000 13759 0.71 0.575 0.656 0.467\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/300 14.1G 1.036 0.9461 1.172 121 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 20:01<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 9.4it/s 9.3s<0.1s\n", + " all 5000 13759 0.725 0.588 0.672 0.48\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/300 14.1G 1.023 0.9197 1.161 105 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 19:60<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 9.4it/s 9.2s0.1ss\n", + " all 5000 13759 0.735 0.587 0.681 0.488\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/300 14.1G 1.009 0.9032 1.15 136 640: 100% ━━━━━━━━━━━━ 4079/4079 3.4it/s 19:60<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 87/87 9.2it/s 9.5s<0.1s\n", + " all 5000 13759 0.719 0.603 0.683 0.493\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/300 14.1G 0.9986 0.8829 1.145 136 640: 82% ━━━━━━━━━╸── 3329/4079 3.4it/s 16:20<3:401" + ] + } + ], + "source": [ + "# Load a pretrained YOLO11n model\n", + "model = YOLO('yolov8m.pt')\n", + "\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/coco5class_exp/coco5class.yaml\", #['person','car', 'truck', 'bus', 'motor']\n", + " epochs=300,\n", + " imgsz=640,\n", + " batch=-1,\n", + " device=\"cuda\",\n", + " optimizer = 'AdamW',\n", + " lr0 = 0.001,\n", + " patience = 40,\n", + " project = 'coco5class_v8m',\n", + " name = '5class',\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "c87a7d82", + "metadata": {}, + "source": [ + "'''\n", + "\n", + "all : 0.559\n", + "\n", + "person : 0.615\n", + "\n", + "car : 0.496\n", + "\n", + "truck : 0.438\n", + "\n", + "bus : 0.739\n", + "\n", + "motor : 0.509\n", + "\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "681c71ed", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 92 layers, 25,842,655 parameters, 0 gradients, 78.7 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/weights/best_coco5class.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 9, 8400) (49.6 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 1.3s, saved as '/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/weights/best_coco5class.onnx' (98.8 MB)\n", + "\n", + "Export complete (1.6s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/weights/best_coco5class.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/weights/best_coco5class.onnx imgsz=640 data=/home/cuuva/experiment/coco5class_exp/coco5class.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/weights/best_coco5class.onnx'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = YOLO(\"/home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class/weights/best_coco5class.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48b48641", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/coco5class_exp/coco5class_v8m/5class/args.yaml b/coco5class_exp/coco5class_v8m/5class/args.yaml new file mode 100644 index 0000000..b672c07 --- /dev/null +++ b/coco5class_exp/coco5class_v8m/5class/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8m.pt +data: /home/cuuva/experiment/coco5class_exp/coco5class.yaml +epochs: 300 +time: null +patience: 40 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: coco5class_v8m +name: 5class +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 0.0 +mosaic: 1.0 +mixup: 0.0 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: /home/cuuva/experiment/coco5class_exp/coco5class_v8m/5class diff --git a/coco5class_exp/coco5class_v8m/5class/results.csv b/coco5class_exp/coco5class_v8m/5class/results.csv new file mode 100644 index 0000000..92c0fbc --- /dev/null +++ b/coco5class_exp/coco5class_v8m/5class/results.csv @@ -0,0 +1,91 @@ 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diff --git a/custom_LP_detect/custom_LP.yaml b/custom_LP_detect/custom_LP.yaml new file mode 100644 index 0000000..1ef3b8f --- /dev/null +++ b/custom_LP_detect/custom_LP.yaml @@ -0,0 +1,33 @@ +# # path: datasets/VisDrone # 데이터 경로 +# train: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/image/license_plate/ +# val: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/image/license_plate/ +# # test: images/test + + +# # path: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/ + +# # train: +# # - image/license_plate/ # 이미지 폴더 +# # val: +# # - ../Validation/image/license_plate/ + +# # 각 이미지에 대응하는 라벨 경로를 직접 지정 +# labels: +# train: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/labels/license_plate/ +# val: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/labels/license_plate/ + +# nc: 1 +# names: ['lp'] + +# custom_LP.yaml + +# 데이터셋 경로 +train: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ +val: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/images/license_plate/ + +# 클래스 수 +nc: 1 + +# 클래스 이름 +names: ['lp'] + diff --git a/custom_LP_detect/easyocr.py b/custom_LP_detect/easyocr.py new file mode 100644 index 0000000..1f9b06c --- /dev/null +++ b/custom_LP_detect/easyocr.py @@ -0,0 +1,38 @@ +import easyocr +import cv2 +from matplotlib import pyplot as plt +import time # ⬅ 추가 + +# 1. EasyOCR Reader 생성 +reader = easyocr.Reader(['ko', 'en'], gpu=False) + +# 2. 이미지 불러오기 +# image_path = '/home/cuuva/다운로드/test/ocr_resized.png' +image_path = '/home/cuuva/experiment/custom_LP_detect/ocr2.png' +image = cv2.imread(image_path) +image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + +# ------------------------ +# 3. OCR 수행 및 시간 측정 +# ------------------------ +start_time = time.time() +results = reader.readtext(image_rgb, detail=1) +end_time = time.time() +print(f"Inference time: {end_time - start_time:.3f} seconds") + +# 4. 결과 출력 및 시각화 +for (bbox, text, prob) in results: + print(f"Detected text: {text}, Confidence: {prob:.2f}") + + # 바운딩 박스 + top_left = tuple(map(int, bbox[0])) + bottom_right = tuple(map(int, bbox[2])) + cv2.rectangle(image_rgb, top_left, bottom_right, (0, 255, 0), 2) + cv2.putText(image_rgb, text, (top_left[0], top_left[1]-10), + cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 2) + +# 5. 시각화 +plt.figure(figsize=(10,6)) +plt.imshow(image_rgb) +plt.axis('off') +plt.show() diff --git a/custom_LP_detect/lp_detect/epo_100_frac_0_1/args.yaml b/custom_LP_detect/lp_detect/epo_100_frac_0_1/args.yaml new file mode 100644 index 0000000..02ac7ee --- /dev/null +++ b/custom_LP_detect/lp_detect/epo_100_frac_0_1/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8n.pt +data: /home/cuuva/experiment/custom_LP_detect/custom_LP.yaml +epochs: 100 +time: null +patience: 30 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: lp_detect +name: epo_100_frac_0_1 +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 0.1 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript 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+87,81811.8,1.02297,0.4501,0.73671,0.86142,0.59267,0.72022,0.42861,1.27827,0.59236,0.78528,0.0005743,0.0005743,0.0005743 +88,82914,1.02263,0.451,0.73627,0.86116,0.59264,0.72057,0.42855,1.28018,0.59284,0.78539,0.00056935,0.00056935,0.00056935 diff --git a/custom_LP_detect/test.ipynb b/custom_LP_detect/test.ipynb new file mode 100644 index 0000000..68b5061 --- /dev/null +++ b/custom_LP_detect/test.ipynb @@ -0,0 +1,10047 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 11, + "id": "d35db2a7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== 이미지는 있지만 JSON 없는 경우 ===\n", + "\n", + "=== JSON은 있지만 이미지 없는 경우 ===\n", + "\n", + "총 이미지: 600\n", + "총 JSON: 600\n", + "매칭된 파일 수: 600\n" + ] + } + ], + "source": [ + "import os\n", + "from glob import glob\n", + "\n", + "# ==============================\n", + "# 설정\n", + "# ==============================\n", + "images_dir = \"/home/cuuva/New_sample/image\"\n", + "json_dir = \"/home/cuuva/New_sample/label\"\n", + "\n", + "# ==============================\n", + "# 이미지 및 JSON 파일 목록\n", + "# ==============================\n", + "image_files = glob(os.path.join(images_dir, \"*.jpg\"))\n", + "image_basenames = set([os.path.splitext(os.path.basename(f))[0] for f in image_files])\n", + "\n", + "json_files = glob(os.path.join(json_dir, \"*.json\"))\n", + "json_basenames = set([os.path.splitext(os.path.basename(f))[0] for f in json_files])\n", + "\n", + "# ==============================\n", + "# 매칭 확인\n", + "# ==============================\n", + "# 이미지는 있지만 JSON 없는 경우\n", + "images_without_json = image_basenames - json_basenames\n", + "\n", + "# JSON은 있지만 이미지 없는 경우\n", + "json_without_images = json_basenames - image_basenames\n", + "\n", + "print(\"=== 이미지는 있지만 JSON 없는 경우 ===\")\n", + "for name in sorted(images_without_json):\n", + " print(name)\n", + "\n", + "print(\"\\n=== JSON은 있지만 이미지 없는 경우 ===\")\n", + "for name in sorted(json_without_images):\n", + " print(name)\n", + "\n", + "print(\"\\n총 이미지:\", len(image_basenames))\n", + "print(\"총 JSON:\", len(json_basenames))\n", + "print(\"매칭된 파일 수:\", len(image_basenames & json_basenames))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5125df9a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "전체 클래스 분포:\n", + "structure: 2161\n", + "vehicle: 288\n", + "tree: 1107\n", + "building: 216\n", + "bridge: 99\n", + "person: 4\n" + ] + } + ], + "source": [ + "import os\n", + "import json\n", + "from glob import glob\n", + "from collections import Counter\n", + "\n", + "# JSON 폴더 경로\n", + "json_dir = \"/home/cuuva/New_sample/label\"\n", + "\n", + "all_labels = []\n", + "\n", + "for json_file in glob(os.path.join(json_dir, \"*.json\")):\n", + " with open(json_file, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + " for ann in data.get(\"annotations\", []):\n", + " if ann.get(\"type\") == \"bbox\":\n", + " label = ann.get(\"label\")\n", + " if label:\n", + " all_labels.append(label)\n", + "\n", + "# 클래스 분포 확인\n", + "class_counter = Counter(all_labels)\n", + "print(\"전체 클래스 분포:\")\n", + "for cls, count in class_counter.items():\n", + " print(f\"{cls}: {count}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "15424c16", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "최종 클래스 매핑: {'person': 0, 'vehicle': 1}\n", + "변환 완료! YOLOv8 라벨 파일은 /home/cuuva/New_sample/YOLOv8_labels 에 저장되었습니다.\n" + ] + } + ], + "source": [ + "from PIL import Image\n", + "\n", + "# ==============================\n", + "# 설정\n", + "# ==============================\n", + "images_dir = \"/home/cuuva/New_sample/image\" # 이미지 경로\n", + "output_labels_dir = \"/home/cuuva/New_sample/YOLOv8_labels\"\n", + "os.makedirs(output_labels_dir, exist_ok=True)\n", + "\n", + "# 사용하고 싶은 클래스만 지정\n", + "selected_classes = [\"person\", \"vehicle\"]\n", + "class_to_id = {cls_name: idx for idx, cls_name in enumerate(selected_classes)}\n", + "print(\"최종 클래스 매핑:\", class_to_id)\n", + "\n", + "# ==============================\n", + "# JSON → YOLOv8 라벨 변환\n", + "# ==============================\n", + "for json_file in glob(os.path.join(json_dir, \"*.json\")):\n", + " with open(json_file, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + "\n", + " img_filename = data.get(\"filename\")\n", + " if not img_filename:\n", + " continue\n", + "\n", + " img_path = os.path.join(images_dir, img_filename)\n", + " if not os.path.exists(img_path):\n", + " print(f\"이미지 없음: {img_path}\")\n", + " continue\n", + "\n", + " # 이미지 크기\n", + " with Image.open(img_path) as img:\n", + " W, H = img.size\n", + "\n", + " label_lines = []\n", + "\n", + " for ann in data.get(\"annotations\", []):\n", + " if ann.get(\"type\") != \"bbox\":\n", + " continue\n", + " label_name = ann.get(\"label\")\n", + " if label_name not in class_to_id:\n", + " continue # 제외된 클래스\n", + " class_id = class_to_id[label_name]\n", + "\n", + " points = ann.get(\"points\", [])\n", + " if len(points) != 4:\n", + " continue\n", + "\n", + " xs = [pt[0] for pt in points]\n", + " ys = [pt[1] for pt in points]\n", + " x_min, x_max = min(xs), max(xs)\n", + " y_min, y_max = min(ys), max(ys)\n", + "\n", + " x_center = (x_min + x_max) / 2 / W\n", + " y_center = (y_min + y_max) / 2 / H\n", + " width = (x_max - x_min) / W\n", + " height = (y_max - y_min) / H\n", + "\n", + " label_lines.append(f\"{class_id} {x_center:.6f} {y_center:.6f} {width:.6f} {height:.6f}\")\n", + "\n", + " if label_lines:\n", + " txt_filename = os.path.splitext(img_filename)[0] + \".txt\"\n", + " txt_path = os.path.join(output_labels_dir, txt_filename)\n", + " with open(txt_path, \"w\", encoding=\"utf-8\") as f:\n", + " f.write(\"\\n\".join(label_lines))\n", + "\n", + "print(\"변환 완료! YOLOv8 라벨 파일은\", output_labels_dir, \"에 저장되었습니다.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "4bd0f509", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "시각화 완료: /home/cuuva/New_sample/visualization/1_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-13-37-36-L-N_0003418.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/2_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-10-56-51-L-N-S21_0003521.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/3_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-08-05-47-L-Y-S23_0001017.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/4_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-09-03-05-L-N_0001472.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/5_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-15-00-16-L-N_0000897.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/6_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-08-05-47-L-Y-S23_0000433.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/7_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-11-05-59-L-Y_0000179.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/8_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-09-20-12-L-N-S20_0000872.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/9_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-08-05-47-L-Y-S23_0002035.jpg\n", + "시각화 완료: /home/cuuva/New_sample/visualization/10_6-FLY-AI05-SUN-5M-15-LAND-Goseong-0116-08-05-47-L-Y-S23_0002110.jpg\n", + "총 10장 시각화 완료! /home/cuuva/New_sample/visualization 확인\n" + ] + } + ], + "source": [ + "import os\n", + "import random\n", + "from glob import glob\n", + "from PIL import Image, ImageDraw\n", + "\n", + "# ==============================\n", + "# 설정\n", + "# ==============================\n", + "images_dir = \"/home/cuuva/New_sample/image/\"\n", + "labels_dir = \"/home/cuuva/New_sample/YOLOv8_labels\"\n", + "output_vis_dir = \"/home/cuuva/New_sample/visualization\"\n", + "num_samples = 10\n", + "thumb_size = (640, 384) # 이미지 크기 조정 (선택 사항)\n", + "\n", + "os.makedirs(output_vis_dir, exist_ok=True)\n", + "\n", + "# 클래스 매핑\n", + "class_to_name = {0: \"person\", 1: \"vehicle\"}\n", + "selected_class_ids = set(class_to_name.keys())\n", + "\n", + "# ==============================\n", + "# 선택 클래스 포함된 이미지 필터링\n", + "# ==============================\n", + "all_images = glob(os.path.join(images_dir, \"*.jpg\"))\n", + "images_with_selected_classes = []\n", + "\n", + "for img_path in all_images:\n", + " img_name = os.path.basename(img_path)\n", + " txt_path = os.path.join(labels_dir, os.path.splitext(img_name)[0] + \".txt\")\n", + " if not os.path.exists(txt_path):\n", + " continue\n", + "\n", + " with open(txt_path, \"r\", encoding=\"utf-8\") as f:\n", + " lines = f.readlines()\n", + "\n", + " if any(int(line.strip().split()[0]) in selected_class_ids for line in lines if line.strip()):\n", + " images_with_selected_classes.append(img_path)\n", + "\n", + "# 샘플링\n", + "if len(images_with_selected_classes) < num_samples:\n", + " num_samples = len(images_with_selected_classes)\n", + "sample_files = random.sample(images_with_selected_classes, num_samples)\n", + "\n", + "# ==============================\n", + "# 이미지 시각화 및 저장\n", + "# ==============================\n", + "for idx, img_path in enumerate(sample_files):\n", + " img_name = os.path.basename(img_path)\n", + " txt_path = os.path.join(labels_dir, os.path.splitext(img_name)[0] + \".txt\")\n", + "\n", + " img = Image.open(img_path).convert(\"RGB\")\n", + " W, H = img.size\n", + " img = img.resize(thumb_size)\n", + " draw = ImageDraw.Draw(img)\n", + "\n", + " # 라벨 그리기\n", + " with open(txt_path, \"r\", encoding=\"utf-8\") as f:\n", + " lines = f.readlines()\n", + "\n", + " for line in lines:\n", + " parts = line.strip().split()\n", + " if len(parts) != 5:\n", + " continue\n", + " class_id = int(parts[0])\n", + " if class_id not in selected_class_ids:\n", + " continue\n", + " x_center, y_center, width, height = map(float, parts[1:])\n", + " x_min = (x_center - width / 2) * thumb_size[0]\n", + " y_min = (y_center - height / 2) * thumb_size[1]\n", + " x_max = (x_center + width / 2) * thumb_size[0]\n", + " y_max = (y_center + height / 2) * thumb_size[1]\n", + " draw.rectangle([x_min, y_min, x_max, y_max], outline=\"red\", width=3)\n", + " draw.text((x_min, y_min-10), class_to_name[class_id], fill=\"red\")\n", + "\n", + " # 파일로 저장\n", + " save_path = os.path.join(output_vis_dir, f\"{idx+1}_{img_name}\")\n", + " img.save(save_path)\n", + " print(f\"시각화 완료: {save_path}\")\n", + "\n", + "print(f\"총 {len(sample_files)}장 시각화 완료! {output_vis_dir} 확인\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cf2f4651", + "metadata": {}, + "outputs": [], + "source": [ + "image = \"/home/cuuva/aihub_car/185.CCTV_기반_차량정보_및_교통정보_계측_데이터/01-1.정식개방데이터/Training/01.원천데이터/TS_차량번호판인식_교차로_[cr01]비산사거리_01번/C-220809_04_CR01_01_N0045.jpg\"\n", + "json = \"/home/cuuva/aihub_car/185.CCTV_기반_차량정보_및_교통정보_계측_데이터/01-1.정식개방데이터/Training/02.라벨링데이터/TL_차량번호판인식_교차로_[cr01]비산사거리_01번/C-220809_04_CR01_01_N0045.json\"" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "805c216d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ 시각화된 이미지 저장 완료: /home/cuuva/aihub_car/visualized_bbox.jpg\n" + ] + } + ], + "source": [ + "import json\n", + "from PIL import Image, ImageDraw\n", + "\n", + "# =========================\n", + "# 경로 설정\n", + "# =========================\n", + "image_path = \"/home/cuuva/aihub_car/185.CCTV_기반_차량정보_및_교통정보_계측_데이터/01-1.정식개방데이터/Training/01.원천데이터/TS_차량번호판인식_교차로_[cr01]비산사거리_01번/C-220809_04_CR01_01_N0045.jpg\"\n", + "json_path = \"/home/cuuva/aihub_car/185.CCTV_기반_차량정보_및_교통정보_계측_데이터/01-1.정식개방데이터/Training/02.라벨링데이터/TL_차량번호판인식_교차로_[cr01]비산사거리_01번/C-220809_04_CR01_01_N0045.json\"\n", + "output_path = \"/home/cuuva/aihub_car/visualized_bbox.jpg\" # 저장될 경로\n", + "\n", + "# =========================\n", + "# JSON 로드\n", + "# =========================\n", + "with open(json_path, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + "\n", + "# 바운딩박스 추출\n", + "annotations = data[\"Learning_Data_Info\"][\"annotations\"]\n", + "bboxes = []\n", + "\n", + "for ann in annotations:\n", + " for lp in ann.get(\"license_plate\", []):\n", + " bbox = lp[\"bbox\"] # [x, y, w, h]\n", + " bboxes.append(bbox)\n", + "\n", + "# =========================\n", + "# 이미지 불러와서 박스 시각화\n", + "# =========================\n", + "img = Image.open(image_path)\n", + "draw = ImageDraw.Draw(img)\n", + "\n", + "for bbox in bboxes:\n", + " x, y, w, h = bbox\n", + " draw.rectangle([x, y, x + w, y + h], outline=\"red\", width=3)\n", + "\n", + "# =========================\n", + "# 저장\n", + "# =========================\n", + "img.save(output_path)\n", + "print(f\"✅ 시각화된 이미지 저장 완료: {output_path}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "5e36df97", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ 시각화된 이미지 저장 완료: /home/cuuva/aihub_car/CCTV_car_or_licenseplate/visualized_bbox_CR12_02_N0725.jpg\n" + ] + } + ], + "source": [ + "import json\n", + "from PIL import Image, ImageDraw, ImageFont\n", + "\n", + "# =========================\n", + "# 경로 설정\n", + "# =========================\n", + "image_path = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/image/license_plate/TS_차량번호판인식_교차로_[cr12]휴양림입구사거리_02번/C-220721_08_CR12_02_N0725.jpg\"\n", + "json_path = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/label/license_plate/TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_02번/C-220721_08_CR12_02_N0725.json\"\n", + "output_path = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/visualized_bbox_CR12_02_N0725.jpg\"\n", + "\n", + "# =========================\n", + "# JSON 로드\n", + "# =========================\n", + "with open(json_path, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + "\n", + "annotations = data[\"Learning_Data_Info\"][\"annotations\"]\n", + "\n", + "# =========================\n", + "# 이미지 불러오기\n", + "# =========================\n", + "img = Image.open(image_path).convert(\"RGB\")\n", + "draw = ImageDraw.Draw(img)\n", + "\n", + "# 폰트 설정 (없는 경우 기본 폰트 사용)\n", + "try:\n", + " font = ImageFont.truetype(\"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\", 20)\n", + "except:\n", + " font = ImageFont.load_default()\n", + "\n", + "# =========================\n", + "# 박스 그리기\n", + "# =========================\n", + "for ann in annotations:\n", + " # 번호판 전체 박스 (빨강)\n", + " for lp in ann.get(\"license_plate\", []):\n", + " x, y, w, h = lp[\"bbox\"]\n", + " draw.rectangle([x, y, x + w, y + h], outline=\"red\", width=3)\n", + " text = lp.get(\"text\", \"\")\n", + " if text:\n", + " draw.text((x, y - 22), text, fill=\"red\", font=font)\n", + "\n", + " # 번호판 글자 박스 (파랑)\n", + " for ch in ann.get(\"license_plate_number\", []):\n", + " x, y, w, h = ch[\"bbox\"]\n", + " draw.rectangle([x, y, x + w, y + h], outline=\"blue\", width=2)\n", + " text = ch.get(\"text\", \"\")\n", + " if text:\n", + " draw.text((x, y - 18), text, fill=\"blue\", font=font)\n", + "\n", + "# =========================\n", + "# 결과 저장\n", + "# =========================\n", + "img.save(output_path)\n", + "print(f\"✅ 시각화된 이미지 저장 완료: {output_path}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "9da329e7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 총 22684개의 JSON 파일 분석 완료\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 8228 \n", + "1 | 6105 \n", + "3 | 5281 \n", + "2 | 4918 \n", + "5 | 4236 \n", + "6 | 3662 \n", + "4 | 3502 \n", + "7 | 2938 \n", + "0 | 2830 \n", + "8 | 2394 \n", + "9 | 2252 \n", + "오 | 544 \n", + "거 | 498 \n", + "도 | 480 \n", + "보 | 472 \n", + "고 | 468 \n", + "바 | 461 \n", + "구 | 383 \n", + "노 | 379 \n", + "조 | 357 \n", + "모 | 347 \n", + "어 | 331 \n", + "러 | 326 \n", + "수 | 320 \n", + "우 | 318 \n", + "너 | 312 \n", + "소 | 306 \n", + "서 | 302 \n", + "부 | 283 \n", + "누 | 280 \n", + "주 | 280 \n", + "저 | 273 \n", + "호 | 245 \n", + "더 | 239 \n", + "다 | 224 \n", + "나 | 221 \n", + "허 | 216 \n", + "두 | 202 \n", + "로 | 181 \n", + "무 | 177 \n", + "버 | 167 \n", + "머 | 166 \n", + "라 | 163 \n", + "가 | 160 \n", + "사 | 98 \n", + "아 | 81 \n", + "자 | 71 \n", + "하 | 56 \n", + "루 | 51 \n", + "마 | 42 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n" + ] + } + ], + "source": [ + "import os\n", + "import json\n", + "from collections import Counter\n", + "\n", + "# ==============================\n", + "# 경로 설정\n", + "# ==============================\n", + "json_dir = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/label/license_plate/TL_차량번호판인식_교차로_[cr01]비산사거리_01번/\"\n", + "\n", + "# ==============================\n", + "# 문자 등장 횟수 세기\n", + "# ==============================\n", + "char_counter = Counter()\n", + "total_files = 0\n", + "\n", + "for filename in os.listdir(json_dir):\n", + " if not filename.endswith(\".json\"):\n", + " continue\n", + "\n", + " json_path = os.path.join(json_dir, filename)\n", + " try:\n", + " with open(json_path, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + " except Exception as e:\n", + " print(f\"⚠️ JSON 읽기 오류: {filename} ({e})\")\n", + " continue\n", + "\n", + " total_files += 1\n", + " annotations = data.get(\"Learning_Data_Info\", {}).get(\"annotations\", [])\n", + "\n", + " for ann in annotations:\n", + " for lp_number in ann.get(\"license_plate_number\", []):\n", + " text = lp_number.get(\"text\")\n", + " if text:\n", + " char_counter[text] += 1\n", + "\n", + "# ==============================\n", + "# 결과 출력\n", + "# ==============================\n", + "print(f\"\\n📊 총 {total_files}개의 JSON 파일 분석 완료\")\n", + "print(\"==========================================\")\n", + "print(\"{:<10} | {:<10}\".format(\"문자\", \"등장 횟수\"))\n", + "print(\"==========================================\")\n", + "\n", + "for char, count in sorted(char_counter.items(), key=lambda x: (-x[1], x[0])):\n", + " print(\"{:<10} | {:<10}\".format(char, count))\n", + "\n", + "print(\"==========================================\")\n", + "print(f\"총 등장한 고유 문자 수: {len(char_counter)}개\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "55c6dd19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_02번 (총 25091 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10781 \n", + "1 | 9186 \n", + "3 | 8137 \n", + "2 | 7262 \n", + "5 | 7154 \n", + "4 | 6106 \n", + "6 | 5650 \n", + "7 | 5220 \n", + "0 | 4218 \n", + "8 | 3997 \n", + "9 | 3496 \n", + "오 | 1198 \n", + "사 | 928 \n", + "도 | 775 \n", + "바 | 771 \n", + "구 | 757 \n", + "거 | 732 \n", + "우 | 660 \n", + "고 | 615 \n", + "수 | 588 \n", + "조 | 569 \n", + "노 | 560 \n", + "소 | 546 \n", + "러 | 530 \n", + "주 | 483 \n", + "보 | 469 \n", + "다 | 456 \n", + "모 | 425 \n", + "누 | 409 \n", + "호 | 404 \n", + "어 | 389 \n", + "너 | 387 \n", + "나 | 369 \n", + "로 | 362 \n", + "라 | 341 \n", + "부 | 334 \n", + "가 | 331 \n", + "더 | 324 \n", + "서 | 314 \n", + "두 | 270 \n", + "허 | 268 \n", + "무 | 239 \n", + "저 | 234 \n", + "아 | 226 \n", + "자 | 180 \n", + "버 | 146 \n", + "하 | 136 \n", + "루 | 134 \n", + "머 | 121 \n", + "마 | 101 \n", + "배 | 5 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr15]신촌경로당앞사거리_01번 (총 2220 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4715 \n", + "1 | 2460 \n", + "3 | 1891 \n", + "8 | 1361 \n", + "2 | 505 \n", + "4 | 505 \n", + "6 | 494 \n", + "5 | 474 \n", + "0 | 358 \n", + "7 | 340 \n", + "9 | 263 \n", + "구 | 34 \n", + "노 | 27 \n", + "도 | 25 \n", + "오 | 23 \n", + "고 | 18 \n", + "거 | 14 \n", + "수 | 12 \n", + "어 | 12 \n", + "보 | 10 \n", + "서 | 10 \n", + "모 | 8 \n", + "소 | 8 \n", + "조 | 7 \n", + "러 | 5 \n", + "가 | 3 \n", + "부 | 3 \n", + "우 | 3 \n", + "누 | 2 \n", + "더 | 2 \n", + "로 | 2 \n", + "하 | 2 \n", + "호 | 2 \n", + "나 | 1 \n", + "너 | 1 \n", + "무 | 1 \n", + "사 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 37개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr08]귀인중학교정문_01번 (총 6164 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4945 \n", + "1 | 2705 \n", + "3 | 1988 \n", + "2 | 1745 \n", + "5 | 1626 \n", + "6 | 1459 \n", + "4 | 1310 \n", + "0 | 1263 \n", + "7 | 1101 \n", + "8 | 1026 \n", + "9 | 977 \n", + "구 | 180 \n", + "거 | 178 \n", + "오 | 163 \n", + "모 | 161 \n", + "도 | 158 \n", + "고 | 147 \n", + "보 | 135 \n", + "노 | 132 \n", + "어 | 130 \n", + "소 | 112 \n", + "수 | 107 \n", + "조 | 91 \n", + "더 | 85 \n", + "너 | 79 \n", + "러 | 78 \n", + "누 | 73 \n", + "호 | 69 \n", + "버 | 64 \n", + "머 | 58 \n", + "우 | 58 \n", + "부 | 49 \n", + "나 | 47 \n", + "주 | 45 \n", + "허 | 44 \n", + "두 | 39 \n", + "서 | 35 \n", + "다 | 33 \n", + "라 | 28 \n", + "가 | 26 \n", + "바 | 26 \n", + "무 | 21 \n", + "저 | 18 \n", + "로 | 14 \n", + "마 | 11 \n", + "하 | 10 \n", + "루 | 7 \n", + "사 | 3 \n", + "자 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_01번 (총 14710 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 9850 \n", + "1 | 7055 \n", + "2 | 6062 \n", + "3 | 5985 \n", + "6 | 5286 \n", + "5 | 4521 \n", + "0 | 4500 \n", + "4 | 4214 \n", + "8 | 4163 \n", + "7 | 3571 \n", + "9 | 2938 \n", + "오 | 716 \n", + "고 | 663 \n", + "도 | 620 \n", + "어 | 615 \n", + "거 | 598 \n", + "구 | 581 \n", + "노 | 573 \n", + "소 | 520 \n", + "보 | 464 \n", + "조 | 453 \n", + "모 | 452 \n", + "수 | 446 \n", + "더 | 443 \n", + "누 | 425 \n", + "러 | 423 \n", + "우 | 418 \n", + "두 | 409 \n", + "주 | 403 \n", + "너 | 364 \n", + "버 | 362 \n", + "자 | 320 \n", + "서 | 270 \n", + "바 | 264 \n", + "라 | 255 \n", + "무 | 240 \n", + "저 | 237 \n", + "나 | 226 \n", + "부 | 219 \n", + "로 | 201 \n", + "가 | 191 \n", + "다 | 184 \n", + "머 | 176 \n", + "호 | 157 \n", + "허 | 66 \n", + "마 | 56 \n", + "아 | 47 \n", + "루 | 35 \n", + "하 | 33 \n", + "사 | 14 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_03번 (총 28310 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 13659 \n", + "3 | 12715 \n", + "5 | 10314 \n", + "2 | 10303 \n", + "x | 8888 \n", + "6 | 8202 \n", + "4 | 7522 \n", + "0 | 6459 \n", + "8 | 5876 \n", + "7 | 5589 \n", + "9 | 5175 \n", + "오 | 1769 \n", + "바 | 1608 \n", + "어 | 1325 \n", + "우 | 1212 \n", + "구 | 1059 \n", + "거 | 1012 \n", + "조 | 1009 \n", + "고 | 998 \n", + "소 | 992 \n", + "러 | 969 \n", + "노 | 946 \n", + "도 | 937 \n", + "수 | 935 \n", + "모 | 840 \n", + "너 | 835 \n", + "누 | 820 \n", + "보 | 803 \n", + "서 | 780 \n", + "더 | 761 \n", + "주 | 723 \n", + "로 | 712 \n", + "저 | 687 \n", + "다 | 680 \n", + "나 | 675 \n", + "라 | 675 \n", + "두 | 669 \n", + "호 | 642 \n", + "버 | 641 \n", + "가 | 568 \n", + "부 | 552 \n", + "무 | 539 \n", + "하 | 452 \n", + "허 | 427 \n", + "루 | 394 \n", + "아 | 386 \n", + "마 | 336 \n", + "머 | 324 \n", + "사 | 133 \n", + "자 | 123 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr05]안양호계시장_01번 (총 6759 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 5502 \n", + "3 | 2765 \n", + "1 | 2684 \n", + "2 | 2068 \n", + "5 | 1954 \n", + "6 | 1704 \n", + "4 | 1552 \n", + "8 | 1354 \n", + "0 | 1332 \n", + "7 | 1142 \n", + "9 | 1119 \n", + "구 | 219 \n", + "오 | 205 \n", + "고 | 171 \n", + "너 | 171 \n", + "모 | 162 \n", + "도 | 161 \n", + "노 | 147 \n", + "조 | 141 \n", + "거 | 138 \n", + "더 | 138 \n", + "어 | 138 \n", + "소 | 116 \n", + "수 | 107 \n", + "누 | 98 \n", + "우 | 90 \n", + "보 | 84 \n", + "러 | 80 \n", + "두 | 69 \n", + "주 | 68 \n", + "호 | 53 \n", + "서 | 51 \n", + "버 | 45 \n", + "저 | 43 \n", + "머 | 42 \n", + "허 | 42 \n", + "다 | 39 \n", + "나 | 38 \n", + "라 | 35 \n", + "부 | 32 \n", + "로 | 27 \n", + "무 | 25 \n", + "가 | 19 \n", + "하 | 10 \n", + "바 | 8 \n", + "마 | 5 \n", + "루 | 3 \n", + "자 | 3 \n", + "아 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr15]판교역사거리_02번 (총 36024 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 13983 \n", + "3 | 12547 \n", + "2 | 11438 \n", + "5 | 9238 \n", + "6 | 8709 \n", + "4 | 7957 \n", + "0 | 6900 \n", + "x | 6526 \n", + "7 | 6279 \n", + "9 | 4426 \n", + "8 | 4195 \n", + "러 | 1409 \n", + "오 | 1383 \n", + "거 | 1313 \n", + "바 | 1286 \n", + "고 | 1271 \n", + "모 | 1267 \n", + "구 | 1218 \n", + "노 | 1123 \n", + "조 | 1113 \n", + "소 | 1057 \n", + "너 | 984 \n", + "주 | 929 \n", + "도 | 915 \n", + "다 | 866 \n", + "나 | 865 \n", + "부 | 859 \n", + "우 | 858 \n", + "더 | 843 \n", + "서 | 842 \n", + "누 | 841 \n", + "어 | 827 \n", + "수 | 816 \n", + "보 | 811 \n", + "라 | 809 \n", + "무 | 788 \n", + "호 | 686 \n", + "가 | 654 \n", + "저 | 604 \n", + "아 | 602 \n", + "로 | 586 \n", + "두 | 499 \n", + "버 | 466 \n", + "허 | 459 \n", + "하 | 370 \n", + "루 | 316 \n", + "사 | 296 \n", + "머 | 293 \n", + "자 | 270 \n", + "마 | 236 \n", + "배 | 8 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_03번 (총 4020 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2910 \n", + "1 | 1544 \n", + "3 | 1303 \n", + "2 | 1168 \n", + "5 | 1111 \n", + "6 | 984 \n", + "4 | 900 \n", + "7 | 750 \n", + "0 | 735 \n", + "8 | 674 \n", + "9 | 642 \n", + "도 | 109 \n", + "구 | 105 \n", + "너 | 103 \n", + "거 | 92 \n", + "오 | 91 \n", + "어 | 90 \n", + "고 | 86 \n", + "수 | 85 \n", + "러 | 84 \n", + "모 | 82 \n", + "소 | 76 \n", + "노 | 74 \n", + "누 | 71 \n", + "서 | 65 \n", + "로 | 62 \n", + "조 | 56 \n", + "주 | 51 \n", + "두 | 48 \n", + "무 | 46 \n", + "버 | 46 \n", + "머 | 43 \n", + "우 | 41 \n", + "바 | 40 \n", + "보 | 38 \n", + "저 | 36 \n", + "더 | 29 \n", + "호 | 23 \n", + "부 | 21 \n", + "나 | 14 \n", + "루 | 13 \n", + "라 | 12 \n", + "허 | 12 \n", + "다 | 10 \n", + "사 | 9 \n", + "가 | 8 \n", + "마 | 5 \n", + "하 | 4 \n", + "아 | 1 \n", + "자 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr14]동안사거리_03번 (총 11639 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 4966 \n", + "7 | 4179 \n", + "3 | 4028 \n", + "2 | 3653 \n", + "0 | 3459 \n", + "x | 3015 \n", + "6 | 2947 \n", + "5 | 2784 \n", + "4 | 2406 \n", + "아 | 2394 \n", + "8 | 1463 \n", + "9 | 1275 \n", + "바 | 570 \n", + "오 | 484 \n", + "구 | 434 \n", + "고 | 411 \n", + "거 | 366 \n", + "모 | 325 \n", + "소 | 302 \n", + "러 | 297 \n", + "노 | 286 \n", + "다 | 278 \n", + "사 | 277 \n", + "수 | 277 \n", + "나 | 275 \n", + "주 | 270 \n", + "도 | 261 \n", + "조 | 259 \n", + "누 | 254 \n", + "우 | 243 \n", + "라 | 231 \n", + "가 | 230 \n", + "호 | 223 \n", + "부 | 208 \n", + "너 | 188 \n", + "자 | 188 \n", + "보 | 178 \n", + "어 | 170 \n", + "저 | 151 \n", + "더 | 147 \n", + "서 | 136 \n", + "로 | 131 \n", + "무 | 129 \n", + "두 | 119 \n", + "하 | 102 \n", + "루 | 95 \n", + "허 | 91 \n", + "마 | 54 \n", + "버 | 41 \n", + "머 | 23 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr17]판교테크노파크공원진입사거리_02번 (총 352 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 353 \n", + "1 | 175 \n", + "3 | 100 \n", + "6 | 92 \n", + "2 | 89 \n", + "7 | 72 \n", + "0 | 69 \n", + "4 | 68 \n", + "5 | 64 \n", + "9 | 47 \n", + "8 | 41 \n", + "노 | 8 \n", + "거 | 7 \n", + "고 | 7 \n", + "누 | 7 \n", + "구 | 5 \n", + "모 | 4 \n", + "너 | 2 \n", + "더 | 2 \n", + "보 | 2 \n", + "수 | 2 \n", + "오 | 2 \n", + "주 | 2 \n", + "호 | 2 \n", + "가 | 1 \n", + "나 | 1 \n", + "러 | 1 \n", + "부 | 1 \n", + "사 | 1 \n", + "서 | 1 \n", + "저 | 1 \n", + "허 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 32개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_02번 (총 28217 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13961 \n", + "1 | 11959 \n", + "3 | 10029 \n", + "2 | 8684 \n", + "5 | 7547 \n", + "6 | 7083 \n", + "4 | 6953 \n", + "7 | 6373 \n", + "0 | 5370 \n", + "8 | 4812 \n", + "9 | 4293 \n", + "바 | 1618 \n", + "오 | 1181 \n", + "거 | 952 \n", + "어 | 834 \n", + "고 | 804 \n", + "노 | 747 \n", + "구 | 724 \n", + "보 | 724 \n", + "부 | 709 \n", + "우 | 705 \n", + "소 | 670 \n", + "수 | 666 \n", + "누 | 647 \n", + "너 | 643 \n", + "서 | 638 \n", + "도 | 633 \n", + "러 | 558 \n", + "조 | 553 \n", + "모 | 518 \n", + "나 | 498 \n", + "주 | 489 \n", + "다 | 471 \n", + "더 | 441 \n", + "저 | 430 \n", + "무 | 413 \n", + "로 | 411 \n", + "호 | 400 \n", + "허 | 395 \n", + "사 | 388 \n", + "두 | 387 \n", + "라 | 348 \n", + "버 | 312 \n", + "가 | 290 \n", + "아 | 238 \n", + "머 | 204 \n", + "루 | 168 \n", + "자 | 144 \n", + "하 | 138 \n", + "마 | 115 \n", + "배 | 4 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr13]농협직판장앞_01번 (총 9529 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 9125 \n", + "3 | 5344 \n", + "1 | 3554 \n", + "5 | 2642 \n", + "2 | 2557 \n", + "6 | 2128 \n", + "7 | 1983 \n", + "4 | 1915 \n", + "8 | 1835 \n", + "0 | 1628 \n", + "9 | 1628 \n", + "도 | 596 \n", + "오 | 278 \n", + "소 | 264 \n", + "고 | 245 \n", + "구 | 223 \n", + "노 | 223 \n", + "조 | 218 \n", + "바 | 210 \n", + "어 | 200 \n", + "수 | 188 \n", + "모 | 183 \n", + "보 | 183 \n", + "거 | 162 \n", + "서 | 144 \n", + "두 | 124 \n", + "주 | 121 \n", + "너 | 116 \n", + "누 | 105 \n", + "우 | 102 \n", + "로 | 98 \n", + "저 | 93 \n", + "버 | 87 \n", + "러 | 83 \n", + "더 | 79 \n", + "호 | 77 \n", + "나 | 74 \n", + "머 | 59 \n", + "다 | 52 \n", + "가 | 45 \n", + "라 | 45 \n", + "무 | 43 \n", + "허 | 40 \n", + "부 | 34 \n", + "사 | 17 \n", + "하 | 17 \n", + "마 | 12 \n", + "자 | 10 \n", + "루 | 6 \n", + "아 | 4 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_01번 (총 22684 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 8228 \n", + "1 | 6105 \n", + "3 | 5281 \n", + "2 | 4918 \n", + "5 | 4236 \n", + "6 | 3662 \n", + "4 | 3502 \n", + "7 | 2938 \n", + "0 | 2830 \n", + "8 | 2394 \n", + "9 | 2252 \n", + "오 | 544 \n", + "거 | 498 \n", + "도 | 480 \n", + "보 | 472 \n", + "고 | 468 \n", + "바 | 461 \n", + "구 | 383 \n", + "노 | 379 \n", + "조 | 357 \n", + "모 | 347 \n", + "어 | 331 \n", + "러 | 326 \n", + "수 | 320 \n", + "우 | 318 \n", + "너 | 312 \n", + "소 | 306 \n", + "서 | 302 \n", + "부 | 283 \n", + "누 | 280 \n", + "주 | 280 \n", + "저 | 273 \n", + "호 | 245 \n", + "더 | 239 \n", + "다 | 224 \n", + "나 | 221 \n", + "허 | 216 \n", + "두 | 202 \n", + "로 | 181 \n", + "무 | 177 \n", + "버 | 167 \n", + "머 | 166 \n", + "라 | 163 \n", + "가 | 160 \n", + "사 | 98 \n", + "아 | 81 \n", + "자 | 71 \n", + "하 | 56 \n", + "루 | 51 \n", + "마 | 42 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_01번 (총 48056 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 31870 \n", + "3 | 29522 \n", + "5 | 25105 \n", + "2 | 23540 \n", + "6 | 17849 \n", + "4 | 17655 \n", + "x | 16856 \n", + "0 | 14951 \n", + "7 | 14147 \n", + "8 | 13880 \n", + "9 | 12300 \n", + "바 | 5765 \n", + "오 | 3650 \n", + "거 | 2938 \n", + "러 | 2684 \n", + "우 | 2617 \n", + "도 | 2402 \n", + "조 | 2377 \n", + "고 | 2374 \n", + "구 | 2302 \n", + "어 | 2284 \n", + "수 | 2253 \n", + "소 | 2165 \n", + "더 | 2068 \n", + "모 | 2049 \n", + "노 | 2007 \n", + "너 | 1987 \n", + "주 | 1967 \n", + "보 | 1847 \n", + "누 | 1833 \n", + "호 | 1757 \n", + "저 | 1750 \n", + "로 | 1711 \n", + "서 | 1705 \n", + "허 | 1676 \n", + "두 | 1648 \n", + "다 | 1585 \n", + "무 | 1408 \n", + "부 | 1323 \n", + "나 | 1306 \n", + "버 | 1262 \n", + "라 | 1242 \n", + "아 | 1204 \n", + "루 | 1101 \n", + "머 | 1087 \n", + "가 | 1015 \n", + "마 | 811 \n", + "하 | 720 \n", + "자 | 714 \n", + "사 | 702 \n", + "배 | 45 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_04번 (총 10977 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4795 \n", + "1 | 4754 \n", + "3 | 4213 \n", + "2 | 3798 \n", + "5 | 3296 \n", + "6 | 2996 \n", + "4 | 2853 \n", + "7 | 2768 \n", + "0 | 2492 \n", + "8 | 2064 \n", + "9 | 1911 \n", + "오 | 578 \n", + "사 | 521 \n", + "거 | 452 \n", + "구 | 355 \n", + "어 | 342 \n", + "바 | 339 \n", + "고 | 335 \n", + "조 | 330 \n", + "우 | 328 \n", + "러 | 327 \n", + "소 | 315 \n", + "노 | 306 \n", + "수 | 306 \n", + "도 | 303 \n", + "너 | 270 \n", + "서 | 261 \n", + "더 | 259 \n", + "주 | 250 \n", + "보 | 243 \n", + "저 | 230 \n", + "모 | 229 \n", + "누 | 220 \n", + "두 | 213 \n", + "부 | 213 \n", + "나 | 192 \n", + "호 | 186 \n", + "다 | 172 \n", + "로 | 171 \n", + "허 | 164 \n", + "아 | 143 \n", + "버 | 135 \n", + "머 | 127 \n", + "무 | 124 \n", + "가 | 118 \n", + "라 | 115 \n", + "루 | 109 \n", + "자 | 75 \n", + "하 | 52 \n", + "마 | 50 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar07]호계사거리수원방향_03번 (총 2473 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2676 \n", + "1 | 1626 \n", + "3 | 1291 \n", + "2 | 1208 \n", + "5 | 1034 \n", + "6 | 952 \n", + "4 | 885 \n", + "8 | 796 \n", + "0 | 762 \n", + "7 | 688 \n", + "9 | 607 \n", + "오 | 113 \n", + "노 | 92 \n", + "보 | 90 \n", + "구 | 88 \n", + "어 | 85 \n", + "도 | 83 \n", + "우 | 81 \n", + "거 | 77 \n", + "고 | 75 \n", + "바 | 74 \n", + "수 | 71 \n", + "소 | 69 \n", + "너 | 66 \n", + "모 | 62 \n", + "조 | 62 \n", + "러 | 58 \n", + "주 | 55 \n", + "더 | 54 \n", + "무 | 54 \n", + "호 | 53 \n", + "로 | 50 \n", + "누 | 49 \n", + "두 | 43 \n", + "서 | 42 \n", + "버 | 40 \n", + "허 | 39 \n", + "나 | 38 \n", + "머 | 33 \n", + "부 | 29 \n", + "사 | 25 \n", + "가 | 24 \n", + "루 | 24 \n", + "저 | 24 \n", + "다 | 21 \n", + "라 | 21 \n", + "마 | 16 \n", + "아 | 8 \n", + "자 | 7 \n", + "하 | 4 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_03번 (총 14762 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 7854 \n", + "1 | 5198 \n", + "2 | 4024 \n", + "3 | 3994 \n", + "5 | 3638 \n", + "6 | 3476 \n", + "4 | 3032 \n", + "8 | 2538 \n", + "0 | 2508 \n", + "9 | 2149 \n", + "7 | 2125 \n", + "오 | 451 \n", + "노 | 442 \n", + "구 | 429 \n", + "도 | 421 \n", + "고 | 392 \n", + "조 | 391 \n", + "모 | 384 \n", + "소 | 384 \n", + "어 | 352 \n", + "보 | 334 \n", + "거 | 321 \n", + "더 | 272 \n", + "우 | 269 \n", + "수 | 263 \n", + "너 | 262 \n", + "주 | 241 \n", + "두 | 232 \n", + "러 | 214 \n", + "누 | 207 \n", + "서 | 204 \n", + "부 | 171 \n", + "무 | 155 \n", + "버 | 150 \n", + "호 | 146 \n", + "라 | 144 \n", + "저 | 133 \n", + "머 | 116 \n", + "로 | 106 \n", + "나 | 104 \n", + "가 | 98 \n", + "바 | 96 \n", + "다 | 71 \n", + "허 | 46 \n", + "마 | 45 \n", + "루 | 24 \n", + "자 | 21 \n", + "하 | 20 \n", + "아 | 8 \n", + "사 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr14]동안사거리_02번 (총 311 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 265 \n", + "1 | 153 \n", + "2 | 107 \n", + "3 | 107 \n", + "6 | 85 \n", + "0 | 75 \n", + "4 | 66 \n", + "5 | 65 \n", + "9 | 51 \n", + "7 | 45 \n", + "8 | 42 \n", + "고 | 13 \n", + "구 | 12 \n", + "모 | 12 \n", + "오 | 12 \n", + "노 | 8 \n", + "도 | 6 \n", + "조 | 6 \n", + "소 | 5 \n", + "로 | 4 \n", + "너 | 3 \n", + "거 | 2 \n", + "러 | 2 \n", + "보 | 2 \n", + "수 | 2 \n", + "주 | 2 \n", + "가 | 1 \n", + "나 | 1 \n", + "다 | 1 \n", + "라 | 1 \n", + "무 | 1 \n", + "호 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 32개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr11]안양제일장로교회_01번 (총 11278 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 18397 \n", + "3 | 12932 \n", + "0 | 7909 \n", + "2 | 5046 \n", + "1 | 4963 \n", + "8 | 3142 \n", + "5 | 3020 \n", + "6 | 2948 \n", + "4 | 2476 \n", + "9 | 2372 \n", + "7 | 2208 \n", + "노 | 858 \n", + "거 | 442 \n", + "오 | 318 \n", + "고 | 301 \n", + "구 | 234 \n", + "소 | 187 \n", + "어 | 180 \n", + "너 | 158 \n", + "모 | 110 \n", + "도 | 109 \n", + "누 | 88 \n", + "러 | 88 \n", + "보 | 84 \n", + "더 | 83 \n", + "조 | 82 \n", + "수 | 76 \n", + "서 | 52 \n", + "주 | 46 \n", + "나 | 45 \n", + "우 | 40 \n", + "부 | 38 \n", + "바 | 36 \n", + "저 | 36 \n", + "버 | 30 \n", + "가 | 29 \n", + "다 | 26 \n", + "호 | 25 \n", + "두 | 23 \n", + "허 | 23 \n", + "머 | 18 \n", + "라 | 17 \n", + "로 | 14 \n", + "무 | 13 \n", + "아 | 5 \n", + "마 | 4 \n", + "사 | 4 \n", + "자 | 4 \n", + "하 | 4 \n", + "루 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar06]호계사거리덕고개방향_02번 (총 11159 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11138 \n", + "1 | 5753 \n", + "3 | 4545 \n", + "2 | 4497 \n", + "5 | 3584 \n", + "6 | 3436 \n", + "4 | 3182 \n", + "8 | 2639 \n", + "0 | 2632 \n", + "7 | 2528 \n", + "9 | 2430 \n", + "오 | 415 \n", + "고 | 329 \n", + "구 | 313 \n", + "도 | 309 \n", + "거 | 291 \n", + "노 | 289 \n", + "소 | 284 \n", + "조 | 276 \n", + "수 | 245 \n", + "보 | 212 \n", + "우 | 212 \n", + "누 | 177 \n", + "너 | 169 \n", + "더 | 158 \n", + "모 | 158 \n", + "어 | 155 \n", + "주 | 154 \n", + "로 | 142 \n", + "러 | 135 \n", + "나 | 134 \n", + "두 | 133 \n", + "서 | 133 \n", + "가 | 123 \n", + "호 | 123 \n", + "라 | 122 \n", + "부 | 103 \n", + "바 | 95 \n", + "다 | 94 \n", + "저 | 88 \n", + "버 | 87 \n", + "무 | 86 \n", + "머 | 59 \n", + "하 | 53 \n", + "허 | 44 \n", + "루 | 31 \n", + "사 | 25 \n", + "아 | 25 \n", + "마 | 17 \n", + "자 | 12 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_01번 (총 20047 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 18939 \n", + "1 | 8836 \n", + "2 | 6512 \n", + "6 | 6313 \n", + "3 | 6216 \n", + "5 | 5237 \n", + "8 | 5054 \n", + "0 | 4943 \n", + "4 | 4767 \n", + "9 | 3902 \n", + "7 | 3772 \n", + "오 | 743 \n", + "구 | 705 \n", + "노 | 573 \n", + "고 | 549 \n", + "도 | 529 \n", + "소 | 465 \n", + "거 | 464 \n", + "모 | 358 \n", + "보 | 354 \n", + "어 | 351 \n", + "조 | 325 \n", + "수 | 317 \n", + "너 | 308 \n", + "누 | 239 \n", + "러 | 237 \n", + "우 | 203 \n", + "더 | 183 \n", + "나 | 169 \n", + "주 | 157 \n", + "서 | 124 \n", + "부 | 113 \n", + "두 | 112 \n", + "바 | 109 \n", + "버 | 103 \n", + "라 | 101 \n", + "다 | 91 \n", + "머 | 64 \n", + "가 | 59 \n", + "호 | 55 \n", + "저 | 42 \n", + "자 | 36 \n", + "아 | 34 \n", + "무 | 32 \n", + "허 | 32 \n", + "로 | 26 \n", + "하 | 16 \n", + "루 | 8 \n", + "사 | 8 \n", + "마 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr06]호계사거리_03번 (총 14025 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 14629 \n", + "1 | 11998 \n", + "3 | 10179 \n", + "2 | 9265 \n", + "5 | 8517 \n", + "6 | 7291 \n", + "4 | 6765 \n", + "0 | 5851 \n", + "8 | 5609 \n", + "7 | 5518 \n", + "9 | 4882 \n", + "오 | 1031 \n", + "바 | 888 \n", + "거 | 876 \n", + "고 | 817 \n", + "구 | 801 \n", + "조 | 785 \n", + "어 | 763 \n", + "수 | 757 \n", + "소 | 756 \n", + "노 | 753 \n", + "도 | 732 \n", + "우 | 707 \n", + "보 | 690 \n", + "너 | 683 \n", + "더 | 633 \n", + "모 | 626 \n", + "러 | 618 \n", + "주 | 611 \n", + "누 | 593 \n", + "서 | 557 \n", + "두 | 524 \n", + "호 | 510 \n", + "로 | 473 \n", + "무 | 429 \n", + "저 | 428 \n", + "버 | 424 \n", + "부 | 411 \n", + "나 | 394 \n", + "허 | 371 \n", + "다 | 362 \n", + "사 | 327 \n", + "라 | 299 \n", + "머 | 276 \n", + "가 | 272 \n", + "루 | 258 \n", + "마 | 152 \n", + "하 | 113 \n", + "자 | 96 \n", + "아 | 75 \n", + "배 | 7 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_01번 (총 25411 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15747 \n", + "1 | 15452 \n", + "3 | 12561 \n", + "5 | 10221 \n", + "2 | 10158 \n", + "4 | 8943 \n", + "6 | 8605 \n", + "0 | 6843 \n", + "7 | 6798 \n", + "8 | 5613 \n", + "9 | 5189 \n", + "오 | 1889 \n", + "바 | 1621 \n", + "거 | 1289 \n", + "어 | 1289 \n", + "부 | 1212 \n", + "고 | 935 \n", + "수 | 928 \n", + "보 | 925 \n", + "서 | 894 \n", + "소 | 880 \n", + "우 | 877 \n", + "구 | 873 \n", + "노 | 862 \n", + "러 | 860 \n", + "누 | 780 \n", + "너 | 762 \n", + "나 | 718 \n", + "모 | 650 \n", + "조 | 634 \n", + "허 | 584 \n", + "다 | 568 \n", + "도 | 556 \n", + "더 | 519 \n", + "주 | 515 \n", + "아 | 469 \n", + "호 | 430 \n", + "사 | 399 \n", + "저 | 361 \n", + "라 | 346 \n", + "무 | 340 \n", + "로 | 337 \n", + "버 | 329 \n", + "가 | 261 \n", + "두 | 234 \n", + "머 | 201 \n", + "자 | 164 \n", + "루 | 154 \n", + "하 | 119 \n", + "마 | 112 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_04번 (총 4378 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 3758 \n", + "1 | 2063 \n", + "3 | 1869 \n", + "2 | 1617 \n", + "5 | 1470 \n", + "6 | 1281 \n", + "4 | 1166 \n", + "0 | 968 \n", + "8 | 915 \n", + "7 | 883 \n", + "9 | 835 \n", + "오 | 182 \n", + "도 | 134 \n", + "고 | 132 \n", + "구 | 131 \n", + "노 | 127 \n", + "거 | 110 \n", + "어 | 100 \n", + "소 | 95 \n", + "수 | 93 \n", + "조 | 92 \n", + "너 | 90 \n", + "우 | 90 \n", + "누 | 84 \n", + "더 | 70 \n", + "서 | 67 \n", + "모 | 66 \n", + "보 | 66 \n", + "주 | 61 \n", + "두 | 60 \n", + "러 | 58 \n", + "나 | 46 \n", + "로 | 43 \n", + "호 | 43 \n", + "저 | 42 \n", + "다 | 41 \n", + "버 | 41 \n", + "무 | 37 \n", + "바 | 34 \n", + "머 | 27 \n", + "부 | 26 \n", + "가 | 23 \n", + "라 | 23 \n", + "허 | 21 \n", + "아 | 16 \n", + "루 | 12 \n", + "마 | 11 \n", + "자 | 10 \n", + "사 | 8 \n", + "하 | 7 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr13]판교기업지원허브전면삼거리_01번 (총 30316 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 14864 \n", + "3 | 11989 \n", + "2 | 10195 \n", + "5 | 9422 \n", + "6 | 8797 \n", + "4 | 7786 \n", + "0 | 6967 \n", + "x | 6751 \n", + "7 | 6567 \n", + "8 | 5395 \n", + "9 | 5109 \n", + "모 | 1632 \n", + "오 | 1475 \n", + "구 | 1370 \n", + "고 | 1349 \n", + "러 | 1303 \n", + "거 | 1282 \n", + "나 | 1196 \n", + "다 | 1081 \n", + "도 | 1024 \n", + "노 | 1015 \n", + "조 | 967 \n", + "부 | 943 \n", + "주 | 935 \n", + "우 | 907 \n", + "너 | 890 \n", + "소 | 855 \n", + "무 | 844 \n", + "호 | 834 \n", + "보 | 833 \n", + "라 | 820 \n", + "수 | 813 \n", + "어 | 786 \n", + "누 | 731 \n", + "더 | 719 \n", + "바 | 674 \n", + "서 | 667 \n", + "가 | 617 \n", + "허 | 561 \n", + "두 | 519 \n", + "저 | 519 \n", + "하 | 442 \n", + "아 | 410 \n", + "로 | 392 \n", + "자 | 390 \n", + "사 | 358 \n", + "버 | 344 \n", + "머 | 242 \n", + "마 | 228 \n", + "루 | 225 \n", + "배 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar04]인덕원사거리동편마을방향_04번 (총 15772 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 20459 \n", + "1 | 15276 \n", + "3 | 12616 \n", + "2 | 11152 \n", + "5 | 10764 \n", + "6 | 8554 \n", + "4 | 8256 \n", + "7 | 7985 \n", + "8 | 7110 \n", + "0 | 7010 \n", + "9 | 6050 \n", + "바 | 1330 \n", + "오 | 1109 \n", + "거 | 989 \n", + "고 | 950 \n", + "아 | 886 \n", + "구 | 882 \n", + "도 | 882 \n", + "노 | 851 \n", + "소 | 847 \n", + "어 | 840 \n", + "수 | 831 \n", + "조 | 813 \n", + "우 | 737 \n", + "모 | 735 \n", + "보 | 733 \n", + "너 | 714 \n", + "누 | 714 \n", + "더 | 694 \n", + "주 | 666 \n", + "러 | 651 \n", + "두 | 634 \n", + "서 | 632 \n", + "호 | 631 \n", + "로 | 582 \n", + "저 | 522 \n", + "무 | 518 \n", + "버 | 508 \n", + "허 | 472 \n", + "부 | 433 \n", + "사 | 355 \n", + "머 | 334 \n", + "나 | 332 \n", + "루 | 309 \n", + "다 | 291 \n", + "라 | 279 \n", + "가 | 229 \n", + "마 | 172 \n", + "자 | 135 \n", + "하 | 109 \n", + "배 | 17 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr18]봇들사거리_02번 (총 35112 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 18506 \n", + "3 | 15030 \n", + "2 | 12415 \n", + "x | 11398 \n", + "5 | 10585 \n", + "6 | 9636 \n", + "4 | 9236 \n", + "0 | 8044 \n", + "7 | 7080 \n", + "9 | 5565 \n", + "8 | 5535 \n", + "모 | 1673 \n", + "오 | 1597 \n", + "러 | 1439 \n", + "거 | 1404 \n", + "고 | 1377 \n", + "나 | 1377 \n", + "구 | 1325 \n", + "바 | 1195 \n", + "다 | 1150 \n", + "노 | 1146 \n", + "도 | 1087 \n", + "부 | 1025 \n", + "조 | 986 \n", + "소 | 957 \n", + "수 | 939 \n", + "우 | 923 \n", + "너 | 909 \n", + "무 | 896 \n", + "라 | 875 \n", + "보 | 872 \n", + "누 | 855 \n", + "주 | 823 \n", + "서 | 822 \n", + "더 | 712 \n", + "어 | 696 \n", + "두 | 606 \n", + "호 | 601 \n", + "허 | 575 \n", + "저 | 547 \n", + "가 | 517 \n", + "로 | 512 \n", + "버 | 390 \n", + "사 | 378 \n", + "아 | 376 \n", + "자 | 371 \n", + "하 | 348 \n", + "루 | 290 \n", + "머 | 255 \n", + "마 | 143 \n", + "배 | 4 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr14]동안사거리_05번 (총 1015 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 771 \n", + "1 | 531 \n", + "3 | 337 \n", + "2 | 334 \n", + "6 | 288 \n", + "5 | 272 \n", + "4 | 269 \n", + "0 | 225 \n", + "7 | 196 \n", + "9 | 127 \n", + "8 | 124 \n", + "오 | 35 \n", + "거 | 28 \n", + "어 | 28 \n", + "구 | 27 \n", + "고 | 26 \n", + "노 | 22 \n", + "도 | 21 \n", + "너 | 17 \n", + "더 | 16 \n", + "수 | 16 \n", + "두 | 15 \n", + "러 | 15 \n", + "소 | 15 \n", + "조 | 15 \n", + "서 | 14 \n", + "주 | 14 \n", + "누 | 13 \n", + "바 | 13 \n", + "저 | 13 \n", + "호 | 13 \n", + "우 | 12 \n", + "모 | 10 \n", + "무 | 10 \n", + "보 | 10 \n", + "다 | 9 \n", + "부 | 9 \n", + "허 | 8 \n", + "나 | 7 \n", + "라 | 7 \n", + "버 | 6 \n", + "로 | 5 \n", + "가 | 3 \n", + "머 | 3 \n", + "아 | 2 \n", + "마 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 46개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_02번 (총 6179 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2226 \n", + "1 | 2206 \n", + "2 | 2056 \n", + "3 | 2001 \n", + "6 | 1608 \n", + "5 | 1510 \n", + "4 | 1324 \n", + "0 | 1157 \n", + "8 | 1113 \n", + "7 | 924 \n", + "9 | 860 \n", + "고 | 233 \n", + "소 | 202 \n", + "오 | 199 \n", + "조 | 196 \n", + "도 | 175 \n", + "거 | 172 \n", + "수 | 162 \n", + "노 | 160 \n", + "무 | 160 \n", + "어 | 159 \n", + "두 | 153 \n", + "더 | 151 \n", + "구 | 148 \n", + "주 | 144 \n", + "저 | 142 \n", + "우 | 140 \n", + "너 | 135 \n", + "러 | 135 \n", + "보 | 135 \n", + "나 | 128 \n", + "서 | 127 \n", + "모 | 125 \n", + "버 | 113 \n", + "부 | 112 \n", + "바 | 109 \n", + "누 | 108 \n", + "머 | 99 \n", + "로 | 95 \n", + "가 | 92 \n", + "라 | 87 \n", + "호 | 80 \n", + "다 | 58 \n", + "루 | 58 \n", + "마 | 44 \n", + "허 | 37 \n", + "하 | 36 \n", + "자 | 17 \n", + "아 | 8 \n", + "배 | 2 \n", + "사 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr14]비산고가교밑_01번 (총 15522 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13416 \n", + "1 | 6553 \n", + "2 | 4245 \n", + "3 | 4035 \n", + "6 | 3878 \n", + "5 | 3587 \n", + "4 | 3271 \n", + "0 | 2873 \n", + "7 | 2817 \n", + "9 | 2256 \n", + "8 | 2005 \n", + "고 | 382 \n", + "노 | 382 \n", + "구 | 380 \n", + "도 | 311 \n", + "오 | 309 \n", + "모 | 266 \n", + "어 | 258 \n", + "거 | 205 \n", + "소 | 183 \n", + "수 | 174 \n", + "보 | 164 \n", + "조 | 161 \n", + "너 | 155 \n", + "누 | 131 \n", + "러 | 122 \n", + "더 | 104 \n", + "서 | 88 \n", + "나 | 70 \n", + "우 | 69 \n", + "머 | 64 \n", + "버 | 64 \n", + "저 | 53 \n", + "무 | 49 \n", + "두 | 47 \n", + "주 | 38 \n", + "라 | 36 \n", + "부 | 36 \n", + "가 | 34 \n", + "다 | 34 \n", + "호 | 33 \n", + "로 | 22 \n", + "허 | 15 \n", + "하 | 9 \n", + "마 | 7 \n", + "사 | 4 \n", + "바 | 2 \n", + "아 | 2 \n", + "자 | 2 \n", + "루 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar08]호계사거리유통단지방향_04번 (총 18257 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 18245 \n", + "1 | 13823 \n", + "3 | 11861 \n", + "2 | 10315 \n", + "5 | 10070 \n", + "6 | 7908 \n", + "4 | 7865 \n", + "0 | 6671 \n", + "7 | 6254 \n", + "8 | 6155 \n", + "9 | 5429 \n", + "바 | 1410 \n", + "오 | 1111 \n", + "어 | 980 \n", + "거 | 933 \n", + "조 | 902 \n", + "노 | 883 \n", + "도 | 867 \n", + "소 | 863 \n", + "구 | 847 \n", + "우 | 810 \n", + "수 | 807 \n", + "고 | 781 \n", + "누 | 708 \n", + "주 | 705 \n", + "두 | 677 \n", + "러 | 659 \n", + "모 | 657 \n", + "보 | 649 \n", + "로 | 648 \n", + "무 | 626 \n", + "더 | 598 \n", + "너 | 593 \n", + "버 | 578 \n", + "서 | 505 \n", + "저 | 461 \n", + "루 | 434 \n", + "머 | 369 \n", + "호 | 359 \n", + "부 | 348 \n", + "허 | 330 \n", + "라 | 319 \n", + "나 | 306 \n", + "다 | 292 \n", + "가 | 249 \n", + "사 | 238 \n", + "마 | 147 \n", + "아 | 114 \n", + "자 | 108 \n", + "하 | 85 \n", + "배 | 24 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_04번 (총 5922 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 7152 \n", + "1 | 3800 \n", + "3 | 3170 \n", + "2 | 2948 \n", + "5 | 2747 \n", + "6 | 2396 \n", + "4 | 2091 \n", + "7 | 1905 \n", + "0 | 1762 \n", + "8 | 1410 \n", + "9 | 1284 \n", + "오 | 366 \n", + "구 | 238 \n", + "도 | 234 \n", + "고 | 227 \n", + "조 | 220 \n", + "소 | 215 \n", + "너 | 185 \n", + "노 | 185 \n", + "수 | 184 \n", + "우 | 175 \n", + "거 | 171 \n", + "보 | 155 \n", + "주 | 146 \n", + "누 | 130 \n", + "더 | 130 \n", + "모 | 126 \n", + "러 | 119 \n", + "아 | 119 \n", + "어 | 119 \n", + "두 | 108 \n", + "저 | 108 \n", + "서 | 100 \n", + "바 | 97 \n", + "로 | 93 \n", + "버 | 85 \n", + "호 | 80 \n", + "라 | 76 \n", + "나 | 61 \n", + "머 | 61 \n", + "가 | 57 \n", + "무 | 55 \n", + "다 | 54 \n", + "허 | 38 \n", + "부 | 29 \n", + "마 | 24 \n", + "루 | 19 \n", + "사 | 18 \n", + "하 | 17 \n", + "자 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_04번 (총 1864 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 626 \n", + "1 | 472 \n", + "3 | 433 \n", + "5 | 393 \n", + "2 | 390 \n", + "4 | 270 \n", + "6 | 270 \n", + "8 | 244 \n", + "7 | 234 \n", + "0 | 200 \n", + "9 | 140 \n", + "바 | 72 \n", + "오 | 37 \n", + "우 | 36 \n", + "조 | 35 \n", + "나 | 34 \n", + "어 | 31 \n", + "소 | 28 \n", + "너 | 25 \n", + "가 | 24 \n", + "거 | 23 \n", + "다 | 23 \n", + "서 | 23 \n", + "고 | 21 \n", + "아 | 20 \n", + "버 | 19 \n", + "부 | 17 \n", + "노 | 16 \n", + "수 | 16 \n", + "구 | 15 \n", + "모 | 15 \n", + "누 | 14 \n", + "라 | 14 \n", + "로 | 14 \n", + "더 | 13 \n", + "도 | 13 \n", + "사 | 13 \n", + "러 | 11 \n", + "주 | 11 \n", + "보 | 9 \n", + "하 | 9 \n", + "머 | 8 \n", + "마 | 7 \n", + "저 | 7 \n", + "호 | 7 \n", + "루 | 6 \n", + "자 | 6 \n", + "무 | 5 \n", + "허 | 5 \n", + "두 | 3 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr12]안양1번가중국집_01번 (총 4304 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 1876 \n", + "1 | 1571 \n", + "3 | 1240 \n", + "2 | 1161 \n", + "5 | 1063 \n", + "8 | 1032 \n", + "4 | 889 \n", + "6 | 851 \n", + "0 | 823 \n", + "9 | 767 \n", + "7 | 601 \n", + "고 | 165 \n", + "노 | 148 \n", + "어 | 144 \n", + "오 | 142 \n", + "모 | 123 \n", + "조 | 110 \n", + "누 | 104 \n", + "우 | 98 \n", + "수 | 96 \n", + "두 | 95 \n", + "구 | 91 \n", + "거 | 88 \n", + "도 | 87 \n", + "보 | 82 \n", + "로 | 79 \n", + "소 | 78 \n", + "무 | 76 \n", + "너 | 69 \n", + "버 | 65 \n", + "주 | 63 \n", + "허 | 63 \n", + "바 | 62 \n", + "더 | 60 \n", + "머 | 57 \n", + "호 | 56 \n", + "러 | 53 \n", + "서 | 43 \n", + "부 | 34 \n", + "저 | 31 \n", + "다 | 26 \n", + "나 | 21 \n", + "라 | 20 \n", + "루 | 16 \n", + "자 | 14 \n", + "가 | 13 \n", + "하 | 13 \n", + "마 | 11 \n", + "사 | 7 \n", + "아 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr01]벌말성당삼거리_01번 (총 5352 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 6966 \n", + "1 | 3682 \n", + "6 | 2280 \n", + "2 | 2106 \n", + "3 | 1915 \n", + "5 | 1858 \n", + "4 | 1543 \n", + "0 | 1502 \n", + "7 | 1293 \n", + "9 | 1056 \n", + "8 | 939 \n", + "구 | 403 \n", + "고 | 382 \n", + "거 | 277 \n", + "나 | 163 \n", + "오 | 144 \n", + "누 | 122 \n", + "로 | 114 \n", + "서 | 88 \n", + "조 | 82 \n", + "보 | 74 \n", + "모 | 73 \n", + "어 | 73 \n", + "도 | 62 \n", + "소 | 59 \n", + "노 | 46 \n", + "수 | 43 \n", + "우 | 43 \n", + "러 | 40 \n", + "너 | 34 \n", + "다 | 31 \n", + "더 | 31 \n", + "가 | 24 \n", + "부 | 23 \n", + "주 | 23 \n", + "무 | 22 \n", + "호 | 22 \n", + "버 | 21 \n", + "허 | 20 \n", + "저 | 19 \n", + "사 | 15 \n", + "아 | 15 \n", + "하 | 15 \n", + "두 | 14 \n", + "자 | 14 \n", + "라 | 13 \n", + "바 | 13 \n", + "마 | 10 \n", + "머 | 6 \n", + "루 | 5 \n", + "배 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_03번 (총 3711 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4047 \n", + "1 | 3191 \n", + "3 | 2820 \n", + "5 | 2322 \n", + "2 | 2232 \n", + "6 | 1803 \n", + "4 | 1798 \n", + "7 | 1590 \n", + "0 | 1477 \n", + "8 | 1334 \n", + "9 | 1173 \n", + "바 | 321 \n", + "오 | 274 \n", + "거 | 231 \n", + "어 | 226 \n", + "노 | 218 \n", + "구 | 214 \n", + "조 | 210 \n", + "고 | 196 \n", + "수 | 194 \n", + "소 | 192 \n", + "도 | 181 \n", + "보 | 175 \n", + "모 | 169 \n", + "누 | 166 \n", + "너 | 165 \n", + "러 | 159 \n", + "우 | 159 \n", + "서 | 143 \n", + "로 | 139 \n", + "주 | 136 \n", + "두 | 120 \n", + "더 | 119 \n", + "무 | 109 \n", + "저 | 108 \n", + "부 | 107 \n", + "버 | 106 \n", + "나 | 83 \n", + "호 | 75 \n", + "머 | 69 \n", + "루 | 62 \n", + "가 | 60 \n", + "허 | 49 \n", + "다 | 48 \n", + "라 | 48 \n", + "사 | 44 \n", + "아 | 33 \n", + "마 | 27 \n", + "하 | 16 \n", + "자 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_02번 (총 25662 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 12066 \n", + "3 | 10208 \n", + "x | 9773 \n", + "2 | 9720 \n", + "5 | 8453 \n", + "6 | 7963 \n", + "4 | 6971 \n", + "0 | 5751 \n", + "8 | 5118 \n", + "7 | 5027 \n", + "9 | 4585 \n", + "오 | 1924 \n", + "어 | 1407 \n", + "우 | 1317 \n", + "거 | 1239 \n", + "서 | 1056 \n", + "수 | 1055 \n", + "소 | 935 \n", + "도 | 917 \n", + "너 | 867 \n", + "조 | 834 \n", + "러 | 813 \n", + "보 | 797 \n", + "부 | 786 \n", + "구 | 769 \n", + "노 | 747 \n", + "누 | 705 \n", + "바 | 687 \n", + "더 | 680 \n", + "주 | 679 \n", + "고 | 645 \n", + "두 | 619 \n", + "나 | 561 \n", + "로 | 525 \n", + "모 | 490 \n", + "라 | 440 \n", + "다 | 439 \n", + "저 | 389 \n", + "아 | 307 \n", + "버 | 272 \n", + "무 | 266 \n", + "가 | 245 \n", + "허 | 232 \n", + "호 | 212 \n", + "루 | 192 \n", + "사 | 127 \n", + "하 | 94 \n", + "머 | 68 \n", + "자 | 64 \n", + "마 | 51 \n", + "배 | 4 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_04번 (총 3599 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2626 \n", + "1 | 1363 \n", + "2 | 1027 \n", + "6 | 965 \n", + "3 | 940 \n", + "5 | 804 \n", + "0 | 752 \n", + "4 | 708 \n", + "7 | 627 \n", + "8 | 595 \n", + "9 | 484 \n", + "오 | 123 \n", + "구 | 116 \n", + "고 | 109 \n", + "도 | 106 \n", + "소 | 97 \n", + "노 | 89 \n", + "거 | 67 \n", + "조 | 62 \n", + "모 | 58 \n", + "어 | 54 \n", + "너 | 52 \n", + "수 | 52 \n", + "보 | 48 \n", + "더 | 44 \n", + "러 | 37 \n", + "누 | 35 \n", + "우 | 35 \n", + "버 | 33 \n", + "자 | 31 \n", + "두 | 26 \n", + "서 | 26 \n", + "나 | 25 \n", + "주 | 25 \n", + "부 | 23 \n", + "저 | 19 \n", + "가 | 18 \n", + "라 | 17 \n", + "무 | 15 \n", + "다 | 14 \n", + "머 | 14 \n", + "바 | 14 \n", + "호 | 13 \n", + "허 | 10 \n", + "로 | 9 \n", + "아 | 8 \n", + "마 | 4 \n", + "사 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 48개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr07]부성카인테리어_01번 (총 1774 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 3488 \n", + "4 | 1336 \n", + "5 | 1245 \n", + "1 | 883 \n", + "2 | 661 \n", + "3 | 565 \n", + "6 | 500 \n", + "7 | 464 \n", + "9 | 328 \n", + "0 | 319 \n", + "8 | 287 \n", + "오 | 87 \n", + "두 | 53 \n", + "보 | 46 \n", + "우 | 45 \n", + "거 | 40 \n", + "도 | 40 \n", + "구 | 39 \n", + "러 | 39 \n", + "노 | 34 \n", + "고 | 28 \n", + "어 | 26 \n", + "소 | 24 \n", + "누 | 23 \n", + "너 | 13 \n", + "모 | 12 \n", + "수 | 10 \n", + "로 | 9 \n", + "나 | 7 \n", + "다 | 7 \n", + "주 | 7 \n", + "허 | 7 \n", + "가 | 6 \n", + "더 | 6 \n", + "부 | 5 \n", + "조 | 5 \n", + "바 | 4 \n", + "라 | 3 \n", + "머 | 3 \n", + "사 | 3 \n", + "서 | 3 \n", + "호 | 3 \n", + "무 | 2 \n", + "자 | 2 \n", + "저 | 2 \n", + "마 | 1 \n", + "버 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 47개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar01]인덕원사거리과천방향_01번 (총 11292 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13419 \n", + "1 | 7402 \n", + "3 | 5044 \n", + "2 | 4325 \n", + "4 | 4251 \n", + "5 | 4223 \n", + "6 | 3653 \n", + "0 | 2770 \n", + "8 | 2668 \n", + "9 | 2174 \n", + "7 | 2077 \n", + "오 | 623 \n", + "구 | 323 \n", + "보 | 279 \n", + "도 | 273 \n", + "소 | 268 \n", + "노 | 265 \n", + "고 | 261 \n", + "조 | 251 \n", + "모 | 211 \n", + "거 | 196 \n", + "너 | 185 \n", + "어 | 179 \n", + "수 | 165 \n", + "우 | 152 \n", + "나 | 151 \n", + "러 | 141 \n", + "호 | 123 \n", + "누 | 121 \n", + "서 | 106 \n", + "다 | 103 \n", + "라 | 103 \n", + "주 | 96 \n", + "더 | 86 \n", + "로 | 80 \n", + "부 | 71 \n", + "저 | 69 \n", + "가 | 67 \n", + "사 | 64 \n", + "두 | 62 \n", + "바 | 61 \n", + "허 | 45 \n", + "무 | 42 \n", + "아 | 36 \n", + "자 | 32 \n", + "하 | 27 \n", + "버 | 17 \n", + "마 | 15 \n", + "머 | 13 \n", + "루 | 10 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar02]인덕원사거리성남방향_02번 (총 1354 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 1958 \n", + "1 | 711 \n", + "2 | 514 \n", + "4 | 351 \n", + "7 | 305 \n", + "6 | 269 \n", + "3 | 245 \n", + "0 | 204 \n", + "8 | 127 \n", + "5 | 122 \n", + "9 | 108 \n", + "고 | 19 \n", + "서 | 17 \n", + "오 | 16 \n", + "어 | 12 \n", + "거 | 11 \n", + "가 | 10 \n", + "아 | 9 \n", + "나 | 8 \n", + "바 | 8 \n", + "부 | 8 \n", + "우 | 6 \n", + "하 | 6 \n", + "허 | 6 \n", + "구 | 5 \n", + "노 | 5 \n", + "누 | 5 \n", + "버 | 5 \n", + "수 | 5 \n", + "소 | 4 \n", + "저 | 4 \n", + "조 | 4 \n", + "너 | 3 \n", + "더 | 2 \n", + "도 | 2 \n", + "라 | 2 \n", + "모 | 2 \n", + "보 | 2 \n", + "사 | 2 \n", + "자 | 2 \n", + "주 | 2 \n", + "호 | 2 \n", + "다 | 1 \n", + "러 | 1 \n", + "루 | 1 \n", + "마 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 46개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr03]엔미디어플랫폼_01번 (총 8437 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 6518 \n", + "1 | 4750 \n", + "4 | 3680 \n", + "3 | 1809 \n", + "2 | 1668 \n", + "6 | 1429 \n", + "8 | 1424 \n", + "5 | 1372 \n", + "9 | 1203 \n", + "7 | 1002 \n", + "0 | 996 \n", + "보 | 433 \n", + "모 | 334 \n", + "오 | 275 \n", + "도 | 190 \n", + "고 | 181 \n", + "구 | 147 \n", + "로 | 144 \n", + "조 | 126 \n", + "소 | 116 \n", + "어 | 116 \n", + "노 | 114 \n", + "다 | 91 \n", + "거 | 75 \n", + "라 | 73 \n", + "수 | 66 \n", + "나 | 61 \n", + "누 | 59 \n", + "주 | 56 \n", + "우 | 47 \n", + "호 | 45 \n", + "가 | 41 \n", + "너 | 36 \n", + "더 | 36 \n", + "서 | 34 \n", + "두 | 33 \n", + "버 | 30 \n", + "러 | 29 \n", + "무 | 23 \n", + "머 | 22 \n", + "부 | 22 \n", + "저 | 22 \n", + "허 | 19 \n", + "하 | 13 \n", + "마 | 9 \n", + "바 | 8 \n", + "아 | 6 \n", + "사 | 5 \n", + "루 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr17]판교테크노파크공원진입사거리_01번 (총 8896 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10037 \n", + "1 | 4334 \n", + "3 | 2512 \n", + "2 | 2500 \n", + "6 | 2379 \n", + "5 | 2245 \n", + "4 | 2145 \n", + "0 | 1999 \n", + "7 | 1892 \n", + "9 | 1343 \n", + "8 | 1187 \n", + "구 | 239 \n", + "고 | 225 \n", + "노 | 188 \n", + "오 | 146 \n", + "모 | 143 \n", + "도 | 124 \n", + "거 | 100 \n", + "소 | 74 \n", + "수 | 63 \n", + "누 | 58 \n", + "조 | 58 \n", + "보 | 56 \n", + "너 | 47 \n", + "어 | 45 \n", + "나 | 33 \n", + "러 | 28 \n", + "서 | 25 \n", + "부 | 21 \n", + "바 | 19 \n", + "사 | 14 \n", + "우 | 14 \n", + "호 | 14 \n", + "가 | 13 \n", + "주 | 13 \n", + "더 | 12 \n", + "두 | 12 \n", + "아 | 12 \n", + "버 | 11 \n", + "허 | 10 \n", + "다 | 9 \n", + "무 | 9 \n", + "저 | 9 \n", + "머 | 8 \n", + "라 | 7 \n", + "자 | 7 \n", + "로 | 4 \n", + "마 | 2 \n", + "하 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_01번 (총 18874 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 31400 \n", + "1 | 15583 \n", + "3 | 10833 \n", + "2 | 9587 \n", + "4 | 8805 \n", + "5 | 8518 \n", + "6 | 7895 \n", + "0 | 5965 \n", + "7 | 5328 \n", + "8 | 4440 \n", + "9 | 4393 \n", + "오 | 932 \n", + "구 | 727 \n", + "도 | 697 \n", + "노 | 625 \n", + "고 | 579 \n", + "소 | 558 \n", + "수 | 510 \n", + "조 | 501 \n", + "거 | 466 \n", + "너 | 392 \n", + "보 | 345 \n", + "모 | 340 \n", + "사 | 269 \n", + "주 | 267 \n", + "우 | 263 \n", + "어 | 242 \n", + "러 | 236 \n", + "더 | 231 \n", + "호 | 229 \n", + "누 | 223 \n", + "두 | 193 \n", + "서 | 187 \n", + "로 | 173 \n", + "저 | 154 \n", + "나 | 93 \n", + "라 | 89 \n", + "버 | 81 \n", + "무 | 79 \n", + "머 | 78 \n", + "부 | 76 \n", + "다 | 61 \n", + "가 | 59 \n", + "바 | 54 \n", + "허 | 51 \n", + "아 | 24 \n", + "자 | 17 \n", + "하 | 16 \n", + "루 | 12 \n", + "마 | 9 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr06]호계사거리_02번 (총 9806 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10331 \n", + "1 | 6887 \n", + "3 | 5342 \n", + "2 | 4918 \n", + "5 | 4727 \n", + "6 | 3681 \n", + "4 | 3463 \n", + "7 | 3280 \n", + "0 | 3125 \n", + "8 | 2899 \n", + "9 | 2614 \n", + "오 | 577 \n", + "바 | 529 \n", + "도 | 474 \n", + "조 | 424 \n", + "구 | 408 \n", + "소 | 399 \n", + "거 | 397 \n", + "고 | 370 \n", + "노 | 367 \n", + "수 | 363 \n", + "우 | 323 \n", + "보 | 322 \n", + "더 | 302 \n", + "모 | 298 \n", + "너 | 291 \n", + "주 | 291 \n", + "어 | 281 \n", + "러 | 265 \n", + "누 | 254 \n", + "로 | 229 \n", + "사 | 224 \n", + "호 | 221 \n", + "두 | 202 \n", + "저 | 198 \n", + "서 | 179 \n", + "나 | 171 \n", + "무 | 154 \n", + "라 | 152 \n", + "버 | 130 \n", + "가 | 120 \n", + "다 | 115 \n", + "허 | 114 \n", + "부 | 111 \n", + "머 | 66 \n", + "하 | 64 \n", + "루 | 63 \n", + "아 | 40 \n", + "자 | 31 \n", + "마 | 25 \n", + "배 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr06]대영교회_01번 (총 11225 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 19699 \n", + "3 | 7477 \n", + "8 | 6139 \n", + "1 | 4179 \n", + "7 | 3957 \n", + "2 | 3223 \n", + "5 | 2951 \n", + "6 | 2618 \n", + "4 | 2536 \n", + "0 | 2198 \n", + "9 | 2119 \n", + "소 | 560 \n", + "오 | 404 \n", + "거 | 378 \n", + "노 | 296 \n", + "구 | 295 \n", + "어 | 279 \n", + "고 | 266 \n", + "도 | 251 \n", + "조 | 249 \n", + "모 | 243 \n", + "너 | 242 \n", + "두 | 222 \n", + "더 | 214 \n", + "보 | 202 \n", + "수 | 194 \n", + "러 | 170 \n", + "누 | 157 \n", + "우 | 149 \n", + "주 | 129 \n", + "서 | 82 \n", + "저 | 82 \n", + "호 | 80 \n", + "나 | 76 \n", + "무 | 72 \n", + "버 | 69 \n", + "머 | 64 \n", + "바 | 60 \n", + "다 | 51 \n", + "라 | 48 \n", + "부 | 46 \n", + "허 | 44 \n", + "로 | 41 \n", + "가 | 35 \n", + "마 | 25 \n", + "하 | 14 \n", + "자 | 9 \n", + "사 | 8 \n", + "아 | 8 \n", + "루 | 7 \n", + "배 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr16]판교테크노중앙사거리_02번 (총 12968 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11218 \n", + "1 | 6473 \n", + "2 | 4376 \n", + "3 | 3711 \n", + "6 | 3333 \n", + "5 | 3312 \n", + "4 | 3163 \n", + "0 | 2665 \n", + "7 | 2148 \n", + "9 | 1788 \n", + "8 | 1659 \n", + "오 | 524 \n", + "구 | 425 \n", + "고 | 399 \n", + "노 | 392 \n", + "도 | 373 \n", + "거 | 286 \n", + "소 | 283 \n", + "조 | 241 \n", + "어 | 201 \n", + "모 | 185 \n", + "보 | 181 \n", + "수 | 163 \n", + "너 | 155 \n", + "러 | 136 \n", + "더 | 108 \n", + "주 | 102 \n", + "누 | 98 \n", + "호 | 92 \n", + "우 | 81 \n", + "서 | 60 \n", + "버 | 57 \n", + "두 | 49 \n", + "라 | 48 \n", + "나 | 43 \n", + "저 | 39 \n", + "가 | 27 \n", + "로 | 25 \n", + "부 | 24 \n", + "허 | 21 \n", + "다 | 20 \n", + "무 | 20 \n", + "머 | 19 \n", + "아 | 18 \n", + "하 | 11 \n", + "바 | 10 \n", + "사 | 6 \n", + "자 | 3 \n", + "마 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr09]LG전자주차장입구_01번 (총 12965 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13978 \n", + "1 | 7994 \n", + "4 | 7076 \n", + "2 | 6055 \n", + "3 | 5719 \n", + "0 | 5410 \n", + "5 | 4884 \n", + "6 | 4283 \n", + "8 | 3454 \n", + "9 | 2515 \n", + "7 | 1959 \n", + "어 | 1418 \n", + "소 | 878 \n", + "구 | 811 \n", + "오 | 760 \n", + "고 | 669 \n", + "노 | 646 \n", + "도 | 556 \n", + "모 | 378 \n", + "버 | 318 \n", + "조 | 300 \n", + "수 | 268 \n", + "누 | 244 \n", + "거 | 206 \n", + "너 | 168 \n", + "더 | 167 \n", + "보 | 164 \n", + "우 | 150 \n", + "두 | 130 \n", + "주 | 120 \n", + "서 | 109 \n", + "호 | 104 \n", + "러 | 91 \n", + "무 | 75 \n", + "가 | 74 \n", + "나 | 67 \n", + "허 | 61 \n", + "머 | 60 \n", + "부 | 60 \n", + "로 | 59 \n", + "라 | 49 \n", + "다 | 47 \n", + "저 | 36 \n", + "바 | 28 \n", + "하 | 20 \n", + "마 | 18 \n", + "자 | 16 \n", + "아 | 15 \n", + "사 | 10 \n", + "루 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar03]인덕원사거리수원방향_03번 (총 12032 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15715 \n", + "1 | 8764 \n", + "3 | 6464 \n", + "2 | 5284 \n", + "4 | 5177 \n", + "5 | 5054 \n", + "6 | 4481 \n", + "0 | 3597 \n", + "7 | 3179 \n", + "8 | 2867 \n", + "9 | 2642 \n", + "오 | 602 \n", + "구 | 460 \n", + "도 | 441 \n", + "보 | 407 \n", + "고 | 395 \n", + "소 | 385 \n", + "노 | 374 \n", + "거 | 343 \n", + "조 | 343 \n", + "수 | 322 \n", + "모 | 304 \n", + "사 | 296 \n", + "너 | 287 \n", + "어 | 285 \n", + "우 | 244 \n", + "누 | 242 \n", + "러 | 224 \n", + "더 | 222 \n", + "주 | 211 \n", + "로 | 204 \n", + "서 | 195 \n", + "두 | 162 \n", + "바 | 152 \n", + "호 | 146 \n", + "나 | 125 \n", + "부 | 108 \n", + "버 | 107 \n", + "무 | 100 \n", + "허 | 98 \n", + "라 | 92 \n", + "저 | 86 \n", + "다 | 70 \n", + "자 | 56 \n", + "가 | 48 \n", + "머 | 36 \n", + "루 | 28 \n", + "아 | 25 \n", + "하 | 23 \n", + "마 | 16 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_03번 (총 16664 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11313 \n", + "1 | 6129 \n", + "2 | 4896 \n", + "3 | 4625 \n", + "6 | 4355 \n", + "5 | 4298 \n", + "8 | 3595 \n", + "4 | 3523 \n", + "0 | 3328 \n", + "9 | 2766 \n", + "7 | 2711 \n", + "오 | 623 \n", + "구 | 564 \n", + "도 | 549 \n", + "노 | 537 \n", + "고 | 472 \n", + "소 | 452 \n", + "조 | 411 \n", + "모 | 410 \n", + "거 | 382 \n", + "보 | 350 \n", + "너 | 305 \n", + "수 | 288 \n", + "우 | 244 \n", + "러 | 225 \n", + "어 | 224 \n", + "주 | 209 \n", + "더 | 178 \n", + "누 | 177 \n", + "두 | 166 \n", + "서 | 147 \n", + "나 | 142 \n", + "부 | 114 \n", + "호 | 97 \n", + "라 | 81 \n", + "바 | 70 \n", + "저 | 70 \n", + "다 | 68 \n", + "버 | 56 \n", + "가 | 54 \n", + "무 | 54 \n", + "로 | 52 \n", + "아 | 36 \n", + "허 | 26 \n", + "머 | 19 \n", + "자 | 18 \n", + "사 | 12 \n", + "하 | 11 \n", + "마 | 8 \n", + "루 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar09]판교동안사거리_01번 (총 15984 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15092 \n", + "1 | 6542 \n", + "3 | 4987 \n", + "2 | 4959 \n", + "6 | 3788 \n", + "4 | 3514 \n", + "0 | 3310 \n", + "7 | 2619 \n", + "5 | 2609 \n", + "9 | 2055 \n", + "8 | 1320 \n", + "구 | 312 \n", + "고 | 283 \n", + "노 | 270 \n", + "모 | 238 \n", + "거 | 226 \n", + "오 | 210 \n", + "누 | 174 \n", + "어 | 173 \n", + "수 | 161 \n", + "소 | 138 \n", + "도 | 128 \n", + "조 | 101 \n", + "너 | 94 \n", + "보 | 91 \n", + "부 | 91 \n", + "더 | 82 \n", + "나 | 67 \n", + "러 | 67 \n", + "서 | 65 \n", + "주 | 53 \n", + "버 | 44 \n", + "무 | 42 \n", + "바 | 40 \n", + "호 | 40 \n", + "라 | 35 \n", + "허 | 34 \n", + "우 | 32 \n", + "가 | 28 \n", + "다 | 25 \n", + "사 | 21 \n", + "두 | 19 \n", + "머 | 19 \n", + "저 | 15 \n", + "아 | 14 \n", + "자 | 9 \n", + "하 | 6 \n", + "마 | 2 \n", + "로 | 1 \n", + "루 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_04번 (총 7586 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 2906 \n", + "2 | 2726 \n", + "3 | 2553 \n", + "6 | 2254 \n", + "5 | 1940 \n", + "4 | 1915 \n", + "x | 1838 \n", + "0 | 1510 \n", + "8 | 1392 \n", + "7 | 1214 \n", + "9 | 1132 \n", + "구 | 319 \n", + "고 | 305 \n", + "거 | 291 \n", + "소 | 291 \n", + "도 | 285 \n", + "두 | 285 \n", + "보 | 282 \n", + "더 | 271 \n", + "모 | 271 \n", + "우 | 257 \n", + "조 | 257 \n", + "수 | 254 \n", + "노 | 249 \n", + "어 | 249 \n", + "오 | 237 \n", + "무 | 227 \n", + "주 | 220 \n", + "누 | 213 \n", + "너 | 210 \n", + "러 | 203 \n", + "로 | 195 \n", + "서 | 185 \n", + "저 | 185 \n", + "버 | 181 \n", + "머 | 163 \n", + "부 | 121 \n", + "나 | 120 \n", + "라 | 116 \n", + "가 | 89 \n", + "다 | 89 \n", + "호 | 75 \n", + "바 | 50 \n", + "마 | 44 \n", + "허 | 37 \n", + "루 | 34 \n", + "하 | 18 \n", + "자 | 13 \n", + "아 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar05]호계사거리서울방향_01번 (총 6289 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 8013 \n", + "1 | 4675 \n", + "3 | 3709 \n", + "2 | 3302 \n", + "5 | 2875 \n", + "6 | 2711 \n", + "4 | 2607 \n", + "0 | 2260 \n", + "8 | 2205 \n", + "7 | 2029 \n", + "9 | 2008 \n", + "오 | 418 \n", + "고 | 280 \n", + "어 | 260 \n", + "노 | 252 \n", + "소 | 252 \n", + "조 | 248 \n", + "구 | 241 \n", + "보 | 239 \n", + "도 | 228 \n", + "거 | 224 \n", + "우 | 220 \n", + "모 | 213 \n", + "누 | 180 \n", + "수 | 177 \n", + "너 | 167 \n", + "호 | 162 \n", + "주 | 154 \n", + "러 | 152 \n", + "서 | 151 \n", + "바 | 132 \n", + "부 | 128 \n", + "사 | 126 \n", + "로 | 120 \n", + "더 | 116 \n", + "버 | 114 \n", + "나 | 105 \n", + "허 | 103 \n", + "두 | 98 \n", + "저 | 94 \n", + "라 | 93 \n", + "가 | 90 \n", + "무 | 83 \n", + "다 | 80 \n", + "머 | 49 \n", + "하 | 45 \n", + "아 | 32 \n", + "루 | 31 \n", + "마 | 23 \n", + "자 | 20 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr04]나이스스크린_01번 (총 10066 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11754 \n", + "1 | 4844 \n", + "5 | 3329 \n", + "3 | 3124 \n", + "2 | 2974 \n", + "4 | 2603 \n", + "7 | 2442 \n", + "6 | 2057 \n", + "0 | 1987 \n", + "8 | 1598 \n", + "9 | 1466 \n", + "너 | 496 \n", + "우 | 375 \n", + "오 | 230 \n", + "거 | 181 \n", + "고 | 174 \n", + "도 | 167 \n", + "저 | 137 \n", + "구 | 134 \n", + "노 | 111 \n", + "소 | 101 \n", + "호 | 87 \n", + "누 | 85 \n", + "어 | 81 \n", + "서 | 80 \n", + "러 | 72 \n", + "조 | 65 \n", + "수 | 58 \n", + "모 | 52 \n", + "보 | 48 \n", + "더 | 46 \n", + "나 | 38 \n", + "허 | 38 \n", + "주 | 37 \n", + "부 | 35 \n", + "가 | 34 \n", + "다 | 34 \n", + "라 | 27 \n", + "두 | 25 \n", + "로 | 22 \n", + "하 | 20 \n", + "버 | 17 \n", + "머 | 15 \n", + "사 | 12 \n", + "아 | 12 \n", + "무 | 11 \n", + "바 | 10 \n", + "마 | 4 \n", + "루 | 3 \n", + "자 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_02번 (총 16229 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15293 \n", + "1 | 8258 \n", + "3 | 6601 \n", + "2 | 6474 \n", + "5 | 5464 \n", + "6 | 4959 \n", + "4 | 4475 \n", + "7 | 3762 \n", + "0 | 3682 \n", + "8 | 3062 \n", + "9 | 2938 \n", + "오 | 605 \n", + "구 | 495 \n", + "고 | 492 \n", + "도 | 479 \n", + "노 | 461 \n", + "수 | 427 \n", + "소 | 425 \n", + "조 | 408 \n", + "모 | 373 \n", + "보 | 334 \n", + "거 | 321 \n", + "주 | 314 \n", + "너 | 298 \n", + "로 | 290 \n", + "누 | 284 \n", + "러 | 283 \n", + "더 | 277 \n", + "우 | 276 \n", + "어 | 263 \n", + "호 | 235 \n", + "서 | 229 \n", + "두 | 219 \n", + "버 | 216 \n", + "저 | 209 \n", + "아 | 201 \n", + "가 | 188 \n", + "나 | 188 \n", + "무 | 175 \n", + "라 | 162 \n", + "바 | 160 \n", + "다 | 159 \n", + "부 | 136 \n", + "머 | 122 \n", + "루 | 91 \n", + "하 | 73 \n", + "허 | 68 \n", + "사 | 61 \n", + "마 | 51 \n", + "자 | 13 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr06]호계사거리_01번 (총 7362 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10665 \n", + "1 | 6330 \n", + "3 | 5086 \n", + "2 | 4929 \n", + "5 | 4221 \n", + "6 | 3729 \n", + "4 | 3497 \n", + "7 | 3051 \n", + "0 | 2914 \n", + "8 | 2716 \n", + "9 | 2445 \n", + "오 | 500 \n", + "구 | 372 \n", + "도 | 356 \n", + "소 | 348 \n", + "거 | 346 \n", + "노 | 340 \n", + "조 | 332 \n", + "고 | 319 \n", + "수 | 318 \n", + "바 | 313 \n", + "너 | 308 \n", + "보 | 277 \n", + "우 | 277 \n", + "더 | 274 \n", + "주 | 273 \n", + "사 | 255 \n", + "어 | 251 \n", + "누 | 235 \n", + "모 | 233 \n", + "서 | 220 \n", + "두 | 210 \n", + "러 | 200 \n", + "저 | 172 \n", + "호 | 169 \n", + "로 | 148 \n", + "버 | 148 \n", + "나 | 147 \n", + "무 | 144 \n", + "부 | 135 \n", + "라 | 133 \n", + "다 | 123 \n", + "가 | 121 \n", + "허 | 114 \n", + "머 | 111 \n", + "루 | 76 \n", + "마 | 48 \n", + "자 | 44 \n", + "하 | 40 \n", + "아 | 34 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr02]안양자동차검사소_01번 (총 6889 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 7717 \n", + "1 | 5251 \n", + "3 | 3831 \n", + "2 | 2320 \n", + "4 | 2234 \n", + "6 | 2219 \n", + "5 | 2195 \n", + "0 | 1868 \n", + "8 | 1529 \n", + "7 | 1456 \n", + "9 | 1415 \n", + "조 | 963 \n", + "오 | 679 \n", + "노 | 593 \n", + "고 | 343 \n", + "더 | 255 \n", + "거 | 246 \n", + "너 | 195 \n", + "구 | 181 \n", + "모 | 166 \n", + "허 | 162 \n", + "도 | 150 \n", + "러 | 140 \n", + "어 | 129 \n", + "소 | 113 \n", + "수 | 98 \n", + "호 | 89 \n", + "보 | 79 \n", + "저 | 48 \n", + "서 | 46 \n", + "주 | 46 \n", + "누 | 44 \n", + "다 | 43 \n", + "우 | 42 \n", + "나 | 40 \n", + "버 | 28 \n", + "무 | 27 \n", + "바 | 24 \n", + "라 | 21 \n", + "부 | 21 \n", + "로 | 19 \n", + "두 | 16 \n", + "가 | 13 \n", + "머 | 11 \n", + "자 | 10 \n", + "루 | 8 \n", + "아 | 8 \n", + "사 | 6 \n", + "하 | 6 \n", + "마 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr10]뚜레쥬르범계역점_01번 (총 36949 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 73066 \n", + "1 | 32142 \n", + "3 | 24843 \n", + "2 | 18619 \n", + "6 | 14491 \n", + "0 | 14400 \n", + "4 | 14146 \n", + "5 | 13286 \n", + "7 | 11554 \n", + "8 | 9844 \n", + "9 | 8484 \n", + "오 | 3786 \n", + "누 | 1485 \n", + "소 | 1436 \n", + "고 | 1223 \n", + "거 | 1197 \n", + "구 | 1107 \n", + "노 | 1095 \n", + "저 | 1008 \n", + "너 | 818 \n", + "도 | 779 \n", + "나 | 429 \n", + "모 | 377 \n", + "조 | 371 \n", + "보 | 343 \n", + "수 | 292 \n", + "어 | 285 \n", + "더 | 274 \n", + "호 | 205 \n", + "주 | 195 \n", + "서 | 171 \n", + "러 | 162 \n", + "우 | 128 \n", + "라 | 126 \n", + "두 | 109 \n", + "다 | 105 \n", + "가 | 58 \n", + "허 | 58 \n", + "부 | 45 \n", + "하 | 35 \n", + "버 | 31 \n", + "로 | 20 \n", + "사 | 20 \n", + "바 | 17 \n", + "무 | 16 \n", + "머 | 15 \n", + "자 | 12 \n", + "아 | 8 \n", + "마 | 6 \n", + "루 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_02번 (총 17526 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 9541 \n", + "1 | 5906 \n", + "2 | 5373 \n", + "3 | 5035 \n", + "5 | 4197 \n", + "6 | 4178 \n", + "4 | 3567 \n", + "0 | 2807 \n", + "8 | 2569 \n", + "7 | 2493 \n", + "9 | 2239 \n", + "오 | 526 \n", + "구 | 490 \n", + "도 | 460 \n", + "노 | 454 \n", + "고 | 430 \n", + "조 | 425 \n", + "소 | 414 \n", + "더 | 384 \n", + "수 | 376 \n", + "우 | 363 \n", + "거 | 361 \n", + "어 | 358 \n", + "보 | 350 \n", + "모 | 343 \n", + "두 | 317 \n", + "주 | 315 \n", + "너 | 295 \n", + "누 | 268 \n", + "러 | 215 \n", + "무 | 187 \n", + "라 | 181 \n", + "서 | 179 \n", + "버 | 159 \n", + "로 | 157 \n", + "호 | 156 \n", + "저 | 153 \n", + "부 | 138 \n", + "나 | 130 \n", + "가 | 122 \n", + "바 | 122 \n", + "머 | 109 \n", + "다 | 98 \n", + "허 | 39 \n", + "마 | 28 \n", + "자 | 22 \n", + "하 | 20 \n", + "루 | 12 \n", + "사 | 7 \n", + "아 | 5 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_03번 (총 19005 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 35351 \n", + "1 | 20393 \n", + "3 | 16253 \n", + "2 | 14427 \n", + "5 | 13141 \n", + "4 | 12241 \n", + "6 | 11222 \n", + "0 | 9188 \n", + "7 | 8908 \n", + "8 | 7953 \n", + "9 | 7096 \n", + "오 | 1488 \n", + "도 | 1160 \n", + "구 | 1139 \n", + "노 | 1111 \n", + "사 | 1095 \n", + "고 | 1004 \n", + "조 | 959 \n", + "거 | 943 \n", + "소 | 943 \n", + "수 | 872 \n", + "보 | 801 \n", + "모 | 761 \n", + "너 | 753 \n", + "바 | 707 \n", + "우 | 685 \n", + "더 | 678 \n", + "러 | 668 \n", + "로 | 646 \n", + "주 | 638 \n", + "누 | 570 \n", + "어 | 504 \n", + "두 | 499 \n", + "서 | 467 \n", + "저 | 464 \n", + "호 | 450 \n", + "무 | 420 \n", + "나 | 394 \n", + "라 | 318 \n", + "다 | 315 \n", + "버 | 242 \n", + "가 | 238 \n", + "루 | 224 \n", + "허 | 177 \n", + "자 | 176 \n", + "부 | 146 \n", + "머 | 139 \n", + "아 | 117 \n", + "하 | 81 \n", + "마 | 60 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n" + ] + } + ], + "source": [ + "import os\n", + "import json\n", + "from collections import Counter\n", + "\n", + "# ==============================\n", + "# 최상위 폴더\n", + "# ==============================\n", + "root_dir = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/label/license_plate/\"\n", + "\n", + "# ==============================\n", + "# 하위 폴더별 문자 통계\n", + "# ==============================\n", + "folder_stats = {}\n", + "\n", + "for folder_name in os.listdir(root_dir):\n", + " folder_path = os.path.join(root_dir, folder_name)\n", + " if not os.path.isdir(folder_path):\n", + " continue\n", + "\n", + " char_counter = Counter()\n", + " total_files = 0\n", + "\n", + " # 폴더 안 JSON 파일 탐색\n", + " for filename in os.listdir(folder_path):\n", + " if not filename.endswith(\".json\"):\n", + " continue\n", + "\n", + " json_path = os.path.join(folder_path, filename)\n", + " try:\n", + " with open(json_path, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + " except Exception as e:\n", + " print(f\"⚠️ JSON 읽기 오류: {filename} ({e})\")\n", + " continue\n", + "\n", + " total_files += 1\n", + " annotations = data.get(\"Learning_Data_Info\", {}).get(\"annotations\", [])\n", + "\n", + " for ann in annotations:\n", + " for lp_number in ann.get(\"license_plate_number\", []):\n", + " text = lp_number.get(\"text\")\n", + " if text:\n", + " char_counter[text] += 1\n", + "\n", + " folder_stats[folder_name] = {\n", + " \"total_files\": total_files,\n", + " \"char_counter\": char_counter\n", + " }\n", + "\n", + "# ==============================\n", + "# 결과 출력\n", + "# ==============================\n", + "for folder_name, stats in folder_stats.items():\n", + " print(f\"\\n📂 폴더: {folder_name} (총 {stats['total_files']} JSON 파일)\")\n", + " print(\"==========================================\")\n", + " print(\"{:<10} | {:<10}\".format(\"문자\", \"등장 횟수\"))\n", + " print(\"==========================================\")\n", + " for char, count in sorted(stats['char_counter'].items(), key=lambda x: (-x[1], x[0])):\n", + " print(\"{:<10} | {:<10}\".format(char, count))\n", + " print(\"==========================================\")\n", + " print(f\"총 등장한 고유 문자 수: {len(stats['char_counter'])}개\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "3c650be2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_01번 (총 22684 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 8228 \n", + "1 | 6105 \n", + "3 | 5281 \n", + "2 | 4918 \n", + "5 | 4236 \n", + "6 | 3662 \n", + "4 | 3502 \n", + "7 | 2938 \n", + "0 | 2830 \n", + "8 | 2394 \n", + "9 | 2252 \n", + "오 | 544 \n", + "거 | 498 \n", + "도 | 480 \n", + "보 | 472 \n", + "고 | 468 \n", + "바 | 461 \n", + "구 | 383 \n", + "노 | 379 \n", + "조 | 357 \n", + "모 | 347 \n", + "어 | 331 \n", + "러 | 326 \n", + "수 | 320 \n", + "우 | 318 \n", + "너 | 312 \n", + "소 | 306 \n", + "서 | 302 \n", + "부 | 283 \n", + "누 | 280 \n", + "주 | 280 \n", + "저 | 273 \n", + "호 | 245 \n", + "더 | 239 \n", + "다 | 224 \n", + "나 | 221 \n", + "허 | 216 \n", + "두 | 202 \n", + "로 | 181 \n", + "무 | 177 \n", + "버 | 167 \n", + "머 | 166 \n", + "라 | 163 \n", + "가 | 160 \n", + "사 | 98 \n", + "아 | 81 \n", + "자 | 71 \n", + "하 | 56 \n", + "루 | 51 \n", + "마 | 42 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_02번 (총 28217 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13961 \n", + "1 | 11959 \n", + "3 | 10029 \n", + "2 | 8684 \n", + "5 | 7547 \n", + "6 | 7083 \n", + "4 | 6953 \n", + "7 | 6373 \n", + "0 | 5370 \n", + "8 | 4812 \n", + "9 | 4293 \n", + "바 | 1618 \n", + "오 | 1181 \n", + "거 | 952 \n", + "어 | 834 \n", + "고 | 804 \n", + "노 | 747 \n", + "구 | 724 \n", + "보 | 724 \n", + "부 | 709 \n", + "우 | 705 \n", + "소 | 670 \n", + "수 | 666 \n", + "누 | 647 \n", + "너 | 643 \n", + "서 | 638 \n", + "도 | 633 \n", + "러 | 558 \n", + "조 | 553 \n", + "모 | 518 \n", + "나 | 498 \n", + "주 | 489 \n", + "다 | 471 \n", + "더 | 441 \n", + "저 | 430 \n", + "무 | 413 \n", + "로 | 411 \n", + "호 | 400 \n", + "허 | 395 \n", + "사 | 388 \n", + "두 | 387 \n", + "라 | 348 \n", + "버 | 312 \n", + "가 | 290 \n", + "아 | 238 \n", + "머 | 204 \n", + "루 | 168 \n", + "자 | 144 \n", + "하 | 138 \n", + "마 | 115 \n", + "배 | 4 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_03번 (총 4020 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2910 \n", + "1 | 1544 \n", + "3 | 1303 \n", + "2 | 1168 \n", + "5 | 1111 \n", + "6 | 984 \n", + "4 | 900 \n", + "7 | 750 \n", + "0 | 735 \n", + "8 | 674 \n", + "9 | 642 \n", + "도 | 109 \n", + "구 | 105 \n", + "너 | 103 \n", + "거 | 92 \n", + "오 | 91 \n", + "어 | 90 \n", + "고 | 86 \n", + "수 | 85 \n", + "러 | 84 \n", + "모 | 82 \n", + "소 | 76 \n", + "노 | 74 \n", + "누 | 71 \n", + "서 | 65 \n", + "로 | 62 \n", + "조 | 56 \n", + "주 | 51 \n", + "두 | 48 \n", + "무 | 46 \n", + "버 | 46 \n", + "머 | 43 \n", + "우 | 41 \n", + "바 | 40 \n", + "보 | 38 \n", + "저 | 36 \n", + "더 | 29 \n", + "호 | 23 \n", + "부 | 21 \n", + "나 | 14 \n", + "루 | 13 \n", + "라 | 12 \n", + "허 | 12 \n", + "다 | 10 \n", + "사 | 9 \n", + "가 | 8 \n", + "마 | 5 \n", + "하 | 4 \n", + "아 | 1 \n", + "자 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr01]비산사거리_04번 (총 1864 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 626 \n", + "1 | 472 \n", + "3 | 433 \n", + "5 | 393 \n", + "2 | 390 \n", + "4 | 270 \n", + "6 | 270 \n", + "8 | 244 \n", + "7 | 234 \n", + "0 | 200 \n", + "9 | 140 \n", + "바 | 72 \n", + "오 | 37 \n", + "우 | 36 \n", + "조 | 35 \n", + "나 | 34 \n", + "어 | 31 \n", + "소 | 28 \n", + "너 | 25 \n", + "가 | 24 \n", + "거 | 23 \n", + "다 | 23 \n", + "서 | 23 \n", + "고 | 21 \n", + "아 | 20 \n", + "버 | 19 \n", + "부 | 17 \n", + "노 | 16 \n", + "수 | 16 \n", + "구 | 15 \n", + "모 | 15 \n", + "누 | 14 \n", + "라 | 14 \n", + "로 | 14 \n", + "더 | 13 \n", + "도 | 13 \n", + "사 | 13 \n", + "러 | 11 \n", + "주 | 11 \n", + "보 | 9 \n", + "하 | 9 \n", + "머 | 8 \n", + "마 | 7 \n", + "저 | 7 \n", + "호 | 7 \n", + "루 | 6 \n", + "자 | 6 \n", + "무 | 5 \n", + "허 | 5 \n", + "두 | 3 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_01번 (총 48056 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 31870 \n", + "3 | 29522 \n", + "5 | 25105 \n", + "2 | 23540 \n", + "6 | 17849 \n", + "4 | 17655 \n", + "x | 16856 \n", + "0 | 14951 \n", + "7 | 14147 \n", + "8 | 13880 \n", + "9 | 12300 \n", + "바 | 5765 \n", + "오 | 3650 \n", + "거 | 2938 \n", + "러 | 2684 \n", + "우 | 2617 \n", + "도 | 2402 \n", + "조 | 2377 \n", + "고 | 2374 \n", + "구 | 2302 \n", + "어 | 2284 \n", + "수 | 2253 \n", + "소 | 2165 \n", + "더 | 2068 \n", + "모 | 2049 \n", + "노 | 2007 \n", + "너 | 1987 \n", + "주 | 1967 \n", + "보 | 1847 \n", + "누 | 1833 \n", + "호 | 1757 \n", + "저 | 1750 \n", + "로 | 1711 \n", + "서 | 1705 \n", + "허 | 1676 \n", + "두 | 1648 \n", + "다 | 1585 \n", + "무 | 1408 \n", + "부 | 1323 \n", + "나 | 1306 \n", + "버 | 1262 \n", + "라 | 1242 \n", + "아 | 1204 \n", + "루 | 1101 \n", + "머 | 1087 \n", + "가 | 1015 \n", + "마 | 811 \n", + "하 | 720 \n", + "자 | 714 \n", + "사 | 702 \n", + "배 | 45 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_02번 (총 25662 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 12066 \n", + "3 | 10208 \n", + "x | 9773 \n", + "2 | 9720 \n", + "5 | 8453 \n", + "6 | 7963 \n", + "4 | 6971 \n", + "0 | 5751 \n", + "8 | 5118 \n", + "7 | 5027 \n", + "9 | 4585 \n", + "오 | 1924 \n", + "어 | 1407 \n", + "우 | 1317 \n", + "거 | 1239 \n", + "서 | 1056 \n", + "수 | 1055 \n", + "소 | 935 \n", + "도 | 917 \n", + "너 | 867 \n", + "조 | 834 \n", + "러 | 813 \n", + "보 | 797 \n", + "부 | 786 \n", + "구 | 769 \n", + "노 | 747 \n", + "누 | 705 \n", + "바 | 687 \n", + "더 | 680 \n", + "주 | 679 \n", + "고 | 645 \n", + "두 | 619 \n", + "나 | 561 \n", + "로 | 525 \n", + "모 | 490 \n", + "라 | 440 \n", + "다 | 439 \n", + "저 | 389 \n", + "아 | 307 \n", + "버 | 272 \n", + "무 | 266 \n", + "가 | 245 \n", + "허 | 232 \n", + "호 | 212 \n", + "루 | 192 \n", + "사 | 127 \n", + "하 | 94 \n", + "머 | 68 \n", + "자 | 64 \n", + "마 | 51 \n", + "배 | 4 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_03번 (총 28310 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 13659 \n", + "3 | 12715 \n", + "5 | 10314 \n", + "2 | 10303 \n", + "x | 8888 \n", + "6 | 8202 \n", + "4 | 7522 \n", + "0 | 6459 \n", + "8 | 5876 \n", + "7 | 5589 \n", + "9 | 5175 \n", + "오 | 1769 \n", + "바 | 1608 \n", + "어 | 1325 \n", + "우 | 1212 \n", + "구 | 1059 \n", + "거 | 1012 \n", + "조 | 1009 \n", + "고 | 998 \n", + "소 | 992 \n", + "러 | 969 \n", + "노 | 946 \n", + "도 | 937 \n", + "수 | 935 \n", + "모 | 840 \n", + "너 | 835 \n", + "누 | 820 \n", + "보 | 803 \n", + "서 | 780 \n", + "더 | 761 \n", + "주 | 723 \n", + "로 | 712 \n", + "저 | 687 \n", + "다 | 680 \n", + "나 | 675 \n", + "라 | 675 \n", + "두 | 669 \n", + "호 | 642 \n", + "버 | 641 \n", + "가 | 568 \n", + "부 | 552 \n", + "무 | 539 \n", + "하 | 452 \n", + "허 | 427 \n", + "루 | 394 \n", + "아 | 386 \n", + "마 | 336 \n", + "머 | 324 \n", + "사 | 133 \n", + "자 | 123 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr02]안양시청사거리_04번 (총 4378 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 3758 \n", + "1 | 2063 \n", + "3 | 1869 \n", + "2 | 1617 \n", + "5 | 1470 \n", + "6 | 1281 \n", + "4 | 1166 \n", + "0 | 968 \n", + "8 | 915 \n", + "7 | 883 \n", + "9 | 835 \n", + "오 | 182 \n", + "도 | 134 \n", + "고 | 132 \n", + "구 | 131 \n", + "노 | 127 \n", + "거 | 110 \n", + "어 | 100 \n", + "소 | 95 \n", + "수 | 93 \n", + "조 | 92 \n", + "너 | 90 \n", + "우 | 90 \n", + "누 | 84 \n", + "더 | 70 \n", + "서 | 67 \n", + "모 | 66 \n", + "보 | 66 \n", + "주 | 61 \n", + "두 | 60 \n", + "러 | 58 \n", + "나 | 46 \n", + "로 | 43 \n", + "호 | 43 \n", + "저 | 42 \n", + "다 | 41 \n", + "버 | 41 \n", + "무 | 37 \n", + "바 | 34 \n", + "머 | 27 \n", + "부 | 26 \n", + "가 | 23 \n", + "라 | 23 \n", + "허 | 21 \n", + "아 | 16 \n", + "루 | 12 \n", + "마 | 11 \n", + "자 | 10 \n", + "사 | 8 \n", + "하 | 7 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_01번 (총 25411 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15747 \n", + "1 | 15452 \n", + "3 | 12561 \n", + "5 | 10221 \n", + "2 | 10158 \n", + "4 | 8943 \n", + "6 | 8605 \n", + "0 | 6843 \n", + "7 | 6798 \n", + "8 | 5613 \n", + "9 | 5189 \n", + "오 | 1889 \n", + "바 | 1621 \n", + "거 | 1289 \n", + "어 | 1289 \n", + "부 | 1212 \n", + "고 | 935 \n", + "수 | 928 \n", + "보 | 925 \n", + "서 | 894 \n", + "소 | 880 \n", + "우 | 877 \n", + "구 | 873 \n", + "노 | 862 \n", + "러 | 860 \n", + "누 | 780 \n", + "너 | 762 \n", + "나 | 718 \n", + "모 | 650 \n", + "조 | 634 \n", + "허 | 584 \n", + "다 | 568 \n", + "도 | 556 \n", + "더 | 519 \n", + "주 | 515 \n", + "아 | 469 \n", + "호 | 430 \n", + "사 | 399 \n", + "저 | 361 \n", + "라 | 346 \n", + "무 | 340 \n", + "로 | 337 \n", + "버 | 329 \n", + "가 | 261 \n", + "두 | 234 \n", + "머 | 201 \n", + "자 | 164 \n", + "루 | 154 \n", + "하 | 119 \n", + "마 | 112 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_02번 (총 25091 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10781 \n", + "1 | 9186 \n", + "3 | 8137 \n", + "2 | 7262 \n", + "5 | 7154 \n", + "4 | 6106 \n", + "6 | 5650 \n", + "7 | 5220 \n", + "0 | 4218 \n", + "8 | 3997 \n", + "9 | 3496 \n", + "오 | 1198 \n", + "사 | 928 \n", + "도 | 775 \n", + "바 | 771 \n", + "구 | 757 \n", + "거 | 732 \n", + "우 | 660 \n", + "고 | 615 \n", + "수 | 588 \n", + "조 | 569 \n", + "노 | 560 \n", + "소 | 546 \n", + "러 | 530 \n", + "주 | 483 \n", + "보 | 469 \n", + "다 | 456 \n", + "모 | 425 \n", + "누 | 409 \n", + "호 | 404 \n", + "어 | 389 \n", + "너 | 387 \n", + "나 | 369 \n", + "로 | 362 \n", + "라 | 341 \n", + "부 | 334 \n", + "가 | 331 \n", + "더 | 324 \n", + "서 | 314 \n", + "두 | 270 \n", + "허 | 268 \n", + "무 | 239 \n", + "저 | 234 \n", + "아 | 226 \n", + "자 | 180 \n", + "버 | 146 \n", + "하 | 136 \n", + "루 | 134 \n", + "머 | 121 \n", + "마 | 101 \n", + "배 | 5 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_03번 (총 3711 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4047 \n", + "1 | 3191 \n", + "3 | 2820 \n", + "5 | 2322 \n", + "2 | 2232 \n", + "6 | 1803 \n", + "4 | 1798 \n", + "7 | 1590 \n", + "0 | 1477 \n", + "8 | 1334 \n", + "9 | 1173 \n", + "바 | 321 \n", + "오 | 274 \n", + "거 | 231 \n", + "어 | 226 \n", + "노 | 218 \n", + "구 | 214 \n", + "조 | 210 \n", + "고 | 196 \n", + "수 | 194 \n", + "소 | 192 \n", + "도 | 181 \n", + "보 | 175 \n", + "모 | 169 \n", + "누 | 166 \n", + "너 | 165 \n", + "러 | 159 \n", + "우 | 159 \n", + "서 | 143 \n", + "로 | 139 \n", + "주 | 136 \n", + "두 | 120 \n", + "더 | 119 \n", + "무 | 109 \n", + "저 | 108 \n", + "부 | 107 \n", + "버 | 106 \n", + "나 | 83 \n", + "호 | 75 \n", + "머 | 69 \n", + "루 | 62 \n", + "가 | 60 \n", + "허 | 49 \n", + "다 | 48 \n", + "라 | 48 \n", + "사 | 44 \n", + "아 | 33 \n", + "마 | 27 \n", + "하 | 16 \n", + "자 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr03]범계사거리_04번 (총 10977 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4795 \n", + "1 | 4754 \n", + "3 | 4213 \n", + "2 | 3798 \n", + "5 | 3296 \n", + "6 | 2996 \n", + "4 | 2853 \n", + "7 | 2768 \n", + "0 | 2492 \n", + "8 | 2064 \n", + "9 | 1911 \n", + "오 | 578 \n", + "사 | 521 \n", + "거 | 452 \n", + "구 | 355 \n", + "어 | 342 \n", + "바 | 339 \n", + "고 | 335 \n", + "조 | 330 \n", + "우 | 328 \n", + "러 | 327 \n", + "소 | 315 \n", + "노 | 306 \n", + "수 | 306 \n", + "도 | 303 \n", + "너 | 270 \n", + "서 | 261 \n", + "더 | 259 \n", + "주 | 250 \n", + "보 | 243 \n", + "저 | 230 \n", + "모 | 229 \n", + "누 | 220 \n", + "두 | 213 \n", + "부 | 213 \n", + "나 | 192 \n", + "호 | 186 \n", + "다 | 172 \n", + "로 | 171 \n", + "허 | 164 \n", + "아 | 143 \n", + "버 | 135 \n", + "머 | 127 \n", + "무 | 124 \n", + "가 | 118 \n", + "라 | 115 \n", + "루 | 109 \n", + "자 | 75 \n", + "하 | 52 \n", + "마 | 50 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_01번 (총 18874 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 31400 \n", + "1 | 15583 \n", + "3 | 10833 \n", + "2 | 9587 \n", + "4 | 8805 \n", + "5 | 8518 \n", + "6 | 7895 \n", + "0 | 5965 \n", + "7 | 5328 \n", + "8 | 4440 \n", + "9 | 4393 \n", + "오 | 932 \n", + "구 | 727 \n", + "도 | 697 \n", + "노 | 625 \n", + "고 | 579 \n", + "소 | 558 \n", + "수 | 510 \n", + "조 | 501 \n", + "거 | 466 \n", + "너 | 392 \n", + "보 | 345 \n", + "모 | 340 \n", + "사 | 269 \n", + "주 | 267 \n", + "우 | 263 \n", + "어 | 242 \n", + "러 | 236 \n", + "더 | 231 \n", + "호 | 229 \n", + "누 | 223 \n", + "두 | 193 \n", + "서 | 187 \n", + "로 | 173 \n", + "저 | 154 \n", + "나 | 93 \n", + "라 | 89 \n", + "버 | 81 \n", + "무 | 79 \n", + "머 | 78 \n", + "부 | 76 \n", + "다 | 61 \n", + "가 | 59 \n", + "바 | 54 \n", + "허 | 51 \n", + "아 | 24 \n", + "자 | 17 \n", + "하 | 16 \n", + "루 | 12 \n", + "마 | 9 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_02번 (총 16229 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15293 \n", + "1 | 8258 \n", + "3 | 6601 \n", + "2 | 6474 \n", + "5 | 5464 \n", + "6 | 4959 \n", + "4 | 4475 \n", + "7 | 3762 \n", + "0 | 3682 \n", + "8 | 3062 \n", + "9 | 2938 \n", + "오 | 605 \n", + "구 | 495 \n", + "고 | 492 \n", + "도 | 479 \n", + "노 | 461 \n", + "수 | 427 \n", + "소 | 425 \n", + "조 | 408 \n", + "모 | 373 \n", + "보 | 334 \n", + "거 | 321 \n", + "주 | 314 \n", + "너 | 298 \n", + "로 | 290 \n", + "누 | 284 \n", + "러 | 283 \n", + "더 | 277 \n", + "우 | 276 \n", + "어 | 263 \n", + "호 | 235 \n", + "서 | 229 \n", + "두 | 219 \n", + "버 | 216 \n", + "저 | 209 \n", + "아 | 201 \n", + "가 | 188 \n", + "나 | 188 \n", + "무 | 175 \n", + "라 | 162 \n", + "바 | 160 \n", + "다 | 159 \n", + "부 | 136 \n", + "머 | 122 \n", + "루 | 91 \n", + "하 | 73 \n", + "허 | 68 \n", + "사 | 61 \n", + "마 | 51 \n", + "자 | 13 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_03번 (총 19005 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 35351 \n", + "1 | 20393 \n", + "3 | 16253 \n", + "2 | 14427 \n", + "5 | 13141 \n", + "4 | 12241 \n", + "6 | 11222 \n", + "0 | 9188 \n", + "7 | 8908 \n", + "8 | 7953 \n", + "9 | 7096 \n", + "오 | 1488 \n", + "도 | 1160 \n", + "구 | 1139 \n", + "노 | 1111 \n", + "사 | 1095 \n", + "고 | 1004 \n", + "조 | 959 \n", + "거 | 943 \n", + "소 | 943 \n", + "수 | 872 \n", + "보 | 801 \n", + "모 | 761 \n", + "너 | 753 \n", + "바 | 707 \n", + "우 | 685 \n", + "더 | 678 \n", + "러 | 668 \n", + "로 | 646 \n", + "주 | 638 \n", + "누 | 570 \n", + "어 | 504 \n", + "두 | 499 \n", + "서 | 467 \n", + "저 | 464 \n", + "호 | 450 \n", + "무 | 420 \n", + "나 | 394 \n", + "라 | 318 \n", + "다 | 315 \n", + "버 | 242 \n", + "가 | 238 \n", + "루 | 224 \n", + "허 | 177 \n", + "자 | 176 \n", + "부 | 146 \n", + "머 | 139 \n", + "아 | 117 \n", + "하 | 81 \n", + "마 | 60 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr05]인덕원사거리_04번 (총 5922 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 7152 \n", + "1 | 3800 \n", + "3 | 3170 \n", + "2 | 2948 \n", + "5 | 2747 \n", + "6 | 2396 \n", + "4 | 2091 \n", + "7 | 1905 \n", + "0 | 1762 \n", + "8 | 1410 \n", + "9 | 1284 \n", + "오 | 366 \n", + "구 | 238 \n", + "도 | 234 \n", + "고 | 227 \n", + "조 | 220 \n", + "소 | 215 \n", + "너 | 185 \n", + "노 | 185 \n", + "수 | 184 \n", + "우 | 175 \n", + "거 | 171 \n", + "보 | 155 \n", + "주 | 146 \n", + "누 | 130 \n", + "더 | 130 \n", + "모 | 126 \n", + "러 | 119 \n", + "아 | 119 \n", + "어 | 119 \n", + "두 | 108 \n", + "저 | 108 \n", + "서 | 100 \n", + "바 | 97 \n", + "로 | 93 \n", + "버 | 85 \n", + "호 | 80 \n", + "라 | 76 \n", + "나 | 61 \n", + "머 | 61 \n", + "가 | 57 \n", + "무 | 55 \n", + "다 | 54 \n", + "허 | 38 \n", + "부 | 29 \n", + "마 | 24 \n", + "루 | 19 \n", + "사 | 18 \n", + "하 | 17 \n", + "자 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr06]호계사거리_01번 (총 7362 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10665 \n", + "1 | 6330 \n", + "3 | 5086 \n", + "2 | 4929 \n", + "5 | 4221 \n", + "6 | 3729 \n", + "4 | 3497 \n", + "7 | 3051 \n", + "0 | 2914 \n", + "8 | 2716 \n", + "9 | 2445 \n", + "오 | 500 \n", + "구 | 372 \n", + "도 | 356 \n", + "소 | 348 \n", + "거 | 346 \n", + "노 | 340 \n", + "조 | 332 \n", + "고 | 319 \n", + "수 | 318 \n", + "바 | 313 \n", + "너 | 308 \n", + "보 | 277 \n", + "우 | 277 \n", + "더 | 274 \n", + "주 | 273 \n", + "사 | 255 \n", + "어 | 251 \n", + "누 | 235 \n", + "모 | 233 \n", + "서 | 220 \n", + "두 | 210 \n", + "러 | 200 \n", + "저 | 172 \n", + "호 | 169 \n", + "로 | 148 \n", + "버 | 148 \n", + "나 | 147 \n", + "무 | 144 \n", + "부 | 135 \n", + "라 | 133 \n", + "다 | 123 \n", + "가 | 121 \n", + "허 | 114 \n", + "머 | 111 \n", + "루 | 76 \n", + "마 | 48 \n", + "자 | 44 \n", + "하 | 40 \n", + "아 | 34 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr06]호계사거리_02번 (총 9806 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10331 \n", + "1 | 6887 \n", + "3 | 5342 \n", + "2 | 4918 \n", + "5 | 4727 \n", + "6 | 3681 \n", + "4 | 3463 \n", + "7 | 3280 \n", + "0 | 3125 \n", + "8 | 2899 \n", + "9 | 2614 \n", + "오 | 577 \n", + "바 | 529 \n", + "도 | 474 \n", + "조 | 424 \n", + "구 | 408 \n", + "소 | 399 \n", + "거 | 397 \n", + "고 | 370 \n", + "노 | 367 \n", + "수 | 363 \n", + "우 | 323 \n", + "보 | 322 \n", + "더 | 302 \n", + "모 | 298 \n", + "너 | 291 \n", + "주 | 291 \n", + "어 | 281 \n", + "러 | 265 \n", + "누 | 254 \n", + "로 | 229 \n", + "사 | 224 \n", + "호 | 221 \n", + "두 | 202 \n", + "저 | 198 \n", + "서 | 179 \n", + "나 | 171 \n", + "무 | 154 \n", + "라 | 152 \n", + "버 | 130 \n", + "가 | 120 \n", + "다 | 115 \n", + "허 | 114 \n", + "부 | 111 \n", + "머 | 66 \n", + "하 | 64 \n", + "루 | 63 \n", + "아 | 40 \n", + "자 | 31 \n", + "마 | 25 \n", + "배 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr06]호계사거리_03번 (총 14025 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 14629 \n", + "1 | 11998 \n", + "3 | 10179 \n", + "2 | 9265 \n", + "5 | 8517 \n", + "6 | 7291 \n", + "4 | 6765 \n", + "0 | 5851 \n", + "8 | 5609 \n", + "7 | 5518 \n", + "9 | 4882 \n", + "오 | 1031 \n", + "바 | 888 \n", + "거 | 876 \n", + "고 | 817 \n", + "구 | 801 \n", + "조 | 785 \n", + "어 | 763 \n", + "수 | 757 \n", + "소 | 756 \n", + "노 | 753 \n", + "도 | 732 \n", + "우 | 707 \n", + "보 | 690 \n", + "너 | 683 \n", + "더 | 633 \n", + "모 | 626 \n", + "러 | 618 \n", + "주 | 611 \n", + "누 | 593 \n", + "서 | 557 \n", + "두 | 524 \n", + "호 | 510 \n", + "로 | 473 \n", + "무 | 429 \n", + "저 | 428 \n", + "버 | 424 \n", + "부 | 411 \n", + "나 | 394 \n", + "허 | 371 \n", + "다 | 362 \n", + "사 | 327 \n", + "라 | 299 \n", + "머 | 276 \n", + "가 | 272 \n", + "루 | 258 \n", + "마 | 152 \n", + "하 | 113 \n", + "자 | 96 \n", + "아 | 75 \n", + "배 | 7 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_01번 (총 20047 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 18939 \n", + "1 | 8836 \n", + "2 | 6512 \n", + "6 | 6313 \n", + "3 | 6216 \n", + "5 | 5237 \n", + "8 | 5054 \n", + "0 | 4943 \n", + "4 | 4767 \n", + "9 | 3902 \n", + "7 | 3772 \n", + "오 | 743 \n", + "구 | 705 \n", + "노 | 573 \n", + "고 | 549 \n", + "도 | 529 \n", + "소 | 465 \n", + "거 | 464 \n", + "모 | 358 \n", + "보 | 354 \n", + "어 | 351 \n", + "조 | 325 \n", + "수 | 317 \n", + "너 | 308 \n", + "누 | 239 \n", + "러 | 237 \n", + "우 | 203 \n", + "더 | 183 \n", + "나 | 169 \n", + "주 | 157 \n", + "서 | 124 \n", + "부 | 113 \n", + "두 | 112 \n", + "바 | 109 \n", + "버 | 103 \n", + "라 | 101 \n", + "다 | 91 \n", + "머 | 64 \n", + "가 | 59 \n", + "호 | 55 \n", + "저 | 42 \n", + "자 | 36 \n", + "아 | 34 \n", + "무 | 32 \n", + "허 | 32 \n", + "로 | 26 \n", + "하 | 16 \n", + "루 | 8 \n", + "사 | 8 \n", + "마 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_02번 (총 17526 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 9541 \n", + "1 | 5906 \n", + "2 | 5373 \n", + "3 | 5035 \n", + "5 | 4197 \n", + "6 | 4178 \n", + "4 | 3567 \n", + "0 | 2807 \n", + "8 | 2569 \n", + "7 | 2493 \n", + "9 | 2239 \n", + "오 | 526 \n", + "구 | 490 \n", + "도 | 460 \n", + "노 | 454 \n", + "고 | 430 \n", + "조 | 425 \n", + "소 | 414 \n", + "더 | 384 \n", + "수 | 376 \n", + "우 | 363 \n", + "거 | 361 \n", + "어 | 358 \n", + "보 | 350 \n", + "모 | 343 \n", + "두 | 317 \n", + "주 | 315 \n", + "너 | 295 \n", + "누 | 268 \n", + "러 | 215 \n", + "무 | 187 \n", + "라 | 181 \n", + "서 | 179 \n", + "버 | 159 \n", + "로 | 157 \n", + "호 | 156 \n", + "저 | 153 \n", + "부 | 138 \n", + "나 | 130 \n", + "가 | 122 \n", + "바 | 122 \n", + "머 | 109 \n", + "다 | 98 \n", + "허 | 39 \n", + "마 | 28 \n", + "자 | 22 \n", + "하 | 20 \n", + "루 | 12 \n", + "사 | 7 \n", + "아 | 5 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_03번 (총 14762 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 7854 \n", + "1 | 5198 \n", + "2 | 4024 \n", + "3 | 3994 \n", + "5 | 3638 \n", + "6 | 3476 \n", + "4 | 3032 \n", + "8 | 2538 \n", + "0 | 2508 \n", + "9 | 2149 \n", + "7 | 2125 \n", + "오 | 451 \n", + "노 | 442 \n", + "구 | 429 \n", + "도 | 421 \n", + "고 | 392 \n", + "조 | 391 \n", + "모 | 384 \n", + "소 | 384 \n", + "어 | 352 \n", + "보 | 334 \n", + "거 | 321 \n", + "더 | 272 \n", + "우 | 269 \n", + "수 | 263 \n", + "너 | 262 \n", + "주 | 241 \n", + "두 | 232 \n", + "러 | 214 \n", + "누 | 207 \n", + "서 | 204 \n", + "부 | 171 \n", + "무 | 155 \n", + "버 | 150 \n", + "호 | 146 \n", + "라 | 144 \n", + "저 | 133 \n", + "머 | 116 \n", + "로 | 106 \n", + "나 | 104 \n", + "가 | 98 \n", + "바 | 96 \n", + "다 | 71 \n", + "허 | 46 \n", + "마 | 45 \n", + "루 | 24 \n", + "자 | 21 \n", + "하 | 20 \n", + "아 | 8 \n", + "사 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr11]유가사입구사거리_04번 (총 7586 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 2906 \n", + "2 | 2726 \n", + "3 | 2553 \n", + "6 | 2254 \n", + "5 | 1940 \n", + "4 | 1915 \n", + "x | 1838 \n", + "0 | 1510 \n", + "8 | 1392 \n", + "7 | 1214 \n", + "9 | 1132 \n", + "구 | 319 \n", + "고 | 305 \n", + "거 | 291 \n", + "소 | 291 \n", + "도 | 285 \n", + "두 | 285 \n", + "보 | 282 \n", + "더 | 271 \n", + "모 | 271 \n", + "우 | 257 \n", + "조 | 257 \n", + "수 | 254 \n", + "노 | 249 \n", + "어 | 249 \n", + "오 | 237 \n", + "무 | 227 \n", + "주 | 220 \n", + "누 | 213 \n", + "너 | 210 \n", + "러 | 203 \n", + "로 | 195 \n", + "서 | 185 \n", + "저 | 185 \n", + "버 | 181 \n", + "머 | 163 \n", + "부 | 121 \n", + "나 | 120 \n", + "라 | 116 \n", + "가 | 89 \n", + "다 | 89 \n", + "호 | 75 \n", + "바 | 50 \n", + "마 | 44 \n", + "허 | 37 \n", + "루 | 34 \n", + "하 | 18 \n", + "자 | 13 \n", + "아 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_01번 (총 14710 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 9850 \n", + "1 | 7055 \n", + "2 | 6062 \n", + "3 | 5985 \n", + "6 | 5286 \n", + "5 | 4521 \n", + "0 | 4500 \n", + "4 | 4214 \n", + "8 | 4163 \n", + "7 | 3571 \n", + "9 | 2938 \n", + "오 | 716 \n", + "고 | 663 \n", + "도 | 620 \n", + "어 | 615 \n", + "거 | 598 \n", + "구 | 581 \n", + "노 | 573 \n", + "소 | 520 \n", + "보 | 464 \n", + "조 | 453 \n", + "모 | 452 \n", + "수 | 446 \n", + "더 | 443 \n", + "누 | 425 \n", + "러 | 423 \n", + "우 | 418 \n", + "두 | 409 \n", + "주 | 403 \n", + "너 | 364 \n", + "버 | 362 \n", + "자 | 320 \n", + "서 | 270 \n", + "바 | 264 \n", + "라 | 255 \n", + "무 | 240 \n", + "저 | 237 \n", + "나 | 226 \n", + "부 | 219 \n", + "로 | 201 \n", + "가 | 191 \n", + "다 | 184 \n", + "머 | 176 \n", + "호 | 157 \n", + "허 | 66 \n", + "마 | 56 \n", + "아 | 47 \n", + "루 | 35 \n", + "하 | 33 \n", + "사 | 14 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_02번 (총 6179 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2226 \n", + "1 | 2206 \n", + "2 | 2056 \n", + "3 | 2001 \n", + "6 | 1608 \n", + "5 | 1510 \n", + "4 | 1324 \n", + "0 | 1157 \n", + "8 | 1113 \n", + "7 | 924 \n", + "9 | 860 \n", + "고 | 233 \n", + "소 | 202 \n", + "오 | 199 \n", + "조 | 196 \n", + "도 | 175 \n", + "거 | 172 \n", + "수 | 162 \n", + "노 | 160 \n", + "무 | 160 \n", + "어 | 159 \n", + "두 | 153 \n", + "더 | 151 \n", + "구 | 148 \n", + "주 | 144 \n", + "저 | 142 \n", + "우 | 140 \n", + "너 | 135 \n", + "러 | 135 \n", + "보 | 135 \n", + "나 | 128 \n", + "서 | 127 \n", + "모 | 125 \n", + "버 | 113 \n", + "부 | 112 \n", + "바 | 109 \n", + "누 | 108 \n", + "머 | 99 \n", + "로 | 95 \n", + "가 | 92 \n", + "라 | 87 \n", + "호 | 80 \n", + "다 | 58 \n", + "루 | 58 \n", + "마 | 44 \n", + "허 | 37 \n", + "하 | 36 \n", + "자 | 17 \n", + "아 | 8 \n", + "배 | 2 \n", + "사 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_03번 (총 16664 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11313 \n", + "1 | 6129 \n", + "2 | 4896 \n", + "3 | 4625 \n", + "6 | 4355 \n", + "5 | 4298 \n", + "8 | 3595 \n", + "4 | 3523 \n", + "0 | 3328 \n", + "9 | 2766 \n", + "7 | 2711 \n", + "오 | 623 \n", + "구 | 564 \n", + "도 | 549 \n", + "노 | 537 \n", + "고 | 472 \n", + "소 | 452 \n", + "조 | 411 \n", + "모 | 410 \n", + "거 | 382 \n", + "보 | 350 \n", + "너 | 305 \n", + "수 | 288 \n", + "우 | 244 \n", + "러 | 225 \n", + "어 | 224 \n", + "주 | 209 \n", + "더 | 178 \n", + "누 | 177 \n", + "두 | 166 \n", + "서 | 147 \n", + "나 | 142 \n", + "부 | 114 \n", + "호 | 97 \n", + "라 | 81 \n", + "바 | 70 \n", + "저 | 70 \n", + "다 | 68 \n", + "버 | 56 \n", + "가 | 54 \n", + "무 | 54 \n", + "로 | 52 \n", + "아 | 36 \n", + "허 | 26 \n", + "머 | 19 \n", + "자 | 18 \n", + "사 | 12 \n", + "하 | 11 \n", + "마 | 8 \n", + "루 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr12]휴양림입구사거리_04번 (총 3599 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2626 \n", + "1 | 1363 \n", + "2 | 1027 \n", + "6 | 965 \n", + "3 | 940 \n", + "5 | 804 \n", + "0 | 752 \n", + "4 | 708 \n", + "7 | 627 \n", + "8 | 595 \n", + "9 | 484 \n", + "오 | 123 \n", + "구 | 116 \n", + "고 | 109 \n", + "도 | 106 \n", + "소 | 97 \n", + "노 | 89 \n", + "거 | 67 \n", + "조 | 62 \n", + "모 | 58 \n", + "어 | 54 \n", + "너 | 52 \n", + "수 | 52 \n", + "보 | 48 \n", + "더 | 44 \n", + "러 | 37 \n", + "누 | 35 \n", + "우 | 35 \n", + "버 | 33 \n", + "자 | 31 \n", + "두 | 26 \n", + "서 | 26 \n", + "나 | 25 \n", + "주 | 25 \n", + "부 | 23 \n", + "저 | 19 \n", + "가 | 18 \n", + "라 | 17 \n", + "무 | 15 \n", + "다 | 14 \n", + "머 | 14 \n", + "바 | 14 \n", + "호 | 13 \n", + "허 | 10 \n", + "로 | 9 \n", + "아 | 8 \n", + "마 | 4 \n", + "사 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 48개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr13]판교기업지원허브전면삼거리_01번 (총 30316 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 14864 \n", + "3 | 11989 \n", + "2 | 10195 \n", + "5 | 9422 \n", + "6 | 8797 \n", + "4 | 7786 \n", + "0 | 6967 \n", + "x | 6751 \n", + "7 | 6567 \n", + "8 | 5395 \n", + "9 | 5109 \n", + "모 | 1632 \n", + "오 | 1475 \n", + "구 | 1370 \n", + "고 | 1349 \n", + "러 | 1303 \n", + "거 | 1282 \n", + "나 | 1196 \n", + "다 | 1081 \n", + "도 | 1024 \n", + "노 | 1015 \n", + "조 | 967 \n", + "부 | 943 \n", + "주 | 935 \n", + "우 | 907 \n", + "너 | 890 \n", + "소 | 855 \n", + "무 | 844 \n", + "호 | 834 \n", + "보 | 833 \n", + "라 | 820 \n", + "수 | 813 \n", + "어 | 786 \n", + "누 | 731 \n", + "더 | 719 \n", + "바 | 674 \n", + "서 | 667 \n", + "가 | 617 \n", + "허 | 561 \n", + "두 | 519 \n", + "저 | 519 \n", + "하 | 442 \n", + "아 | 410 \n", + "로 | 392 \n", + "자 | 390 \n", + "사 | 358 \n", + "버 | 344 \n", + "머 | 242 \n", + "마 | 228 \n", + "루 | 225 \n", + "배 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr14]동안사거리_02번 (총 311 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 265 \n", + "1 | 153 \n", + "2 | 107 \n", + "3 | 107 \n", + "6 | 85 \n", + "0 | 75 \n", + "4 | 66 \n", + "5 | 65 \n", + "9 | 51 \n", + "7 | 45 \n", + "8 | 42 \n", + "고 | 13 \n", + "구 | 12 \n", + "모 | 12 \n", + "오 | 12 \n", + "노 | 8 \n", + "도 | 6 \n", + "조 | 6 \n", + "소 | 5 \n", + "로 | 4 \n", + "너 | 3 \n", + "거 | 2 \n", + "러 | 2 \n", + "보 | 2 \n", + "수 | 2 \n", + "주 | 2 \n", + "가 | 1 \n", + "나 | 1 \n", + "다 | 1 \n", + "라 | 1 \n", + "무 | 1 \n", + "호 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 32개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr14]동안사거리_03번 (총 11639 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 4966 \n", + "7 | 4179 \n", + "3 | 4028 \n", + "2 | 3653 \n", + "0 | 3459 \n", + "x | 3015 \n", + "6 | 2947 \n", + "5 | 2784 \n", + "4 | 2406 \n", + "아 | 2394 \n", + "8 | 1463 \n", + "9 | 1275 \n", + "바 | 570 \n", + "오 | 484 \n", + "구 | 434 \n", + "고 | 411 \n", + "거 | 366 \n", + "모 | 325 \n", + "소 | 302 \n", + "러 | 297 \n", + "노 | 286 \n", + "다 | 278 \n", + "사 | 277 \n", + "수 | 277 \n", + "나 | 275 \n", + "주 | 270 \n", + "도 | 261 \n", + "조 | 259 \n", + "누 | 254 \n", + "우 | 243 \n", + "라 | 231 \n", + "가 | 230 \n", + "호 | 223 \n", + "부 | 208 \n", + "너 | 188 \n", + "자 | 188 \n", + "보 | 178 \n", + "어 | 170 \n", + "저 | 151 \n", + "더 | 147 \n", + "서 | 136 \n", + "로 | 131 \n", + "무 | 129 \n", + "두 | 119 \n", + "하 | 102 \n", + "루 | 95 \n", + "허 | 91 \n", + "마 | 54 \n", + "버 | 41 \n", + "머 | 23 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr14]동안사거리_05번 (총 1015 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 771 \n", + "1 | 531 \n", + "3 | 337 \n", + "2 | 334 \n", + "6 | 288 \n", + "5 | 272 \n", + "4 | 269 \n", + "0 | 225 \n", + "7 | 196 \n", + "9 | 127 \n", + "8 | 124 \n", + "오 | 35 \n", + "거 | 28 \n", + "어 | 28 \n", + "구 | 27 \n", + "고 | 26 \n", + "노 | 22 \n", + "도 | 21 \n", + "너 | 17 \n", + "더 | 16 \n", + "수 | 16 \n", + "두 | 15 \n", + "러 | 15 \n", + "소 | 15 \n", + "조 | 15 \n", + "서 | 14 \n", + "주 | 14 \n", + "누 | 13 \n", + "바 | 13 \n", + "저 | 13 \n", + "호 | 13 \n", + "우 | 12 \n", + "모 | 10 \n", + "무 | 10 \n", + "보 | 10 \n", + "다 | 9 \n", + "부 | 9 \n", + "허 | 8 \n", + "나 | 7 \n", + "라 | 7 \n", + "버 | 6 \n", + "로 | 5 \n", + "가 | 3 \n", + "머 | 3 \n", + "아 | 2 \n", + "마 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 46개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr15]판교역사거리_02번 (총 36024 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 13983 \n", + "3 | 12547 \n", + "2 | 11438 \n", + "5 | 9238 \n", + "6 | 8709 \n", + "4 | 7957 \n", + "0 | 6900 \n", + "x | 6526 \n", + "7 | 6279 \n", + "9 | 4426 \n", + "8 | 4195 \n", + "러 | 1409 \n", + "오 | 1383 \n", + "거 | 1313 \n", + "바 | 1286 \n", + "고 | 1271 \n", + "모 | 1267 \n", + "구 | 1218 \n", + "노 | 1123 \n", + "조 | 1113 \n", + "소 | 1057 \n", + "너 | 984 \n", + "주 | 929 \n", + "도 | 915 \n", + "다 | 866 \n", + "나 | 865 \n", + "부 | 859 \n", + "우 | 858 \n", + "더 | 843 \n", + "서 | 842 \n", + "누 | 841 \n", + "어 | 827 \n", + "수 | 816 \n", + "보 | 811 \n", + "라 | 809 \n", + "무 | 788 \n", + "호 | 686 \n", + "가 | 654 \n", + "저 | 604 \n", + "아 | 602 \n", + "로 | 586 \n", + "두 | 499 \n", + "버 | 466 \n", + "허 | 459 \n", + "하 | 370 \n", + "루 | 316 \n", + "사 | 296 \n", + "머 | 293 \n", + "자 | 270 \n", + "마 | 236 \n", + "배 | 8 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr16]판교테크노중앙사거리_02번 (총 12968 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11218 \n", + "1 | 6473 \n", + "2 | 4376 \n", + "3 | 3711 \n", + "6 | 3333 \n", + "5 | 3312 \n", + "4 | 3163 \n", + "0 | 2665 \n", + "7 | 2148 \n", + "9 | 1788 \n", + "8 | 1659 \n", + "오 | 524 \n", + "구 | 425 \n", + "고 | 399 \n", + "노 | 392 \n", + "도 | 373 \n", + "거 | 286 \n", + "소 | 283 \n", + "조 | 241 \n", + "어 | 201 \n", + "모 | 185 \n", + "보 | 181 \n", + "수 | 163 \n", + "너 | 155 \n", + "러 | 136 \n", + "더 | 108 \n", + "주 | 102 \n", + "누 | 98 \n", + "호 | 92 \n", + "우 | 81 \n", + "서 | 60 \n", + "버 | 57 \n", + "두 | 49 \n", + "라 | 48 \n", + "나 | 43 \n", + "저 | 39 \n", + "가 | 27 \n", + "로 | 25 \n", + "부 | 24 \n", + "허 | 21 \n", + "다 | 20 \n", + "무 | 20 \n", + "머 | 19 \n", + "아 | 18 \n", + "하 | 11 \n", + "바 | 10 \n", + "사 | 6 \n", + "자 | 3 \n", + "마 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr17]판교테크노파크공원진입사거리_01번 (총 8896 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 10037 \n", + "1 | 4334 \n", + "3 | 2512 \n", + "2 | 2500 \n", + "6 | 2379 \n", + "5 | 2245 \n", + "4 | 2145 \n", + "0 | 1999 \n", + "7 | 1892 \n", + "9 | 1343 \n", + "8 | 1187 \n", + "구 | 239 \n", + "고 | 225 \n", + "노 | 188 \n", + "오 | 146 \n", + "모 | 143 \n", + "도 | 124 \n", + "거 | 100 \n", + "소 | 74 \n", + "수 | 63 \n", + "누 | 58 \n", + "조 | 58 \n", + "보 | 56 \n", + "너 | 47 \n", + "어 | 45 \n", + "나 | 33 \n", + "러 | 28 \n", + "서 | 25 \n", + "부 | 21 \n", + "바 | 19 \n", + "사 | 14 \n", + "우 | 14 \n", + "호 | 14 \n", + "가 | 13 \n", + "주 | 13 \n", + "더 | 12 \n", + "두 | 12 \n", + "아 | 12 \n", + "버 | 11 \n", + "허 | 10 \n", + "다 | 9 \n", + "무 | 9 \n", + "저 | 9 \n", + "머 | 8 \n", + "라 | 7 \n", + "자 | 7 \n", + "로 | 4 \n", + "마 | 2 \n", + "하 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr17]판교테크노파크공원진입사거리_02번 (총 352 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 353 \n", + "1 | 175 \n", + "3 | 100 \n", + "6 | 92 \n", + "2 | 89 \n", + "7 | 72 \n", + "0 | 69 \n", + "4 | 68 \n", + "5 | 64 \n", + "9 | 47 \n", + "8 | 41 \n", + "노 | 8 \n", + "거 | 7 \n", + "고 | 7 \n", + "누 | 7 \n", + "구 | 5 \n", + "모 | 4 \n", + "너 | 2 \n", + "더 | 2 \n", + "보 | 2 \n", + "수 | 2 \n", + "오 | 2 \n", + "주 | 2 \n", + "호 | 2 \n", + "가 | 1 \n", + "나 | 1 \n", + "러 | 1 \n", + "부 | 1 \n", + "사 | 1 \n", + "서 | 1 \n", + "저 | 1 \n", + "허 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 32개\n", + "\n", + "📂 폴더: TL_차량번호판인식_교차로_[cr18]봇들사거리_02번 (총 35112 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "1 | 18506 \n", + "3 | 15030 \n", + "2 | 12415 \n", + "x | 11398 \n", + "5 | 10585 \n", + "6 | 9636 \n", + "4 | 9236 \n", + "0 | 8044 \n", + "7 | 7080 \n", + "9 | 5565 \n", + "8 | 5535 \n", + "모 | 1673 \n", + "오 | 1597 \n", + "러 | 1439 \n", + "거 | 1404 \n", + "고 | 1377 \n", + "나 | 1377 \n", + "구 | 1325 \n", + "바 | 1195 \n", + "다 | 1150 \n", + "노 | 1146 \n", + "도 | 1087 \n", + "부 | 1025 \n", + "조 | 986 \n", + "소 | 957 \n", + "수 | 939 \n", + "우 | 923 \n", + "너 | 909 \n", + "무 | 896 \n", + "라 | 875 \n", + "보 | 872 \n", + "누 | 855 \n", + "주 | 823 \n", + "서 | 822 \n", + "더 | 712 \n", + "어 | 696 \n", + "두 | 606 \n", + "호 | 601 \n", + "허 | 575 \n", + "저 | 547 \n", + "가 | 517 \n", + "로 | 512 \n", + "버 | 390 \n", + "사 | 378 \n", + "아 | 376 \n", + "자 | 371 \n", + "하 | 348 \n", + "루 | 290 \n", + "머 | 255 \n", + "마 | 143 \n", + "배 | 4 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr01]벌말성당삼거리_01번 (총 5352 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 6966 \n", + "1 | 3682 \n", + "6 | 2280 \n", + "2 | 2106 \n", + "3 | 1915 \n", + "5 | 1858 \n", + "4 | 1543 \n", + "0 | 1502 \n", + "7 | 1293 \n", + "9 | 1056 \n", + "8 | 939 \n", + "구 | 403 \n", + "고 | 382 \n", + "거 | 277 \n", + "나 | 163 \n", + "오 | 144 \n", + "누 | 122 \n", + "로 | 114 \n", + "서 | 88 \n", + "조 | 82 \n", + "보 | 74 \n", + "모 | 73 \n", + "어 | 73 \n", + "도 | 62 \n", + "소 | 59 \n", + "노 | 46 \n", + "수 | 43 \n", + "우 | 43 \n", + "러 | 40 \n", + "너 | 34 \n", + "다 | 31 \n", + "더 | 31 \n", + "가 | 24 \n", + "부 | 23 \n", + "주 | 23 \n", + "무 | 22 \n", + "호 | 22 \n", + "버 | 21 \n", + "허 | 20 \n", + "저 | 19 \n", + "사 | 15 \n", + "아 | 15 \n", + "하 | 15 \n", + "두 | 14 \n", + "자 | 14 \n", + "라 | 13 \n", + "바 | 13 \n", + "마 | 10 \n", + "머 | 6 \n", + "루 | 5 \n", + "배 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr02]안양자동차검사소_01번 (총 6889 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 7717 \n", + "1 | 5251 \n", + "3 | 3831 \n", + "2 | 2320 \n", + "4 | 2234 \n", + "6 | 2219 \n", + "5 | 2195 \n", + "0 | 1868 \n", + "8 | 1529 \n", + "7 | 1456 \n", + "9 | 1415 \n", + "조 | 963 \n", + "오 | 679 \n", + "노 | 593 \n", + "고 | 343 \n", + "더 | 255 \n", + "거 | 246 \n", + "너 | 195 \n", + "구 | 181 \n", + "모 | 166 \n", + "허 | 162 \n", + "도 | 150 \n", + "러 | 140 \n", + "어 | 129 \n", + "소 | 113 \n", + "수 | 98 \n", + "호 | 89 \n", + "보 | 79 \n", + "저 | 48 \n", + "서 | 46 \n", + "주 | 46 \n", + "누 | 44 \n", + "다 | 43 \n", + "우 | 42 \n", + "나 | 40 \n", + "버 | 28 \n", + "무 | 27 \n", + "바 | 24 \n", + "라 | 21 \n", + "부 | 21 \n", + "로 | 19 \n", + "두 | 16 \n", + "가 | 13 \n", + "머 | 11 \n", + "자 | 10 \n", + "루 | 8 \n", + "아 | 8 \n", + "사 | 6 \n", + "하 | 6 \n", + "마 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr03]엔미디어플랫폼_01번 (총 8437 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 6518 \n", + "1 | 4750 \n", + "4 | 3680 \n", + "3 | 1809 \n", + "2 | 1668 \n", + "6 | 1429 \n", + "8 | 1424 \n", + "5 | 1372 \n", + "9 | 1203 \n", + "7 | 1002 \n", + "0 | 996 \n", + "보 | 433 \n", + "모 | 334 \n", + "오 | 275 \n", + "도 | 190 \n", + "고 | 181 \n", + "구 | 147 \n", + "로 | 144 \n", + "조 | 126 \n", + "소 | 116 \n", + "어 | 116 \n", + "노 | 114 \n", + "다 | 91 \n", + "거 | 75 \n", + "라 | 73 \n", + "수 | 66 \n", + "나 | 61 \n", + "누 | 59 \n", + "주 | 56 \n", + "우 | 47 \n", + "호 | 45 \n", + "가 | 41 \n", + "너 | 36 \n", + "더 | 36 \n", + "서 | 34 \n", + "두 | 33 \n", + "버 | 30 \n", + "러 | 29 \n", + "무 | 23 \n", + "머 | 22 \n", + "부 | 22 \n", + "저 | 22 \n", + "허 | 19 \n", + "하 | 13 \n", + "마 | 9 \n", + "바 | 8 \n", + "아 | 6 \n", + "사 | 5 \n", + "루 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr04]나이스스크린_01번 (총 10066 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11754 \n", + "1 | 4844 \n", + "5 | 3329 \n", + "3 | 3124 \n", + "2 | 2974 \n", + "4 | 2603 \n", + "7 | 2442 \n", + "6 | 2057 \n", + "0 | 1987 \n", + "8 | 1598 \n", + "9 | 1466 \n", + "너 | 496 \n", + "우 | 375 \n", + "오 | 230 \n", + "거 | 181 \n", + "고 | 174 \n", + "도 | 167 \n", + "저 | 137 \n", + "구 | 134 \n", + "노 | 111 \n", + "소 | 101 \n", + "호 | 87 \n", + "누 | 85 \n", + "어 | 81 \n", + "서 | 80 \n", + "러 | 72 \n", + "조 | 65 \n", + "수 | 58 \n", + "모 | 52 \n", + "보 | 48 \n", + "더 | 46 \n", + "나 | 38 \n", + "허 | 38 \n", + "주 | 37 \n", + "부 | 35 \n", + "가 | 34 \n", + "다 | 34 \n", + "라 | 27 \n", + "두 | 25 \n", + "로 | 22 \n", + "하 | 20 \n", + "버 | 17 \n", + "머 | 15 \n", + "사 | 12 \n", + "아 | 12 \n", + "무 | 11 \n", + "바 | 10 \n", + "마 | 4 \n", + "루 | 3 \n", + "자 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr05]안양호계시장_01번 (총 6759 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 5502 \n", + "3 | 2765 \n", + "1 | 2684 \n", + "2 | 2068 \n", + "5 | 1954 \n", + "6 | 1704 \n", + "4 | 1552 \n", + "8 | 1354 \n", + "0 | 1332 \n", + "7 | 1142 \n", + "9 | 1119 \n", + "구 | 219 \n", + "오 | 205 \n", + "고 | 171 \n", + "너 | 171 \n", + "모 | 162 \n", + "도 | 161 \n", + "노 | 147 \n", + "조 | 141 \n", + "거 | 138 \n", + "더 | 138 \n", + "어 | 138 \n", + "소 | 116 \n", + "수 | 107 \n", + "누 | 98 \n", + "우 | 90 \n", + "보 | 84 \n", + "러 | 80 \n", + "두 | 69 \n", + "주 | 68 \n", + "호 | 53 \n", + "서 | 51 \n", + "버 | 45 \n", + "저 | 43 \n", + "머 | 42 \n", + "허 | 42 \n", + "다 | 39 \n", + "나 | 38 \n", + "라 | 35 \n", + "부 | 32 \n", + "로 | 27 \n", + "무 | 25 \n", + "가 | 19 \n", + "하 | 10 \n", + "바 | 8 \n", + "마 | 5 \n", + "루 | 3 \n", + "자 | 3 \n", + "아 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr06]대영교회_01번 (총 11225 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 19699 \n", + "3 | 7477 \n", + "8 | 6139 \n", + "1 | 4179 \n", + "7 | 3957 \n", + "2 | 3223 \n", + "5 | 2951 \n", + "6 | 2618 \n", + "4 | 2536 \n", + "0 | 2198 \n", + "9 | 2119 \n", + "소 | 560 \n", + "오 | 404 \n", + "거 | 378 \n", + "노 | 296 \n", + "구 | 295 \n", + "어 | 279 \n", + "고 | 266 \n", + "도 | 251 \n", + "조 | 249 \n", + "모 | 243 \n", + "너 | 242 \n", + "두 | 222 \n", + "더 | 214 \n", + "보 | 202 \n", + "수 | 194 \n", + "러 | 170 \n", + "누 | 157 \n", + "우 | 149 \n", + "주 | 129 \n", + "서 | 82 \n", + "저 | 82 \n", + "호 | 80 \n", + "나 | 76 \n", + "무 | 72 \n", + "버 | 69 \n", + "머 | 64 \n", + "바 | 60 \n", + "다 | 51 \n", + "라 | 48 \n", + "부 | 46 \n", + "허 | 44 \n", + "로 | 41 \n", + "가 | 35 \n", + "마 | 25 \n", + "하 | 14 \n", + "자 | 9 \n", + "사 | 8 \n", + "아 | 8 \n", + "루 | 7 \n", + "배 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr07]부성카인테리어_01번 (총 1774 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 3488 \n", + "4 | 1336 \n", + "5 | 1245 \n", + "1 | 883 \n", + "2 | 661 \n", + "3 | 565 \n", + "6 | 500 \n", + "7 | 464 \n", + "9 | 328 \n", + "0 | 319 \n", + "8 | 287 \n", + "오 | 87 \n", + "두 | 53 \n", + "보 | 46 \n", + "우 | 45 \n", + "거 | 40 \n", + "도 | 40 \n", + "구 | 39 \n", + "러 | 39 \n", + "노 | 34 \n", + "고 | 28 \n", + "어 | 26 \n", + "소 | 24 \n", + "누 | 23 \n", + "너 | 13 \n", + "모 | 12 \n", + "수 | 10 \n", + "로 | 9 \n", + "나 | 7 \n", + "다 | 7 \n", + "주 | 7 \n", + "허 | 7 \n", + "가 | 6 \n", + "더 | 6 \n", + "부 | 5 \n", + "조 | 5 \n", + "바 | 4 \n", + "라 | 3 \n", + "머 | 3 \n", + "사 | 3 \n", + "서 | 3 \n", + "호 | 3 \n", + "무 | 2 \n", + "자 | 2 \n", + "저 | 2 \n", + "마 | 1 \n", + "버 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 47개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr08]귀인중학교정문_01번 (총 6164 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4945 \n", + "1 | 2705 \n", + "3 | 1988 \n", + "2 | 1745 \n", + "5 | 1626 \n", + "6 | 1459 \n", + "4 | 1310 \n", + "0 | 1263 \n", + "7 | 1101 \n", + "8 | 1026 \n", + "9 | 977 \n", + "구 | 180 \n", + "거 | 178 \n", + "오 | 163 \n", + "모 | 161 \n", + "도 | 158 \n", + "고 | 147 \n", + "보 | 135 \n", + "노 | 132 \n", + "어 | 130 \n", + "소 | 112 \n", + "수 | 107 \n", + "조 | 91 \n", + "더 | 85 \n", + "너 | 79 \n", + "러 | 78 \n", + "누 | 73 \n", + "호 | 69 \n", + "버 | 64 \n", + "머 | 58 \n", + "우 | 58 \n", + "부 | 49 \n", + "나 | 47 \n", + "주 | 45 \n", + "허 | 44 \n", + "두 | 39 \n", + "서 | 35 \n", + "다 | 33 \n", + "라 | 28 \n", + "가 | 26 \n", + "바 | 26 \n", + "무 | 21 \n", + "저 | 18 \n", + "로 | 14 \n", + "마 | 11 \n", + "하 | 10 \n", + "루 | 7 \n", + "사 | 3 \n", + "자 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 49개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr09]LG전자주차장입구_01번 (총 12965 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13978 \n", + "1 | 7994 \n", + "4 | 7076 \n", + "2 | 6055 \n", + "3 | 5719 \n", + "0 | 5410 \n", + "5 | 4884 \n", + "6 | 4283 \n", + "8 | 3454 \n", + "9 | 2515 \n", + "7 | 1959 \n", + "어 | 1418 \n", + "소 | 878 \n", + "구 | 811 \n", + "오 | 760 \n", + "고 | 669 \n", + "노 | 646 \n", + "도 | 556 \n", + "모 | 378 \n", + "버 | 318 \n", + "조 | 300 \n", + "수 | 268 \n", + "누 | 244 \n", + "거 | 206 \n", + "너 | 168 \n", + "더 | 167 \n", + "보 | 164 \n", + "우 | 150 \n", + "두 | 130 \n", + "주 | 120 \n", + "서 | 109 \n", + "호 | 104 \n", + "러 | 91 \n", + "무 | 75 \n", + "가 | 74 \n", + "나 | 67 \n", + "허 | 61 \n", + "머 | 60 \n", + "부 | 60 \n", + "로 | 59 \n", + "라 | 49 \n", + "다 | 47 \n", + "저 | 36 \n", + "바 | 28 \n", + "하 | 20 \n", + "마 | 18 \n", + "자 | 16 \n", + "아 | 15 \n", + "사 | 10 \n", + "루 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr10]뚜레쥬르범계역점_01번 (총 36949 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 73066 \n", + "1 | 32142 \n", + "3 | 24843 \n", + "2 | 18619 \n", + "6 | 14491 \n", + "0 | 14400 \n", + "4 | 14146 \n", + "5 | 13286 \n", + "7 | 11554 \n", + "8 | 9844 \n", + "9 | 8484 \n", + "오 | 3786 \n", + "누 | 1485 \n", + "소 | 1436 \n", + "고 | 1223 \n", + "거 | 1197 \n", + "구 | 1107 \n", + "노 | 1095 \n", + "저 | 1008 \n", + "너 | 818 \n", + "도 | 779 \n", + "나 | 429 \n", + "모 | 377 \n", + "조 | 371 \n", + "보 | 343 \n", + "수 | 292 \n", + "어 | 285 \n", + "더 | 274 \n", + "호 | 205 \n", + "주 | 195 \n", + "서 | 171 \n", + "러 | 162 \n", + "우 | 128 \n", + "라 | 126 \n", + "두 | 109 \n", + "다 | 105 \n", + "가 | 58 \n", + "허 | 58 \n", + "부 | 45 \n", + "하 | 35 \n", + "버 | 31 \n", + "로 | 20 \n", + "사 | 20 \n", + "바 | 17 \n", + "무 | 16 \n", + "머 | 15 \n", + "자 | 12 \n", + "아 | 8 \n", + "마 | 6 \n", + "루 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr11]안양제일장로교회_01번 (총 11278 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 18397 \n", + "3 | 12932 \n", + "0 | 7909 \n", + "2 | 5046 \n", + "1 | 4963 \n", + "8 | 3142 \n", + "5 | 3020 \n", + "6 | 2948 \n", + "4 | 2476 \n", + "9 | 2372 \n", + "7 | 2208 \n", + "노 | 858 \n", + "거 | 442 \n", + "오 | 318 \n", + "고 | 301 \n", + "구 | 234 \n", + "소 | 187 \n", + "어 | 180 \n", + "너 | 158 \n", + "모 | 110 \n", + "도 | 109 \n", + "누 | 88 \n", + "러 | 88 \n", + "보 | 84 \n", + "더 | 83 \n", + "조 | 82 \n", + "수 | 76 \n", + "서 | 52 \n", + "주 | 46 \n", + "나 | 45 \n", + "우 | 40 \n", + "부 | 38 \n", + "바 | 36 \n", + "저 | 36 \n", + "버 | 30 \n", + "가 | 29 \n", + "다 | 26 \n", + "호 | 25 \n", + "두 | 23 \n", + "허 | 23 \n", + "머 | 18 \n", + "라 | 17 \n", + "로 | 14 \n", + "무 | 13 \n", + "아 | 5 \n", + "마 | 4 \n", + "사 | 4 \n", + "자 | 4 \n", + "하 | 4 \n", + "루 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr12]안양1번가중국집_01번 (총 4304 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 1876 \n", + "1 | 1571 \n", + "3 | 1240 \n", + "2 | 1161 \n", + "5 | 1063 \n", + "8 | 1032 \n", + "4 | 889 \n", + "6 | 851 \n", + "0 | 823 \n", + "9 | 767 \n", + "7 | 601 \n", + "고 | 165 \n", + "노 | 148 \n", + "어 | 144 \n", + "오 | 142 \n", + "모 | 123 \n", + "조 | 110 \n", + "누 | 104 \n", + "우 | 98 \n", + "수 | 96 \n", + "두 | 95 \n", + "구 | 91 \n", + "거 | 88 \n", + "도 | 87 \n", + "보 | 82 \n", + "로 | 79 \n", + "소 | 78 \n", + "무 | 76 \n", + "너 | 69 \n", + "버 | 65 \n", + "주 | 63 \n", + "허 | 63 \n", + "바 | 62 \n", + "더 | 60 \n", + "머 | 57 \n", + "호 | 56 \n", + "러 | 53 \n", + "서 | 43 \n", + "부 | 34 \n", + "저 | 31 \n", + "다 | 26 \n", + "나 | 21 \n", + "라 | 20 \n", + "루 | 16 \n", + "자 | 14 \n", + "가 | 13 \n", + "하 | 13 \n", + "마 | 11 \n", + "사 | 7 \n", + "아 | 6 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr13]농협직판장앞_01번 (총 9529 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 9125 \n", + "3 | 5344 \n", + "1 | 3554 \n", + "5 | 2642 \n", + "2 | 2557 \n", + "6 | 2128 \n", + "7 | 1983 \n", + "4 | 1915 \n", + "8 | 1835 \n", + "0 | 1628 \n", + "9 | 1628 \n", + "도 | 596 \n", + "오 | 278 \n", + "소 | 264 \n", + "고 | 245 \n", + "구 | 223 \n", + "노 | 223 \n", + "조 | 218 \n", + "바 | 210 \n", + "어 | 200 \n", + "수 | 188 \n", + "모 | 183 \n", + "보 | 183 \n", + "거 | 162 \n", + "서 | 144 \n", + "두 | 124 \n", + "주 | 121 \n", + "너 | 116 \n", + "누 | 105 \n", + "우 | 102 \n", + "로 | 98 \n", + "저 | 93 \n", + "버 | 87 \n", + "러 | 83 \n", + "더 | 79 \n", + "호 | 77 \n", + "나 | 74 \n", + "머 | 59 \n", + "다 | 52 \n", + "가 | 45 \n", + "라 | 45 \n", + "무 | 43 \n", + "허 | 40 \n", + "부 | 34 \n", + "사 | 17 \n", + "하 | 17 \n", + "마 | 12 \n", + "자 | 10 \n", + "루 | 6 \n", + "아 | 4 \n", + "배 | 2 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr14]비산고가교밑_01번 (총 15522 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13416 \n", + "1 | 6553 \n", + "2 | 4245 \n", + "3 | 4035 \n", + "6 | 3878 \n", + "5 | 3587 \n", + "4 | 3271 \n", + "0 | 2873 \n", + "7 | 2817 \n", + "9 | 2256 \n", + "8 | 2005 \n", + "고 | 382 \n", + "노 | 382 \n", + "구 | 380 \n", + "도 | 311 \n", + "오 | 309 \n", + "모 | 266 \n", + "어 | 258 \n", + "거 | 205 \n", + "소 | 183 \n", + "수 | 174 \n", + "보 | 164 \n", + "조 | 161 \n", + "너 | 155 \n", + "누 | 131 \n", + "러 | 122 \n", + "더 | 104 \n", + "서 | 88 \n", + "나 | 70 \n", + "우 | 69 \n", + "머 | 64 \n", + "버 | 64 \n", + "저 | 53 \n", + "무 | 49 \n", + "두 | 47 \n", + "주 | 38 \n", + "라 | 36 \n", + "부 | 36 \n", + "가 | 34 \n", + "다 | 34 \n", + "호 | 33 \n", + "로 | 22 \n", + "허 | 15 \n", + "하 | 9 \n", + "마 | 7 \n", + "사 | 4 \n", + "바 | 2 \n", + "아 | 2 \n", + "자 | 2 \n", + "루 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_이면도로_[sr15]신촌경로당앞사거리_01번 (총 2220 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 4715 \n", + "1 | 2460 \n", + "3 | 1891 \n", + "8 | 1361 \n", + "2 | 505 \n", + "4 | 505 \n", + "6 | 494 \n", + "5 | 474 \n", + "0 | 358 \n", + "7 | 340 \n", + "9 | 263 \n", + "구 | 34 \n", + "노 | 27 \n", + "도 | 25 \n", + "오 | 23 \n", + "고 | 18 \n", + "거 | 14 \n", + "수 | 12 \n", + "어 | 12 \n", + "보 | 10 \n", + "서 | 10 \n", + "모 | 8 \n", + "소 | 8 \n", + "조 | 7 \n", + "러 | 5 \n", + "가 | 3 \n", + "부 | 3 \n", + "우 | 3 \n", + "누 | 2 \n", + "더 | 2 \n", + "로 | 2 \n", + "하 | 2 \n", + "호 | 2 \n", + "나 | 1 \n", + "너 | 1 \n", + "무 | 1 \n", + "사 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 37개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar01]인덕원사거리과천방향_01번 (총 11292 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 13419 \n", + "1 | 7402 \n", + "3 | 5044 \n", + "2 | 4325 \n", + "4 | 4251 \n", + "5 | 4223 \n", + "6 | 3653 \n", + "0 | 2770 \n", + "8 | 2668 \n", + "9 | 2174 \n", + "7 | 2077 \n", + "오 | 623 \n", + "구 | 323 \n", + "보 | 279 \n", + "도 | 273 \n", + "소 | 268 \n", + "노 | 265 \n", + "고 | 261 \n", + "조 | 251 \n", + "모 | 211 \n", + "거 | 196 \n", + "너 | 185 \n", + "어 | 179 \n", + "수 | 165 \n", + "우 | 152 \n", + "나 | 151 \n", + "러 | 141 \n", + "호 | 123 \n", + "누 | 121 \n", + "서 | 106 \n", + "다 | 103 \n", + "라 | 103 \n", + "주 | 96 \n", + "더 | 86 \n", + "로 | 80 \n", + "부 | 71 \n", + "저 | 69 \n", + "가 | 67 \n", + "사 | 64 \n", + "두 | 62 \n", + "바 | 61 \n", + "허 | 45 \n", + "무 | 42 \n", + "아 | 36 \n", + "자 | 32 \n", + "하 | 27 \n", + "버 | 17 \n", + "마 | 15 \n", + "머 | 13 \n", + "루 | 10 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar02]인덕원사거리성남방향_02번 (총 1354 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 1958 \n", + "1 | 711 \n", + "2 | 514 \n", + "4 | 351 \n", + "7 | 305 \n", + "6 | 269 \n", + "3 | 245 \n", + "0 | 204 \n", + "8 | 127 \n", + "5 | 122 \n", + "9 | 108 \n", + "고 | 19 \n", + "서 | 17 \n", + "오 | 16 \n", + "어 | 12 \n", + "거 | 11 \n", + "가 | 10 \n", + "아 | 9 \n", + "나 | 8 \n", + "바 | 8 \n", + "부 | 8 \n", + "우 | 6 \n", + "하 | 6 \n", + "허 | 6 \n", + "구 | 5 \n", + "노 | 5 \n", + "누 | 5 \n", + "버 | 5 \n", + "수 | 5 \n", + "소 | 4 \n", + "저 | 4 \n", + "조 | 4 \n", + "너 | 3 \n", + "더 | 2 \n", + "도 | 2 \n", + "라 | 2 \n", + "모 | 2 \n", + "보 | 2 \n", + "사 | 2 \n", + "자 | 2 \n", + "주 | 2 \n", + "호 | 2 \n", + "다 | 1 \n", + "러 | 1 \n", + "루 | 1 \n", + "마 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 46개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar03]인덕원사거리수원방향_03번 (총 12032 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15715 \n", + "1 | 8764 \n", + "3 | 6464 \n", + "2 | 5284 \n", + "4 | 5177 \n", + "5 | 5054 \n", + "6 | 4481 \n", + "0 | 3597 \n", + "7 | 3179 \n", + "8 | 2867 \n", + "9 | 2642 \n", + "오 | 602 \n", + "구 | 460 \n", + "도 | 441 \n", + "보 | 407 \n", + "고 | 395 \n", + "소 | 385 \n", + "노 | 374 \n", + "거 | 343 \n", + "조 | 343 \n", + "수 | 322 \n", + "모 | 304 \n", + "사 | 296 \n", + "너 | 287 \n", + "어 | 285 \n", + "우 | 244 \n", + "누 | 242 \n", + "러 | 224 \n", + "더 | 222 \n", + "주 | 211 \n", + "로 | 204 \n", + "서 | 195 \n", + "두 | 162 \n", + "바 | 152 \n", + "호 | 146 \n", + "나 | 125 \n", + "부 | 108 \n", + "버 | 107 \n", + "무 | 100 \n", + "허 | 98 \n", + "라 | 92 \n", + "저 | 86 \n", + "다 | 70 \n", + "자 | 56 \n", + "가 | 48 \n", + "머 | 36 \n", + "루 | 28 \n", + "아 | 25 \n", + "하 | 23 \n", + "마 | 16 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar04]인덕원사거리동편마을방향_04번 (총 15772 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 20459 \n", + "1 | 15276 \n", + "3 | 12616 \n", + "2 | 11152 \n", + "5 | 10764 \n", + "6 | 8554 \n", + "4 | 8256 \n", + "7 | 7985 \n", + "8 | 7110 \n", + "0 | 7010 \n", + "9 | 6050 \n", + "바 | 1330 \n", + "오 | 1109 \n", + "거 | 989 \n", + "고 | 950 \n", + "아 | 886 \n", + "구 | 882 \n", + "도 | 882 \n", + "노 | 851 \n", + "소 | 847 \n", + "어 | 840 \n", + "수 | 831 \n", + "조 | 813 \n", + "우 | 737 \n", + "모 | 735 \n", + "보 | 733 \n", + "너 | 714 \n", + "누 | 714 \n", + "더 | 694 \n", + "주 | 666 \n", + "러 | 651 \n", + "두 | 634 \n", + "서 | 632 \n", + "호 | 631 \n", + "로 | 582 \n", + "저 | 522 \n", + "무 | 518 \n", + "버 | 508 \n", + "허 | 472 \n", + "부 | 433 \n", + "사 | 355 \n", + "머 | 334 \n", + "나 | 332 \n", + "루 | 309 \n", + "다 | 291 \n", + "라 | 279 \n", + "가 | 229 \n", + "마 | 172 \n", + "자 | 135 \n", + "하 | 109 \n", + "배 | 17 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar05]호계사거리서울방향_01번 (총 6289 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 8013 \n", + "1 | 4675 \n", + "3 | 3709 \n", + "2 | 3302 \n", + "5 | 2875 \n", + "6 | 2711 \n", + "4 | 2607 \n", + "0 | 2260 \n", + "8 | 2205 \n", + "7 | 2029 \n", + "9 | 2008 \n", + "오 | 418 \n", + "고 | 280 \n", + "어 | 260 \n", + "노 | 252 \n", + "소 | 252 \n", + "조 | 248 \n", + "구 | 241 \n", + "보 | 239 \n", + "도 | 228 \n", + "거 | 224 \n", + "우 | 220 \n", + "모 | 213 \n", + "누 | 180 \n", + "수 | 177 \n", + "너 | 167 \n", + "호 | 162 \n", + "주 | 154 \n", + "러 | 152 \n", + "서 | 151 \n", + "바 | 132 \n", + "부 | 128 \n", + "사 | 126 \n", + "로 | 120 \n", + "더 | 116 \n", + "버 | 114 \n", + "나 | 105 \n", + "허 | 103 \n", + "두 | 98 \n", + "저 | 94 \n", + "라 | 93 \n", + "가 | 90 \n", + "무 | 83 \n", + "다 | 80 \n", + "머 | 49 \n", + "하 | 45 \n", + "아 | 32 \n", + "루 | 31 \n", + "마 | 23 \n", + "자 | 20 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar06]호계사거리덕고개방향_02번 (총 11159 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 11138 \n", + "1 | 5753 \n", + "3 | 4545 \n", + "2 | 4497 \n", + "5 | 3584 \n", + "6 | 3436 \n", + "4 | 3182 \n", + "8 | 2639 \n", + "0 | 2632 \n", + "7 | 2528 \n", + "9 | 2430 \n", + "오 | 415 \n", + "고 | 329 \n", + "구 | 313 \n", + "도 | 309 \n", + "거 | 291 \n", + "노 | 289 \n", + "소 | 284 \n", + "조 | 276 \n", + "수 | 245 \n", + "보 | 212 \n", + "우 | 212 \n", + "누 | 177 \n", + "너 | 169 \n", + "더 | 158 \n", + "모 | 158 \n", + "어 | 155 \n", + "주 | 154 \n", + "로 | 142 \n", + "러 | 135 \n", + "나 | 134 \n", + "두 | 133 \n", + "서 | 133 \n", + "가 | 123 \n", + "호 | 123 \n", + "라 | 122 \n", + "부 | 103 \n", + "바 | 95 \n", + "다 | 94 \n", + "저 | 88 \n", + "버 | 87 \n", + "무 | 86 \n", + "머 | 59 \n", + "하 | 53 \n", + "허 | 44 \n", + "루 | 31 \n", + "사 | 25 \n", + "아 | 25 \n", + "마 | 17 \n", + "자 | 12 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar07]호계사거리수원방향_03번 (총 2473 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 2676 \n", + "1 | 1626 \n", + "3 | 1291 \n", + "2 | 1208 \n", + "5 | 1034 \n", + "6 | 952 \n", + "4 | 885 \n", + "8 | 796 \n", + "0 | 762 \n", + "7 | 688 \n", + "9 | 607 \n", + "오 | 113 \n", + "노 | 92 \n", + "보 | 90 \n", + "구 | 88 \n", + "어 | 85 \n", + "도 | 83 \n", + "우 | 81 \n", + "거 | 77 \n", + "고 | 75 \n", + "바 | 74 \n", + "수 | 71 \n", + "소 | 69 \n", + "너 | 66 \n", + "모 | 62 \n", + "조 | 62 \n", + "러 | 58 \n", + "주 | 55 \n", + "더 | 54 \n", + "무 | 54 \n", + "호 | 53 \n", + "로 | 50 \n", + "누 | 49 \n", + "두 | 43 \n", + "서 | 42 \n", + "버 | 40 \n", + "허 | 39 \n", + "나 | 38 \n", + "머 | 33 \n", + "부 | 29 \n", + "사 | 25 \n", + "가 | 24 \n", + "루 | 24 \n", + "저 | 24 \n", + "다 | 21 \n", + "라 | 21 \n", + "마 | 16 \n", + "아 | 8 \n", + "자 | 7 \n", + "하 | 4 \n", + "배 | 3 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar08]호계사거리유통단지방향_04번 (총 18257 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 18245 \n", + "1 | 13823 \n", + "3 | 11861 \n", + "2 | 10315 \n", + "5 | 10070 \n", + "6 | 7908 \n", + "4 | 7865 \n", + "0 | 6671 \n", + "7 | 6254 \n", + "8 | 6155 \n", + "9 | 5429 \n", + "바 | 1410 \n", + "오 | 1111 \n", + "어 | 980 \n", + "거 | 933 \n", + "조 | 902 \n", + "노 | 883 \n", + "도 | 867 \n", + "소 | 863 \n", + "구 | 847 \n", + "우 | 810 \n", + "수 | 807 \n", + "고 | 781 \n", + "누 | 708 \n", + "주 | 705 \n", + "두 | 677 \n", + "러 | 659 \n", + "모 | 657 \n", + "보 | 649 \n", + "로 | 648 \n", + "무 | 626 \n", + "더 | 598 \n", + "너 | 593 \n", + "버 | 578 \n", + "서 | 505 \n", + "저 | 461 \n", + "루 | 434 \n", + "머 | 369 \n", + "호 | 359 \n", + "부 | 348 \n", + "허 | 330 \n", + "라 | 319 \n", + "나 | 306 \n", + "다 | 292 \n", + "가 | 249 \n", + "사 | 238 \n", + "마 | 147 \n", + "아 | 114 \n", + "자 | 108 \n", + "하 | 85 \n", + "배 | 24 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 51개\n", + "\n", + "📂 폴더: TL_차량번호판인식_접근로_[ar09]판교동안사거리_01번 (총 15984 JSON 파일)\n", + "==========================================\n", + "문자 | 등장 횟수 \n", + "==========================================\n", + "x | 15092 \n", + "1 | 6542 \n", + "3 | 4987 \n", + "2 | 4959 \n", + "6 | 3788 \n", + "4 | 3514 \n", + "0 | 3310 \n", + "7 | 2619 \n", + "5 | 2609 \n", + "9 | 2055 \n", + "8 | 1320 \n", + "구 | 312 \n", + "고 | 283 \n", + "노 | 270 \n", + "모 | 238 \n", + "거 | 226 \n", + "오 | 210 \n", + "누 | 174 \n", + "어 | 173 \n", + "수 | 161 \n", + "소 | 138 \n", + "도 | 128 \n", + "조 | 101 \n", + "너 | 94 \n", + "보 | 91 \n", + "부 | 91 \n", + "더 | 82 \n", + "나 | 67 \n", + "러 | 67 \n", + "서 | 65 \n", + "주 | 53 \n", + "버 | 44 \n", + "무 | 42 \n", + "바 | 40 \n", + "호 | 40 \n", + "라 | 35 \n", + "허 | 34 \n", + "우 | 32 \n", + "가 | 28 \n", + "다 | 25 \n", + "사 | 21 \n", + "두 | 19 \n", + "머 | 19 \n", + "저 | 15 \n", + "아 | 14 \n", + "자 | 9 \n", + "하 | 6 \n", + "마 | 2 \n", + "로 | 1 \n", + "루 | 1 \n", + "==========================================\n", + "총 등장한 고유 문자 수: 50개\n", + "\n", + "\n", + "==========================\n", + "📊 전체 통계 (모든 폴더 합산)\n", + "==========================\n", + "문자 | 등장 횟수 \n", + "--------------------------\n", + "x | 647589 \n", + "1 | 441941 \n", + "3 | 368505 \n", + "2 | 314630 \n", + "5 | 278910 \n", + "6 | 251313 \n", + "4 | 245282 \n", + "0 | 210771 \n", + "7 | 191947 \n", + "8 | 178526 \n", + "9 | 155315 \n", + "오 | 40512 \n", + "구 | 28223 \n", + "고 | 27716 \n", + "거 | 27649 \n", + "노 | 26229 \n", + "도 | 25383 \n", + "소 | 24562 \n", + "바 | 24496 \n", + "조 | 22821 \n", + "어 | 22624 \n", + "모 | 21517 \n", + "수 | 20692 \n", + "우 | 19966 \n", + "보 | 19587 \n", + "너 | 19511 \n", + "러 | 19427 \n", + "누 | 18037 \n", + "더 | 16124 \n", + "주 | 16079 \n", + "서 | 14898 \n", + "나 | 13450 \n", + "두 | 12774 \n", + "부 | 12530 \n", + "호 | 12152 \n", + "저 | 12135 \n", + "로 | 11731 \n", + "다 | 11589 \n", + "무 | 10953 \n", + "라 | 10383 \n", + "버 | 9644 \n", + "아 | 8935 \n", + "허 | 8808 \n", + "가 | 8266 \n", + "사 | 8261 \n", + "머 | 6307 \n", + "루 | 5178 \n", + "하 | 4182 \n", + "자 | 4122 \n", + "마 | 3471 \n", + "배 | 152 \n", + "==========================\n", + "총 등장한 고유 문자 수: 51개\n" + ] + } + ], + "source": [ + "import os\n", + "import json\n", + "from collections import Counter\n", + "\n", + "# ==============================\n", + "# 최상위 폴더\n", + "# ==============================\n", + "root_dir = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/label/license_plate/\"\n", + "\n", + "# ==============================\n", + "# 전체 통계용 Counter\n", + "# ==============================\n", + "total_counter = Counter()\n", + "\n", + "# ==============================\n", + "# 하위 폴더별 문자 통계\n", + "# ==============================\n", + "for folder_name in sorted(os.listdir(root_dir)):\n", + " folder_path = os.path.join(root_dir, folder_name)\n", + " if not os.path.isdir(folder_path):\n", + " continue\n", + "\n", + " char_counter = Counter()\n", + " total_files = 0\n", + "\n", + " # 폴더 안 JSON 파일 탐색\n", + " for filename in os.listdir(folder_path):\n", + " if not filename.endswith(\".json\"):\n", + " continue\n", + "\n", + " json_path = os.path.join(folder_path, filename)\n", + " try:\n", + " with open(json_path, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + " except Exception as e:\n", + " print(f\"⚠️ JSON 읽기 오류: {filename} ({e})\")\n", + " continue\n", + "\n", + " total_files += 1\n", + " annotations = data.get(\"Learning_Data_Info\", {}).get(\"annotations\", [])\n", + "\n", + " for ann in annotations:\n", + " for lp_number in ann.get(\"license_plate_number\", []):\n", + " text = lp_number.get(\"text\")\n", + " if text:\n", + " char_counter[text] += 1\n", + " total_counter[text] += 1\n", + "\n", + " # 폴더별 출력\n", + " print(f\"\\n📂 폴더: {folder_name} (총 {total_files} JSON 파일)\")\n", + " print(\"==========================================\")\n", + " print(\"{:<10} | {:<10}\".format(\"문자\", \"등장 횟수\"))\n", + " print(\"==========================================\")\n", + " for char, count in sorted(char_counter.items(), key=lambda x: (-x[1], x[0])):\n", + " print(\"{:<10} | {:<10}\".format(char, count))\n", + " print(\"==========================================\")\n", + " print(f\"총 등장한 고유 문자 수: {len(char_counter)}개\")\n", + "\n", + "# ==============================\n", + "# 전체 통계 출력\n", + "# ==============================\n", + "print(\"\\n\\n==========================\")\n", + "print(\"📊 전체 통계 (모든 폴더 합산)\")\n", + "print(\"==========================\")\n", + "print(\"{:<10} | {:<10}\".format(\"문자\", \"등장 횟수\"))\n", + "print(\"--------------------------\")\n", + "for char, count in sorted(total_counter.items(), key=lambda x: (-x[1], x[0])):\n", + " print(\"{:<10} | {:<10}\".format(char, count))\n", + "print(\"==========================\")\n", + "print(f\"총 등장한 고유 문자 수: {len(total_counter)}개\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "5ba4c5c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ C-220806_16_CR14_02_N3236 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5113 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_18_CR14_02_N1890 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N2636 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N6979 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N1977 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N3635 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4542 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N2936 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_16_CR14_02_N4392 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5649 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2978 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0691 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N1486 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2112 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N5438 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4035 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N1827 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1137 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_11_CR14_02_N2940 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_16_CR14_02_N4387 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4088 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N4999 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N1689 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_16_CR14_02_N4373 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N1388 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N1490 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4785 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N3085 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N2826 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N6490 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_16_CR14_02_N3240 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N6039 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0539 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N4500 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N1801 → 4개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4862 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N4088 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N3240 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N0868 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N5737 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_18_CR14_02_N2487 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_18_CR14_02_N1737 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N0091 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2272 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N2990 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2418 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N6259 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4686 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N2342 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N2736 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N6226 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N5595 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N6517 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N2512 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N3235 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N2782 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N2647 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N2037 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_16_CR14_02_N2640 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_16_CR14_02_N3086 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4865 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N7347 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N3536 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N3196 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N2039 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N6064 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N2034 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N2035 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1135 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N3470 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4707 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N4095 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N3090 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0983 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N0989 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N3033 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N0555 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N4984 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_11_CR14_02_N1887 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N6354 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5283 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N1055 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N5285 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N0572 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N0869 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N5285 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N1027 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5601 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1438 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N4052 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N1736 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N2942 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N1806 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_18_CR14_02_N0386 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N0993 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1588 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2420 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4395 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0536 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0399 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N3632 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N4357 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N4969 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_11_CR14_02_N3101 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N1290 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N2334 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N2895 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N2634 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N2787 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N4240 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N1851 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N0985 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N4244 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N4384 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N2036 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N1212 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N3386 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N2784 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N0835 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4867 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N3598 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N1329 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4709 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N2282 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N5243 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N3026 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_11_CR14_02_N3239 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0332 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N6190 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1893 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2578 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4388 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5115 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1139 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N1497 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N1585 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N4688 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5481 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_16_CR14_02_N4250 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N2807 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N0690 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0858 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_11_CR14_02_N2484 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4712 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1891 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4087 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N5445 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2358 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N0863 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_18_CR14_02_N1587 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N1693 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4241 → 3개의 번호판 크롭 완료\n", + "✅ 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C-220806_18_CR14_02_N0483 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N4359 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N5287 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N4085 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_18_CR14_02_N0928 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N3348 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_09_CR14_02_N5407 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N2332 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N0986 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2889 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5580 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N5142 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N1020 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N1993 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N2032 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2278 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N3537 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N7287 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N1269 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_06_CR14_02_N0685 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N0837 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2883 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N5677 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N0649 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N4402 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N2354 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N0780 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N2417 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N1586 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N2935 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4397 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N2484 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N2268 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_11_CR14_02_N2640 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4399 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N6039 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N2435 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N2726 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N6037 → 3개의 번호판 크롭 완료\n", + "✅ 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번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N4544 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N6414 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2202 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N7659 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_17_CR14_02_N4785 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N2193 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N2340 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N2636 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N1439 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_11_CR14_02_N2882 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_15_CR14_02_N4185 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_10_CR14_02_N4988 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N1956 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_07_CR14_02_N3386 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N5735 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_14_CR14_02_N0560 → 2개의 번호판 크롭 완료\n", + "✅ C-220806_13_CR14_02_N2665 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N5818 → 1개의 번호판 크롭 완료\n", + "✅ C-220806_18_CR14_02_N0836 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_12_CR14_02_N3102 → 3개의 번호판 크롭 완료\n", + "✅ C-220806_08_CR14_02_N1215 → 2개의 번호판 크롭 완료\n" + ] + } + ], + "source": [ + "import os\n", + "import json\n", + "from pathlib import Path\n", + "from PIL import Image\n", + "import glob\n", + "\n", + "# ==============================\n", + "# 경로 설정\n", + "# ==============================\n", + "json_dir = Path(\"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/label/license_plate/TL_차량번호판인식_교차로_[cr14]동안사거리_02번/\")\n", + "img_dir = Path(\"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/image/license_plate/TS_차량번호판인식_교차로_[cr14]동안사거리_02번/\")\n", + "output_dir = Path(\"/home/cuuva/aihub_car/crop_image/\")\n", + "\n", + "output_dir.mkdir(parents=True, exist_ok=True)\n", + "\n", + "# ==============================\n", + "# JSON 파일 순회\n", + "# ==============================\n", + "for json_file in json_dir.glob(\"*.json\"):\n", + " try:\n", + " with open(json_file, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + " except Exception as e:\n", + " print(f\"⚠️ JSON 읽기 오류: {json_file.name} ({e})\")\n", + " continue\n", + "\n", + " # 이미지 파일 찾기 (glob.escape 사용, 대소문자 유연 처리)\n", + " pattern = glob.escape(str(img_dir / json_file.stem)) + \".*\"\n", + " img_files = glob.glob(pattern)\n", + " if not img_files:\n", + " print(f\"⚠️ 이미지 파일 없음: {json_file.stem}\")\n", + " continue\n", + " img_path = img_files[0] # 첫 번째 매칭 사용\n", + "\n", + " # 이미지 열기\n", + " img = Image.open(img_path).convert(\"RGB\")\n", + "\n", + " # license_plate bbox 크롭\n", + " annotations = data.get(\"Learning_Data_Info\", {}).get(\"annotations\", [])\n", + " crop_idx = 1\n", + " for ann in annotations:\n", + " for lp in ann.get(\"license_plate\", []):\n", + " bbox = lp.get(\"bbox\")\n", + " if not bbox or len(bbox) != 4:\n", + " continue\n", + " x, y, w, h = bbox\n", + " cropped = img.crop((x, y, x + w, y + h))\n", + "\n", + " # 저장\n", + " crop_filename = f\"{json_file.stem}_{crop_idx}.jpg\"\n", + " crop_path = output_dir / crop_filename\n", + " cropped.save(crop_path)\n", + " crop_idx += 1\n", + "\n", + " print(f\"✅ {json_file.stem} → {crop_idx-1}개의 번호판 크롭 완료\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "a075a173", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using CPU. Note: This module is much faster with a GPU.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "이미지: C-220806_17_CR14_02_N5737_1.jpg\n", + "추출된 번호판 글자: ['[222보 8763]', '255부 3170']\n" + ] + } + ], + "source": [ + "import random\n", + "from pathlib import Path\n", + "import easyocr\n", + "\n", + "# 크롭 이미지 폴더\n", + "# crop_dir = Path(\"/home/cuuva/aihub_car/crop_image/\")\n", + "crop_dir = Path(\"/home/cuuva/aihub_car/image (2).png\")\n", + "\n", + "# EasyOCR Reader (한국어, CPU 모드)\n", + "reader = easyocr.Reader(['ko'], gpu=False)\n", + "\n", + "# 폴더 안 이미지 리스트\n", + "img_files = list(crop_dir.glob(\"*.jpg\"))\n", + "\n", + "# 랜덤으로 한 장 선택\n", + "# img_file = random.choice(img_files)\n", + "\n", + "# OCR 추론\n", + "output = reader.readtext(str(crop_dir))\n", + "texts = [text for bbox, text, conf in output]\n", + "\n", + "print(f\"이미지: {img_file.name}\")\n", + "print(\"추출된 번호판 글자:\", texts)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5a441b50", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Renaming: VL_차량번호판인식_교차로_[cr13]판교기업지원허브전면삼거리_03번 -> cr13_03\n", + "Renaming: VL_차량번호판인식_교차로_[cr16]판교테크노중앙사거리_02번 -> cr16_02\n", + "Renaming: VL_차량번호판인식_이면도로_[sr10]뚜레쥬르범계역점_01번 -> sr10_01\n", + "Renaming: VL_차량번호판인식_접근로_[ar07]호계사거리수원방향_03번 -> ar07_03\n", + "Renaming: VL_차량번호판인식_접근로_[ar01]인덕원사거리과천방향_01번 -> ar01_01\n", + "Renaming: VL_차량번호판인식_이면도로_[sr11]안양제일장로교회_01번 -> sr11_01\n", + "Renaming: VL_차량번호판인식_이면도로_[sr05]안양호계시장_01번 -> sr05_01\n", + "Renaming: VL_차량번호판인식_이면도로_[sr06]대영교회_01번 -> sr06_01\n", + "Renaming: VL_차량번호판인식_접근로_[ar05]호계사거리서울방향_01번 -> ar05_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr06]호계사거리_03번 -> cr06_03\n", + "Renaming: VL_차량번호판인식_교차로_[cr12]휴양림입구사거리_04번 -> cr12_04\n", + "Renaming: VL_차량번호판인식_이면도로_[sr07]부성카인테리어_01번 -> sr07_01\n", + "Renaming: VL_차량번호판인식_이면도로_[sr08]귀인중학교정문_01번 -> sr08_01\n", + "Renaming: VL_차량번호판인식_이면도로_[sr09]LG전자주차장입구_01번 -> sr09_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr18]봇들사거리_03번 -> cr18_03\n", + "Renaming: VL_차량번호판인식_교차로_[cr18]봇들사거리_02번 -> cr18_02\n", + "Renaming: VL_차량번호판인식_이면도로_[sr14]비산고가교밑_01번 -> sr14_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr02]안양시청사거리_04번 -> cr02_04\n", + "Renaming: VL_차량번호판인식_접근로_[ar09]판교동안사거리_01번 -> ar09_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr13]판교기업지원허브전면삼거리_01번 -> cr13_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr15]판교역사거리_03번 -> cr15_03\n", + "Renaming: VL_차량번호판인식_교차로_[cr17]판교테크노파크공원진입사거리_02번 -> cr17_02\n", + "Renaming: VL_차량번호판인식_접근로_[ar02]인덕원사거리성남방향_02번 -> ar02_02\n", + "Renaming: VL_차량번호판인식_접근로_[ar06]호계사거리덕고개방향_02번 -> ar06_02\n", + "Renaming: VL_차량번호판인식_교차로_[cr16]판교테크노중앙사거리_03번 -> cr16_03\n", + "Renaming: VL_차량번호판인식_교차로_[cr05]인덕원사거리_04번 -> cr05_04\n", + "Renaming: VL_차량번호판인식_접근로_[ar08]호계사거리유통단지방향_04번 -> ar08_04\n", + "Renaming: VL_차량번호판인식_이면도로_[sr15]신촌경로당앞사거리_01번 -> sr15_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr03]범계사거리_04번 -> cr03_04\n", + "Renaming: VL_차량번호판인식_이면도로_[sr12]안양1번가중국집_01번 -> sr12_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr11]유가사입구사거리_04번 -> cr11_04\n", + "Renaming: VL_차량번호판인식_접근로_[ar04]인덕원사거리동편마을방향_04번 -> ar04_04\n", + "Renaming: VL_차량번호판인식_이면도로_[sr01]벌말성당삼거리_01번 -> sr01_01\n", + "Renaming: VL_차량번호판인식_접근로_[ar03]인덕원사거리수원방향_03번 -> ar03_03\n", + "Renaming: VL_차량번호판인식_교차로_[cr06]호계사거리_04번 -> cr06_04\n", + "Renaming: VL_차량번호판인식_교차로_[cr15]판교역사거리_02번 -> cr15_02\n", + "Renaming: VL_차량번호판인식_교차로_[cr01]비산사거리_04번 -> cr01_04\n", + "Renaming: VL_차량번호판인식_이면도로_[sr03]엔미디어플랫폼_01번 -> sr03_01\n", + "Renaming: VL_차량번호판인식_이면도로_[sr02]안양자동차검사소_01번 -> sr02_01\n", + "Renaming: VL_차량번호판인식_이면도로_[sr13]농협직판장앞_01번 -> sr13_01\n", + "Renaming: VL_차량번호판인식_교차로_[cr14]동안사거리_05번 -> cr14_05\n", + "Renaming: VL_차량번호판인식_이면도로_[sr04]나이스스크린_01번 -> sr04_01\n" + ] + } + ], + "source": [ + "import os\n", + "import re\n", + "\n", + "# 대상 경로\n", + "# base_path = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/image/license_plate/\"\n", + "# base_path = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/labels/license_plate/\"\n", + "base_path = \"/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/labels/license_plate/\"\n", + "\n", + "# 폴더 순회\n", + "for folder_name in os.listdir(base_path):\n", + " old_path = os.path.join(base_path, folder_name)\n", + " if os.path.isdir(old_path):\n", + " # [] 안의 cr 코드 추출\n", + " cr_match = re.search(r'\\[([^\\]]+)\\]', folder_name)\n", + " # 마지막 숫자 추출 (XX번)\n", + " num_match = re.search(r'_(\\d+)번$', folder_name)\n", + "\n", + " if cr_match and num_match:\n", + " new_name = f\"{cr_match.group(1)}_{num_match.group(1)}\"\n", + " new_path = os.path.join(base_path, new_name)\n", + " print(f\"Renaming: {folder_name} -> {new_name}\")\n", + " os.rename(old_path, new_path)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ba956452", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using CPU. Note: This module is much faster with a GPU.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected text: L23무 1470], Confidence: 0.06\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import easyocr\n", + "import cv2\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# 1. EasyOCR Reader 생성\n", + "# 한국어와 영어를 인식하도록 설정 ('ko'는 한글, 'en'은 영어)\n", + "reader = easyocr.Reader(['ko', 'en'], gpu=False)\n", + "\n", + "# 2. 이미지 불러오기\n", + "image_path = '/home/cuuva/다운로드/test/ocr_resized.png'\n", + "image = cv2.imread(image_path)\n", + "\n", + "# OpenCV는 BGR로 읽으므로 RGB로 변환\n", + "image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n", + "\n", + "# 3. OCR 수행\n", + "# detail=1이면 위치 정보와 함께 리턴\n", + "results = reader.readtext(image_rgb, detail=1)\n", + "\n", + "# 4. 결과 출력\n", + "for (bbox, text, prob) in results:\n", + " print(f\"Detected text: {text}, Confidence: {prob:.2f}\")\n", + " \n", + " # 결과 시각화\n", + " top_left = tuple(map(int, bbox[0]))\n", + " bottom_right = tuple(map(int, bbox[2]))\n", + " cv2.rectangle(image_rgb, top_left, bottom_right, (0, 255, 0), 2)\n", + " cv2.putText(image_rgb, text, (top_left[0], top_left[1]-10), \n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 2)\n", + "\n", + "# 5. 시각화\n", + "plt.figure(figsize=(10,6))\n", + "plt.imshow(image_rgb)\n", + "plt.axis('off')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "edcfea74", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using CPU. Note: This module is much faster with a GPU.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Inference time: 0.026 seconds\n", + "Detected text: '05무, Confidence: 0.37\n", + "Detected text: 5844], Confidence: 0.66\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import easyocr\n", + "import cv2\n", + "from matplotlib import pyplot as plt\n", + "import time # ⬅ 추가\n", + "\n", + "# 1. EasyOCR Reader 생성\n", + "reader = easyocr.Reader(['ko', 'en'], gpu=False)\n", + "\n", + "# 2. 이미지 불러오기\n", + "# image_path = '/home/cuuva/다운로드/test/ocr_resized.png'\n", + "image_path = '/home/cuuva/experiment/custom_LP_detect/ocr2.png'\n", + "image = cv2.imread(image_path)\n", + "image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n", + "\n", + "# ------------------------\n", + "# 3. OCR 수행 및 시간 측정\n", + "# ------------------------\n", + "start_time = time.time()\n", + "results = reader.readtext(image_rgb, detail=1)\n", + "end_time = time.time()\n", + "print(f\"Inference time: {end_time - start_time:.3f} seconds\")\n", + "\n", + "# 4. 결과 출력 및 시각화\n", + "for (bbox, text, prob) in results:\n", + " print(f\"Detected text: {text}, Confidence: {prob:.2f}\")\n", + " \n", + " # 바운딩 박스\n", + " top_left = tuple(map(int, bbox[0]))\n", + " bottom_right = tuple(map(int, bbox[2]))\n", + " cv2.rectangle(image_rgb, top_left, bottom_right, (0, 255, 0), 2)\n", + " cv2.putText(image_rgb, text, (top_left[0], top_left[1]-10), \n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 2)\n", + "\n", + "# 5. 시각화\n", + "plt.figure(figsize=(10,6))\n", + "plt.imshow(image_rgb)\n", + "plt.axis('off')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "d0d8c590", + "metadata": {}, + "source": [ + "# Paddle OCR 사용\n", + "### 1. 원본 crop\n", + "### 2. 640*384 변환 후 crop" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "96833108", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_788464/4250097566.py:6: DeprecationWarning: The parameter `use_angle_cls` has been deprecated and will be removed in the future. Please use `use_textline_orientation` instead.\n", + " ocr = PaddleOCR(lang='korean', use_angle_cls=True) # CPU\n", + "\u001b[32mCreating model: ('PP-LCNet_x1_0_doc_ori', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-LCNet_x1_0_doc_ori`.\u001b[0m\n", + "\u001b[32mCreating model: ('UVDoc', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/UVDoc`.\u001b[0m\n", + "\u001b[32mCreating model: ('PP-LCNet_x1_0_textline_ori', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-LCNet_x1_0_textline_ori`.\u001b[0m\n", + "\u001b[32mCreating model: ('PP-OCRv5_server_det', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-OCRv5_server_det`.\u001b[0m\n", + "\u001b[32mCreating model: ('korean_PP-OCRv5_mobile_rec', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/korean_PP-OCRv5_mobile_rec`.\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected text: ·23무, Confidence: 0.89\n", + "Detected text: 1499, Confidence: 1.00\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from paddleocr import PaddleOCR\n", + "import cv2\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# PaddleOCR 객체 생성\n", + "ocr = PaddleOCR(lang='korean', use_angle_cls=True) # CPU\n", + "\n", + "# 이미지 불러오기\n", + "image_path = '/home/cuuva/다운로드/test/ocr.png'\n", + "image = cv2.imread(image_path)\n", + "image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n", + "\n", + "# OCR 수행\n", + "results = ocr.predict(image_path)\n", + "\n", + "# dict 구조 확인\n", + "for page in results:\n", + " rec_texts = page['rec_texts']\n", + " rec_scores = page['rec_scores']\n", + " rec_polys = page['rec_polys']\n", + "\n", + " for text, score, poly in zip(rec_texts, rec_scores, rec_polys):\n", + " print(f\"Detected text: {text}, Confidence: {score:.2f}\")\n", + "\n", + " # 바운딩 박스 그리기\n", + " top_left = tuple(map(int, poly[0]))\n", + " bottom_right = tuple(map(int, poly[2]))\n", + " cv2.rectangle(image_rgb, top_left, bottom_right, (0, 255, 0), 2)\n", + " cv2.putText(image_rgb, text, (top_left[0], top_left[1]-10),\n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 0, 0), 2)\n", + "\n", + "# 시각화\n", + "plt.figure(figsize=(10, 6))\n", + "plt.imshow(image_rgb)\n", + "plt.axis('off')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a872ddff", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_788464/878629889.py:6: DeprecationWarning: The parameter `use_angle_cls` has been deprecated and will be removed in the future. Please use `use_textline_orientation` instead.\n", + " ocr = PaddleOCR(lang='korean', use_angle_cls=True) # CPU\n", + "\u001b[32mCreating model: ('PP-LCNet_x1_0_doc_ori', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-LCNet_x1_0_doc_ori`.\u001b[0m\n", + "\u001b[32mCreating model: ('UVDoc', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/UVDoc`.\u001b[0m\n", + "\u001b[32mCreating model: ('PP-LCNet_x1_0_textline_ori', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-LCNet_x1_0_textline_ori`.\u001b[0m\n", + "\u001b[32mCreating model: ('PP-OCRv5_server_det', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-OCRv5_server_det`.\u001b[0m\n", + "\u001b[32mCreating model: ('korean_PP-OCRv5_mobile_rec', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/korean_PP-OCRv5_mobile_rec`.\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected text: 23부 1499-, Confidence: 0.77\n" + ] + }, + { + "data": { + "image/png": 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A0E7RAAAA2ikaAABAO0UDAABop2gAAADtFA0AAKCdogEAALRTNAAAgHaKBgAA0E7RAAAA2g3TNE2X9A9reKGP5Wu8+yd/IcodHZ6Pcstl3rumcRPlDo8uRLkzZ05Huaqq2Sw7z81mG+UubYX93x0eHUW5s9ddH8984oknotxyuYxyR+E5VlWt1+s4m9iMY5ydz+dRbjZfRLnjcL1W5Wv2eBtenyHfe9LrM03hsaa5qrr6zJkod7zDM1KV3cxLfDV+jfk8v5f7+/tR7vDwMMoNQ/5eT5/n9LoeHx9Huaqq5XoV5dJ33myWXZvns9k9OTrO1kAN+Qt6s82+exaLdM+KYlVVNQzZPfnVX/m1eOZzR9n6eevb741y73zrG6PcLqZL2F/9ogEAALRTNAAAgHaKBgAA0E7RAAAA2ikaAABAO0UDAABop2gAAADtFA0AAKCdogEAALRTNAAAgHaKBgAA0E7RAAAA2ikaAABAu8VJH8DFPPLII1FuqDHKjeNxlKuq+uIX/0uUWy7nUe7cuXNRrqrqsccei3KzWdZLpzG7H1VV8/kQ5Q4PD+OZqeOjTZRbrVbxzNOnT0e5586fj3LjNEW5ql3uSbYG1nv74byqC+GxHhxk92MYsnOsqtpus+drCJ/n5Sp/baRrYG9vL545n2XX9sknngjn5X+/22VfT5w6dSrOXnXVVVFus8n2yfV+vgaeeSa7rpvw2Vqv11Guqmq7zb5DttsL2cAhfz9P4b51w43fFOWGRb73bI6zd9fh+W088zte/4YoNw35zCuRXzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7YZpmqZL+oc1vNDHAgAAfAOY6utXCL9oAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACg3eJS/+F73vfhaMBQU5SrqpqmLDuO2yg3G6JYVVUNQxaepjHM5df1cttlDVR6nrtcn3AdpBPTtfO/0pd15k7HehIzQ/HeE66Ck7iuY7pgZ7v8fery38v0yRzHbG/e5V6m2fRYT+R2nIBhuLx/Uz2JPX1v71Q2bZhHuaqq480mym232TfafJ4f6yzMzna4l1N4L4+32XWdzXa4Pmnw3hfwvw0AAPD/omgAAADtFA0AAKCdogEAALRTNAAAgHaKBgAA0E7RAAAA2ikaAABAO0UDAABop2gAAADtFA0AAKCdogEAALRTNAAAgHaLS/6XwzwasNluo1xV1WaTZWez7FjHGqJcVVVNYWzKut40hQN3kF+d/FiHIZw6XP7rEzuBQ53GE1g/82ytx2tgB9txDJPZsabXZpeZaW5znK+ddN/aZQ0MQ3pts9xslt/LIbwnY7yJXP59IJ24yzaQroH0Xu62XrPsdraMcovZpX8G/p9Wi3WcTeTrPN97ph1mLhfZt+hsk+V2eVOmx3op/KIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaLe41H/4xS9/ORowjmOUq6rabrdRbrlcRrlhGKLcLtlpmi5rrqoqP8tw3g7XdRYe7S7X53Kbdrgh30jnma6D+eKSt6n/PTefR7mqqlmYHWaX++mqGsM1kO7N671TUa5qh/W6w3XdZf9JzHfYYdNDTa/rZrPJBtYOxxrmdrmNs1n2N9V07aTzqiq+QM8993SUW8yz76WqfI+dL8K9eYdFsN1ma322w8zNMnt3xd+F2/x7+2iH9+XX4xcNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANopGgAAQDtFAwAAaKdoAAAA7RQNAACgnaIBAAC0UzQAAIB2igYAANBO0QAAANoN0zRNJ30QAADAi4tfNAAAgHaKBgAA0E7RAAAA2ikaAABAO0UDAABop2gAAADtFA0AAKCdogEAALRTNAAAgHb/E56Np8xnI5g+AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from paddleocr import PaddleOCR\n", + "import cv2\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# PaddleOCR 객체 생성\n", + "ocr = PaddleOCR(lang='korean', use_angle_cls=True) # CPU\n", + "\n", + "# 이미지 불러오기\n", + "image_path = '/home/cuuva/다운로드/test/ocr_resized.png'\n", + "image = cv2.imread(image_path)\n", + "image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n", + "\n", + "# OCR 수행\n", + "results = ocr.predict(image_path)\n", + "\n", + "# dict 구조 확인\n", + "for page in results:\n", + " rec_texts = page['rec_texts']\n", + " rec_scores = page['rec_scores']\n", + " rec_polys = page['rec_polys']\n", + "\n", + " for text, score, poly in zip(rec_texts, rec_scores, rec_polys):\n", + " print(f\"Detected text: {text}, Confidence: {score:.2f}\")\n", + "\n", + " # 바운딩 박스 그리기\n", + " top_left = tuple(map(int, poly[0]))\n", + " bottom_right = tuple(map(int, poly[2]))\n", + " cv2.rectangle(image_rgb, top_left, bottom_right, (0, 255, 0), 2)\n", + " cv2.putText(image_rgb, text, (top_left[0], top_left[1]-10),\n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 0, 0), 2)\n", + "\n", + "# 시각화\n", + "plt.figure(figsize=(10, 6))\n", + "plt.imshow(image_rgb)\n", + "plt.axis('off')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "3a31a096", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_788464/2680696544.py:7: DeprecationWarning: The parameter `use_angle_cls` has been deprecated and will be removed in the future. Please use `use_textline_orientation` instead.\n", + " ocr = PaddleOCR(lang='korean', use_angle_cls=True) # CPU\n", + "\u001b[32mCreating model: ('PP-LCNet_x1_0_doc_ori', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-LCNet_x1_0_doc_ori`.\u001b[0m\n", + "\u001b[32mCreating model: ('UVDoc', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/UVDoc`.\u001b[0m\n", + "\u001b[32mCreating model: ('PP-LCNet_x1_0_textline_ori', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-LCNet_x1_0_textline_ori`.\u001b[0m\n", + "\u001b[32mCreating model: ('PP-OCRv5_server_det', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/PP-OCRv5_server_det`.\u001b[0m\n", + "\u001b[32mCreating model: ('korean_PP-OCRv5_mobile_rec', None)\u001b[0m\n", + "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/cuuva/.paddlex/official_models/korean_PP-OCRv5_mobile_rec`.\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Inference time: 0.286 seconds\n", + "Detected text: 23부 1499-, Confidence: 0.77\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from paddleocr import PaddleOCR\n", + "import cv2\n", + "from matplotlib import pyplot as plt\n", + "import time # ⬅ 추가\n", + "\n", + "# PaddleOCR 객체 생성\n", + "ocr = PaddleOCR(lang='korean', use_angle_cls=True) # CPU\n", + "\n", + "# 이미지 불러오기\n", + "image_path = '/home/cuuva/다운로드/test/ocr_resized.png'\n", + "image = cv2.imread(image_path)\n", + "image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n", + "\n", + "# ------------------------\n", + "# Inference 시간 측정 시작\n", + "# ------------------------\n", + "start_time = time.time()\n", + "results = ocr.predict(image_path)\n", + "end_time = time.time()\n", + "print(f\"Inference time: {end_time - start_time:.3f} seconds\")\n", + "# ------------------------\n", + "\n", + "# OCR 결과 출력 및 시각화\n", + "for page in results:\n", + " rec_texts = page['rec_texts']\n", + " rec_scores = page['rec_scores']\n", + " rec_polys = page['rec_polys']\n", + "\n", + " for text, score, poly in zip(rec_texts, rec_scores, rec_polys):\n", + " print(f\"Detected text: {text}, Confidence: {score:.2f}\")\n", + "\n", + " # 바운딩 박스 그리기\n", + " top_left = tuple(map(int, poly[0]))\n", + " bottom_right = tuple(map(int, poly[2]))\n", + " cv2.rectangle(image_rgb, top_left, bottom_right, (0, 255, 0), 2)\n", + " cv2.putText(image_rgb, text, (top_left[0], top_left[1]-10),\n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 0, 0), 2)\n", + "\n", + "# 시각화\n", + "plt.figure(figsize=(10, 6))\n", + "plt.imshow(image_rgb)\n", + "plt.axis('off')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "5abda048", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PaddlePaddle version: 3.2.2\n", + "Use GPU: False\n" + ] + } + ], + "source": [ + "import paddle\n", + "print(\"PaddlePaddle version:\", paddle.__version__)\n", + "print(\"Use GPU:\", paddle.is_compiled_with_cuda())" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "9870ce12", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🎬 영상 처리 시작: /home/cuuva/다운로드/car_lp.mov\n", + "🎯 저장 경로: /home/cuuva/다운로드/lp_infer.mp4\n", + "\n", + "0: 384x640 (no detections), 16.8ms\n", + "Speed: 1.3ms preprocess, 16.8ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 2.1ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.2ms\n", + "Speed: 0.7ms preprocess, 2.2ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.3ms\n", + "Speed: 0.5ms preprocess, 2.3ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.4ms\n", + "Speed: 0.5ms preprocess, 2.4ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.3ms\n", + "Speed: 0.6ms preprocess, 2.3ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.2ms\n", + "Speed: 0.6ms preprocess, 2.2ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.7ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 50\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.6ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 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640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 100\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.7ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 3.1ms\n", + "Speed: 0.9ms preprocess, 3.1ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.3ms\n", + "Speed: 0.7ms preprocess, 2.3ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.3ms\n", + "Speed: 0.6ms preprocess, 2.3ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.3ms\n", + "Speed: 0.7ms preprocess, 2.3ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 150\n", + "\n", + "0: 384x640 2 lps, 2.3ms\n", + "Speed: 0.7ms preprocess, 2.3ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.5ms\n", + "Speed: 0.8ms preprocess, 2.5ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.6ms\n", + "Speed: 0.6ms preprocess, 2.6ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.2ms\n", + "Speed: 0.6ms preprocess, 2.2ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.2ms\n", + "Speed: 0.6ms preprocess, 2.2ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.2ms\n", + "Speed: 0.5ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.8ms preprocess, 2.0ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.6ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 200\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.7ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.3ms\n", + "Speed: 0.6ms preprocess, 2.3ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 2.3ms\n", + "Speed: 0.9ms preprocess, 2.3ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 2.2ms\n", + "Speed: 0.7ms preprocess, 2.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.2ms\n", + "Speed: 0.7ms preprocess, 2.2ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.2ms\n", + "Speed: 0.7ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 2.2ms\n", + "Speed: 0.6ms preprocess, 2.2ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 2.4ms\n", + "Speed: 0.7ms preprocess, 2.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.4ms\n", + "Speed: 0.8ms preprocess, 2.4ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.1ms\n", + "Speed: 0.7ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.2ms\n", + "Speed: 0.5ms preprocess, 2.2ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 250\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 2.0ms\n", + "Speed: 0.8ms preprocess, 2.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 2.0ms\n", + "Speed: 0.8ms preprocess, 2.0ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 2.1ms\n", + "Speed: 0.8ms preprocess, 2.1ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 2.4ms\n", + "Speed: 0.7ms preprocess, 2.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.1ms\n", + "Speed: 0.5ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 300\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.5ms\n", + "Speed: 0.5ms preprocess, 2.5ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 350\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.6ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 8 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 7 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 6 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.1ms\n", + "Speed: 0.8ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 400\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.8ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.6ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.6ms preprocess, 2.0ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.3ms\n", + "Speed: 0.4ms preprocess, 2.3ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.7ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 2.0ms\n", + "Speed: 0.8ms preprocess, 2.0ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 lp, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "✅ 처리 프레임: 450\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 2.2ms\n", + "Speed: 0.5ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 2.0ms\n", + "Speed: 0.5ms preprocess, 2.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 2.1ms\n", + "Speed: 0.6ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.5ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 lps, 1.9ms\n", + "Speed: 0.4ms preprocess, 1.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "🎉 영상 저장 완료: /home/cuuva/다운로드/lp_infer.mp4\n" + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "import cv2\n", + "\n", + "# ----------------------------\n", + "# 1. 모델 로드\n", + "# ----------------------------\n", + "model_path = \"/home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22/weights/best_lp_detect.pt\"\n", + "model = YOLO(model_path)\n", + "\n", + "# ----------------------------\n", + "# 2. 입력 영상\n", + "# ----------------------------\n", + "video_path = \"/home/cuuva/다운로드/car_lp.mov\"\n", + "cap = cv2.VideoCapture(video_path)\n", + "\n", + "# ----------------------------\n", + "# 3. 출력 영상 설정\n", + "# ----------------------------\n", + "output_path = \"/home/cuuva/다운로드/lp_infer.mp4\"\n", + "fourcc = cv2.VideoWriter_fourcc(*\"mp4v\")\n", + "fps = cap.get(cv2.CAP_PROP_FPS)\n", + "width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n", + "height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n", + "out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))\n", + "\n", + "print(f\"🎬 영상 처리 시작: {video_path}\")\n", + "print(f\"🎯 저장 경로: {output_path}\")\n", + "\n", + "# ----------------------------\n", + "# 4. 프레임 반복하며 inference\n", + "# ----------------------------\n", + "frame_idx = 0\n", + "while cap.isOpened():\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " frame_idx += 1\n", + "\n", + " # YOLO inference\n", + " results = model(frame)\n", + "\n", + " # bbox, label, confidence 시각화된 프레임\n", + " annotated_frame = results[0].plot()\n", + "\n", + " # 영상 저장\n", + " out.write(annotated_frame)\n", + "\n", + " if frame_idx % 50 == 0:\n", + " print(f\"✅ 처리 프레임: {frame_idx}\")\n", + "\n", + "# ----------------------------\n", + "# 5. 자원 해제\n", + "# ----------------------------\n", + "cap.release()\n", + "out.release()\n", + "print(f\"🎉 영상 저장 완료: {output_path}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bbeff581", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/custom_LP_detect/yolo_exp.ipynb b/custom_LP_detect/yolo_exp.ipynb new file mode 100644 index 0000000..0356971 --- /dev/null +++ b/custom_LP_detect/yolo_exp.ipynb @@ -0,0 +1,685 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "a7676704", + "metadata": {}, + "outputs": [], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3e94066a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "99b0442c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.228 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/custom_LP_detect/custom_LP.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=200, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=0.2, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=epo_200_frac_0_22, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=40, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=lp_detect, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=1\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] \n", + " 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] \n", + " 2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True] \n", + " 3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2] \n", + " 4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True] \n", + " 5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n", + " 6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True] \n", + " 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n", + " 8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True] \n", + " 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 1 37248 ultralytics.nn.modules.block.C2f [192, 64, 1] \n", + " 16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1] \n", + " 19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1] \n", + " 22 [15, 18, 21] 1 751507 ultralytics.nn.modules.head.Detect [1, [64, 128, 256]] \n", + "Model summary: 129 layers, 3,011,043 parameters, 3,011,027 gradients, 8.2 GFLOPs\n", + "\n", + "Transferred 319/355 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 1415.2±186.1 MB/s, size: 1748.6 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/labels/license_plate/ar01_01.cache... 160269 images, 0 backgrounds, 2 corrupt: 100% ━━━━━━━━━━━━ 160271/160271 514.3Mit/s 0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ar01_01/C-220930_08_AR01_01_N0023.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ar01_01/C-221011_13_AR01_01_N4945.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ar01_01/C-221019_12_AR01_01_N5133.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ar01_01/C-221019_14_AR01_01_N0089.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: 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bytes not processed)\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.33G total, 0.15G reserved, 0.05G allocated, 31.13G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n", + " 3011043 8.194 3.456 31.09 193.1 (1, 3, 640, 640) list\n", + " 3011043 16.39 3.997 4.507 23.43 (2, 3, 640, 640) list\n", + " 3011043 32.78 4.270 5.17 24.49 (4, 3, 640, 640) list\n", + " 3011043 65.55 4.979 5.493 31.44 (8, 3, 640, 640) list\n", + " 3011043 131.1 6.201 7.781 41.38 (16, 3, 640, 640) list\n", + " 3011043 262.2 5.014 15.01 55.64 (32, 3, 640, 640) list\n", + " 3011043 524.4 10.863 31.73 105.9 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 135 for CUDA:0 19.16G/31.33G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 1182.9±337.0 MB/s, size: 1333.9 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/labels/license_plate/ar01_01.cache... 160269 images, 0 backgrounds, 2 corrupt: 100% ━━━━━━━━━━━━ 160271/160271 317.1Mit/s 0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ar01_01/C-220930_08_AR01_01_N0023.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ar01_01/C-221011_13_AR01_01_N4945.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: 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\u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/ar09_01/C-220807_15_AR09_01_N0514.jpg: ignoring corrupt image/label: image file is truncated (107 bytes not processed)\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Training/images/license_plate/cr01_02/C-220827_16_CR01_02_N0098.jpg: ignoring corrupt image/label: image file is truncated (96 bytes not processed)\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 1014.6±261.7 MB/s, size: 1776.7 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/labels/license_plate/ar01_01.cache... 52168 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 52168/52168 98.1Mit/s 0.0s\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/images/license_plate/ar01_01/C-221030_13_AR01_01_N0451.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/images/license_plate/sr02_01/C-220921_13_SR02_01_N0664.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/images/license_plate/sr08_01/C-221026_17_SR08_01_N0368.jpg: 3 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/images/license_plate/sr10_01/C-221111_14_SR10_01_N2786.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/images/license_plate/sr10_01/C-221112_10_SR10_01_N3102.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/CCTV_car_or_licenseplate/data/Validation/images/license_plate/sr10_01/C-221112_13_SR10_01_N1269.jpg: 1 duplicate labels removed\n", + "Plotting labels to /home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0010546875), 63 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22\u001b[0m\n", + "Starting training for 200 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/200 18.1G 2.084 2.448 0.8108 125 640: 100% ━━━━━━━━━━━━ 1188/1188 2.1it/s 9:14<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.7sss\n", + " all 52168 159183 0.719 0.475 0.53 0.234\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/200 18G 1.587 0.7441 0.7597 115 640: 100% ━━━━━━━━━━━━ 1188/1188 2.2it/s 8:56<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.7sss\n", + " all 52168 159183 0.817 0.527 0.613 0.329\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/200 18G 1.474 0.6842 0.7541 108 640: 100% ━━━━━━━━━━━━ 1188/1188 1.7it/s 11:43<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:420.7sss\n", + " all 52168 159183 0.809 0.533 0.608 0.326\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/200 18G 1.389 0.6393 0.7508 123 640: 100% ━━━━━━━━━━━━ 1188/1188 1.7it/s 11:40<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:370.6sss\n", + " all 52168 159183 0.836 0.536 0.647 0.363\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/200 18G 1.327 0.6079 0.7478 100 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 12:49<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:420.5sss\n", + " all 52168 159183 0.846 0.564 0.674 0.391\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/200 18G 1.289 0.5872 0.7467 130 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:20<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:300.6sss\n", + " all 52168 159183 0.843 0.574 0.68 0.404\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/200 18G 1.26 0.5727 0.7452 133 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:09<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.6sss\n", + " all 52168 159183 0.848 0.57 0.674 0.388\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/200 18G 1.239 0.5616 0.7449 98 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 12:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.7sss\n", + " all 52168 159183 0.843 0.579 0.681 0.392\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/200 18G 1.224 0.5547 0.7435 119 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 12:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:380.6sss\n", + " all 52168 159183 0.843 0.583 0.685 0.396\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/200 18G 1.208 0.5464 0.7427 107 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:12<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.7sss\n", + " all 52168 159183 0.853 0.582 0.689 0.4\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 11/200 18G 1.196 0.5408 0.7427 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:22<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:410.7sss\n", + " all 52168 159183 0.848 0.582 0.689 0.404\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 12/200 18G 1.187 0.5344 0.7425 104 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:36<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:380.6sss\n", + " all 52168 159183 0.849 0.582 0.691 0.41\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 13/200 18G 1.179 0.5308 0.7421 122 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:55<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:380.7sss\n", + " all 52168 159183 0.847 0.584 0.693 0.409\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 14/200 18G 1.168 0.527 0.7418 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:56<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:330.6sss\n", + " all 52168 159183 0.851 0.584 0.692 0.409\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 15/200 18G 1.162 0.5224 0.7415 106 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:42<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.5sss\n", + " all 52168 159183 0.852 0.585 0.692 0.411\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 16/200 18G 1.155 0.519 0.7416 125 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:38<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:270.5sss\n", + " all 52168 159183 0.852 0.585 0.693 0.411\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 17/200 18G 1.147 0.514 0.741 106 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:29<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.852 0.586 0.695 0.411\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 18/200 18G 1.143 0.5129 0.7403 147 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:47<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.852 0.586 0.695 0.412\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 19/200 18G 1.139 0.5106 0.7407 135 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:24<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:390.6sss\n", + " all 52168 159183 0.852 0.586 0.696 0.412\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 20/200 18G 1.134 0.5083 0.7402 106 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:08<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.5sss\n", + " all 52168 159183 0.853 0.587 0.697 0.412\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 21/200 18G 1.13 0.5055 0.7408 113 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:10<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.7sss\n", + " all 52168 159183 0.853 0.587 0.699 0.414\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 22/200 18G 1.126 0.5043 0.7398 134 640: 100% ━━━━━━━━━━━━ 1188/1188 1.6it/s 12:41<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:300.7sss\n", + " all 52168 159183 0.853 0.588 0.7 0.414\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 23/200 18G 1.119 0.5009 0.7401 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:51<0.9s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.5sss\n", + " all 52168 159183 0.855 0.587 0.701 0.415\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 24/200 18G 1.118 0.4995 0.7397 120 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:39<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:300.6sss\n", + " all 52168 159183 0.854 0.588 0.702 0.416\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 25/200 18G 1.112 0.4975 0.74 124 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:17<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.855 0.588 0.703 0.416\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 26/200 18G 1.11 0.4956 0.7392 109 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:45<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.6sss\n", + " all 52168 159183 0.855 0.588 0.705 0.417\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 27/200 18G 1.108 0.4955 0.7395 116 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:42<0.9s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.857 0.589 0.707 0.418\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 28/200 18G 1.103 0.4925 0.7393 106 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:22<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.857 0.589 0.708 0.419\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 29/200 18G 1.102 0.4903 0.7399 101 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:36<0.9s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:370.6sss\n", + " all 52168 159183 0.857 0.59 0.709 0.419\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 30/200 18G 1.101 0.4911 0.7392 116 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:49<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.6sss\n", + " all 52168 159183 0.858 0.59 0.71 0.419\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 31/200 18G 1.097 0.4886 0.7395 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:54<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.7sss\n", + " all 52168 159183 0.857 0.591 0.711 0.42\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 32/200 18G 1.096 0.4877 0.7391 90 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:41<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:270.5sss\n", + " all 52168 159183 0.858 0.591 0.712 0.421\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 33/200 18G 1.094 0.4862 0.7389 122 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:31<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.858 0.591 0.712 0.421\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 34/200 18G 1.092 0.4857 0.7389 126 640: 100% ━━━━━━━━━━━━ 1188/1188 1.2it/s 15:58<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.6sss\n", + " all 52168 159183 0.859 0.591 0.712 0.422\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 35/200 18G 1.087 0.484 0.7386 102 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:35<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:370.6sss\n", + " all 52168 159183 0.86 0.591 0.713 0.423\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 36/200 18G 1.086 0.4836 0.7385 117 640: 100% ━━━━━━━━━━━━ 1188/1188 1.6it/s 12:42<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.6sss\n", + " all 52168 159183 0.859 0.592 0.714 0.423\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 37/200 18G 1.084 0.4811 0.7389 97 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:46<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:430.6sss\n", + " all 52168 159183 0.86 0.592 0.715 0.424\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 38/200 18G 1.079 0.4805 0.7381 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:34<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:310.6sss\n", + " all 52168 159183 0.86 0.593 0.716 0.425\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 39/200 18.4G 1.078 0.479 0.7387 110 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:02<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.5sss\n", + " all 52168 159183 0.86 0.593 0.716 0.426\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 40/200 18G 1.077 0.4789 0.739 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:05<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:290.6sss\n", + " all 52168 159183 0.86 0.593 0.716 0.426\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 41/200 18G 1.075 0.4763 0.7384 107 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:10<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:330.6sss\n", + " all 52168 159183 0.86 0.593 0.716 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 42/200 18G 1.074 0.4767 0.7384 98 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:02<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:300.6sss\n", + " all 52168 159183 0.861 0.593 0.717 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 43/200 18G 1.072 0.4752 0.7387 90 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:24<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:380.6sss\n", + " all 52168 159183 0.862 0.593 0.717 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 44/200 18G 1.073 0.4763 0.7384 102 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:18<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:380.6sss\n", + " all 52168 159183 0.863 0.593 0.717 0.43\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 45/200 18G 1.069 0.4748 0.7379 118 640: 100% ━━━━━━━━━━━━ 1188/1188 1.2it/s 16:39<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.7sss\n", + " all 52168 159183 0.863 0.593 0.718 0.431\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 46/200 18G 1.066 0.4747 0.7382 91 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:58<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:290.6sss\n", + " all 52168 159183 0.863 0.594 0.718 0.431\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 47/200 18G 1.067 0.4751 0.738 95 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:33<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:400.8sss\n", + " all 52168 159183 0.862 0.593 0.718 0.431\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 48/200 18G 1.065 0.4724 0.738 130 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:33<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:310.5sss\n", + " all 52168 159183 0.862 0.593 0.718 0.432\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 49/200 18G 1.065 0.4726 0.7379 126 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:53<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:400.6sss\n", + " all 52168 159183 0.861 0.593 0.717 0.43\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 50/200 18G 1.062 0.4712 0.7381 113 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:60<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:330.6sss\n", + " all 52168 159183 0.862 0.593 0.718 0.431\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 51/200 18G 1.06 0.4701 0.7381 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:09<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:370.5sss\n", + " all 52168 159183 0.862 0.593 0.717 0.431\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 52/200 18G 1.057 0.4692 0.7378 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:09<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.6sss\n", + " all 52168 159183 0.862 0.593 0.717 0.43\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 53/200 18G 1.059 0.4697 0.7379 116 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:18<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.6sss\n", + " all 52168 159183 0.862 0.592 0.717 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 54/200 18G 1.056 0.4684 0.7376 113 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:22<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:300.6sss\n", + " all 52168 159183 0.861 0.593 0.717 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 55/200 18G 1.054 0.4668 0.7376 108 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:37<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.8sss\n", + " all 52168 159183 0.862 0.592 0.717 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 56/200 18G 1.052 0.466 0.7376 127 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:25<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.6sss\n", + " all 52168 159183 0.862 0.592 0.717 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 57/200 18G 1.052 0.4661 0.7377 105 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:07<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.8it/s 1:460.6sss\n", + " all 52168 159183 0.862 0.592 0.717 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 58/200 18G 1.051 0.466 0.7374 112 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:27<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:330.7sss\n", + " all 52168 159183 0.863 0.592 0.717 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 59/200 18G 1.05 0.4645 0.7374 92 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:48<0.9s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.864 0.591 0.717 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 60/200 18G 1.049 0.4646 0.7376 116 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:09<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:330.6sss\n", + " all 52168 159183 0.863 0.591 0.717 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 61/200 18G 1.047 0.4628 0.738 122 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:25<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.6sss\n", + " all 52168 159183 0.863 0.591 0.717 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 62/200 18G 1.046 0.4625 0.7376 101 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:42<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:350.6sss\n", + " all 52168 159183 0.862 0.591 0.717 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 63/200 18G 1.045 0.462 0.7374 126 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:60<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.5sss\n", + " all 52168 159183 0.862 0.591 0.717 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 64/200 18G 1.047 0.4633 0.7374 110 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:19<0.9s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.4sss\n", + " all 52168 159183 0.861 0.591 0.718 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 65/200 18G 1.046 0.4622 0.7374 126 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:07<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.5sss\n", + " all 52168 159183 0.86 0.592 0.717 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 66/200 18G 1.044 0.4623 0.737 103 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:59<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:330.6sss\n", + " all 52168 159183 0.86 0.591 0.717 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 67/200 18G 1.042 0.4612 0.7373 113 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:20<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:370.5sss\n", + " all 52168 159183 0.86 0.591 0.717 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 68/200 18G 1.04 0.4606 0.7373 111 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:09<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.7sss\n", + " all 52168 159183 0.859 0.592 0.717 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 69/200 18G 1.04 0.4602 0.7374 107 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:13<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:410.7sss\n", + " all 52168 159183 0.859 0.592 0.718 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 70/200 18G 1.036 0.4588 0.7374 122 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:04<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:340.7sss\n", + " all 52168 159183 0.859 0.592 0.718 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 71/200 18G 1.036 0.4582 0.7371 93 640: 100% ━━━━━━━━━━━━ 1188/1188 1.5it/s 13:38<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:400.6sss\n", + " all 52168 159183 0.859 0.592 0.717 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 72/200 18G 1.038 0.4582 0.7371 119 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:37<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.5sss\n", + " all 52168 159183 0.859 0.592 0.718 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 73/200 18G 1.034 0.4574 0.7373 93 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:48<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.6sss\n", + " all 52168 159183 0.86 0.592 0.718 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 74/200 18G 1.036 0.4579 0.7369 103 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:12<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:350.6sss\n", + " all 52168 159183 0.86 0.592 0.719 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 75/200 18G 1.034 0.4565 0.7368 112 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:55<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:420.6sss\n", + " all 52168 159183 0.861 0.593 0.719 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 76/200 18G 1.034 0.4559 0.7372 122 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:49<1.0s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:400.6sss\n", + " all 52168 159183 0.862 0.593 0.719 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 77/200 18G 1.034 0.4562 0.7368 117 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:55<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 1.9it/s 1:420.6sss\n", + " all 52168 159183 0.862 0.593 0.719 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 78/200 18G 1.032 0.4559 0.7368 122 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:59<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:310.6sss\n", + " all 52168 159183 0.861 0.593 0.719 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 79/200 18G 1.03 0.4553 0.7373 112 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:49<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:310.6sss\n", + " all 52168 159183 0.862 0.593 0.719 0.427\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 80/200 18G 1.03 0.4559 0.7374 131 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 14:44<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:290.5sss\n", + " all 52168 159183 0.862 0.593 0.72 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 81/200 18G 1.028 0.4541 0.7364 105 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:33<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.7sss\n", + " all 52168 159183 0.862 0.593 0.719 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 82/200 18G 1.028 0.4541 0.7371 110 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:25<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.2it/s 1:300.6sss\n", + " all 52168 159183 0.862 0.593 0.72 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 83/200 18G 1.027 0.4526 0.7366 98 640: 100% ━━━━━━━━━━━━ 1188/1188 1.3it/s 15:05<0.9s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:390.6sss\n", + " all 52168 159183 0.862 0.593 0.72 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 84/200 18G 1.028 0.4533 0.7365 99 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:21<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.7sss\n", + " all 52168 159183 0.862 0.592 0.72 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 85/200 18G 1.027 0.4521 0.7367 101 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:48<0.9s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.0it/s 1:360.6sss\n", + " all 52168 159183 0.862 0.592 0.72 0.428\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 86/200 18G 1.025 0.4525 0.7364 108 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 14:24<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.6sss\n", + " all 52168 159183 0.862 0.593 0.72 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 87/200 18G 1.023 0.4501 0.7367 91 640: 100% ━━━━━━━━━━━━ 1188/1188 1.4it/s 13:48<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:310.5sss\n", + " all 52168 159183 0.861 0.593 0.72 0.429\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 88/200 18G 1.023 0.451 0.7363 129 640: 100% ━━━━━━━━━━━━ 1188/1188 1.2it/s 16:46<0.8s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.1it/s 1:320.7sss\n", + " all 52168 159183 0.861 0.593 0.721 0.429\n", + "\u001b[34m\u001b[1mEarlyStopping: \u001b[0mTraining stopped early as no improvement observed in last 40 epochs. Best results observed at epoch 48, best model saved as best.pt.\n", + "To update EarlyStopping(patience=40) pass a new patience value, i.e. `patience=300` or use `patience=0` to disable EarlyStopping.\n", + "\n", + "88 epochs completed in 23.032 hours.\n", + "Optimizer stripped from /home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22/weights/last.pt, 6.2MB\n", + "Optimizer stripped from /home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22/weights/best.pt, 6.2MB\n", + "\n", + "Validating /home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22/weights/best.pt...\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 194/194 2.3it/s 1:230.4sss\n", + " all 52168 159183 0.862 0.593 0.718 0.431\n", + "Speed: 0.0ms preprocess, 0.2ms inference, 0.0ms loss, 0.3ms postprocess per image\n", + "Results saved to \u001b[1m/home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22\u001b[0m\n" + ] + } + ], + "source": [ + "# Load a pretrained YOLO11n model\n", + "model = YOLO(\"yolov8n.pt\")\n", + "\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/custom_LP_detect/custom_LP.yaml\",\n", + " epochs=200,\n", + " imgsz=640,\n", + " batch= -1,\n", + " device=\"cuda\",\n", + " optimizer = 'AdamW',\n", + " lr0 = 0.001,\n", + " patience = 40,\n", + " project = 'lp_detect',\n", + " name = 'epo_200_frac_0_2',\n", + " fraction = 0.2\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "88d6a47e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YOLOv8n summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/custom_LP_detect/license_plate_detector.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 5, 8400) (6.0 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 0.3s, saved as '/home/cuuva/experiment/custom_LP_detect/license_plate_detector.onnx' (11.7 MB)\n", + "\n", + "Export complete (0.4s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/custom_LP_detect\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/custom_LP_detect/license_plate_detector.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/custom_LP_detect/license_plate_detector.onnx imgsz=640 data=config.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/custom_LP_detect/license_plate_detector.onnx'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# model = YOLO(\"/home/cuuva/experiment/custom_LP_detect/lp_detect/epo_200_frac_0_22/weights/best_lp_detect.pt\")\n", + "model = YOLO(\"/home/cuuva/experiment/custom_LP_detect/license_plate_detector.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0084e5f9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/fashion_yolo/aihub_dataset_eda.ipynb b/fashion_yolo/aihub_dataset_eda.ipynb new file mode 100644 index 0000000..86b1ed3 --- /dev/null +++ b/fashion_yolo/aihub_dataset_eda.ipynb @@ -0,0 +1,156 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "fc523237", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================= CLASS STATISTICS =================\n", + "\n", + "📁 Training Dataset\n", + " [0] BLOUSE 👉 9014 개\n", + " [1] COAT 👉 9949 개\n", + " [2] DRESS 👉 10173 개\n", + " [3] JACKET 👉 10466 개\n", + " [4] JUMPER 👉 21893 개\n", + " [5] PANTS 👉 69937 개\n", + " [6] SHIRTS 👉 13438 개\n", + " [7] SKIRT 👉 18156 개\n", + " [8] TSHIRTS 👉 45025 개\n", + "\n", + "\n", + "📁 Validation Dataset\n", + " [0] BLOUSE 👉 1127 개\n", + " [1] COAT 👉 1242 개\n", + " [2] DRESS 👉 1270 개\n", + " [3] JACKET 👉 1309 개\n", + " [4] JUMPER 👉 2737 개\n", + " [5] PANTS 👉 8741 개\n", + " [6] SHIRTS 👉 1681 개\n", + " [7] SKIRT 👉 2269 개\n", + " [8] TSHIRTS 👉 5624 개\n", + "\n", + "\n", + "=============== TOTAL SUMMARY ===============\n", + "\n", + " [0] BLOUSE 👉 10141 total\n", + " [1] COAT 👉 11191 total\n", + " [2] DRESS 👉 11443 total\n", + " [3] JACKET 👉 11775 total\n", + " [4] JUMPER 👉 24630 total\n", + " [5] PANTS 👉 78678 total\n", + " [6] SHIRTS 👉 15119 total\n", + " [7] SKIRT 👉 20425 total\n", + " [8] TSHIRTS 👉 50649 total\n" + ] + } + ], + "source": [ + "import os\n", + "from collections import defaultdict\n", + "\n", + "# ---- CLASS MAP (사용자가 정의한 클래스) ----\n", + "CLASS_MAP = {\n", + " \"0\": \"BLOUSE\",\n", + " \"1\": \"COAT\",\n", + " \"2\": \"DRESS\",\n", + " \"3\": \"JACKET\",\n", + " \"4\": \"JUMPER\",\n", + " \"5\": \"PANTS\",\n", + " \"6\": \"SHIRTS\",\n", + " \"7\": \"SKIRT\",\n", + " \"8\": \"TSHIRTS\"\n", + "}\n", + "\n", + "# ---- 데이터 경로 ----\n", + "DATASETS = {\n", + " \"Training\": \"/home/cuuva/aihub_car/clothes_dataset/Training/labels_txt\",\n", + " \"Validation\": \"/home/cuuva/aihub_car/clothes_dataset/Validation/labels_txt\"\n", + "}\n", + "\n", + "\n", + "def count_classes(path):\n", + " class_count = defaultdict(int)\n", + "\n", + " for root, _, files in os.walk(path):\n", + " for file in files:\n", + " if file.endswith(\".txt\"):\n", + " file_path = os.path.join(root, file)\n", + "\n", + " with open(file_path, \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " for line in lines:\n", + " if line.strip():\n", + " class_id = line.split()[0]\n", + " class_count[class_id] += 1\n", + "\n", + " # 정렬\n", + " return dict(sorted(class_count.items(), key=lambda x: int(x[0])))\n", + "\n", + "\n", + "# ---- 실행 ----\n", + "results = {}\n", + "for name, path in DATASETS.items():\n", + " results[name] = count_classes(path)\n", + "\n", + "print(\"\\n================= CLASS STATISTICS =================\\n\")\n", + "\n", + "# ---- 상세 출력 ----\n", + "for dataset_name, counts in results.items():\n", + " print(f\"📁 {dataset_name} Dataset\")\n", + " for cls_id, count in counts.items():\n", + " cls_name = CLASS_MAP.get(cls_id, \"UNKNOWN\")\n", + " print(f\" [{cls_id}] {cls_name:<10} 👉 {count} 개\")\n", + " print(\"\\n\")\n", + "\n", + "\n", + "# ---- Summary 합산 ----\n", + "print(\"=============== TOTAL SUMMARY ===============\\n\")\n", + "total = defaultdict(int)\n", + "\n", + "for r in results.values():\n", + " for cls_id, cnt in r.items():\n", + " total[cls_id] += cnt\n", + "\n", + "for cls_id, cnt in sorted(total.items(), key=lambda x: int(x[0])):\n", + " print(f\" [{cls_id}] {CLASS_MAP[cls_id]:<10} 👉 {cnt} total\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "62ada642", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/fashion_yolo/aihub_exp.ipynb b/fashion_yolo/aihub_exp.ipynb new file mode 100644 index 0000000..798369e --- /dev/null +++ b/fashion_yolo/aihub_exp.ipynb @@ -0,0 +1,8225 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "263a619c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.235 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/fashion_yolo/aihub_fashion.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=200, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8s.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=yolov8s_fashion, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=40, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=aihub_exp, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/fashion_yolo/aihub_exp/yolov8s_fashion, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=9\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 928 ultralytics.nn.modules.conv.Conv [3, 32, 3, 2] \n", + " 1 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2] \n", + " 2 -1 1 29056 ultralytics.nn.modules.block.C2f [64, 64, 1, True] \n", + " 3 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n", + " 4 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True] \n", + " 5 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n", + " 6 -1 2 788480 ultralytics.nn.modules.block.C2f [256, 256, 2, True] \n", + " 7 -1 1 1180672 ultralytics.nn.modules.conv.Conv [256, 512, 3, 2] \n", + " 8 -1 1 1838080 ultralytics.nn.modules.block.C2f [512, 512, 1, True] \n", + " 9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 1 591360 ultralytics.nn.modules.block.C2f [768, 256, 1] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1] \n", + " 16 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1] \n", + " 19 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 1 1969152 ultralytics.nn.modules.block.C2f [768, 512, 1] \n", + " 22 [15, 18, 21] 1 2119531 ultralytics.nn.modules.head.Detect [9, [128, 256, 512]] \n", + "Model summary: 129 layers, 11,139,083 parameters, 11,139,067 gradients, 28.7 GFLOPs\n", + "\n", + "Transferred 349/355 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 21065.6±11622.9 MB/s, size: 2073.5 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/aihub_car/clothes_dataset/Training/labels/task1_yolo_dispose_BLOUSE.cache... 80000 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 80000/80000 166.9Mit/s 0.0s\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.36G total, 0.17G reserved, 0.11G allocated, 31.07G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cuuva/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 11139083 28.66 1.715 27.4 131.9 (1, 3, 640, 640) list\n", + " 11139083 57.33 2.252 5.365 23.35 (2, 3, 640, 640) list\n", + " 11139083 114.7 2.412 6.467 27.61 (4, 3, 640, 640) list\n", + " 11139083 229.3 3.446 8.65 36.54 (8, 3, 640, 640) list\n", + " 11139083 458.6 6.088 13.39 58.79 (16, 3, 640, 640) list\n", + " 11139083 917.3 10.503 27.94 98.08 (32, 3, 640, 640) list\n", + " 11139083 1835 19.724 57.47 183.7 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 61 for CUDA:0 19.12G/31.36G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 12772.5±4201.8 MB/s, size: 3291.8 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/aihub_car/clothes_dataset/Training/labels/task1_yolo_dispose_BLOUSE.cache... 80000 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 80000/80000 163.0Mit/s 0.0s\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 1093.3±76.4 MB/s, size: 2293.4 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/aihub_car/clothes_dataset/Validation/labels/task1_yolo_dispose_BLOUSE.cache... 10000 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 10000/10000 16.2Mit/s 0.0s\n", + "Plotting labels to /home/cuuva/experiment/fashion_yolo/aihub_exp/yolov8s_fashion/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0004765625), 63 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/fashion_yolo/aihub_exp/yolov8s_fashion\u001b[0m\n", + "Starting training for 200 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/200 15.4G 0.3159 0.7355 0.97 75 640: 100% ━━━━━━━━━━━━ 1312/1312 2.5it/s 8:41<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.9it/s 16.9s0.2s\n", + " all 10000 10000 0.787 0.783 0.833 0.8\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/200 15.4G 0.3112 0.5777 0.9604 79 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:10<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.1it/s 19.8s0.2ss\n", + " all 10000 10000 0.735 0.789 0.856 0.848\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/200 15.4G 0.2982 0.5394 0.9531 67 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:12<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 3.7it/s 22.1s0.3s\n", + " all 10000 10000 0.842 0.85 0.912 0.905\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/200 15.4G 0.2806 0.4979 0.946 81 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:15<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.1it/s 20.0s0.2s\n", + " all 10000 10000 0.88 0.877 0.934 0.932\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/200 15.4G 0.2685 0.4621 0.9404 72 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:13<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.4it/s 18.6s0.2s\n", + " all 10000 10000 0.882 0.898 0.945 0.944\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/200 15.4G 0.2589 0.4416 0.9363 70 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:12<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.5it/s 18.3s0.2s\n", + " all 10000 10000 0.905 0.896 0.95 0.949\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/200 15.4G 0.2526 0.4271 0.9336 67 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:10<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.7it/s 17.4s0.2s\n", + " all 10000 10000 0.898 0.912 0.956 0.956\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/200 15.4G 0.249 0.4116 0.9327 80 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:11<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.7it/s 17.5s0.2s\n", + " all 10000 10000 0.912 0.909 0.959 0.959\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/200 15.4G 0.2472 0.4026 0.9319 79 640: 100% ━━━━━━━━━━━━ 1312/1312 2.6it/s 8:16<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.5it/s 18.3s0.2s\n", + " all 10000 10000 0.904 0.92 0.96 0.96\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/200 15.4G 0.2414 0.3935 0.9288 75 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:13<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.7it/s 17.5s0.3s\n", + " all 10000 10000 0.917 0.913 0.961 0.961\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 11/200 15.4G 0.2369 0.3808 0.927 73 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:14<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.4it/s 18.6s0.2s\n", + " all 10000 10000 0.914 0.915 0.963 0.963\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 12/200 15.4G 0.2347 0.3767 0.9259 78 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:13<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.4it/s 18.5s0.2s\n", + " all 10000 10000 0.914 0.914 0.964 0.963\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 13/200 15.4G 0.2325 0.3699 0.9249 86 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:15<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.5it/s 18.4s0.2s\n", + " all 10000 10000 0.902 0.927 0.964 0.964\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 14/200 15.4G 0.2305 0.3635 0.9247 87 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:13<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 3.9it/s 21.1s0.3s\n", + " all 10000 10000 0.914 0.918 0.964 0.964\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 15/200 15.4G 0.228 0.3587 0.9233 74 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:14<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.4it/s 18.7s0.2s\n", + " all 10000 10000 0.917 0.918 0.964 0.964\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 16/200 15.4G 0.2273 0.3549 0.9228 69 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:12<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.3it/s 18.9s0.3s\n", + " all 10000 10000 0.915 0.92 0.964 0.964\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 17/200 15.4G 0.2274 0.3507 0.9232 74 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:14<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.3it/s 19.2s0.3s\n", + " all 10000 10000 0.918 0.917 0.965 0.964\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 18/200 15.4G 0.2268 0.3474 0.9235 67 640: 100% ━━━━━━━━━━━━ 1312/1312 2.6it/s 8:15<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.2it/s 19.5s0.2s\n", + " all 10000 10000 0.915 0.918 0.965 0.964\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 19/200 15.4G 0.2242 0.3439 0.9217 70 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:13<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.2it/s 19.7s0.2s\n", + " all 10000 10000 0.913 0.92 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 20/200 15.4G 0.2234 0.3396 0.9218 87 640: 100% ━━━━━━━━━━━━ 1312/1312 2.6it/s 8:16<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 3.9it/s 21.1s0.2s\n", + " all 10000 10000 0.905 0.927 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 21/200 15.4G 0.2216 0.3376 0.9203 82 640: 100% ━━━━━━━━━━━━ 1312/1312 2.6it/s 8:16<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.1it/s 19.8s0.2s\n", + " all 10000 10000 0.909 0.922 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 22/200 15.4G 0.2208 0.3317 0.9208 76 640: 100% ━━━━━━━━━━━━ 1312/1312 2.6it/s 8:16<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.1it/s 20.1s0.3s\n", + " all 10000 10000 0.909 0.924 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 23/200 15.4G 0.221 0.3307 0.9208 76 640: 100% ━━━━━━━━━━━━ 1312/1312 2.6it/s 8:16<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.0it/s 20.3s0.3s\n", + " all 10000 10000 0.907 0.925 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 24/200 15.4G inf 0.3275 0.9202 69 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:14<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.0it/s 20.3s0.3s\n", + " all 10000 10000 0.909 0.923 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 25/200 15.4G 0.2193 0.3237 0.9201 77 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:13<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 3.9it/s 21.2s0.3s\n", + " all 10000 10000 0.917 0.918 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 26/200 15.4G 0.2178 0.3203 0.9188 74 640: 100% ━━━━━━━━━━━━ 1312/1312 2.7it/s 8:14<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 82/82 4.3it/s 19.3s0.3s\n", + " all 10000 10000 0.916 0.919 0.965 0.965\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 27/200 15.4G 0.2203 0.3182 0.9208 151 640: 22% ━━╸───────── 287/1312 3.6it/s 1:59<4:438\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 8\u001b[0m\n\u001b[1;32m 4\u001b[0m model \u001b[38;5;241m=\u001b[39m YOLO(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124myolov8s.pt\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m# 2. 학습 실행\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# 위에서 생성된 yaml 파일 경로를 넣어줍니다.\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m train_results \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/home/cuuva/experiment/fashion_yolo/aihub_fashion.yaml\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mepochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Fashionpedia는 데이터가 많고 복잡해서 epoch을 조절해야 할 수도 있어\u001b[39;49;00m\n\u001b[1;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mimgsz\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m640\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 12\u001b[0m \u001b[43m \u001b[49m\u001b[43mbatch\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# GPU 메모리에 맞춰 조절 (-1은 AutoBatch)\u001b[39;49;00m\n\u001b[1;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43mdevice\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcuda\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43moptimizer\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mAdamW\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 15\u001b[0m \u001b[43m \u001b[49m\u001b[43mlr0\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.001\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 16\u001b[0m \u001b[43m \u001b[49m\u001b[43mpatience\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m40\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 17\u001b[0m \u001b[43m \u001b[49m\u001b[43mproject\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43maihub_exp\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 18\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43myolov8s_fashion\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 19\u001b[0m \u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/engine/model.py:777\u001b[0m, in \u001b[0;36mModel.train\u001b[0;34m(self, trainer, **kwargs)\u001b[0m\n\u001b[1;32m 774\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrainer\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrainer\u001b[38;5;241m.\u001b[39mget_model(weights\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mckpt \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m, cfg\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel\u001b[38;5;241m.\u001b[39myaml)\n\u001b[1;32m 775\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrainer\u001b[38;5;241m.\u001b[39mmodel\n\u001b[0;32m--> 777\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 778\u001b[0m \u001b[38;5;66;03m# Update model and cfg after training\u001b[39;00m\n\u001b[1;32m 779\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m RANK \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m0\u001b[39m}:\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/engine/trainer.py:238\u001b[0m, in \u001b[0;36mBaseTrainer.train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 235\u001b[0m ddp_cleanup(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28mstr\u001b[39m(file))\n\u001b[1;32m 237\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 238\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_train\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/engine/trainer.py:431\u001b[0m, in \u001b[0;36mBaseTrainer._do_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 429\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mscaler\u001b[38;5;241m.\u001b[39mscale(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloss)\u001b[38;5;241m.\u001b[39mbackward()\n\u001b[1;32m 430\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ni \u001b[38;5;241m-\u001b[39m last_opt_step \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maccumulate:\n\u001b[0;32m--> 431\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimizer_step\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 432\u001b[0m last_opt_step \u001b[38;5;241m=\u001b[39m ni\n\u001b[1;32m 434\u001b[0m \u001b[38;5;66;03m# Timed stopping\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/engine/trainer.py:678\u001b[0m, in \u001b[0;36mBaseTrainer.optimizer_step\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 676\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mscaler\u001b[38;5;241m.\u001b[39munscale_(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptimizer) \u001b[38;5;66;03m# unscale gradients\u001b[39;00m\n\u001b[1;32m 677\u001b[0m torch\u001b[38;5;241m.\u001b[39mnn\u001b[38;5;241m.\u001b[39mutils\u001b[38;5;241m.\u001b[39mclip_grad_norm_(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel\u001b[38;5;241m.\u001b[39mparameters(), max_norm\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m10.0\u001b[39m)\n\u001b[0;32m--> 678\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscaler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimizer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 679\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mscaler\u001b[38;5;241m.\u001b[39mupdate()\n\u001b[1;32m 680\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptimizer\u001b[38;5;241m.\u001b[39mzero_grad()\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/torch/amp/grad_scaler.py:462\u001b[0m, in \u001b[0;36mGradScaler.step\u001b[0;34m(self, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m 456\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39munscale_(optimizer)\n\u001b[1;32m 458\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(optimizer_state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfound_inf_per_device\u001b[39m\u001b[38;5;124m\"\u001b[39m]) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m, (\n\u001b[1;32m 459\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo inf checks were recorded for this optimizer.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 460\u001b[0m )\n\u001b[0;32m--> 462\u001b[0m retval \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_maybe_opt_step\u001b[49m\u001b[43m(\u001b[49m\u001b[43moptimizer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moptimizer_state\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 464\u001b[0m optimizer_state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstage\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m OptState\u001b[38;5;241m.\u001b[39mSTEPPED\n\u001b[1;32m 466\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m retval\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/torch/amp/grad_scaler.py:356\u001b[0m, in \u001b[0;36mGradScaler._maybe_opt_step\u001b[0;34m(self, optimizer, optimizer_state, *args, **kwargs)\u001b[0m\n\u001b[1;32m 348\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_maybe_opt_step\u001b[39m(\n\u001b[1;32m 349\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 350\u001b[0m optimizer: torch\u001b[38;5;241m.\u001b[39moptim\u001b[38;5;241m.\u001b[39mOptimizer,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 353\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m 354\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Optional[\u001b[38;5;28mfloat\u001b[39m]:\n\u001b[1;32m 355\u001b[0m retval: Optional[\u001b[38;5;28mfloat\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 356\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;43msum\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitem\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43moptimizer_state\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfound_inf_per_device\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m 357\u001b[0m retval \u001b[38;5;241m=\u001b[39m optimizer\u001b[38;5;241m.\u001b[39mstep(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 358\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m retval\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/torch/amp/grad_scaler.py:356\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 348\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_maybe_opt_step\u001b[39m(\n\u001b[1;32m 349\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 350\u001b[0m optimizer: torch\u001b[38;5;241m.\u001b[39moptim\u001b[38;5;241m.\u001b[39mOptimizer,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 353\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m 354\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Optional[\u001b[38;5;28mfloat\u001b[39m]:\n\u001b[1;32m 355\u001b[0m retval: Optional[\u001b[38;5;28mfloat\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 356\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28msum\u001b[39m(\u001b[43mv\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitem\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m optimizer_state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfound_inf_per_device\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues()):\n\u001b[1;32m 357\u001b[0m retval \u001b[38;5;241m=\u001b[39m optimizer\u001b[38;5;241m.\u001b[39mstep(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 358\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m retval\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "# 1. 모델 로드 (YOLOv8m 사용)\n", + "model = YOLO('yolov8s.pt')\n", + "\n", + "# 2. 학습 실행\n", + "# 위에서 생성된 yaml 파일 경로를 넣어줍니다.\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/fashion_yolo/aihub_fashion.yaml\", \n", + " epochs=200, # Fashionpedia는 데이터가 많고 복잡해서 epoch을 조절해야 할 수도 있어\n", + " imgsz=640,\n", + " batch=-1, # GPU 메모리에 맞춰 조절 (-1은 AutoBatch)\n", + " device=\"cuda\",\n", + " optimizer='AdamW',\n", + " lr0=0.001,\n", + " patience=40,\n", + " project='aihub_exp',\n", + " name='yolov8s_fashion',\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b45cbf28", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔄 Inference 시작...\n", + "🎉 완료! 저장 위치: /home/cuuva/다운로드/infer_clothes.mp4\n" + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "import cv2\n", + "\n", + "# ---- 경로 설정 ----\n", + "model_path = \"/home/cuuva/experiment/fashion_yolo/aihub_exp/yolov8s_fashion/weights/best.pt\"\n", + "input_video_path = \"/home/cuuva/다운로드/face_recog.MOV\"\n", + "output_video_path = \"/home/cuuva/다운로드/infer_clothes.mp4\"\n", + "\n", + "# ---- 모델 로드 ----\n", + "model = YOLO(model_path)\n", + "\n", + "# ---- 입력 영상 로드 ----\n", + "cap = cv2.VideoCapture(input_video_path)\n", + "\n", + "# 영상 정보 읽기\n", + "fps = cap.get(cv2.CAP_PROP_FPS)\n", + "width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n", + "height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n", + "\n", + "# ---- 출력 영상 저장 설정 ----\n", + "fourcc = cv2.VideoWriter_fourcc(*\"mp4v\")\n", + "out = cv2.VideoWriter(output_video_path, fourcc, fps, (width, height))\n", + "\n", + "print(f\"🔄 Inference 시작...\")\n", + "\n", + "while cap.isOpened():\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " # ---- YOLO 추론 ----\n", + " results = model(frame, verbose=False)\n", + "\n", + " # YOLO 결과 이미지 렌더링\n", + " annotated_frame = results[0].plot()\n", + "\n", + " # ---- 영상 저장 ----\n", + " out.write(annotated_frame)\n", + "\n", + "# ---- 자원 정리 ----\n", + "cap.release()\n", + "out.release()\n", + "\n", + "print(f\"🎉 완료! 저장 위치: {output_video_path}\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "f338c8c1", + "metadata": {}, + "source": [ + "# AIHUB로 Inference하면 성능 개차반. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e8a7e835", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 이미지 검사 중...\n", + "📌 조건 충족 이미지 개수: 45533 개\n", + "📦 최종 복사할 이미지 수: 300\n", + "\n", + "🎉 완료! 양자화용 데이터가 준비됨.\n", + "📁 저장 위치 → /home/cuuva/다운로드/quan_fashion_face/external1\n" + ] + } + ], + "source": [ + "import os\n", + "import random\n", + "import shutil\n", + "from PIL import Image\n", + "\n", + "# ---- 경로 설정 ----\n", + "dataset_root = \"/home/cuuva/experiment/datasets/fashionpedia_yolo\"\n", + "image_dir = os.path.join(dataset_root, \"images/train/\")\n", + "label_dir = os.path.join(dataset_root, \"labels/train/\")\n", + "\n", + "output_dir = \"/home/cuuva/다운로드/quan_fashion_face/external1\"\n", + "os.makedirs(output_dir, exist_ok=True)\n", + "\n", + "# ---- 필터 기준 ----\n", + "MIN_RESOLUTION = 300 # 최소 해상도 조건\n", + "REQUIRED_COUNT = 300 # 최종 복사 개수\n", + "\n", + "valid_images = []\n", + "\n", + "print(\"🔍 이미지 검사 중...\")\n", + "\n", + "for img_name in os.listdir(image_dir):\n", + " if not img_name.lower().endswith((\".jpg\", \".jpeg\", \".png\")):\n", + " continue\n", + "\n", + " img_path = os.path.join(image_dir, img_name)\n", + " label_path = os.path.join(label_dir, os.path.splitext(img_name)[0] + \".txt\")\n", + "\n", + " # 1) 라벨 파일 존재하는지\n", + " if not os.path.exists(label_path):\n", + " continue\n", + "\n", + " # 2) 라벨에 객체가 1개 이상인지\n", + " with open(label_path, \"r\") as f:\n", + " lines = f.readlines()\n", + " if len(lines) == 0:\n", + " continue\n", + "\n", + " # 3) 해상도 체크\n", + " try:\n", + " img = Image.open(img_path)\n", + " w, h = img.size\n", + " if min(w, h) < MIN_RESOLUTION:\n", + " continue\n", + " except:\n", + " continue\n", + "\n", + " valid_images.append(img_path)\n", + "\n", + "print(f\"📌 조건 충족 이미지 개수: {len(valid_images)} 개\")\n", + "\n", + "# ---- 300장 샘플링 ----\n", + "if len(valid_images) < REQUIRED_COUNT:\n", + " print(f\"⚠️ 조건 맞는 이미지가 {REQUIRED_COUNT}개보다 적습니다. ({len(valid_images)}개)\")\n", + " sample_images = valid_images # 가능한 만큼만 복사\n", + "else:\n", + " sample_images = random.sample(valid_images, REQUIRED_COUNT)\n", + "\n", + "print(f\"📦 최종 복사할 이미지 수: {len(sample_images)}\")\n", + "\n", + "# ---- 복사 실행 ----\n", + "for img_path in sample_images:\n", + " shutil.copy(img_path, output_dir)\n", + "\n", + "print(\"\\n🎉 완료! 양자화용 데이터가 준비됨.\")\n", + "print(f\"📁 저장 위치 → {output_dir}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "08f995f3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 이미지 검사 중...\n", + "\n", + "📌 가로(W>H) 이미지: 5263개\n", + "📌 세로(H>W) 이미지: 40341개\n", + "\n", + "🎯 목표 비율 → Wide: 300장 / Tall: 0장\n", + "\n", + "📦 최종 선택된 이미지 수: 300\n", + "\n", + "🎉 완료! 비율 조정된 양자화용 이미지셋 생성됨!\n", + "📁 저장 위치 → /home/cuuva/다운로드/quan_fashion_face/external1\n" + ] + } + ], + "source": [ + "import os\n", + "import random\n", + "import shutil\n", + "from PIL import Image\n", + "\n", + "# ---- 경로 설정 ----\n", + "dataset_root = \"/home/cuuva/experiment/datasets/fashionpedia_yolo\"\n", + "image_dir = os.path.join(dataset_root, \"images/train/\")\n", + "label_dir = os.path.join(dataset_root, \"labels/train/\")\n", + "\n", + "output_dir = \"/home/cuuva/다운로드/quan_fashion_face/external1\"\n", + "os.makedirs(output_dir, exist_ok=True)\n", + "\n", + "# ---- 필터 기준 ----\n", + "MIN_RESOLUTION = 300\n", + "REQUIRED_COUNT = 300\n", + "RATIO_TARGET_WIDE = 1 # 80%\n", + "RATIO_TARGET_TALL = 0 # 20%\n", + "\n", + "valid_wide_images = []\n", + "valid_tall_images = []\n", + "\n", + "print(\"🔍 이미지 검사 중...\")\n", + "\n", + "# ---- 이미지와 라벨 검증 ----\n", + "for img_name in os.listdir(image_dir):\n", + " if not img_name.lower().endswith((\".jpg\", \".jpeg\", \".png\")):\n", + " continue\n", + "\n", + " img_path = os.path.join(image_dir, img_name)\n", + " label_path = os.path.join(label_dir, os.path.splitext(img_name)[0] + \".txt\")\n", + "\n", + " if not os.path.exists(label_path):\n", + " continue\n", + "\n", + " try:\n", + " with open(label_path, \"r\") as f:\n", + " if len(f.readlines()) == 0:\n", + " continue\n", + "\n", + " img = Image.open(img_path)\n", + " w, h = img.size\n", + " if min(w, h) < MIN_RESOLUTION:\n", + " continue\n", + "\n", + " # ---- 가로/세로 비율 분류 ----\n", + " if w > h:\n", + " valid_wide_images.append(img_path)\n", + " else:\n", + " valid_tall_images.append(img_path)\n", + "\n", + " except Exception as e:\n", + " print(f\"⚠️ 오류 발생: {e}\")\n", + " continue\n", + "\n", + "print(f\"\\n📌 가로(W>H) 이미지: {len(valid_wide_images)}개\")\n", + "print(f\"📌 세로(H>W) 이미지: {len(valid_tall_images)}개\")\n", + "\n", + "# ---- 목표 개수 계산 ----\n", + "target_wide = int(REQUIRED_COUNT * RATIO_TARGET_WIDE)\n", + "target_tall = REQUIRED_COUNT - target_wide\n", + "\n", + "print(f\"\\n🎯 목표 비율 → Wide: {target_wide}장 / Tall: {target_tall}장\")\n", + "\n", + "# 부족하면 가능한 만큼만\n", + "selected_wide = random.sample(valid_wide_images, min(len(valid_wide_images), target_wide))\n", + "selected_tall = random.sample(valid_tall_images, min(len(valid_tall_images), target_tall))\n", + "\n", + "# 만약 어느 한쪽이 부족하면 다른쪽에서 채우기\n", + "remaining = REQUIRED_COUNT - (len(selected_wide) + len(selected_tall))\n", + "if remaining > 0:\n", + " pool = valid_wide_images + valid_tall_images\n", + " remaining_pick = random.sample(pool, min(len(pool), remaining))\n", + " selected_images = selected_wide + selected_tall + remaining_pick\n", + "else:\n", + " selected_images = selected_wide + selected_tall\n", + "\n", + "print(f\"\\n📦 최종 선택된 이미지 수: {len(selected_images)}\")\n", + "\n", + "# ---- 복사 실행 ----\n", + "for img_path in selected_images:\n", + " shutil.copy(img_path, output_dir)\n", + "\n", + "print(\"\\n🎉 완료! 비율 조정된 양자화용 이미지셋 생성됨!\")\n", + "print(f\"📁 저장 위치 → {output_dir}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ac390117", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔧 이미지 리사이즈 중...\n", + "\n", + "🎉 완료! 총 300개의 이미지를 640x384 로 변환했습니다.\n" + ] + } + ], + "source": [ + "from PIL import Image\n", + "import os\n", + "\n", + "# 리사이즈 대상 폴더\n", + "input_dir = \"/home/cuuva/다운로드/quan_fashion_face/external1\"\n", + "\n", + "# 원하는 출력 크기\n", + "TARGET_SIZE = (640, 384) # (width, height)\n", + "\n", + "print(\"🔧 이미지 리사이즈 중...\")\n", + "\n", + "count = 0\n", + "\n", + "for filename in os.listdir(input_dir):\n", + " if filename.lower().endswith((\".jpg\", \".jpeg\", \".png\")):\n", + " img_path = os.path.join(input_dir, filename)\n", + " try:\n", + " img = Image.open(img_path)\n", + "\n", + " # 리사이즈 (BILINEAR 방식이 가장 무난함)\n", + " resized_img = img.resize(TARGET_SIZE, Image.BILINEAR)\n", + "\n", + " # 덮어쓰기 저장\n", + " resized_img.save(img_path, quality=95)\n", + "\n", + " count += 1\n", + " except Exception as e:\n", + " print(f\"⚠️ {filename} 처리 중 오류: {e}\")\n", + "\n", + "print(f\"\\n🎉 완료! 총 {count}개의 이미지를 {TARGET_SIZE[0]}x{TARGET_SIZE[1]} 로 변환했습니다.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2f4f5747", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "▶ Processing... please wait\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 2 pantss, 2 coats, 28.0ms\n", + "Speed: 1.3ms preprocess, 28.0ms inference, 43.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 1 coat, 16.1ms\n", + "Speed: 3.5ms preprocess, 16.1ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 1 coat, 14.8ms\n", + "Speed: 2.4ms preprocess, 14.8ms inference, 6.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 2 coats, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 115.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 1 coat, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 16.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 30.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 46.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 1 coat, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 37.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 39.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 90.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 42.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 89.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 coat, 12.6ms\n", + "Speed: 0.9ms preprocess, 12.6ms inference, 53.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 39.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 14.1ms\n", + "Speed: 0.9ms preprocess, 14.1ms inference, 51.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 40.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 12.3ms\n", + "Speed: 1.0ms preprocess, 12.3ms inference, 49.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 3 pantss, 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 46.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 3 pantss, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 104.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 31.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 8.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 14.1ms\n", + "Speed: 1.3ms preprocess, 14.1ms inference, 50.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 1 coat, 14.3ms\n", + "Speed: 3.0ms preprocess, 14.3ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 15.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 1 coat, 16.0ms\n", + "Speed: 3.4ms preprocess, 16.0ms inference, 37.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 3 pantss, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 3 pantss, 1 coat, 14.3ms\n", + "Speed: 1.0ms preprocess, 14.3ms inference, 51.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 1 coat, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 89.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 33.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 13.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 13.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 pantss, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 3 pantss, 8.1ms\n", + "Speed: 1.1ms preprocess, 8.1ms inference, 15.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 73.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 19.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 71.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 22.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 38.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 1.2ms preprocess, 15.9ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 pants, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 30.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 19.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 46.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 24.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 9.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 1 coat, 16.2ms\n", + "Speed: 3.3ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 23.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 19.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 16.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.3ms\n", + "Speed: 2.5ms preprocess, 16.3ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 40.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 22.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 25.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 1 coat, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 12.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.8ms preprocess, 16.0ms inference, 15.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 31.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 16.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 9.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 14.1ms\n", + "Speed: 1.0ms preprocess, 14.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 3.4ms preprocess, 16.1ms inference, 43.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 10.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 coats, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 14.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 coats, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 59.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 coats, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 12.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 10.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 7.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 13.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 24.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 16.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 21.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 8.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 24.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 38.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 37.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 10.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.9ms\n", + "Speed: 3.1ms preprocess, 15.9ms inference, 21.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.9ms\n", + "Speed: 1.9ms preprocess, 15.9ms inference, 29.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 4.1ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 21.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 42.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 10.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 3.7ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 23.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 16.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 1 coat, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 35.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 21.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 12.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 19.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 15.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 18.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 23.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 23.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 12.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 23.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 17.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 44.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 12.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 62.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 14.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 21.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 coat, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 coat, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 38.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 14.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 16.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 8.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 24.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 19.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 8.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 5.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 46.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 23.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 7.8ms\n", + "Speed: 1.7ms preprocess, 7.8ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 19.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 18.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 45.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 8.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 15.9ms\n", + "Speed: 3.7ms preprocess, 15.9ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 15.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 15.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 35.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 32.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 17.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 42.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 12.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 39.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 17.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 35.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 9.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 37.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 42.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 4.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 33.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 20.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 36.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 8.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 38.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 20.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 44.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 9.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 37.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 22.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 3.1ms preprocess, 15.9ms inference, 13.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.1ms\n", + "Speed: 2.2ms preprocess, 15.1ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 37.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 19.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 2.2ms preprocess, 15.9ms inference, 48.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 42.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 6.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 33.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 15.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 33.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 6.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 32.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 14.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 33.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 37.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 17.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 28.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 6.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 31.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 1.7ms preprocess, 15.9ms inference, 17.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 42.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 33.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 15.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 30.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 4.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 2.3ms preprocess, 15.9ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 35.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 17.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 42.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 9.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 32.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 17.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 2.5ms preprocess, 15.9ms inference, 35.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 11.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 27.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 15.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 1.6ms preprocess, 15.9ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 42.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 14.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 35.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 8.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 15.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 35.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 15.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.9ms\n", + "Speed: 2.3ms preprocess, 15.9ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 15.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 26.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 3.2ms preprocess, 15.9ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 30.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 15.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 40.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 6.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 29.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 13.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 24.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 30.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 17.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 37.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 15.3ms\n", + "Speed: 2.8ms preprocess, 15.3ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 28.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 15.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 27.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 15.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 13.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 32.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 26.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 15.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 19.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 30.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 15.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 38.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 12.7ms\n", + "Speed: 2.0ms preprocess, 12.7ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 21.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 16.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 31.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 32.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 15.8ms\n", + "Speed: 1.6ms preprocess, 15.8ms inference, 16.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 35.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 37.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 19.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 coat, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 41.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 5.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 24.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 13.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 62.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 20.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 15.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 6.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 2.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 15.5ms\n", + "Speed: 1.3ms preprocess, 15.5ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 11.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.2ms\n", + "Speed: 3.3ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 15.9ms\n", + "Speed: 2.3ms preprocess, 15.9ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 11.8ms\n", + "Speed: 1.0ms preprocess, 11.8ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.3ms\n", + "Speed: 3.0ms preprocess, 16.3ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 17.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 9.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 7.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 23.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 10.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 7.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.9ms\n", + "Speed: 2.2ms preprocess, 15.9ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 14.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 1.6ms preprocess, 15.9ms inference, 9.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 7.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 4.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 9.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 5.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.5ms\n", + "Speed: 1.6ms preprocess, 15.5ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 7.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 14.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 8.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 13.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 19.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 32.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 18.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 1.5ms preprocess, 15.9ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 14.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.9ms\n", + "Speed: 3.5ms preprocess, 15.9ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 39.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.9ms\n", + "Speed: 2.2ms preprocess, 15.9ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.0ms preprocess, 16.2ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 5.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 13.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 5.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 15.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 25.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 23.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 8.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 24.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 10.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 27.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 8.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 2.2ms preprocess, 15.9ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 17.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 6.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 18.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 2.7ms preprocess, 15.9ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 13.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 14.1ms\n", + "Speed: 2.0ms preprocess, 14.1ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 14.1ms\n", + "Speed: 2.9ms preprocess, 14.1ms inference, 10.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.0ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 11.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 14.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 15.9ms\n", + "Speed: 1.7ms preprocess, 15.9ms inference, 8.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 19.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 7.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 15.9ms\n", + "Speed: 3.0ms preprocess, 15.9ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 15.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 2.2ms preprocess, 15.9ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 15.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 5.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 9.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 12.5ms\n", + "Speed: 1.0ms preprocess, 12.5ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 2.9ms preprocess, 15.9ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 17.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 8.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.5ms\n", + "Speed: 2.3ms preprocess, 15.5ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 15.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 9.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 7.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 pants, 14.2ms\n", + "Speed: 1.5ms preprocess, 14.2ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 13.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 40.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 19.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.0ms\n", + "Speed: 1.1ms preprocess, 15.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 14.0ms\n", + "Speed: 1.8ms preprocess, 14.0ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 14.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 pants, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 pants, 15.9ms\n", + "Speed: 2.8ms preprocess, 15.9ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 7.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 25.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 9.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 14.1ms\n", + "Speed: 2.0ms preprocess, 14.1ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 7.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 13.9ms\n", + "Speed: 2.5ms preprocess, 13.9ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 18.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 1.0ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 7.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 32.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 14.0ms\n", + "Speed: 2.4ms preprocess, 14.0ms inference, 7.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 7.5ms\n", + "Speed: 2.0ms preprocess, 7.5ms inference, 2.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 14.8ms\n", + "Speed: 2.8ms preprocess, 14.8ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 15.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 13.9ms\n", + "Speed: 1.4ms preprocess, 13.9ms inference, 21.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 25.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 20.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 12.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 2.8ms preprocess, 15.9ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 15.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 3.6ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 15.9ms\n", + "Speed: 2.5ms preprocess, 15.9ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 9.6ms\n", + "Speed: 1.1ms preprocess, 9.6ms inference, 2.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 12.4ms\n", + "Speed: 1.0ms preprocess, 12.4ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 29.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 12.2ms\n", + "Speed: 1.9ms preprocess, 12.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.4ms\n", + "Speed: 0.9ms preprocess, 16.4ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 12.5ms\n", + "Speed: 1.2ms preprocess, 12.5ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.2ms\n", + "Speed: 1.0ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 14.9ms\n", + "Speed: 1.7ms preprocess, 14.9ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 12.4ms\n", + "Speed: 2.2ms preprocess, 12.4ms inference, 7.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.8ms\n", + "Speed: 1.3ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 12.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 8.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 3.3ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 28.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 9.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 18.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 35.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 23.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 20.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 15.9ms\n", + "Speed: 2.5ms preprocess, 15.9ms inference, 24.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 8.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 6.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 15.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 32.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 26.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 17.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 1 dress, 15.8ms\n", + "Speed: 2.8ms preprocess, 15.8ms inference, 18.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 dress, 7.6ms\n", + "Speed: 1.4ms preprocess, 7.6ms inference, 2.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 15.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 31.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 8.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 32.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 16.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 10.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 19.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 12.4ms\n", + "Speed: 1.3ms preprocess, 12.4ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 14.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 9.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 18.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 7.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 17.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 31.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 8.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 9.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 8.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 18.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 19.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 15.9ms\n", + "Speed: 2.1ms preprocess, 15.9ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 18.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 10.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 19.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 3.5ms preprocess, 16.0ms inference, 17.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.5ms\n", + "Speed: 2.8ms preprocess, 15.5ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 5.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 15.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 11.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 16.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 5.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 15.5ms\n", + "Speed: 1.8ms preprocess, 15.5ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.8ms\n", + "Speed: 2.2ms preprocess, 7.8ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 6.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.0ms\n", + "Speed: 3.3ms preprocess, 16.0ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 6.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 0.9ms preprocess, 16.1ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 6.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 15.9ms\n", + "Speed: 2.0ms preprocess, 15.9ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 15.9ms\n", + "Speed: 1.2ms preprocess, 15.9ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 2.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.2ms\n", + "Speed: 1.0ms preprocess, 16.2ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 6.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 10.7ms\n", + "Speed: 1.0ms preprocess, 10.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 8.5ms\n", + "Speed: 1.0ms preprocess, 8.5ms inference, 1.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 7.5ms\n", + "Speed: 0.9ms preprocess, 7.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.7ms\n", + "Speed: 0.9ms preprocess, 7.7ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 8.2ms\n", + "Speed: 1.0ms preprocess, 8.2ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.6ms\n", + "Speed: 1.0ms preprocess, 7.6ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 3.4ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 coat, 7.6ms\n", + "Speed: 1.0ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.3ms\n", + "Speed: 2.4ms preprocess, 16.3ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 6.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.9ms\n", + "Speed: 0.9ms preprocess, 7.9ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.7ms\n", + "Speed: 1.1ms preprocess, 7.7ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.6ms\n", + "Speed: 0.9ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.7ms\n", + "Speed: 1.2ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.7ms\n", + "Speed: 1.0ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.6ms\n", + "Speed: 1.5ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 7.8ms\n", + "Speed: 0.9ms preprocess, 7.8ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 7.6ms\n", + "Speed: 0.9ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.5ms\n", + "Speed: 1.6ms preprocess, 7.5ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.7ms\n", + "Speed: 1.6ms preprocess, 7.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 7.7ms\n", + "Speed: 1.0ms preprocess, 7.7ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 dress, 7.6ms\n", + "Speed: 1.6ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.6ms\n", + "Speed: 1.1ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.6ms\n", + "Speed: 1.6ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.6ms\n", + "Speed: 0.9ms preprocess, 7.6ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.6ms\n", + "Speed: 1.5ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 7.7ms\n", + "Speed: 1.1ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.8ms\n", + "Speed: 1.1ms preprocess, 7.8ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.5ms\n", + "Speed: 0.9ms preprocess, 7.5ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 9.7ms\n", + "Speed: 1.1ms preprocess, 9.7ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.1ms\n", + "Speed: 1.2ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.1ms\n", + "Speed: 1.1ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 6.9ms\n", + "Speed: 1.0ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.2ms\n", + "Speed: 1.2ms preprocess, 7.2ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 6.9ms\n", + "Speed: 1.0ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 coat, 7.3ms\n", + "Speed: 1.1ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 8.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 19.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 35.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 17.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 23.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 20.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 23.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 11.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 22.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 19.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 14.4ms\n", + "Speed: 1.2ms preprocess, 14.4ms inference, 33.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 15.9ms\n", + "Speed: 1.2ms preprocess, 15.9ms inference, 22.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 17.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 19.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 7.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 skirt, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 17.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 8.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 26.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 18.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 10.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 14.1ms\n", + "Speed: 1.7ms preprocess, 14.1ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 11.2ms\n", + "Speed: 2.3ms preprocess, 11.2ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 15.9ms\n", + "Speed: 1.1ms preprocess, 15.9ms inference, 18.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 15.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 17.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 21.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 8.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 38.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 17.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 33.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 10.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 44.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 19.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 37.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 10.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 48.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 19.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 37.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 9.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 23.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 32.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 13.0ms\n", + "Speed: 2.8ms preprocess, 13.0ms inference, 4.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 15.6ms\n", + "Speed: 1.3ms preprocess, 15.6ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 11.1ms\n", + "Speed: 1.8ms preprocess, 11.1ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 13.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 10.9ms\n", + "Speed: 2.6ms preprocess, 10.9ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 26.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 55.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 19.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 15.4ms\n", + "Speed: 1.3ms preprocess, 15.4ms inference, 55.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 4.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 8.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 13.3ms\n", + "Speed: 1.8ms preprocess, 13.3ms inference, 5.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 15.7ms\n", + "Speed: 1.4ms preprocess, 15.7ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 2 pantss, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 16.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 2 pantss, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 103.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 2 jackets, 1 pants, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 25.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 87.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 39.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 87.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 15.9ms\n", + "Speed: 3.2ms preprocess, 15.9ms inference, 39.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 73.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 15.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 12.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 75.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 33.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 14.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 2 jackets, 16.0ms\n", + "Speed: 3.2ms preprocess, 16.0ms inference, 13.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 43.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 27.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 42.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 6.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 42.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 45.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 7.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 27.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 21.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 44.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 19.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 14.7ms\n", + "Speed: 2.8ms preprocess, 14.7ms inference, 24.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 1 pants, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 13.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 33.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 74.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 13.4ms\n", + "Speed: 3.1ms preprocess, 13.4ms inference, 55.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 23.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 12.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 16.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 68.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 15.3ms\n", + "Speed: 3.0ms preprocess, 15.3ms inference, 4.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 13.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 12.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 6.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 35.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.4ms preprocess, 16.0ms inference, 17.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 43.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 6.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 11.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 19.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 9.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 19.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 18.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 24.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 7.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 19.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 19.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 27.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 9.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 21.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 7.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 7.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 5.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 25.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 8.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 23.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 46.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 16.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 46.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 26.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 33.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 19.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 42.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 38.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 19.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 31.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 15.0ms\n", + "Speed: 2.7ms preprocess, 15.0ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 60.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 14.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 14.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 32.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 39.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 4.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 25.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 17.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 27.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 9.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 13.9ms\n", + "Speed: 1.9ms preprocess, 13.9ms inference, 13.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 19.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 3.4ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 35.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 21.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 62.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 34.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 14.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 10.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 21.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 10.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 24.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 22.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 dress, 1 bag, wallet, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 25.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 7.6ms\n", + "Speed: 0.9ms preprocess, 7.6ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.0ms\n", + "Speed: 3.4ms preprocess, 16.0ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 26.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 21.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 15.9ms\n", + "Speed: 2.5ms preprocess, 15.9ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 28.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 6.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 28.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 14.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 26.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 10.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 coat, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 34.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 60.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 36.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 41.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 21.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 15.9ms\n", + "Speed: 2.7ms preprocess, 15.9ms inference, 41.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 11.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 15.9ms\n", + "Speed: 1.6ms preprocess, 15.9ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 25.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 21.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 46.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 11.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 45.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 19.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 15.9ms\n", + "Speed: 2.5ms preprocess, 15.9ms inference, 42.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 8.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 41.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 22.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 17.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 8.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 16.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 18.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 24.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 8.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 41.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 22.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 14.6ms\n", + "Speed: 1.5ms preprocess, 14.6ms inference, 53.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 1 dress, 14.5ms\n", + "Speed: 1.2ms preprocess, 14.5ms inference, 4.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 62.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 36.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 9.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 dress, 14.3ms\n", + "Speed: 2.7ms preprocess, 14.3ms inference, 4.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 90.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 20.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 87.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 12.3ms\n", + "Speed: 0.9ms preprocess, 12.3ms inference, 54.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 15.4ms\n", + "Speed: 1.5ms preprocess, 15.4ms inference, 56.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 12.4ms\n", + "Speed: 2.3ms preprocess, 12.4ms inference, 57.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 46.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.4ms preprocess, 16.1ms inference, 42.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 shirt (blouse)s, 1 jacket, 1 coat, 1 dress, 13.8ms\n", + "Speed: 1.8ms preprocess, 13.8ms inference, 51.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 16.2ms\n", + "Speed: 3.3ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 11.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 26.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 10.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 1 dress, 10.3ms\n", + "Speed: 1.2ms preprocess, 10.3ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 32.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 16.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 62.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 13.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 10.9ms\n", + "Speed: 2.2ms preprocess, 10.9ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 coat, 1 dress, 12.3ms\n", + "Speed: 1.5ms preprocess, 12.3ms inference, 56.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 13.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 coats, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 75.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 coats, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 18.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 coats, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 22.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 2 coats, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 10.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 2 coats, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 14.3ms\n", + "Speed: 1.8ms preprocess, 14.3ms inference, 55.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 2 coats, 15.9ms\n", + "Speed: 2.6ms preprocess, 15.9ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 2 coats, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 9.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 2 coats, 1 bag, wallet, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 8.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 jackets, 1 coat, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 1 coat, 1 bag, wallet, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 33.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 jackets, 1 coat, 1 bag, wallet, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 19.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 jackets, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 jackets, 2 coats, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 40.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 9.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 30.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 19.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 12.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 45.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 20.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 dress, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 16.0ms\n", + "Speed: 3.7ms preprocess, 16.0ms inference, 19.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 dress, 8.7ms\n", + "Speed: 1.5ms preprocess, 8.7ms inference, 4.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 13.2ms\n", + "Speed: 2.8ms preprocess, 13.2ms inference, 56.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 60.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 2 coats, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 coats, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 25.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 17.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 coats, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 87.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 2 coats, 13.9ms\n", + "Speed: 1.1ms preprocess, 13.9ms inference, 50.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 16.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 23.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 24.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 3.3ms preprocess, 16.0ms inference, 9.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 28.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 15.9ms\n", + "Speed: 1.0ms preprocess, 15.9ms inference, 22.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 33.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.6ms preprocess, 16.0ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 14.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 17.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 2 coats, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 22.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 89.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 14.0ms\n", + "Speed: 1.0ms preprocess, 14.0ms inference, 50.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 2 coats, 14.7ms\n", + "Speed: 2.9ms preprocess, 14.7ms inference, 54.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 2 coats, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 2 coats, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 2 coats, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 14.3ms\n", + "Speed: 2.5ms preprocess, 14.3ms inference, 53.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 13.1ms\n", + "Speed: 1.0ms preprocess, 13.1ms inference, 53.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 38.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 dress, 16.0ms\n", + "Speed: 1.0ms preprocess, 16.0ms inference, 22.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 11.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 13.3ms\n", + "Speed: 2.6ms preprocess, 13.3ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 dress, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 9.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 dress, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 19.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 15.0ms\n", + "Speed: 2.7ms preprocess, 15.0ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 13.0ms\n", + "Speed: 0.9ms preprocess, 13.0ms inference, 51.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 24.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 10.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 15.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 17.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 9.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 8.4ms\n", + "Speed: 2.4ms preprocess, 8.4ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 12.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.0ms preprocess, 16.0ms inference, 20.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 14.2ms\n", + "Speed: 1.5ms preprocess, 14.2ms inference, 53.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.0ms preprocess, 16.2ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 6.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 17.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 36.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.0ms\n", + "Speed: 3.2ms preprocess, 16.0ms inference, 19.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 10.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 19.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 15.9ms\n", + "Speed: 2.2ms preprocess, 15.9ms inference, 11.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 131.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 19.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 11.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 27.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 19.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 87.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 44.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 18.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 117.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 22.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 36.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 11.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 26.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 131.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 3 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 12.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 129.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 19.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 2 dresss, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 131.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 2 dresss, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 8.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 2 dresss, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 129.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 2 dresss, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 18.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 14.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 42.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 15.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.3ms\n", + "Speed: 1.7ms preprocess, 16.3ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 37.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 17.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 20.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 117.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 12.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 117.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 21.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 103.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 19.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 143.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 19.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 115.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 11.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 18.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 12.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 15.9ms\n", + "Speed: 1.4ms preprocess, 15.9ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 22.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 18.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 115.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 15.9ms\n", + "Speed: 1.2ms preprocess, 15.9ms inference, 26.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 shirt (blouse)s, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 13.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 131.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 22.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 20.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 131.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 19.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 11.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 24.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 131.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 2 pantss, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 14.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 131.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.0ms\n", + "Speed: 1.0ms preprocess, 16.0ms inference, 24.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 131.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 11.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 3 pantss, 1 dress, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 150.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 18.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 3.7ms preprocess, 16.1ms inference, 131.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 14.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 23.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 117.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 10.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 24.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 15.9ms\n", + "Speed: 1.3ms preprocess, 15.9ms inference, 13.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 24.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 15.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 28.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 13.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 21.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 117.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 12.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 dress, 16.2ms\n", + "Speed: 4.4ms preprocess, 16.2ms inference, 103.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 30.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 9.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 15.9ms\n", + "Speed: 1.4ms preprocess, 15.9ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 dress, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 14.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 15.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 15.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 17.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 13.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 117.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 23.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 22.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 dress, 15.9ms\n", + "Speed: 2.1ms preprocess, 15.9ms inference, 104.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 15.9ms\n", + "Speed: 2.3ms preprocess, 15.9ms inference, 30.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 117.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 11.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 117.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 23.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 117.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 15.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 dress, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 31.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 46.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 75.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 8.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 dress, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 17.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 17.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 18.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 dress, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 dress, 15.0ms\n", + "Speed: 2.7ms preprocess, 15.0ms inference, 50.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 75.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 dress, 12.3ms\n", + "Speed: 1.7ms preprocess, 12.3ms inference, 56.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 75.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 10.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 11.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 16.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 7.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 14.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 9.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 19.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 11.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 13.8ms\n", + "Speed: 1.4ms preprocess, 13.8ms inference, 4.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 9.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 15.9ms\n", + "Speed: 2.3ms preprocess, 15.9ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 26.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 17.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.0ms\n", + "Speed: 4.0ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 24.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 10.1ms\n", + "Speed: 1.6ms preprocess, 10.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 26.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 46.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 14.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 14.8ms\n", + "Speed: 1.9ms preprocess, 14.8ms inference, 50.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 5.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 14.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 13.1ms\n", + "Speed: 1.4ms preprocess, 13.1ms inference, 4.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 3.9ms preprocess, 16.1ms inference, 74.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 13.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 1 coat, 15.8ms\n", + "Speed: 2.9ms preprocess, 15.8ms inference, 12.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 1 coat, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 15.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 12.4ms\n", + "Speed: 1.7ms preprocess, 12.4ms inference, 53.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 22.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 8.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 76.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 2.4ms preprocess, 15.9ms inference, 10.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.3ms\n", + "Speed: 2.3ms preprocess, 16.3ms inference, 16.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 87.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.4ms preprocess, 16.1ms inference, 8.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 15.9ms\n", + "Speed: 1.9ms preprocess, 15.9ms inference, 25.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 8.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 87.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 14.1ms\n", + "Speed: 1.7ms preprocess, 14.1ms inference, 4.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 9.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 15.6ms\n", + "Speed: 1.2ms preprocess, 15.6ms inference, 54.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 19.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 17.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 8.5ms\n", + "Speed: 1.5ms preprocess, 8.5ms inference, 4.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 8.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 18.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 14.4ms\n", + "Speed: 2.5ms preprocess, 14.4ms inference, 55.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 90.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 12.0ms\n", + "Speed: 1.0ms preprocess, 12.0ms inference, 57.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 13.9ms\n", + "Speed: 1.1ms preprocess, 13.9ms inference, 50.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 90.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 13.2ms\n", + "Speed: 2.0ms preprocess, 13.2ms inference, 57.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 44.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 90.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 12.4ms\n", + "Speed: 1.7ms preprocess, 12.4ms inference, 55.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 35.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 21.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 42.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 2.2ms preprocess, 15.9ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 9.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 15.9ms\n", + "Speed: 2.6ms preprocess, 15.9ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 13.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 22.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 23.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 16.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.0ms preprocess, 16.2ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 27.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 25.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 33.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 14.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 103.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 29.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 104.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 18.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 29.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 21.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 36.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 101.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 15.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 coat, 1 dress, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 39.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 12.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 29.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 16.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 3.2ms preprocess, 16.0ms inference, 26.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 27.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 89.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 28.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 37.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 33.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 13.3ms\n", + "Speed: 1.0ms preprocess, 13.3ms inference, 53.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 35.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 14.0ms\n", + "Speed: 1.0ms preprocess, 14.0ms inference, 50.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 15.4ms\n", + "Speed: 1.6ms preprocess, 15.4ms inference, 56.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 14.3ms\n", + "Speed: 2.6ms preprocess, 14.3ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 2 dresss, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 2 dresss, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 32.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 2 dresss, 16.2ms\n", + "Speed: 2.5ms preprocess, 16.2ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 37.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 14.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 2 dresss, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 2 dresss, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 26.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 2 dresss, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 131.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 2 dresss, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 11.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 2 dresss, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 2 dresss, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 22.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 2 dresss, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 18.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 15.9ms\n", + "Speed: 2.4ms preprocess, 15.9ms inference, 103.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 28.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 24.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 12.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 103.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 23.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 14.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 28.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 9.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 37.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 103.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 8.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 19.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 10.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 117.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 28.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 9.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 28.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 42.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 5 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.4ms preprocess, 16.1ms inference, 47.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 27.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 coat, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 12.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 89.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 29.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 1 dress, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 1 dress, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 30.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 12.2ms\n", + "Speed: 1.7ms preprocess, 12.2ms inference, 58.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 30.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 6.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 11.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 89.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 28.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 12.5ms\n", + "Speed: 2.7ms preprocess, 12.5ms inference, 54.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 30.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 coat, 13.3ms\n", + "Speed: 2.6ms preprocess, 13.3ms inference, 48.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 2 pantss, 1 coat, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 117.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 2 pantss, 1 coat, 13.2ms\n", + "Speed: 1.7ms preprocess, 13.2ms inference, 8.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 103.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 1 pants, 2 coats, 1 dress, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 34.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 2 pantss, 2 coats, 1 dress, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 142.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 1 dress, 14.9ms\n", + "Speed: 3.0ms preprocess, 14.9ms inference, 7.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 1 coat, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 31.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 2 pantss, 2 coats, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 117.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 pants, 2 coats, 12.8ms\n", + "Speed: 2.8ms preprocess, 12.8ms inference, 9.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 coat, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 117.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 2 coats, 16.2ms\n", + "Speed: 2.3ms preprocess, 16.2ms inference, 20.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 43.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 14.8ms\n", + "Speed: 2.0ms preprocess, 14.8ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 9.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 45.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 12.5ms\n", + "Speed: 1.0ms preprocess, 12.5ms inference, 57.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 101.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 14.1ms\n", + "Speed: 3.0ms preprocess, 14.1ms inference, 8.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 28.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 3.2ms preprocess, 16.0ms inference, 8.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 76.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 12.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 33.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 101.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 26.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 dress, 16.2ms\n", + "Speed: 3.0ms preprocess, 16.2ms inference, 103.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 14.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 103.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 33.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 1 dress, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 14.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 2 jackets, 1 pants, 1 coat, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 104.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 27.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 pants, 1 coat, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 4 faces, 1 jacket, 1 coat, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 13.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 shirt (blouse)s, 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 13.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 shirt (blouse)s, 2 jackets, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 12.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 14.2ms\n", + "Speed: 1.3ms preprocess, 14.2ms inference, 50.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 14.7ms\n", + "Speed: 3.0ms preprocess, 14.7ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 89.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 15.9ms\n", + "Speed: 2.6ms preprocess, 15.9ms inference, 24.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 t-shirt, 1 jacket, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 90.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 12.7ms\n", + "Speed: 1.0ms preprocess, 12.7ms inference, 52.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 103.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 1 dress, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 12.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 1 dress, 13.8ms\n", + "Speed: 0.9ms preprocess, 13.8ms inference, 56.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 90.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 15.1ms\n", + "Speed: 2.8ms preprocess, 15.1ms inference, 53.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 9.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 17.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 89.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 32.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.0ms\n", + "Speed: 3.2ms preprocess, 16.0ms inference, 23.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 62.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 24.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 10.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 17.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 18.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 21.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 9.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.5ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 29.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 15.7ms\n", + "Speed: 2.8ms preprocess, 15.7ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 46.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 15.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 15.9ms\n", + "Speed: 2.5ms preprocess, 15.9ms inference, 48.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 17.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 15.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 12.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.2ms\n", + "Speed: 2.8ms preprocess, 16.2ms inference, 6.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 30.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 16.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 14.5ms\n", + "Speed: 2.5ms preprocess, 14.5ms inference, 54.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 14.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 12.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 62.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 dress, 14.5ms\n", + "Speed: 1.6ms preprocess, 14.5ms inference, 56.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 1 dress, 13.2ms\n", + "Speed: 1.0ms preprocess, 13.2ms inference, 53.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 10.3ms\n", + "Speed: 0.9ms preprocess, 10.3ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 52.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 14.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 15.9ms\n", + "Speed: 2.8ms preprocess, 15.9ms inference, 27.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 shirt (blouse), 2 jackets, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 5.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 14.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 2 jackets, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 12.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 36.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 4.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 2 jackets, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 29.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 17.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 38.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 4.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 35.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 15.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 37.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 6.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 62.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 15.1ms\n", + "Speed: 1.8ms preprocess, 15.1ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 11.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 14.6ms\n", + "Speed: 3.0ms preprocess, 14.6ms inference, 53.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 4.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 9.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 62.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 14.5ms\n", + "Speed: 1.4ms preprocess, 14.5ms inference, 49.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 18.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 10.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 76.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 44.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 19.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 jacket, 1 coat, 16.0ms\n", + "Speed: 3.7ms preprocess, 16.0ms inference, 13.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 coat, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 coat, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 17.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 6.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 coat, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 coat, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 30.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 16.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 dress, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 17.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 faces, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 6.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 76.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 dress, 12.2ms\n", + "Speed: 1.6ms preprocess, 12.2ms inference, 54.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 62.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 7.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 3.7ms preprocess, 16.0ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 2 jackets, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 27.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 10.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 12.8ms\n", + "Speed: 2.9ms preprocess, 12.8ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 33.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 19.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 37.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 7.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 5.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 13.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 12.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 t-shirt, 1 jacket, 13.0ms\n", + "Speed: 1.7ms preprocess, 13.0ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 12.1ms\n", + "Speed: 1.0ms preprocess, 12.1ms inference, 48.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 27.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 17.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 3.7ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 13.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 14.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 t-shirt, 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 17.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 7.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 15.9ms\n", + "Speed: 2.7ms preprocess, 15.9ms inference, 44.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 8.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 14.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.4ms preprocess, 16.0ms inference, 19.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 16.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 5.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 dress, 7.8ms\n", + "Speed: 1.1ms preprocess, 7.8ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 12.3ms\n", + "Speed: 0.9ms preprocess, 12.3ms inference, 53.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 7.7ms\n", + "Speed: 1.0ms preprocess, 7.7ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 10.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 16.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 62.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 5.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 9.9ms\n", + "Speed: 0.9ms preprocess, 9.9ms inference, 2.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 14.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 18.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 76.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 42.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 33.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.2ms preprocess, 16.2ms inference, 25.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 3.3ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 31.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 8.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 14.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 8.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 6.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 1 dress, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 33.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 27.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 28.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 6.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.4ms\n", + "Speed: 3.0ms preprocess, 16.4ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 27.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 16.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 15.9ms\n", + "Speed: 2.5ms preprocess, 15.9ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 27.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 6.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 32.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 28.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 30.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 8.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 31.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 18.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 13.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 7.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 16.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 27.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 62.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.0ms preprocess, 16.2ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 7.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 62.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 17.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 17.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 8.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 27.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 12.1ms\n", + "Speed: 1.0ms preprocess, 12.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 17.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.9ms preprocess, 16.0ms inference, 42.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.0ms\n", + "Speed: 1.5ms preprocess, 16.0ms inference, 19.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 30.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 31.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.2ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 27.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 3.4ms preprocess, 16.0ms inference, 34.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 8.6ms\n", + "Speed: 0.9ms preprocess, 8.6ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.4ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 15.8ms\n", + "Speed: 2.3ms preprocess, 15.8ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 13.9ms\n", + "Speed: 1.2ms preprocess, 13.9ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 8.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 15.9ms\n", + "Speed: 2.1ms preprocess, 15.9ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 12.4ms\n", + "Speed: 0.9ms preprocess, 12.4ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 1.8ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 3.5ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 3.2ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 14.2ms\n", + "Speed: 1.0ms preprocess, 14.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 20.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 20.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 34.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 18.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 dress, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 3.4ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 17.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 22.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 13.9ms\n", + "Speed: 3.6ms preprocess, 13.9ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 t-shirt, 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 11.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.2ms\n", + "Speed: 2.1ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.8ms\n", + "Speed: 3.0ms preprocess, 15.8ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 15.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.1ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 16.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.9ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 14.2ms\n", + "Speed: 1.2ms preprocess, 14.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 15.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.7ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 21.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 2 jackets, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 46.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 17.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 21.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 6.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 21.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.0ms preprocess, 16.1ms inference, 8.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.8ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.6ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.2ms preprocess, 16.2ms inference, 19.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.0ms\n", + "Speed: 2.9ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 16.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.9ms\n", + "Speed: 3.7ms preprocess, 15.9ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.0ms\n", + "Speed: 1.3ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 20.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.8ms preprocess, 16.0ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.9ms preprocess, 16.1ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.5ms preprocess, 16.1ms inference, 9.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.6ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 2.3ms preprocess, 16.1ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.1ms preprocess, 16.1ms inference, 10.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 42.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.0ms preprocess, 16.1ms inference, 9.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.1ms preprocess, 16.1ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.8ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.4ms\n", + "Speed: 2.4ms preprocess, 16.4ms inference, 14.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.3ms preprocess, 16.2ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 24.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.4ms preprocess, 16.0ms inference, 5.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 3.2ms preprocess, 16.2ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 15.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.3ms\n", + "Speed: 2.0ms preprocess, 16.3ms inference, 48.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 38.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 7.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 48.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 35.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 17.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 48.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.7ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.9ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.0ms\n", + "Speed: 3.1ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.5ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 5.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.2ms\n", + "Speed: 1.1ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.0ms\n", + "Speed: 1.6ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.2ms\n", + "Speed: 3.3ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 1.3ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 3.2ms preprocess, 16.0ms inference, 5.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 jacket, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 9.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 1.4ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 1.6ms preprocess, 16.1ms inference, 48.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.6ms preprocess, 16.1ms inference, 32.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.2ms\n", + "Speed: 3.1ms preprocess, 16.2ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.1ms\n", + "Speed: 2.8ms preprocess, 16.1ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.0ms\n", + "Speed: 3.9ms preprocess, 16.0ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.0ms\n", + "Speed: 3.0ms preprocess, 16.0ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 16.2ms\n", + "Speed: 1.6ms preprocess, 16.2ms inference, 31.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 3.2ms preprocess, 16.1ms inference, 48.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.4ms preprocess, 16.1ms inference, 33.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 2 shirt (blouse)s, 1 jacket, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 10.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.0ms preprocess, 16.2ms inference, 35.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.0ms\n", + "Speed: 2.3ms preprocess, 16.0ms inference, 26.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.7ms preprocess, 16.0ms inference, 6.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.4ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.7ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 15.6ms\n", + "Speed: 2.1ms preprocess, 15.6ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.2ms preprocess, 16.0ms inference, 5.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 shirt (blouse), 1 jacket, 16.2ms\n", + "Speed: 1.9ms preprocess, 16.2ms inference, 48.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 2.5ms preprocess, 16.0ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.0ms preprocess, 16.1ms inference, 9.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 1.0ms preprocess, 16.2ms inference, 20.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 1 t-shirt, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 12.5ms\n", + "Speed: 2.5ms preprocess, 12.5ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.1ms preprocess, 16.1ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 20.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 27.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.2ms preprocess, 16.0ms inference, 7.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 1.5ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.0ms\n", + "Speed: 1.7ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 12.4ms\n", + "Speed: 0.9ms preprocess, 12.4ms inference, 34.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 16.1ms\n", + "Speed: 2.2ms preprocess, 16.1ms inference, 34.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 faces, 1 t-shirt, 16.0ms\n", + "Speed: 2.0ms preprocess, 16.0ms inference, 34.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.0ms\n", + "Speed: 1.1ms preprocess, 16.0ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 face, 16.2ms\n", + "Speed: 2.7ms preprocess, 16.2ms inference, 20.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "🎉 Done! Saved to: /home/cuuva/다운로드/clothes_detect2.mp4\n" + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "import cv2\n", + "\n", + "# 경로 설정\n", + "# video_path = \"/home/cuuva/다운로드/face_recog.MOV\"\n", + "video_path = \"/home/cuuva/다운로드/test/vip/vip.mp4\"\n", + "model_path = \"/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights/best.pt\"\n", + "output_path = \"/home/cuuva/다운로드/clothes_detect2.mp4\"\n", + "\n", + "# 모델 로드\n", + "model = YOLO(model_path)\n", + "\n", + "# 비디오 읽기\n", + "cap = cv2.VideoCapture(video_path)\n", + "\n", + "# 비디오 설정 정보 가져오기\n", + "width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n", + "height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n", + "fps = int(cap.get(cv2.CAP_PROP_FPS))\n", + "\n", + "# 결과 저장용 VideoWriter\n", + "fourcc = cv2.VideoWriter_fourcc(*\"mp4v\")\n", + "output_video = cv2.VideoWriter(output_path, fourcc, fps, (width, height))\n", + "\n", + "print(\"▶ Processing... please wait\")\n", + "\n", + "while True:\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " # YOLO inference (이미지 → 객체 탐지 → 시각화)\n", + " results = model(frame, conf=0.4)\n", + "\n", + " # results[0].plot() = 바운딩박스 시각화된 frame\n", + " annotated_frame = results[0].plot()\n", + "\n", + " # 비디오 저장\n", + " output_video.write(annotated_frame)\n", + "\n", + "# 종료\n", + "cap.release()\n", + "output_video.release()\n", + "\n", + "print(f\"🎉 Done! Saved to: {output_path}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "df41712c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "📌 hood(클래스 13)가 포함된 라벨 파일들:\n", + "2970.txt\n", + "484.txt\n", + "24755.txt\n", + "50414.txt\n", + "34350.txt\n", + "26866.txt\n", + "49661.txt\n", + "45273.txt\n", + "85.txt\n", + "16644.txt\n", + "14946.txt\n", + "20471.txt\n", + "19878.txt\n", + "4666.txt\n", + "20151.txt\n", + "46561.txt\n", + "36785.txt\n", + "7074.txt\n", + "23698.txt\n", + "812.txt\n", + "20999.txt\n", + "24294.txt\n", + "22401.txt\n", + "28250.txt\n", + "20713.txt\n", + "41424.txt\n", + "8139.txt\n", + "4903.txt\n", + "27064.txt\n", + "1159.txt\n", + "46532.txt\n", + "49673.txt\n", + "14418.txt\n", + "24735.txt\n", + "304.txt\n", + "3306.txt\n", + "44325.txt\n", + "7842.txt\n", + "15524.txt\n", + "5113.txt\n", + "49122.txt\n", + "28603.txt\n", + "38885.txt\n", + "1852.txt\n", + "16484.txt\n", + "4202.txt\n", + "50008.txt\n", + "23430.txt\n", + "43580.txt\n", + "3799.txt\n", + "1242.txt\n", + "248.txt\n", + "36211.txt\n", + "36788.txt\n", + "22320.txt\n", + "5007.txt\n", + "7824.txt\n", + "33318.txt\n", + "35210.txt\n", + "26034.txt\n", + "9248.txt\n", + "7299.txt\n", + "4715.txt\n", + "20792.txt\n", + "6018.txt\n", + "8040.txt\n", + "24900.txt\n", + "36829.txt\n", + "8026.txt\n", + "20320.txt\n", + "40455.txt\n", + "26859.txt\n", + "41948.txt\n", + "21944.txt\n", + "3668.txt\n", + "26797.txt\n", + "29186.txt\n", + "5964.txt\n", + "11583.txt\n", + "42560.txt\n", + "36819.txt\n", + "14067.txt\n", + "17654.txt\n", + "17452.txt\n", + "26554.txt\n", + "17166.txt\n", + "29531.txt\n", + "44561.txt\n", + "1157.txt\n", + "25804.txt\n", + "25028.txt\n", + "24788.txt\n", + "35268.txt\n", + "104.txt\n", + "6655.txt\n", + "32025.txt\n", + "24167.txt\n", + "25020.txt\n", + "18385.txt\n", + "8277.txt\n", + "23128.txt\n", + "38782.txt\n", + "269.txt\n", + "4846.txt\n", + "22351.txt\n", + "467.txt\n", + "34740.txt\n", + "5947.txt\n", + "8008.txt\n", + "41155.txt\n", + "11347.txt\n", + "740.txt\n", + "4563.txt\n", + "14143.txt\n", + "45552.txt\n", + "8386.txt\n", + "47733.txt\n", + "35769.txt\n", + "553.txt\n", + "3416.txt\n", + "30877.txt\n", + "6979.txt\n", + "48456.txt\n", + "4063.txt\n", + "7235.txt\n", + "6721.txt\n", + "114.txt\n", + "7189.txt\n", + "25130.txt\n", + "31569.txt\n", + "4668.txt\n", + "48868.txt\n", + "28741.txt\n", + "4232.txt\n", + "46403.txt\n", + "24192.txt\n", + "12957.txt\n", + "35175.txt\n", + "13814.txt\n", + "27535.txt\n", + "49047.txt\n", + "3223.txt\n", + "851.txt\n", + "21254.txt\n", + "41878.txt\n", + "1893.txt\n", + "714.txt\n", + "7052.txt\n", + "18302.txt\n", + "20820.txt\n", + "4080.txt\n", + "5174.txt\n", + "\n", + "총 개수: 152 개\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "label_dir = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train\"\n", + "\n", + "HOOD_CLASS_ID = \"12\" # hood 클래스 ID\n", + "\n", + "hood_files = []\n", + "\n", + "for txt_name in os.listdir(label_dir):\n", + " if not txt_name.endswith(\".txt\"):\n", + " continue\n", + "\n", + " txt_path = os.path.join(label_dir, txt_name)\n", + "\n", + " with open(txt_path, \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " # 해당 txt파일 안에 hood 클래스가 있는지 확인\n", + " for line in lines:\n", + " class_id = line.split()[0]\n", + " if class_id == HOOD_CLASS_ID:\n", + " hood_files.append(txt_name)\n", + " break # 한 파일에 여러개 있어도 한 번만 기록\n", + "\n", + "print(\"📌 hood(클래스 13)가 포함된 라벨 파일들:\")\n", + "for name in hood_files:\n", + " print(name)\n", + "\n", + "print(f\"\\n총 개수: {len(hood_files)} 개\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "8abcc6ad", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import cv2\n", + "import os\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# ---- 경로 설정 ----\n", + "img_path = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/images/train/2970.jpg\"\n", + "label_path = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train/2970.txt\"\n", + "\n", + "# ---- 클래스 이름 ----\n", + "class_names = {\n", + " 0: \"shirt, blouse\",\n", + " 1: \"top, t-shirt, sweatshirt\",\n", + " 2: \"sweater\",\n", + " 3: \"cardigan\",\n", + " 4: \"jacket\",\n", + " 5: \"vest\",\n", + " 6: \"pants\",\n", + " 7: \"shorts\",\n", + " 8: \"skirt\",\n", + " 9: \"coat\",\n", + " 10: \"dress\",\n", + " 11: \"jumpsuit\",\n", + " 12: \"cape\",\n", + " 13: \"glasses\",\n", + " 14: \"hat\",\n", + " 15: \"hair accessory\",\n", + " 16: \"tie\",\n", + " 17: \"glove\",\n", + " 18: \"watch\",\n", + " 19: \"belt\",\n", + " 20: \"leg warmer\",\n", + " 21: \"tights, stockings\",\n", + " 22: \"sock\",\n", + " 23: \"shoe\",\n", + " 24: \"bag, wallet\",\n", + " 25: \"scarf\",\n", + " 26: \"umbrella\",\n", + " 27: \"hood\",\n", + " 28: \"collar\",\n", + " 29: \"lapel\",\n", + " 30: \"epaulette\",\n", + " 31: \"sleeve\",\n", + " 32: \"pocket\",\n", + " 33: \"neckline\",\n", + " 34: \"buckle\",\n", + " 35: \"zipper\",\n", + " 36: \"applique\",\n", + " 37: \"bead\",\n", + " 38: \"bow\",\n", + " 39: \"flower\",\n", + " 40: \"fringe\",\n", + " 41: \"ribbon\",\n", + " 42: \"rivet\",\n", + " 43: \"ruffle\",\n", + " 44: \"sequin\",\n", + " 45: \"tassel\",\n", + "}\n", + "\n", + "# ---- 이미지 로드 ----\n", + "img = cv2.imread(img_path)\n", + "if img is None:\n", + " raise FileNotFoundError(img_path)\n", + "\n", + "h, w, _ = img.shape\n", + "\n", + "# ---- 라벨 읽기 ----\n", + "with open(label_path, \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + "for line in lines:\n", + " cls, xc, yc, bw, bh = line.strip().split()\n", + " cls = int(cls)\n", + " xc, yc, bw, bh = map(float, [xc, yc, bw, bh])\n", + "\n", + " # YOLO → 픽셀 좌표 변환\n", + " x1 = int((xc - bw / 2) * w)\n", + " y1 = int((yc - bh / 2) * h)\n", + " x2 = int((xc + bw / 2) * w)\n", + " y2 = int((yc + bh / 2) * h)\n", + "\n", + " # 박스 & 텍스트\n", + " cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)\n", + " label = class_names.get(cls, f\"class {cls}\")\n", + " cv2.putText(img, label, (x1, y1 - 3),\n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)\n", + "\n", + "# ---- 주피터에서 시각화 ----\n", + "img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n", + "plt.figure(figsize=(10, 10))\n", + "plt.imshow(img_rgb)\n", + "plt.axis(\"off\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1c4d16ee", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "Model summary (fused): 92 layers, 25,847,287 parameters, 0 gradients, 78.7 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights/best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 17, 8400) (148.5 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 1.8s, saved as '/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights/best.onnx' (98.9 MB)\n", + "\n", + "Export complete (2.6s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights/best.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights/best.onnx imgsz=640 data=/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_custom.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights/best.onnx'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "model = YOLO(\"/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/weights/best.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e524a803", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/fashion_yolo/aihub_exp/yolov8s_fashion/args.yaml b/fashion_yolo/aihub_exp/yolov8s_fashion/args.yaml new file mode 100644 index 0000000..6cb04c9 --- /dev/null +++ b/fashion_yolo/aihub_exp/yolov8s_fashion/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8s.pt +data: /home/cuuva/experiment/fashion_yolo/aihub_fashion.yaml +epochs: 200 +time: null +patience: 40 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: aihub_exp +name: yolov8s_fashion +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 0.0 +mosaic: 1.0 +mixup: 0.0 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: /home/cuuva/experiment/fashion_yolo/aihub_exp/yolov8s_fashion diff --git a/fashion_yolo/aihub_exp/yolov8s_fashion/results.csv b/fashion_yolo/aihub_exp/yolov8s_fashion/results.csv new file mode 100644 index 0000000..c42cba7 --- /dev/null +++ b/fashion_yolo/aihub_exp/yolov8s_fashion/results.csv @@ -0,0 +1,27 @@ +epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2 +1,537.591,0.31592,0.73548,0.96999,0.78711,0.7828,0.83314,0.80005,0.2334,0.57004,0.86224,0.0670252,0.000333079,0.000333079 +2,1047.8,0.31123,0.57773,0.96044,0.73462,0.78939,0.8564,0.84804,0.17432,0.50819,0.82295,0.0340219,0.000663114,0.000663114 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a/fashion_yolo/aihub_fashion.yaml b/fashion_yolo/aihub_fashion.yaml new file mode 100644 index 0000000..d732603 --- /dev/null +++ b/fashion_yolo/aihub_fashion.yaml @@ -0,0 +1,7 @@ +train: /home/cuuva/aihub_car/clothes_dataset/Training/images/ +val: /home/cuuva/aihub_car/clothes_dataset/Validation/images/ +# test: /home/cuuva/experiment/datasets/VisDrone/images/test + +# nc: 7 +nc: 9 +names: ['BLOUSE','COAT', 'DRESS', 'JACKET', 'JUMPER', 'PANTS', 'SHIRTS', 'SKIRT', 'TSHIRTS'] diff --git a/fashion_yolo/fashion_all.ipynb b/fashion_yolo/fashion_all.ipynb new file mode 100644 index 0000000..ca8c933 --- /dev/null +++ b/fashion_yolo/fashion_all.ipynb @@ -0,0 +1,439 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "ed856410", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📂 폴더 분석: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train\n", + "📄 파일 개수: 45623\n", + "🧮 클래스별 개수:\n", + " class 0 (shirt, blouse): 6161\n", + " class 1 (top, t-shirt, sweatshirt): 16548\n", + " class 2 (sweater): 1494\n", + " class 3 (cardigan): 1107\n", + " class 4 (jacket): 7833\n", + " class 5 (vest): 719\n", + " class 6 (pants): 12414\n", + " class 7 (shorts): 2756\n", + " class 8 (skirt): 5046\n", + " class 9 (coat): 3124\n", + " class 10 (dress): 18739\n", + " class 11 (jumpsuit): 922\n", + " class 12 (cape): 152\n", + " class 13 (glasses): 4855\n", + " class 14 (hat): 2518\n", + " class 15 (hair accessory): 3470\n", + " class 16 (tie): 1457\n", + " class 17 (glove): 1385\n", + " class 18 (watch): 3389\n", + " class 19 (belt): 6851\n", + " class 20 (leg warmer): 112\n", + " class 21 (tights, stockings): 4326\n", + " class 22 (sock): 2582\n", + " class 23 (shoe): 46374\n", + " class 24 (bag, wallet): 7217\n", + " class 25 (scarf): 1374\n", + " class 26 (umbrella): 135\n", + " class 27 (hood): 1226\n", + " class 28 (collar): 10159\n", + " class 29 (lapel): 5972\n", + " class 30 (epaulette): 874\n", + " class 31 (sleeve): 59448\n", + " class 32 (pocket): 27179\n", + " class 33 (neckline): 34258\n", + " class 34 (buckle): 3300\n", + " class 35 (zipper): 7991\n", + " class 36 (applique): 3529\n", + " class 37 (bead): 5084\n", + " class 38 (bow): 528\n", + " class 39 (flower): 1367\n", + " class 40 (fringe): 588\n", + " class 41 (ribbon): 274\n", + " class 42 (rivet): 4893\n", + " class 43 (ruffle): 2407\n", + " class 44 (sequin): 929\n", + " class 45 (tassel): 335\n", + "\n", + "📂 폴더 분석: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val\n", + "📄 파일 개수: 1158\n", + "🧮 클래스별 개수:\n", + " class 0 (shirt, blouse): 102\n", + " class 1 (top, t-shirt, sweatshirt): 477\n", + " class 2 (sweater): 21\n", + " class 3 (cardigan): 12\n", + " class 4 (jacket): 183\n", + " class 5 (vest): 22\n", + " class 6 (pants): 314\n", + " class 7 (shorts): 106\n", + " class 8 (skirt): 162\n", + " class 9 (coat): 104\n", + " class 10 (dress): 508\n", + " class 11 (jumpsuit): 21\n", + " class 12 (cape): 5\n", + " class 13 (glasses): 130\n", + " class 14 (hat): 74\n", + " class 15 (hair accessory): 109\n", + " class 16 (tie): 3\n", + " class 17 (glove): 31\n", + " class 18 (watch): 84\n", + " class 19 (belt): 164\n", + " class 20 (leg warmer): 14\n", + " class 21 (tights, stockings): 122\n", + " class 22 (sock): 87\n", + " class 23 (shoe): 1566\n", + " class 24 (bag, wallet): 214\n", + " class 25 (scarf): 48\n", + " class 26 (umbrella): 5\n", + " class 27 (hood): 32\n", + " class 28 (collar): 218\n", + " class 29 (lapel): 135\n", + " class 30 (epaulette): 14\n", + " class 31 (sleeve): 1442\n", + " class 32 (pocket): 541\n", + " class 33 (neckline): 929\n", + " class 34 (buckle): 67\n", + " class 35 (zipper): 194\n", + " class 36 (applique): 61\n", + " class 37 (bead): 107\n", + " class 38 (bow): 6\n", + " class 39 (flower): 37\n", + " class 40 (fringe): 30\n", + " class 41 (ribbon): 9\n", + " class 42 (rivet): 143\n", + " class 43 (ruffle): 76\n", + " class 44 (sequin): 13\n", + " class 45 (tassel): 39\n", + "\n", + "=====================================\n", + "📊 전체(train + val) 클래스별 개수\n", + "=====================================\n", + " class 0 (shirt, blouse): 6263\n", + " class 1 (top, t-shirt, sweatshirt): 17025\n", + " class 2 (sweater): 1515\n", + " class 3 (cardigan): 1119\n", + " class 4 (jacket): 8016\n", + " class 5 (vest): 741\n", + " class 6 (pants): 12728\n", + " class 7 (shorts): 2862\n", + " class 8 (skirt): 5208\n", + " class 9 (coat): 3228\n", + " class 10 (dress): 19247\n", + " class 11 (jumpsuit): 943\n", + " class 12 (cape): 157\n", + " class 13 (glasses): 4985\n", + " class 14 (hat): 2592\n", + " class 15 (hair accessory): 3579\n", + " class 16 (tie): 1460\n", + " class 17 (glove): 1416\n", + " class 18 (watch): 3473\n", + " class 19 (belt): 7015\n", + " class 20 (leg warmer): 126\n", + " class 21 (tights, stockings): 4448\n", + " class 22 (sock): 2669\n", + " class 23 (shoe): 47940\n", + " class 24 (bag, wallet): 7431\n", + " class 25 (scarf): 1422\n", + " class 26 (umbrella): 140\n", + " class 27 (hood): 1258\n", + " class 28 (collar): 10377\n", + " class 29 (lapel): 6107\n", + " class 30 (epaulette): 888\n", + " class 31 (sleeve): 60890\n", + " class 32 (pocket): 27720\n", + " class 33 (neckline): 35187\n", + " class 34 (buckle): 3367\n", + " class 35 (zipper): 8185\n", + " class 36 (applique): 3590\n", + " class 37 (bead): 5191\n", + " class 38 (bow): 534\n", + " class 39 (flower): 1404\n", + " class 40 (fringe): 618\n", + " class 41 (ribbon): 283\n", + " class 42 (rivet): 5036\n", + " class 43 (ruffle): 2483\n", + " class 44 (sequin): 942\n", + " class 45 (tassel): 374\n" + ] + } + ], + "source": [ + "import os\n", + "from collections import defaultdict\n", + "import yaml\n", + "\n", + "# ---------------------------------------\n", + "# 1) YAML 파일에서 클래스 이름 불러오기\n", + "# ---------------------------------------\n", + "yaml_path = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_bak.yaml\"\n", + "\n", + "with open(yaml_path, \"r\") as f:\n", + " data = yaml.safe_load(f)\n", + "\n", + "names = data[\"names\"]\n", + "# keys가 문자열일 수도 있음 → 정수 key로 맞춰줌\n", + "class_names = {int(k): v for k, v in names.items()}\n", + "\n", + "# ---------------------------------------\n", + "# 2) Label 파일 읽어서 클래스별 개수 계산\n", + "# ---------------------------------------\n", + "label_root = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels\"\n", + "folders = [\"train\", \"val\"]\n", + "\n", + "total_counts = defaultdict(int)\n", + "\n", + "for folder in folders:\n", + " folder_path = os.path.join(label_root, folder)\n", + " class_counts = defaultdict(int)\n", + "\n", + " txt_files = [f for f in os.listdir(folder_path) if f.endswith(\".txt\")]\n", + "\n", + " print(f\"\\n📂 폴더 분석: {folder_path}\")\n", + " print(f\"📄 파일 개수: {len(txt_files)}\")\n", + "\n", + " for txt in txt_files:\n", + " with open(os.path.join(folder_path, txt), \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " for line in lines:\n", + " class_id = int(line.split()[0])\n", + " class_counts[class_id] += 1\n", + " total_counts[class_id] += 1\n", + "\n", + " # --- 폴더별 결과 출력 ---\n", + " print(\"🧮 클래스별 개수:\")\n", + " for cid in sorted(class_counts.keys()):\n", + " print(f\" class {cid:2d} ({class_names.get(cid, 'Unknown')}): {class_counts[cid]}\")\n", + "\n", + "# ---------------------------------------\n", + "# 3) 전체 합산 결과 출력\n", + "# ---------------------------------------\n", + "print(\"\\n=====================================\")\n", + "print(\"📊 전체(train + val) 클래스별 개수\")\n", + "print(\"=====================================\")\n", + "for cid in sorted(total_counts.keys()):\n", + " print(f\" class {cid:2d} ({class_names.get(cid, 'Unknown')}): {total_counts[cid]}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d94803f3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.237 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_bak.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=500, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8m.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=yolov8m_fashion_all, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=50, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=fashionpedia_exp, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=46\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 1392 ultralytics.nn.modules.conv.Conv [3, 48, 3, 2] \n", + " 1 -1 1 41664 ultralytics.nn.modules.conv.Conv [48, 96, 3, 2] \n", + " 2 -1 2 111360 ultralytics.nn.modules.block.C2f [96, 96, 2, True] \n", + " 3 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2] \n", + " 4 -1 4 813312 ultralytics.nn.modules.block.C2f [192, 192, 4, True] \n", + " 5 -1 1 664320 ultralytics.nn.modules.conv.Conv [192, 384, 3, 2] \n", + " 6 -1 4 3248640 ultralytics.nn.modules.block.C2f [384, 384, 4, True] \n", + " 7 -1 1 1991808 ultralytics.nn.modules.conv.Conv [384, 576, 3, 2] \n", + " 8 -1 2 3985920 ultralytics.nn.modules.block.C2f [576, 576, 2, True] \n", + " 9 -1 1 831168 ultralytics.nn.modules.block.SPPF [576, 576, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 2 1993728 ultralytics.nn.modules.block.C2f [960, 384, 2] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 2 517632 ultralytics.nn.modules.block.C2f [576, 192, 2] \n", + " 16 -1 1 332160 ultralytics.nn.modules.conv.Conv [192, 192, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 2 1846272 ultralytics.nn.modules.block.C2f [576, 384, 2] \n", + " 19 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 2 4207104 ultralytics.nn.modules.block.C2f [960, 576, 2] \n", + " 22 [15, 18, 21] 1 3802330 ultralytics.nn.modules.head.Detect [46, [192, 384, 576]] \n", + "Model summary: 169 layers, 25,882,954 parameters, 25,882,938 gradients, 79.2 GFLOPs\n", + "\n", + "Transferred 469/475 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 3322.6±3977.1 MB/s, size: 88.2 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train... 45623 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 45623/45623 7.9Kit/s 5.8s0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/fashionpedia_yolo/images/train/19725.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train.cache\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.36G total, 0.25G reserved, 0.24G allocated, 30.87G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cuuva/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 25882954 79.21 2.898 28.43 155.4 (1, 3, 640, 640) list\n", + " 25882954 158.4 4.754 9.878 36.17 (2, 3, 640, 640) list\n", + " 25882954 316.8 5.887 13.6 50 (4, 3, 640, 640) list\n", + " 25882954 633.7 8.972 26.37 74.09 (8, 3, 640, 640) list\n", + " 25882954 1267 12.149 27.28 121.9 (16, 3, 640, 640) list\n", + " 25882954 2535 20.816 55.09 243.1 (32, 3, 640, 640) list\n", + " 25882954 5069 20.615 117.7 484.3 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 28 for CUDA:0 19.32G/31.36G (62%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 5333.7±2302.8 MB/s, size: 66.6 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train.cache... 45623 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 45623/45623 90.6Mit/s 0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/fashionpedia_yolo/images/train/19725.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 3235.1±1428.7 MB/s, size: 71.1 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val... 1158 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 1158/1158 6.4Kit/s 0.2s4s\n", + "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val.cache\n", + "Plotting labels to /home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 77 weight(decay=0.0), 84 weight(decay=0.0004375), 83 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all\u001b[0m\n", + "Starting training for 500 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/500 12.3G 1.118 1.526 1.247 379 640: 76% ━━━━━━━━━─── 1232/1630 8.0it/s 5:18<49.7s\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 8\u001b[0m\n\u001b[1;32m 4\u001b[0m model \u001b[38;5;241m=\u001b[39m YOLO(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124myolov8m.pt\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m# 2. 학습 실행\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# 위에서 생성된 yaml 파일 경로를 넣어줍니다.\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m train_results \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_bak.yaml\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mepochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m500\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m 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trainer, **kwargs)\u001b[0m\n\u001b[1;32m 774\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrainer\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrainer\u001b[38;5;241m.\u001b[39mget_model(weights\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mckpt \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m, cfg\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel\u001b[38;5;241m.\u001b[39myaml)\n\u001b[1;32m 775\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrainer\u001b[38;5;241m.\u001b[39mmodel\n\u001b[0;32m--> 777\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 778\u001b[0m \u001b[38;5;66;03m# Update model and cfg after training\u001b[39;00m\n\u001b[1;32m 779\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m RANK \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m0\u001b[39m}:\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/engine/trainer.py:238\u001b[0m, in \u001b[0;36mBaseTrainer.train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 235\u001b[0m ddp_cleanup(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28mstr\u001b[39m(file))\n\u001b[1;32m 237\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 238\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_train\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/engine/trainer.py:422\u001b[0m, in \u001b[0;36mBaseTrainer._do_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 420\u001b[0m loss, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloss_items \u001b[38;5;241m=\u001b[39m unwrap_model(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel)\u001b[38;5;241m.\u001b[39mloss(batch, preds)\n\u001b[1;32m 421\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 422\u001b[0m loss, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloss_items \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 423\u001b[0m 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\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/torch/nn/modules/module.py:1786\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1781\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1782\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1783\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1784\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1785\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1786\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1788\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1789\u001b[0m called_always_called_hooks \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m()\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/nn/tasks.py:136\u001b[0m, in \u001b[0;36mBaseModel.forward\u001b[0;34m(self, x, *args, **kwargs)\u001b[0m\n\u001b[1;32m 123\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Perform forward pass of the model for either training or inference.\u001b[39;00m\n\u001b[1;32m 124\u001b[0m \n\u001b[1;32m 125\u001b[0m \u001b[38;5;124;03mIf x is a dict, calculates and returns the loss for training. Otherwise, returns predictions for inference.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;124;03m (torch.Tensor): Loss if x is a dict (training), or network predictions (inference).\u001b[39;00m\n\u001b[1;32m 134\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mdict\u001b[39m): \u001b[38;5;66;03m# for cases of training and validating while training.\u001b[39;00m\n\u001b[0;32m--> 136\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloss\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 137\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpredict(x, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/nn/tasks.py:328\u001b[0m, in \u001b[0;36mBaseModel.loss\u001b[0;34m(self, batch, preds)\u001b[0m\n\u001b[1;32m 326\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m preds \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 327\u001b[0m preds \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mforward(batch[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimg\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m--> 328\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcriterion\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpreds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/utils/loss.py:270\u001b[0m, in \u001b[0;36mv8DetectionLoss.__call__\u001b[0;34m(self, preds, batch)\u001b[0m\n\u001b[1;32m 266\u001b[0m pred_bboxes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbbox_decode(anchor_points, pred_distri) \u001b[38;5;66;03m# xyxy, (b, h*w, 4)\u001b[39;00m\n\u001b[1;32m 267\u001b[0m \u001b[38;5;66;03m# dfl_conf = pred_distri.view(batch_size, -1, 4, self.reg_max).detach().softmax(-1)\u001b[39;00m\n\u001b[1;32m 268\u001b[0m \u001b[38;5;66;03m# dfl_conf = (dfl_conf.amax(-1).mean(-1) + dfl_conf.amax(-1).amin(-1)) / 2\u001b[39;00m\n\u001b[0;32m--> 270\u001b[0m _, target_bboxes, target_scores, fg_mask, _ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massigner\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 271\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# pred_scores.detach().sigmoid() * 0.8 + dfl_conf.unsqueeze(-1) * 0.2,\u001b[39;49;00m\n\u001b[1;32m 272\u001b[0m \u001b[43m \u001b[49m\u001b[43mpred_scores\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdetach\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msigmoid\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 273\u001b[0m \u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mpred_bboxes\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdetach\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mstride_tensor\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtype\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgt_bboxes\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 274\u001b[0m \u001b[43m \u001b[49m\u001b[43manchor_points\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mstride_tensor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 275\u001b[0m \u001b[43m \u001b[49m\u001b[43mgt_labels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 276\u001b[0m \u001b[43m \u001b[49m\u001b[43mgt_bboxes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 277\u001b[0m \u001b[43m \u001b[49m\u001b[43mmask_gt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 278\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 280\u001b[0m target_scores_sum \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmax\u001b[39m(target_scores\u001b[38;5;241m.\u001b[39msum(), \u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 282\u001b[0m \u001b[38;5;66;03m# Cls loss\u001b[39;00m\n\u001b[1;32m 283\u001b[0m \u001b[38;5;66;03m# loss[1] = self.varifocal_loss(pred_scores, target_scores, target_labels) / target_scores_sum # VFL way\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/torch/nn/modules/module.py:1775\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1773\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1774\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1775\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/torch/nn/modules/module.py:1786\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1781\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1782\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1783\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1784\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1785\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1786\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1788\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1789\u001b[0m called_always_called_hooks \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m()\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/torch/utils/_contextlib.py:120\u001b[0m, in \u001b[0;36mcontext_decorator..decorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 117\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m 118\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mdecorate_context\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 119\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m ctx_factory():\n\u001b[0;32m--> 120\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/utils/tal.py:79\u001b[0m, in \u001b[0;36mTaskAlignedAssigner.forward\u001b[0;34m(self, pd_scores, pd_bboxes, anc_points, gt_labels, gt_bboxes, mask_gt)\u001b[0m\n\u001b[1;32m 70\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m (\n\u001b[1;32m 71\u001b[0m torch\u001b[38;5;241m.\u001b[39mfull_like(pd_scores[\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m, \u001b[38;5;241m0\u001b[39m], \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_classes),\n\u001b[1;32m 72\u001b[0m torch\u001b[38;5;241m.\u001b[39mzeros_like(pd_bboxes),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 75\u001b[0m torch\u001b[38;5;241m.\u001b[39mzeros_like(pd_scores[\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m, \u001b[38;5;241m0\u001b[39m]),\n\u001b[1;32m 76\u001b[0m )\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_forward\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpd_scores\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpd_bboxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43manc_points\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgt_labels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgt_bboxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmask_gt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mcuda\u001b[38;5;241m.\u001b[39mOutOfMemoryError:\n\u001b[1;32m 81\u001b[0m \u001b[38;5;66;03m# Move tensors to CPU, compute, then move back to original device\u001b[39;00m\n\u001b[1;32m 82\u001b[0m LOGGER\u001b[38;5;241m.\u001b[39mwarning(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCUDA OutOfMemoryError in TaskAlignedAssigner, using CPU\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/utils/tal.py:105\u001b[0m, in \u001b[0;36mTaskAlignedAssigner._forward\u001b[0;34m(self, pd_scores, pd_bboxes, anc_points, gt_labels, gt_bboxes, mask_gt)\u001b[0m\n\u001b[1;32m 87\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_forward\u001b[39m(\u001b[38;5;28mself\u001b[39m, pd_scores, pd_bboxes, anc_points, gt_labels, gt_bboxes, mask_gt):\n\u001b[1;32m 88\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Compute the task-aligned assignment.\u001b[39;00m\n\u001b[1;32m 89\u001b[0m \n\u001b[1;32m 90\u001b[0m \u001b[38;5;124;03m Args:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;124;03m target_gt_idx (torch.Tensor): Target ground truth indices with shape (bs, num_total_anchors).\u001b[39;00m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 105\u001b[0m mask_pos, align_metric, overlaps \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_pos_mask\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[43m \u001b[49m\u001b[43mpd_scores\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpd_bboxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgt_labels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgt_bboxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43manc_points\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmask_gt\u001b[49m\n\u001b[1;32m 107\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 109\u001b[0m target_gt_idx, fg_mask, mask_pos \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mselect_highest_overlaps(mask_pos, overlaps, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mn_max_boxes)\n\u001b[1;32m 111\u001b[0m \u001b[38;5;66;03m# Assigned target\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/utils/tal.py:141\u001b[0m, in \u001b[0;36mTaskAlignedAssigner.get_pos_mask\u001b[0;34m(self, pd_scores, pd_bboxes, gt_labels, gt_bboxes, anc_points, mask_gt)\u001b[0m\n\u001b[1;32m 139\u001b[0m mask_in_gts \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mselect_candidates_in_gts(anc_points, gt_bboxes)\n\u001b[1;32m 140\u001b[0m \u001b[38;5;66;03m# Get anchor_align metric, (b, max_num_obj, h*w)\u001b[39;00m\n\u001b[0;32m--> 141\u001b[0m align_metric, overlaps \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_box_metrics\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpd_scores\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpd_bboxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgt_labels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgt_bboxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmask_in_gts\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mmask_gt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 142\u001b[0m \u001b[38;5;66;03m# Get topk_metric mask, (b, max_num_obj, h*w)\u001b[39;00m\n\u001b[1;32m 143\u001b[0m mask_topk \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mselect_topk_candidates(align_metric, topk_mask\u001b[38;5;241m=\u001b[39mmask_gt\u001b[38;5;241m.\u001b[39mexpand(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtopk)\u001b[38;5;241m.\u001b[39mbool())\n", + "File \u001b[0;32m~/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/ultralytics/utils/tal.py:175\u001b[0m, in \u001b[0;36mTaskAlignedAssigner.get_box_metrics\u001b[0;34m(self, pd_scores, pd_bboxes, gt_labels, gt_bboxes, mask_gt)\u001b[0m\n\u001b[1;32m 172\u001b[0m bbox_scores[mask_gt] \u001b[38;5;241m=\u001b[39m pd_scores[ind[\u001b[38;5;241m0\u001b[39m], :, ind[\u001b[38;5;241m1\u001b[39m]][mask_gt] \u001b[38;5;66;03m# b, max_num_obj, h*w\u001b[39;00m\n\u001b[1;32m 174\u001b[0m \u001b[38;5;66;03m# (b, max_num_obj, 1, 4), (b, 1, h*w, 4)\u001b[39;00m\n\u001b[0;32m--> 175\u001b[0m pd_boxes \u001b[38;5;241m=\u001b[39m \u001b[43mpd_bboxes\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43munsqueeze\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mexpand(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mn_max_boxes, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)[mask_gt]\n\u001b[1;32m 176\u001b[0m gt_boxes \u001b[38;5;241m=\u001b[39m gt_bboxes\u001b[38;5;241m.\u001b[39munsqueeze(\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m.\u001b[39mexpand(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, na, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)[mask_gt]\n\u001b[1;32m 177\u001b[0m overlaps[mask_gt] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miou_calculation(gt_boxes, pd_boxes)\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "# 1. 모델 로드 (YOLOv8m 사용)\n", + "model = YOLO('yolov8m.pt')\n", + "\n", + "# 2. 학습 실행\n", + "# 위에서 생성된 yaml 파일 경로를 넣어줍니다.\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_bak.yaml\", \n", + " epochs=500, \n", + " imgsz=640,\n", + " batch=-1, \n", + " device=\"cuda\",\n", + " optimizer='AdamW',\n", + " lr0=0.001,\n", + " patience=50,\n", + " project='fashionpedia_exp',\n", + " name='yolov8m_fashion_all',\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "9de5e25b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "Model summary (fused): 92 layers, 25,866,394 parameters, 0 gradients, 78.8 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/weights/best_fashion_detect_all.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 50, 8400) (49.7 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 0.9s, saved as '/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/weights/best_fashion_detect_all.onnx' (98.9 MB)\n", + "\n", + "Export complete (1.4s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/weights/best_fashion_detect_all.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/weights/best_fashion_detect_all.onnx imgsz=640 data=/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_bak.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/weights/best_fashion_detect_all.onnx'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from ultralytics import YOLO\n", + "model = YOLO(\"/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_all/weights/best_fashion_detect_all.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a77ad845", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face/args.yaml b/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face/args.yaml new file mode 100644 index 0000000..e71e2bc --- /dev/null +++ b/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8m.pt +data: /home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_custom.yaml +epochs: 500 +time: null +patience: 100 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: fashionpedia_exp +name: yolov8m_fashion+face +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 0.0 +mosaic: 1.0 +mixup: 0.0 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: /home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face diff --git a/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face/results.csv b/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face/results.csv new 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+106,47851.8,0.50258,0.42721,0.94219,0.77003,0.75321,0.78269,0.68599,0.5354,0.52134,0.94919,0.0007921,0.0007921,0.0007921 +107,48302.5,0.50185,0.4262,0.94187,0.77956,0.74669,0.78216,0.68629,0.53593,0.52174,0.94943,0.00079012,0.00079012,0.00079012 diff --git a/fashion_yolo/fashionpeida_exp.ipynb b/fashion_yolo/fashionpeida_exp.ipynb new file mode 100644 index 0000000..eaab7f3 --- /dev/null +++ b/fashion_yolo/fashionpeida_exp.ipynb @@ -0,0 +1,1849 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "2d2d6f03", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📂 폴더 분석: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train\n", + "📄 파일 개수: 45623\n", + "🧮 클래스별 개수:\n", + " class 0 (face): 88372\n", + " class 1 (shirt (blouse)): 6161\n", + " class 2 (t-shirt): 16548\n", + " class 3 (sweater): 1494\n", + " class 4 (cardigan): 1107\n", + " class 5 (jacket): 7833\n", + " class 6 (vest): 719\n", + " class 7 (pants): 12414\n", + " class 8 (shorts): 2756\n", + " class 9 (skirt): 5046\n", + " class 10 (coat): 3124\n", + " class 11 (dress): 18739\n", + " class 12 (bag, wallet): 7217\n", + "\n", + "📂 폴더 분석: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val\n", + "📄 파일 개수: 1158\n", + "🧮 클래스별 개수:\n", + " class 0 (face): 3539\n", + " class 1 (shirt (blouse)): 102\n", + " class 2 (t-shirt): 477\n", + " class 3 (sweater): 21\n", + " class 4 (cardigan): 12\n", + " class 5 (jacket): 183\n", + " class 6 (vest): 22\n", + " class 7 (pants): 314\n", + " class 8 (shorts): 106\n", + " class 9 (skirt): 162\n", + " class 10 (coat): 104\n", + " class 11 (dress): 508\n", + " class 12 (bag, wallet): 214\n", + "\n", + "=====================================\n", + "📊 전체(train + val) 클래스별 개수\n", + "=====================================\n", + " class 0 (face): 91911\n", + " class 1 (shirt (blouse)): 6263\n", + " class 2 (t-shirt): 17025\n", + " class 3 (sweater): 1515\n", + " class 4 (cardigan): 1119\n", + " class 5 (jacket): 8016\n", + " class 6 (vest): 741\n", + " class 7 (pants): 12728\n", + " class 8 (shorts): 2862\n", + " class 9 (skirt): 5208\n", + " class 10 (coat): 3228\n", + " class 11 (dress): 19247\n", + " class 12 (bag, wallet): 7431\n" + ] + } + ], + "source": [ + "import os\n", + "from collections import defaultdict\n", + "import yaml\n", + "\n", + "# ---------------------------------------\n", + "# 1) YAML 파일에서 클래스 이름 불러오기\n", + "# ---------------------------------------\n", + "yaml_path = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_custom.yaml\"\n", + "\n", + "with open(yaml_path, \"r\") as f:\n", + " data = yaml.safe_load(f)\n", + "\n", + "names = data[\"names\"]\n", + "# keys가 문자열일 수도 있음 → 정수 key로 맞춰줌\n", + "class_names = {int(k): v for k, v in names.items()}\n", + "\n", + "# ---------------------------------------\n", + "# 2) Label 파일 읽어서 클래스별 개수 계산\n", + "# ---------------------------------------\n", + "label_root = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels\"\n", + "folders = [\"train\", \"val\"]\n", + "\n", + "total_counts = defaultdict(int)\n", + "\n", + "for folder in folders:\n", + " folder_path = os.path.join(label_root, folder)\n", + " class_counts = defaultdict(int)\n", + "\n", + " txt_files = [f for f in os.listdir(folder_path) if f.endswith(\".txt\")]\n", + "\n", + " print(f\"\\n📂 폴더 분석: {folder_path}\")\n", + " print(f\"📄 파일 개수: {len(txt_files)}\")\n", + "\n", + " for txt in txt_files:\n", + " with open(os.path.join(folder_path, txt), \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " for line in lines:\n", + " class_id = int(line.split()[0])\n", + " class_counts[class_id] += 1\n", + " total_counts[class_id] += 1\n", + "\n", + " # --- 폴더별 결과 출력 ---\n", + " print(\"🧮 클래스별 개수:\")\n", + " for cid in sorted(class_counts.keys()):\n", + " print(f\" class {cid:2d} ({class_names.get(cid, 'Unknown')}): {class_counts[cid]}\")\n", + "\n", + "# ---------------------------------------\n", + "# 3) 전체 합산 결과 출력\n", + "# ---------------------------------------\n", + "print(\"\\n=====================================\")\n", + "print(\"📊 전체(train + val) 클래스별 개수\")\n", + "print(\"=====================================\")\n", + "for cid in sorted(total_counts.keys()):\n", + " print(f\" class {cid:2d} ({class_names.get(cid, 'Unknown')}): {total_counts[cid]}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2129cfe8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.235 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_custom.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=500, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8m.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=yolov8m_fashion+face_nohood, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=50, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=fashionpedia_exp, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=13\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 1392 ultralytics.nn.modules.conv.Conv [3, 48, 3, 2] \n", + " 1 -1 1 41664 ultralytics.nn.modules.conv.Conv [48, 96, 3, 2] \n", + " 2 -1 2 111360 ultralytics.nn.modules.block.C2f [96, 96, 2, True] \n", + " 3 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2] \n", + " 4 -1 4 813312 ultralytics.nn.modules.block.C2f [192, 192, 4, True] \n", + " 5 -1 1 664320 ultralytics.nn.modules.conv.Conv [192, 384, 3, 2] \n", + " 6 -1 4 3248640 ultralytics.nn.modules.block.C2f [384, 384, 4, True] \n", + " 7 -1 1 1991808 ultralytics.nn.modules.conv.Conv [384, 576, 3, 2] \n", + " 8 -1 2 3985920 ultralytics.nn.modules.block.C2f [576, 576, 2, True] \n", + " 9 -1 1 831168 ultralytics.nn.modules.block.SPPF [576, 576, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 2 1993728 ultralytics.nn.modules.block.C2f [960, 384, 2] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 2 517632 ultralytics.nn.modules.block.C2f [576, 192, 2] \n", + " 16 -1 1 332160 ultralytics.nn.modules.conv.Conv [192, 192, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 2 1846272 ultralytics.nn.modules.block.C2f [576, 384, 2] \n", + " 19 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 2 4207104 ultralytics.nn.modules.block.C2f [960, 576, 2] \n", + " 22 [15, 18, 21] 1 3783223 ultralytics.nn.modules.head.Detect [13, [192, 384, 576]] \n", + "Model summary: 169 layers, 25,863,847 parameters, 25,863,831 gradients, 79.1 GFLOPs\n", + "\n", + "Transferred 469/475 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 9550.5±5256.6 MB/s, size: 88.2 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train... 45623 images, 76 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 45623/45623 8.8Kit/s 5.2s0.1ss\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train.cache\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.36G total, 0.25G reserved, 0.24G allocated, 30.87G free\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cuuva/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n", + " 25863847 79.1 2.269 33.99 172.2 (1, 3, 640, 640) list\n", + " 25863847 158.2 3.662 9.859 34.49 (2, 3, 640, 640) list\n", + " 25863847 316.4 4.731 13.43 46.67 (4, 3, 640, 640) list\n", + " 25863847 632.8 7.768 26.11 70.26 (8, 3, 640, 640) list\n", + " 25863847 1266 10.767 26.94 118.4 (16, 3, 640, 640) list\n", + " 25863847 2531 22.039 55.37 244.4 (32, 3, 640, 640) list\n", + " 25863847 5063 41.209 117.2 441.1 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 27 for CUDA:0 19.11G/31.36G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 7599.0±4533.3 MB/s, size: 66.6 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train.cache... 45623 images, 76 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 45623/45623 94.7Mit/s 0.0s\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 3102.9±926.7 MB/s, size: 71.1 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val... 1158 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 1158/1158 6.4Kit/s 0.2s2s\n", + "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val.cache\n", + "Plotting labels to /home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 77 weight(decay=0.0), 84 weight(decay=0.000421875), 83 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion+face_nohood\u001b[0m\n", + "Starting training for 500 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/500 10.9G 0.8353 1.134 1.129 126 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:56<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.2it/s 2.4s0.1s\n", + " all 1158 5764 0.584 0.383 0.4 0.291\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/500 12.4G 0.7803 0.9816 1.099 128 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.5it/s 2.3s0.1s\n", + " all 1158 5764 0.553 0.493 0.492 0.385\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/500 12.4G 0.7607 0.9354 1.086 166 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.5it/s 2.3s0.1s\n", + " all 1158 5764 0.683 0.484 0.54 0.423\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/500 12.4G 0.7293 0.8818 1.066 107 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.5it/s 2.3s0.1s\n", + " all 1158 5764 0.684 0.522 0.56 0.453\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/500 12.5G 0.6926 0.8283 1.046 153 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.4it/s 2.3s0.1s\n", + " all 1158 5764 0.655 0.559 0.61 0.498\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/500 12.6G 0.6713 0.7994 1.035 137 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.638 0.589 0.645 0.539\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/500 12.6G 0.6537 0.772 1.025 203 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.636 0.635 0.658 0.556\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/500 12.7G 0.6412 0.7485 1.019 74 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.5it/s 2.3s0.1s\n", + " all 1158 5764 0.665 0.62 0.657 0.557\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/500 13.9G 0.6266 0.7293 1.013 127 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.69 0.649 0.691 0.589\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/500 13.9G 0.6164 0.712 1.005 196 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.659 0.684 0.708 0.603\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 11/500 14G 0.6095 0.7012 1.003 139 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.774 0.632 0.726 0.622\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 12/500 14.1G 0.6004 0.6848 0.9967 142 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.693 0.707 0.719 0.617\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 13/500 14.1G 0.5933 0.6733 0.993 157 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.737 0.691 0.734 0.634\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 14/500 14.2G 0.5857 0.6605 0.99 118 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.737 0.683 0.735 0.635\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 15/500 14.3G 0.5823 0.6515 0.9874 165 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.734 0.694 0.741 0.646\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 16/500 14.3G 0.5773 0.6424 0.984 98 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.74 0.694 0.749 0.651\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 17/500 14.4G 0.5708 0.634 0.9815 139 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.755 0.692 0.756 0.661\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 18/500 14.5G 0.5653 0.623 0.978 140 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:56<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.5it/s 2.3s0.1s\n", + " all 1158 5764 0.747 0.699 0.756 0.661\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 19/500 14.5G 0.5623 0.6184 0.9775 131 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.804 0.672 0.763 0.667\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 20/500 14.6G 0.5597 0.6106 0.9756 136 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.776 0.698 0.768 0.672\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 21/500 15.8G 0.5541 0.5994 0.9695 175 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.767 0.704 0.775 0.677\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 22/500 11.2G 0.5502 0.5956 0.9704 148 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.804 0.691 0.778 0.68\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 23/500 12G 0.5472 0.5893 0.9681 115 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.823 0.685 0.779 0.683\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 24/500 13.1G 0.5429 0.5836 0.9658 150 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.803 0.69 0.781 0.686\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 25/500 13.1G 0.5397 0.5765 0.9641 119 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.77 0.701 0.781 0.687\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 26/500 13.1G 0.5389 0.57 0.9621 186 640: 100% ━━━━━━━━━━━━ 1690/1690 3.9it/s 7:08<0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 7.8it/s 2.8s0.1s\n", + " all 1158 5764 0.739 0.73 0.781 0.687\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 27/500 13.2G 0.5369 0.5665 0.9621 140 640: 100% ━━━━━━━━━━━━ 1690/1690 3.9it/s 7:11<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.722 0.745 0.782 0.688\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 28/500 13.3G 0.5323 0.5596 0.9606 107 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.725 0.745 0.783 0.689\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 29/500 13.4G 0.5309 0.5575 0.958 188 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.739 0.732 0.783 0.689\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 30/500 14.5G 0.5292 0.5538 0.9602 105 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.752 0.72 0.783 0.689\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 31/500 14.6G 0.5261 0.5455 0.9564 118 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.75 0.735 0.784 0.69\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 32/500 14.7G 0.5259 0.5446 0.9566 100 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.746 0.749 0.784 0.69\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 33/500 14.7G 0.5208 0.5397 0.9548 178 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.751 0.75 0.789 0.694\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 34/500 14.8G 0.5193 0.5341 0.9529 112 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.762 0.739 0.791 0.696\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 35/500 14.9G 0.518 0.5313 0.953 160 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.765 0.745 0.792 0.698\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 36/500 14.9G 0.5146 0.5245 0.9515 177 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.765 0.738 0.79 0.697\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 37/500 15G 0.5139 0.5227 0.9508 136 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.2s\n", + " all 1158 5764 0.761 0.744 0.794 0.701\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 38/500 15.1G 0.5114 0.5193 0.9483 169 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.763 0.731 0.796 0.703\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 39/500 15.1G 0.5102 0.5147 0.9481 106 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.789 0.717 0.797 0.704\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 40/500 15.2G 0.5096 0.5142 0.9474 153 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.2s\n", + " all 1158 5764 0.786 0.72 0.797 0.704\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 41/500 15.3G 0.5073 0.5068 0.9458 143 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.772 0.729 0.801 0.707\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 42/500 15.3G 0.5044 0.5037 0.9448 169 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.772 0.73 0.801 0.706\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 43/500 16.5G 0.5033 0.5004 0.9427 139 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.78 0.724 0.8 0.706\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 44/500 11.2G 0.5 0.4998 0.9425 182 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.761 0.738 0.799 0.705\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 45/500 12.3G 0.5013 0.4956 0.9426 127 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.8 0.71 0.8 0.707\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 46/500 13.5G 0.4993 0.4932 0.9416 165 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.77 0.732 0.798 0.705\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 47/500 13.5G 0.4973 0.4924 0.9407 137 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.763 0.741 0.799 0.706\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 48/500 13.6G 0.498 0.4896 0.9414 113 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.4it/s 2.3s0.2s\n", + " all 1158 5764 0.764 0.739 0.798 0.706\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 49/500 13.7G 0.4955 0.4841 0.94 150 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.778 0.739 0.797 0.705\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 50/500 13.7G 0.4937 0.4819 0.9386 129 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.757 0.75 0.798 0.707\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 51/500 13.8G 0.4917 0.4804 0.9376 146 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.753 0.761 0.801 0.71\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 52/500 13.9G 0.4925 0.479 0.9367 111 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.759 0.757 0.799 0.71\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 53/500 13.9G 0.4906 0.4737 0.936 179 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.75 0.758 0.8 0.71\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 54/500 14G 0.4889 0.4725 0.9365 190 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.744 0.766 0.8 0.712\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 55/500 14.1G 0.4868 0.4679 0.9336 135 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.74 0.77 0.8 0.712\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 56/500 14.1G 0.4863 0.4696 0.9336 113 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.751 0.76 0.801 0.712\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 57/500 15.4G 0.4862 0.465 0.9352 117 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:56<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.1s\n", + " all 1158 5764 0.754 0.765 0.799 0.711\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 58/500 15.4G 0.4848 0.4628 0.9332 133 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:50<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.757 0.761 0.799 0.711\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 59/500 15.5G 0.4817 0.4625 0.932 147 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.2s\n", + " all 1158 5764 0.762 0.751 0.798 0.709\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 60/500 15.6G 0.4821 0.4584 0.9313 140 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.768 0.75 0.799 0.71\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 61/500 15.6G 0.4782 0.4548 0.9294 110 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.784 0.738 0.798 0.709\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 62/500 15.7G 0.4804 0.4541 0.9298 178 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.7it/s 2.3s<0.1s\n", + " all 1158 5764 0.794 0.733 0.798 0.709\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 63/500 11.2G 0.4779 0.4511 0.9291 187 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s0.2s\n", + " all 1158 5764 0.79 0.738 0.799 0.711\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 64/500 11.2G 0.4781 0.4499 0.929 108 640: 100% ━━━━━━━━━━━━ 1690/1690 4.1it/s 6:51<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 22/22 9.6it/s 2.3s<0.1s\n", + " all 1158 5764 0.801 0.732 0.8 0.714\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 65/500 11.2G 0.4757 0.4488 0.93 208 640: 28% ━━━───────── 475/1690 4.1it/s 1:56<4:579" + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "# 1. 모델 로드 (YOLOv8m 사용)\n", + "model = YOLO('yolov8m.pt')\n", + "\n", + "# 2. 학습 실행\n", + "# 위에서 생성된 yaml 파일 경로를 넣어줍니다.\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_custom.yaml\", \n", + " epochs=300, \n", + " imgsz=640,\n", + " batch=-1, \n", + " device=\"cuda\",\n", + " optimizer='AdamW',\n", + " lr0=0.001,\n", + " patience=50,\n", + " project='fashionpedia_exp',\n", + " name='yolov8m_fashion+face_nohood',\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fdfe3123", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "Model summary (fused): 92 layers, 25,849,024 parameters, 0 gradients, 78.7 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_final2/weights/best_fashion_16class.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 20, 8400) (49.6 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 0.8s, saved as '/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_final2/weights/best_fashion_16class.onnx' (98.9 MB)\n", + "\n", + "Export complete (1.1s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_final2/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_final2/weights/best_fashion_16class.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_final2/weights/best_fashion_16class.onnx imgsz=640 data=/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_reduced.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_final2/weights/best_fashion_16class.onnx'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from ultralytics import YOLO\n", + "model = YOLO(\"/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_noface/weights/best_clothes_detect.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "36092edd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "▶ Processing... please wait\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 17.2ms\n", + "Speed: 0.9ms preprocess, 17.2ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.8ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms 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640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.6ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.8ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 1.0ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.1ms\n", + "Speed: 0.5ms preprocess, 7.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 1 coat, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 1 coat, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.7ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 shirt (blouse), 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.7ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 1.4ms preprocess, 6.7ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.8ms preprocess, 6.8ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.6ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.6ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.6ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.8ms preprocess, 6.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.8ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 1 bag, wallet, 6.8ms\n", + "Speed: 0.6ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.9ms\n", + "Speed: 0.5ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.9ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.6ms preprocess, 6.8ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.8ms preprocess, 6.8ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 2 jackets, 2 pantss, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.8ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.6ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.8ms preprocess, 6.9ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.7ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.7ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 7.1ms\n", + "Speed: 0.8ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 6.7ms\n", + "Speed: 0.6ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 7.1ms\n", + "Speed: 0.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.8ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 6.8ms\n", + "Speed: 0.8ms preprocess, 6.8ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 2 pantss, 7.0ms\n", + "Speed: 0.5ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 2 jackets, 2 pantss, 6.8ms\n", + "Speed: 0.8ms preprocess, 6.8ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 2 pantss, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.6ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 2 pantss, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.9ms\n", + "Speed: 0.4ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 6.8ms\n", + "Speed: 0.6ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 jackets, 1 pants, 6.7ms\n", + 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at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 pants, 6.7ms\n", + "Speed: 0.6ms preprocess, 6.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 pants, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 1 pants, 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 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per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 6.7ms\n", + "Speed: 0.8ms preprocess, 6.7ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 6.7ms\n", + "Speed: 1.5ms preprocess, 6.7ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 t-shirt, 1 jacket, 6.8ms\n", + "Speed: 0.5ms preprocess, 6.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 coat, 6.7ms\n", + "Speed: 1.1ms preprocess, 6.7ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 6.8ms\n", + "Speed: 0.4ms preprocess, 6.8ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 7.0ms\n", + "Speed: 0.4ms preprocess, 7.0ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 jacket, 6.7ms\n", + "Speed: 0.4ms preprocess, 6.7ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 6.7ms\n", + "Speed: 0.5ms preprocess, 6.7ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 7.1ms\n", + "Speed: 0.4ms preprocess, 7.1ms inference, 0.2ms postprocess per image at shape (1, 3, 384, 640)\n", + "🎉 Done! Saved to: /home/cuuva/다운로드/clothes_detect.mp4\n" + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "import cv2\n", + "\n", + "# 경로 설정\n", + "video_path = \"/home/cuuva/다운로드/face_recog.MOV\"\n", + "model_path = \"/home/cuuva/experiment/fashion_yolo/fashionpedia_exp/yolov8m_fashion_noface/weights/best_clothes_detect.pt\"\n", + "output_path = \"/home/cuuva/다운로드/clothes_detect.mp4\"\n", + "\n", + "# 모델 로드\n", + "model = YOLO(model_path)\n", + "\n", + "# 비디오 읽기\n", + "cap = cv2.VideoCapture(video_path)\n", + "\n", + "# 비디오 설정 정보 가져오기\n", + "width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n", + "height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n", + "fps = int(cap.get(cv2.CAP_PROP_FPS))\n", + "\n", + "# 결과 저장용 VideoWriter\n", + "fourcc = cv2.VideoWriter_fourcc(*\"mp4v\")\n", + "output_video = cv2.VideoWriter(output_path, fourcc, fps, (width, height))\n", + "\n", + "print(\"▶ Processing... please wait\")\n", + "\n", + "while True:\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " # YOLO inference (이미지 → 객체 탐지 → 시각화)\n", + " results = model(frame, conf=0.4)\n", + "\n", + " # results[0].plot() = 바운딩박스 시각화된 frame\n", + " annotated_frame = results[0].plot()\n", + "\n", + " # 비디오 저장\n", + " output_video.write(annotated_frame)\n", + "\n", + "# 종료\n", + "cap.release()\n", + "output_video.release()\n", + "\n", + "print(f\"🎉 Done! Saved to: {output_path}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a4c0ddfc", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/fashion_yolo/init_process.ipynb b/fashion_yolo/init_process.ipynb new file mode 100644 index 0000000..d1f287a --- /dev/null +++ b/fashion_yolo/init_process.ipynb @@ -0,0 +1,47420 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "d4b4150e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cuuva/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "Generating train split: 100%|██████████| 45623/45623 [00:03<00:00, 12408.24 examples/s]\n", + "Generating val split: 100%|██████████| 1158/1158 [00:00<00:00, 9773.25 examples/s] \n" + ] + } + ], + "source": [ + "from datasets import load_dataset\n", + "\n", + "ds = load_dataset(\"detection-datasets/fashionpedia\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cd53e76f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DatasetDict({\n", + " train: Dataset({\n", + " features: ['image_id', 'image', 'width', 'height', 'objects'],\n", + " num_rows: 45623\n", + " })\n", + " val: Dataset({\n", + " features: ['image_id', 'image', 'width', 'height', 'objects'],\n", + " num_rows: 1158\n", + " })\n", + "})\n" + ] + } + ], + "source": [ + "print(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "fa6c4f7f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "📥 Hugging Face에서 데이터셋 다운로드 중...\n", + "📋 총 46개의 클래스가 감지되었습니다.\n", + " 예시: ['shirt, blouse', 'top, t-shirt, sweatshirt', 'sweater', 'cardigan', 'jacket'] ...\n", + "🚀 train 데이터 처리 중... (데이터가 많으니 조금 걸릴 수 있어!)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45623/45623 [01:48<00:00, 422.31it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🚀 val 데이터 처리 중... (데이터가 많으니 조금 걸릴 수 있어!)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1158/1158 [00:02<00:00, 440.09it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "✅ 모든 준비 완료! YAML 파일 경로: /home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia.yaml\n", + "📂 데이터 저장 위치: /home/cuuva/experiment/datasets/fashionpedia_yolo\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "import os\n", + "from pathlib import Path\n", + "from datasets import load_dataset\n", + "from tqdm import tqdm\n", + "import yaml\n", + "\n", + "# 1. 데이터셋 로드\n", + "print(\"📥 Hugging Face에서 데이터셋 다운로드 중...\")\n", + "ds = load_dataset(\"detection-datasets/fashionpedia\")\n", + "\n", + "# 2. 저장할 경로 설정 (네가 원하는 로컬 경로로 수정!)\n", + "base_path = Path(\"/home/cuuva/experiment/datasets/fashionpedia_yolo\")\n", + "images_path = base_path / \"images\"\n", + "labels_path = base_path / \"labels\"\n", + "\n", + "# 폴더 생성 함수\n", + "def create_dir_structure():\n", + " for split in ['train', 'val']:\n", + " (images_path / split).mkdir(parents=True, exist_ok=True)\n", + " (labels_path / split).mkdir(parents=True, exist_ok=True)\n", + "\n", + "create_dir_structure()\n", + "\n", + "# ------------------------------------------------------------------\n", + "# 3. [수정됨] 클래스 이름 추출\n", + "# 너의 디버깅 정보: {'category': List(ClassLabel(names=['shirt, ...'])), ...}\n", + "# 따라서 ['objects']['category']로 접근 후 .feature.names를 가져옵니다.\n", + "# ------------------------------------------------------------------\n", + "try:\n", + " # 데이터셋 구조에 따라 접근 방식이 조금 다를 수 있어 안전하게 처리\n", + " categories_feature = ds['train'].features['objects']['category']\n", + " \n", + " # 만약 Sequence(ClassLabel) 형태라면 .feature를 통해 접근\n", + " if hasattr(categories_feature, 'feature'):\n", + " categories = categories_feature.feature.names\n", + " else:\n", + " # 혹시 바로 ClassLabel인 경우\n", + " categories = categories_feature.names\n", + " \n", + " print(f\"📋 총 {len(categories)}개의 클래스가 감지되었습니다.\")\n", + " print(f\" 예시: {categories[:5]} ...\")\n", + " \n", + "except Exception as e:\n", + " print(f\"❌ 카테고리 추출 중 에러 발생: {e}\")\n", + " # 만약 자동 추출이 실패하면, 네가 보내준 로그를 바탕으로 하드코딩된 리스트를 사용해도 돼.\n", + " print(\"⚠️ 수동으로 카테고리 리스트를 설정합니다.\")\n", + " categories = ['shirt, blouse', 'top, t-shirt, sweatshirt', 'sweater', 'cardigan', 'jacket', 'vest', 'pants', 'shorts', 'skirt', 'coat', 'dress', 'jumpsuit', 'cape', 'glasses', 'hat', 'headband, head covering, hair accessory', 'tie', 'glove', 'watch', 'belt', 'leg warmer', 'tights, stockings', 'sock', 'shoe', 'bag, wallet', 'scarf', 'umbrella', 'hood', 'collar', 'lapel', 'epaulette', 'sleeve', 'pocket', 'neckline', 'buckle', 'zipper', 'applique', 'bead', 'bow', 'flower', 'fringe', 'ribbon', 'rivet', 'ruffle', 'sequin', 'tassel']\n", + "\n", + "# 4. 변환 함수 정의 (BBox: XYXY -> YOLO Normalized XYWH)\n", + "def convert_bbox(bbox, img_width, img_height):\n", + " # 네가 보여준 데이터: [445.0, 910.0, 505.0, 983.0] -> x_min, y_min, x_max, y_max (절대좌표)\n", + " min_x, min_y, max_x, max_y = bbox\n", + " \n", + " # 너비와 높이 계산\n", + " dw = 1. / img_width\n", + " dh = 1. / img_height\n", + " \n", + " w = max_x - min_x\n", + " h = max_y - min_y\n", + " x_center = min_x + (w / 2)\n", + " y_center = min_y + (h / 2)\n", + " \n", + " # 정규화 (0~1 사이 값)\n", + " x_center *= dw\n", + " w *= dw\n", + " y_center *= dh\n", + " h *= dh\n", + " \n", + " return x_center, y_center, w, h\n", + "\n", + "# 5. 데이터 처리 및 저장 루프\n", + "def process_dataset(dataset_split, split_name):\n", + " print(f\"🚀 {split_name} 데이터 처리 중... (데이터가 많으니 조금 걸릴 수 있어!)\")\n", + " \n", + " for item in tqdm(dataset_split):\n", + " image = item['image']\n", + " image_id = item['image_id']\n", + " objects = item['objects']\n", + " \n", + " # 이미지 크기\n", + " img_w, img_h = image.size\n", + " \n", + " # 파일 이름 설정\n", + " file_name = f\"{image_id}\"\n", + " \n", + " # 1) 이미지 저장 (RGB 변환 필수)\n", + " # 이미 존재하면 건너뛰는 로직을 추가하고 싶으면 아래 주석 해제\n", + " # if (images_path / split_name / f\"{file_name}.jpg\").exists(): continue\n", + " \n", + " image.convert(\"RGB\").save(images_path / split_name / f\"{file_name}.jpg\")\n", + " \n", + " # 2) 라벨 저장\n", + " label_file = labels_path / split_name / f\"{file_name}.txt\"\n", + " \n", + " with open(label_file, \"w\") as f:\n", + " # 한 이미지 내의 여러 객체(objects) 루프\n", + " for i in range(len(objects['category'])):\n", + " category_id = objects['category'][i]\n", + " bbox = objects['bbox'][i]\n", + " \n", + " # 좌표 변환\n", + " x_c, y_c, w, h = convert_bbox(bbox, img_w, img_h)\n", + " \n", + " # YOLO 포맷 작성: class_id x_c y_c w h\n", + " f.write(f\"{category_id} {x_c:.6f} {y_c:.6f} {w:.6f} {h:.6f}\\n\")\n", + "\n", + "# 실제 변환 실행\n", + "process_dataset(ds['train'], 'train')\n", + "process_dataset(ds['val'], 'val')\n", + "\n", + "# 6. yaml 파일 생성\n", + "yaml_content = {\n", + " 'path': str(base_path),\n", + " 'train': 'images/train',\n", + " 'val': 'images/val',\n", + " 'names': {i: name for i, name in enumerate(categories)}\n", + "}\n", + "\n", + "yaml_path = base_path / \"fashionpedia.yaml\"\n", + "with open(yaml_path, 'w') as f:\n", + " yaml.dump(yaml_content, f, sort_keys=False)\n", + "\n", + "print(f\"\\n✅ 모든 준비 완료! YAML 파일 경로: {yaml_path}\")\n", + "print(f\"📂 데이터 저장 위치: {base_path}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b8e907af", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔄 /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train 수정 중...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45623/45623 [00:01<00:00, 45176.47it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔄 /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val 수정 중...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1158/1158 [00:00<00:00, 49086.93it/s]\n" + ] + } + ], + "source": [ + "# 기존 46개 인덱스 → 새 12개 인덱스 매핑\n", + "old_to_new = {\n", + " 0:0, 1:1, 2:2, 3:3, 4:4, 5:5, 6:6, 7:7, 9:8, # coat\n", + " 13:9, # glasses\n", + " 14:10, # hat\n", + " 24:11, # bag, wallet\n", + " # 나머지 클래스는 제거 (학습에서 제외)\n", + "}\n", + "\n", + "from pathlib import Path\n", + "from tqdm import tqdm\n", + "\n", + "label_dirs = [\n", + " Path(\"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train\"),\n", + " Path(\"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val\")\n", + "]\n", + "\n", + "for label_dir in label_dirs:\n", + " print(f\"🔄 {label_dir} 수정 중...\")\n", + " for txt_file in tqdm(list(label_dir.glob(\"*.txt\"))):\n", + " new_lines = []\n", + " with open(txt_file, \"r\") as f:\n", + " lines = f.readlines()\n", + " for line in lines:\n", + " parts = line.strip().split()\n", + " old_id = int(parts[0])\n", + " if old_id in old_to_new:\n", + " new_id = old_to_new[old_id]\n", + " new_line = \" \".join([str(new_id)] + parts[1:])\n", + " new_lines.append(new_line)\n", + " # else: 제외 (필요 없는 클래스)\n", + " \n", + " # 덮어쓰기\n", + " with open(txt_file, \"w\") as f:\n", + " f.write(\"\\n\".join(new_lines))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4ad58552", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🎉 라벨 변환 완료! 저장 위치: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels_reduced\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "# ====== 경로 설정 ======\n", + "LABELS_DIR = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels\" # train/val 포함 경로\n", + "OUTPUT_DIR = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels_reduced\" # 저장 경로\n", + "\n", + "os.makedirs(OUTPUT_DIR, exist_ok=True)\n", + "os.makedirs(os.path.join(OUTPUT_DIR, \"train\"), exist_ok=True)\n", + "os.makedirs(os.path.join(OUTPUT_DIR, \"val\"), exist_ok=True)\n", + "\n", + "# ====== 클래스 매핑 ======\n", + "class_map = {\n", + " 0: 0, # shirt\n", + " 1: 1, # t-shirt\n", + " 2: 2, # sweater\n", + " 3: 3, # cardigan\n", + " 4: 4, # jacket\n", + " 5: 5, # vest\n", + " 6: 6, # pants\n", + " 7: 7, # shorts\n", + " 8: 8, # skirt\n", + " 9: 9, # coat\n", + " 10: 10, # dress\n", + " 24: 11, # bag/wallet\n", + " 27: 12 # hood\n", + "}\n", + "\n", + "# ====== 처리 함수 ======\n", + "def rewrite_labels(split):\n", + " input_path = os.path.join(LABELS_DIR, split)\n", + " output_path = os.path.join(OUTPUT_DIR, split)\n", + "\n", + " for file in os.listdir(input_path):\n", + " if not file.endswith(\".txt\"):\n", + " continue\n", + " \n", + " input_file = os.path.join(input_path, file)\n", + " output_file = os.path.join(output_path, file)\n", + "\n", + " with open(input_file, \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " new_lines = []\n", + " for line in lines:\n", + " parts = line.strip().split()\n", + " cls = int(parts[0])\n", + " \n", + " if cls in class_map: # 매핑 가능한 클래스만 저장\n", + " parts[0] = str(class_map[cls])\n", + " new_lines.append(\" \".join(parts) + \"\\n\")\n", + "\n", + " # 결과 저장\n", + " with open(output_file, \"w\") as f:\n", + " f.writelines(new_lines)\n", + "\n", + "\n", + "# ====== 실행 ======\n", + "rewrite_labels(\"train\")\n", + "rewrite_labels(\"val\")\n", + "\n", + "print(\"🎉 라벨 변환 완료! 저장 위치:\", OUTPUT_DIR)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e32f0e20", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/50379.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/18401.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/17810.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/14716.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/1534.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/33081.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/9734.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/1675.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/44716.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/train/28548.txt\n", + "[✔] Merged → 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Merged → /home/cuuva/face_exp/yolo-face/labels/val/15309.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/val/9609.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/val/16820.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/val/15812.txt\n", + "[✔] Merged → /home/cuuva/face_exp/yolo-face/labels/val/10118.txt\n", + "\n", + "🔥 All labels merged successfully!\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "# 경로 설정\n", + "face_label_dir = \"/home/cuuva/face_exp/yolo-face/labels\"\n", + "fashion_label_dir = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels\"\n", + "\n", + "# train/val 둘 다 처리\n", + "splits = [\"train\", \"val\"]\n", + "\n", + "for split in splits:\n", + " face_split_path = os.path.join(face_label_dir, split)\n", + " fashion_split_path = os.path.join(fashion_label_dir, split)\n", + "\n", + " for file_name in os.listdir(fashion_split_path):\n", + "\n", + " if not file_name.endswith(\".txt\"):\n", + " continue\n", + "\n", + " fashion_file_path = os.path.join(fashion_split_path, file_name)\n", + " face_file_path = os.path.join(face_split_path, file_name)\n", + "\n", + " # 패션 라벨 읽기\n", + " with open(fashion_file_path, \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " # class ID +1 shift\n", + " updated_lines = []\n", + " for line in lines:\n", + " parts = line.strip().split()\n", + " parts[0] = str(int(parts[0]) + 1) # class index +1\n", + " updated_lines.append(\" \".join(parts) + \"\\n\")\n", + "\n", + " # face 파일이 없으면 생성\n", + " if not os.path.exists(face_file_path):\n", + " open(face_file_path, 'w').close()\n", + "\n", + " # append 방식으로 쓰기\n", + " with open(face_file_path, \"a\") as f:\n", + " f.writelines(updated_lines)\n", + "\n", + " print(f\"[✔] Merged → {face_file_path}\")\n", + "\n", + "print(\"\\n🔥 All labels merged successfully!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ec17cdd4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📌 Processing folder: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train (45623 files)\n", + "✔ Done: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train\n", + "\n", + "📌 Processing folder: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val (1158 files)\n", + "✔ Done: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val\n" + ] + } + ], + "source": [ + "import os\n", + "from glob import glob\n", + "\n", + "# YOLO 레이블 폴더 최상위 경로\n", + "base_path = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels\"\n", + "\n", + "subdirs = [\"train\", \"val\"]\n", + "\n", + "for sub in subdirs:\n", + " label_dir = os.path.join(base_path, sub)\n", + " txt_files = glob(os.path.join(label_dir, \"*.txt\"))\n", + "\n", + " print(f\"\\n📌 Processing folder: {label_dir} ({len(txt_files)} files)\")\n", + "\n", + " for txt_path in txt_files:\n", + " with open(txt_path, \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " new_lines = []\n", + "\n", + " for line in lines:\n", + " parts = line.strip().split()\n", + " if len(parts) < 5:\n", + " continue\n", + "\n", + " old_cls = int(parts[0])\n", + "\n", + " # 0:\"face\" → 제거\n", + " if old_cls == 0:\n", + " continue\n", + "\n", + " # 나머지 (1~12) → -1 shift\n", + " new_cls = old_cls - 1\n", + "\n", + " new_line = f\"{new_cls} \" + \" \".join(parts[1:]) + \"\\n\"\n", + " new_lines.append(new_line)\n", + "\n", + " # 덮어쓰기\n", + " with open(txt_path, \"w\") as f:\n", + " f.writelines(new_lines)\n", + "\n", + " print(f\"✔ Done: {label_dir}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c5306f47", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📌 Checking folder: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/train\n", + " Total label files: 45623\n", + " Total bounding boxes: 83158\n", + " Class distribution:\n", + " Class 0: 6161\n", + " Class 1: 16548\n", + " Class 2: 1494\n", + " Class 3: 1107\n", + " Class 4: 7833\n", + " Class 5: 719\n", + " Class 6: 12414\n", + " Class 7: 2756\n", + " Class 8: 5046\n", + " Class 9: 3124\n", + " Class 10: 18739\n", + " Class 11: 7217\n", + "\n", + "❗ WARNING: Classes 5~12 still exist: [10, 6, 7, 11, 8, 9, 5]\n", + "\n", + "📌 Checking folder: /home/cuuva/experiment/datasets/fashionpedia_yolo/labels/val\n", + " Total label files: 1158\n", + " Total bounding boxes: 2225\n", + " Class distribution:\n", + " Class 0: 102\n", + " Class 1: 477\n", + " Class 2: 21\n", + " Class 3: 12\n", + " Class 4: 183\n", + " Class 5: 22\n", + " Class 6: 314\n", + " Class 7: 106\n", + " Class 8: 162\n", + " Class 9: 104\n", + " Class 10: 508\n", + " Class 11: 214\n", + "\n", + "❗ WARNING: Classes 5~12 still exist: [9, 10, 6, 11, 8, 7, 5]\n" + ] + } + ], + "source": [ + "import os\n", + "from glob import glob\n", + "from collections import defaultdict\n", + "\n", + "# YOLO 레이블 폴더 최상위 경로\n", + "base_path = \"/home/cuuva/experiment/datasets/fashionpedia_yolo/labels\"\n", + "\n", + "subdirs = [\"train\", \"val\"]\n", + "\n", + "for sub in subdirs:\n", + " label_dir = os.path.join(base_path, sub)\n", + " txt_files = glob(os.path.join(label_dir, \"*.txt\"))\n", + "\n", + " print(f\"\\n📌 Checking folder: {label_dir}\")\n", + " print(f\" Total label files: {len(txt_files)}\")\n", + "\n", + " class_count = defaultdict(int)\n", + " total_boxes = 0\n", + "\n", + " for txt_path in txt_files:\n", + " with open(txt_path, \"r\") as f:\n", + " lines = f.readlines()\n", + "\n", + " for line in lines:\n", + " parts = line.strip().split()\n", + " if len(parts) < 5:\n", + " continue\n", + "\n", + " cls_id = int(parts[0])\n", + " class_count[cls_id] += 1\n", + " total_boxes += 1\n", + "\n", + " print(f\" Total bounding boxes: {total_boxes}\")\n", + " print(\" Class distribution:\")\n", + "\n", + " # 모든 존재하는 클래스 출력\n", + " for cls_id in sorted(class_count.keys()):\n", + " print(f\" Class {cls_id}: {class_count[cls_id]}\")\n", + "\n", + " # 5~12가 남아있으면 경고\n", + " leftovers = [cls for cls in class_count.keys() if cls > 4]\n", + " if leftovers:\n", + " print(\"\\n❗ WARNING: Classes 5~12 still exist:\", leftovers)\n", + " else:\n", + " print(\"\\n✅ OK! Only classes 0~4 remain.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55766887", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/fashion_yolo/train.py b/fashion_yolo/train.py new file mode 100644 index 0000000..2aefe3f --- /dev/null +++ b/fashion_yolo/train.py @@ -0,0 +1,33 @@ +from ultralytics import YOLO + +# 1. 모델 로드 (YOLOv8m 사용) +model = YOLO('yolov8m.pt') + +# 2. 학습 실행 +# 위에서 생성된 yaml 파일 경로를 넣어줍니다. +# train_results = model.train( +# data="/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_custom_noface.yaml", +# epochs=500, +# imgsz=640, +# batch=-1, +# device="cuda", +# optimizer='AdamW', +# lr0=0.001, +# patience=50, +# verbose=False, +# project='fashionpedia_exp', +# name='yolov8m_fashion_noface', +# ) + +train_results = model.train( + data="/home/cuuva/experiment/datasets/fashionpedia_yolo/fashionpedia_reduced.yaml", + epochs=500, + imgsz=640, + batch=-1, + device="cuda", + optimizer='AdamW', + lr0=0.001, + patience=50, + project='fashionpedia_exp', + name='yolov8m_fashion_final', +) \ No newline at end of file diff --git a/fire_smoke_detect/fire_detect/epo200_frac_0.2/args.yaml b/fire_smoke_detect/fire_detect/epo200_frac_0.2/args.yaml new file mode 100644 index 0000000..09c0d3d --- /dev/null +++ b/fire_smoke_detect/fire_detect/epo200_frac_0.2/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8n.pt +data: /home/cuuva/experiment/fire_smoke_detect/fire_smoke_detect.yaml +epochs: 200 +time: null +patience: 40 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: fire_detect +name: epo200_frac_0.2 +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 0.2 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 0.0 +mosaic: 1.0 +mixup: 0.0 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: /home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.2 diff --git a/fire_smoke_detect/fire_detect/epo200_frac_0.2/results.csv b/fire_smoke_detect/fire_detect/epo200_frac_0.2/results.csv new file mode 100644 index 0000000..a0c78f4 --- /dev/null +++ b/fire_smoke_detect/fire_detect/epo200_frac_0.2/results.csv @@ -0,0 +1,25 @@ 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100644 index 0000000..754aeb8 --- /dev/null +++ b/fire_smoke_detect/fire_detect/epo200_frac_0.23/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8n.pt +data: /home/cuuva/experiment/fire_smoke_detect/fire_smoke_detect.yaml +epochs: 200 +time: null +patience: 30 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: fire_detect +name: epo200_frac_0.23 +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 0.2 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false 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+exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 0.2 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 0.0 +mosaic: 1.0 +mixup: 0.0 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: /home/cuuva/experiment/fire_smoke_detect/fire_detect/test diff --git a/fire_smoke_detect/fire_detect/test/results.csv b/fire_smoke_detect/fire_detect/test/results.csv new file mode 100644 index 0000000..7eee2dc --- /dev/null +++ b/fire_smoke_detect/fire_detect/test/results.csv @@ -0,0 +1,4 @@ +epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2 +1,1199.61,0.95333,0.88297,1.17171,0.58992,0.55779,0.52314,0.30558,1.48042,136.788,1.7476,0.0670152,0.00033318,0.00033318 +2,2232.52,0.76985,0.54965,1.05934,0.72812,0.57948,0.63698,0.39352,1.45385,49.7197,1.71483,0.0337953,0.000446564,0.000446564 +3,3210.1,0.68091,0.45689,1.01277,0.77079,0.60657,0.6896,0.43966,1.37136,36.4624,1.57494,0.00035533,0.000339948,0.000339948 diff --git a/fire_smoke_detect/fire_exp.ipynb b/fire_smoke_detect/fire_exp.ipynb new file mode 100644 index 0000000..3c85978 --- /dev/null +++ b/fire_smoke_detect/fire_exp.ipynb @@ -0,0 +1,820 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "a7676704", + "metadata": {}, + "outputs": [], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3e94066a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "99b0442c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.227 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.8.0+cu129 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/fire_smoke_detect/fire_smoke_detect.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=200, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=0.2, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=epo200_frac_0.23, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=30, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=fire_detect, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=2\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] \n", + " 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] \n", + " 2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True] \n", + " 3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2] \n", + " 4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True] \n", + " 5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n", + " 6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True] \n", + " 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n", + " 8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True] \n", + " 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 1 37248 ultralytics.nn.modules.block.C2f [192, 64, 1] \n", + " 16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1] \n", + " 19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1] \n", + " 22 [15, 18, 21] 1 751702 ultralytics.nn.modules.head.Detect [2, [64, 128, 256]] \n", + "Model summary: 129 layers, 3,011,238 parameters, 3,011,222 gradients, 8.2 GFLOPs\n", + "\n", + "Transferred 319/355 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 708.3±281.4 MB/s, size: 334.0 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/aihub_car/fire_dataset/Training/labels/FL/ENB/0174/JPG.cache... 305424 images, 1715 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 305424/305424 572.9Mit/s 0.0s\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.33G total, 0.15G reserved, 0.05G allocated, 31.13G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n", + " 3011238 8.195 3.450 35.09 227.5 (1, 3, 640, 640) list\n", + " 3011238 16.39 3.991 4.973 24.53 (2, 3, 640, 640) list\n", + " 3011238 32.78 4.261 5.241 24.53 (4, 3, 640, 640) list\n", + " 3011238 65.56 4.970 5.51 30.21 (8, 3, 640, 640) list\n", + " 3011238 131.1 6.117 7.798 40.44 (16, 3, 640, 640) list\n", + " 3011238 262.2 4.855 15.02 54 (32, 3, 640, 640) list\n", + " 3011238 524.5 10.557 30.83 104.5 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 141 for CUDA:0 19.15G/31.33G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 704.0±204.4 MB/s, size: 445.0 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/aihub_car/fire_dataset/Training/labels/FL/ENB/0174/JPG.cache... 305424 images, 1715 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 305424/305424 593.6Mit/s 0.0s\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 825.4±75.3 MB/s, size: 500.0 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/aihub_car/fire_dataset/Validation/labels/FL/ENB/0953/JPG.cache... 190800 images, 38386 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 190800/190800 255.3Mit/s 0.0s\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/fire_dataset/Validation/images/FL/MS/2317/JPG/2317_FL_MS_00001.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/fire_dataset/Validation/images/FL/MS/2317/JPG/2317_FL_MS_00002.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/fire_dataset/Validation/images/FL/MS/2317/JPG/2317_FL_MS_00003.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/fire_dataset/Validation/images/FL/MS/2317/JPG/2317_FL_MS_00004.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: \u001b[0m/home/cuuva/aihub_car/fire_dataset/Validation/images/FL/MS/2317/JPG/2317_FL_MS_00005.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mval: 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\u001b[0m/home/cuuva/aihub_car/fire_dataset/Validation/images/FL/MS/2317/JPG/2317_FL_MS_00360.jpg: 1 duplicate labels removed\n", + "Plotting labels to /home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0011015625000000001), 63 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23\u001b[0m\n", + "Starting training for 200 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/200 18.7G 0.9533 0.883 1.172 60 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:03<0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.0it/s 2:47<0.2s\n", + " all 190800 194206 0.59 0.558 0.523 0.306\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/200 18.7G 0.7994 0.5782 1.075 66 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:49<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.3it/s 2:39<0.2s\n", + " all 190800 194206 0.74 0.534 0.604 0.368\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/200 18.7G 0.7507 0.5192 1.048 60 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:48<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.3it/s 2:36<0.2s\n", + " all 190800 194206 0.755 0.585 0.653 0.41\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/200 18.7G 0.7019 0.4698 1.023 43 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:47<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.4it/s 2:35<0.2s\n", + " all 190800 194206 0.754 0.639 0.687 0.43\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/200 18.7G 0.663 0.4336 1.002 70 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:45<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.4it/s 2:33<0.2s\n", + " all 190800 194206 0.772 0.629 0.691 0.445\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/200 18.7G 0.6362 0.41 0.9883 53 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:48<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.4it/s 2:33<0.2s\n", + " all 190800 194206 0.777 0.619 0.686 0.444\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/200 18.7G 0.617 0.3937 0.9788 60 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:46<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:31<0.2s\n", + " all 190800 194206 0.775 0.626 0.697 0.451\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/200 18.7G 0.6026 0.381 0.9708 62 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:51<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.2s\n", + " all 190800 194206 0.783 0.625 0.696 0.452\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/200 18.7G 0.5901 0.3714 0.9654 58 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:51<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.2s\n", + " all 190800 194206 0.788 0.625 0.7 0.456\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/200 18.7G 0.581 0.3632 0.9612 57 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:47<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.793 0.62 0.701 0.458\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 11/200 18.7G 0.5719 0.3554 0.9561 58 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:50<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.2s\n", + " all 190800 194206 0.793 0.619 0.703 0.461\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 12/200 18.7G 0.5636 0.3495 0.9517 58 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:45<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.801 0.613 0.705 0.464\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 13/200 18.7G 0.5575 0.3441 0.9494 66 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:46<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:26<0.3s\n", + " all 190800 194206 0.802 0.612 0.707 0.467\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 14/200 18.7G 0.5523 0.3393 0.9465 57 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:50<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:27<0.2s\n", + " all 190800 194206 0.799 0.61 0.708 0.469\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 15/200 18.7G 0.5468 0.3353 0.9443 73 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:48<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:26<0.2s\n", + " all 190800 194206 0.802 0.604 0.708 0.47\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 16/200 18.7G 0.5427 0.3315 0.9423 69 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:48<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:26<0.2s\n", + " all 190800 194206 0.802 0.603 0.707 0.471\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 17/200 18.7G 0.5365 0.3268 0.939 66 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:58<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.4it/s 2:35<0.2s\n", + " all 190800 194206 0.801 0.603 0.706 0.47\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 18/200 18.7G 0.5334 0.3251 0.9377 65 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:08<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.2s\n", + " all 190800 194206 0.799 0.6 0.705 0.471\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 19/200 18.7G 0.5294 0.3216 0.9363 54 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:10<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.4it/s 2:34<0.3s\n", + " all 190800 194206 0.802 0.597 0.704 0.471\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 20/200 18.7G 0.5266 0.3193 0.9351 55 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:10<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.2s\n", + " all 190800 194206 0.802 0.597 0.702 0.469\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 21/200 18.7G 0.5234 0.3163 0.9337 55 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:05<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:27<0.2s\n", + " all 190800 194206 0.803 0.597 0.702 0.469\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 22/200 18.7G 0.5204 0.3138 0.9324 67 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:11<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.3s\n", + " all 190800 194206 0.806 0.598 0.703 0.469\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 23/200 18.7G 0.5175 0.3118 0.931 68 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:14<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.2s\n", + " all 190800 194206 0.806 0.597 0.703 0.469\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 24/200 18.7G 0.5149 0.3102 0.9292 56 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:05<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.3s\n", + " all 190800 194206 0.805 0.598 0.702 0.469\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 25/200 18.7G inf 0.3075 0.9282 54 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:10<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.2s\n", + " all 190800 194206 0.803 0.598 0.701 0.468\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 26/200 18.7G inf 0.3061 0.9277 63 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:08<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.3s\n", + " all 190800 194206 0.803 0.598 0.701 0.467\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 27/200 18.7G 0.5076 0.3042 0.9265 46 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:03<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.2s\n", + " all 190800 194206 0.804 0.597 0.7 0.465\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 28/200 18.7G 0.5059 0.3031 0.9258 71 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:02<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.802 0.597 0.7 0.465\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 29/200 18.7G 0.5031 0.3006 0.9243 58 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:06<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.2s\n", + " all 190800 194206 0.803 0.595 0.699 0.465\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 30/200 18.7G 0.5015 0.2991 0.9237 63 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:07<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:27<0.2s\n", + " all 190800 194206 0.803 0.593 0.698 0.463\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 31/200 18.7G 0.4989 0.2975 0.9224 66 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:04<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:29<0.2s\n", + " all 190800 194206 0.802 0.593 0.696 0.462\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 32/200 18.7G 0.497 0.2958 0.9214 65 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:09<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:27<0.2s\n", + " all 190800 194206 0.803 0.592 0.696 0.462\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 33/200 18.7G 0.4953 0.2948 0.9208 42 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:55<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:27<0.2s\n", + " all 190800 194206 0.801 0.592 0.695 0.461\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 34/200 18.7G 0.4934 0.2933 0.9196 60 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:01<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:29<0.2s\n", + " all 190800 194206 0.8 0.59 0.694 0.46\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 35/200 18.7G 0.492 0.2922 0.9194 54 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:00<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.798 0.591 0.694 0.459\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 36/200 18.7G 0.4908 0.2914 0.9186 58 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:04<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.796 0.592 0.694 0.459\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 37/200 18.7G 0.4896 0.2902 0.9183 51 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:57<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.3s\n", + " all 190800 194206 0.795 0.592 0.693 0.458\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 38/200 18.7G 0.4882 0.289 0.9174 64 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:53<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.792 0.592 0.692 0.458\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 39/200 18.7G 0.4861 0.288 0.9167 50 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:58<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.2s\n", + " all 190800 194206 0.789 0.593 0.691 0.458\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 40/200 18.7G 0.4849 0.2865 0.916 70 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:03<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.2s\n", + " all 190800 194206 0.786 0.595 0.691 0.457\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 41/200 18.7G 0.4836 0.2857 0.9154 59 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:05<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:29<0.2s\n", + " all 190800 194206 0.786 0.594 0.692 0.457\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 42/200 18.7G 0.4826 0.2844 0.9161 81 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:59<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.3s\n", + " all 190800 194206 0.782 0.597 0.692 0.456\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 43/200 18.7G 0.4809 0.2837 0.9155 58 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 12:56<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.783 0.598 0.692 0.456\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 44/200 18.7G 0.4798 0.2825 0.914 62 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:04<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:29<0.2s\n", + " all 190800 194206 0.782 0.599 0.693 0.455\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 45/200 18.7G inf 0.2818 0.9137 70 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:16<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:31<0.2s\n", + " all 190800 194206 0.785 0.597 0.692 0.454\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 46/200 18.7G 0.4773 0.2808 0.913 70 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:05<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:29<0.2s\n", + " all 190800 194206 0.789 0.594 0.692 0.454\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 47/200 18.7G 0.4756 0.28 0.9127 57 640: 100% ━━━━━━━━━━━━ 2167/2167 2.7it/s 13:10<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.6it/s 2:28<0.2s\n", + " all 190800 194206 0.787 0.596 0.692 0.453\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 48/200 18.7G 0.4747 0.2788 0.912 62 640: 100% ━━━━━━━━━━━━ 2167/2167 2.8it/s 13:07<0.7s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.5it/s 2:30<0.2s\n", + " all 190800 194206 0.783 0.599 0.692 0.453\n", + "\u001b[34m\u001b[1mEarlyStopping: \u001b[0mTraining stopped early as no improvement observed in last 30 epochs. Best results observed at epoch 18, best model saved as best.pt.\n", + "To update EarlyStopping(patience=30) pass a new patience value, i.e. `patience=300` or use `patience=0` to disable EarlyStopping.\n", + "\n", + "48 epochs completed in 12.607 hours.\n", + "Optimizer stripped from /home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/last.pt, 6.2MB\n", + "Optimizer stripped from /home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.pt, 6.2MB\n", + "\n", + "Validating /home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.pt...\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.8.0+cu129 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 72 layers, 3,006,038 parameters, 0 gradients, 8.1 GFLOPs\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 677/677 4.0it/s 2:50<0.3s\n", + " all 190800 194206 0.8 0.601 0.705 0.471\n", + " flame 72076 75235 0.819 0.759 0.837 0.605\n", + " smoke 116127 118971 0.781 0.443 0.574 0.336\n", + "Speed: 0.0ms preprocess, 0.2ms inference, 0.0ms loss, 0.2ms postprocess per image\n", + "Results saved to \u001b[1m/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23\u001b[0m\n" + ] + } + ], + "source": [ + "# Load a pretrained YOLO11n model\n", + "model = YOLO(\"yolov8n.pt\")\n", + "\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/fire_smoke_detect/fire_smoke_detect.yaml\",\n", + " epochs=200,\n", + " imgsz=640,\n", + " batch=-1,\n", + " device=\"cuda\",\n", + " optimizer = 'AdamW',\n", + " lr0 = 0.001,\n", + " patience = 30,\n", + " project = 'fire_detect',\n", + " name = 'epo200_frac_0.2',\n", + " fraction = 0.2\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "88d6a47e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.8.0+cu129 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model summary (fused): 72 layers, 3,006,038 parameters, 0 gradients, 8.1 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 6, 8400) (5.9 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 2.9s, saved as '/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.onnx' (11.7 MB)\n", + "\n", + "Export complete (3.0s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.onnx imgsz=640 data=/home/cuuva/experiment/fire_smoke_detect/fire_smoke_detect.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.onnx'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = YOLO(\"/home/cuuva/experiment/fire_smoke_detect/fire_detect/epo200_frac_0.23/weights/best.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ad3f495", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/fire_smoke_detect/fire_smoke_detect.yaml b/fire_smoke_detect/fire_smoke_detect.yaml new file mode 100644 index 0000000..8e7ae6c --- /dev/null +++ b/fire_smoke_detect/fire_smoke_detect.yaml @@ -0,0 +1,10 @@ +# 데이터셋 경로 +train: /home/cuuva/aihub_car/fire_dataset/Training/images/ +val: /home/cuuva/aihub_car/fire_dataset/Validation/images/ + +# 클래스 수 +nc: 2 + +# 클래스 이름 +names: ['flame', 'smoke'] + diff --git a/swoon_detect/sw_detect/final_100epoch/args.yaml b/swoon_detect/sw_detect/final_100epoch/args.yaml new file mode 100644 index 0000000..11d5bd1 --- /dev/null +++ b/swoon_detect/sw_detect/final_100epoch/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8n.pt +data: /home/cuuva/experiment/swoon_detect/swoon_detect.yaml +epochs: 300 +time: null +patience: 50 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: sw_detect +name: final_100epoch +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 0.0 +mosaic: 1.0 +mixup: 0.0 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: /home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch diff --git a/swoon_detect/sw_detect/final_100epoch/results.csv b/swoon_detect/sw_detect/final_100epoch/results.csv new file mode 100644 index 0000000..79755bd --- /dev/null +++ b/swoon_detect/sw_detect/final_100epoch/results.csv @@ -0,0 +1,132 @@ 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/dev/null +++ b/swoon_detect/test.ipynb @@ -0,0 +1,7689 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "8dbc8484", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "0: 384x640 1 swoon, 2.0ms\n", + "Speed: 0.8ms preprocess, 2.0ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.4ms preprocess, 2.1ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.2ms preprocess, 2.2ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.5ms\n", + "Speed: 1.2ms preprocess, 2.5ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.3ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.4ms\n", + "Speed: 1.1ms preprocess, 2.4ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 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image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.2ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.3ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.3ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.3ms\n", + "Speed: 1.3ms preprocess, 2.3ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.3ms 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"Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 3 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 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+ "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 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shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.5ms\n", + "Speed: 1.3ms preprocess, 2.5ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 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image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms 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"\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.7ms\n", + "Speed: 1.4ms preprocess, 2.7ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 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shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.7ms\n", + "Speed: 1.3ms preprocess, 2.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.0ms\n", + "Speed: 1.1ms preprocess, 2.0ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.3ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.6ms\n", + "Speed: 1.3ms preprocess, 2.6ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.3ms\n", + "Speed: 1.2ms preprocess, 2.3ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.7ms\n", + "Speed: 1.3ms preprocess, 2.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.3ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.4ms\n", + "Speed: 1.3ms preprocess, 2.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.2ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.3ms\n", + "Speed: 1.0ms preprocess, 2.3ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", 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2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.2ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 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640)\n", + "\n", + "0: 384x640 (no detections), 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.2ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.2ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms 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image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms 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"\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.2ms preprocess, 2.2ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 2 swoons, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 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shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.3ms\n", + "Speed: 1.1ms preprocess, 2.3ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.4ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms 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640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.3ms\n", + "Speed: 1.1ms preprocess, 2.3ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.2ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.2ms\n", + "Speed: 1.1ms preprocess, 2.2ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.2ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.2ms\n", + "Speed: 1.2ms preprocess, 2.2ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.4ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 1 swoon, 2.1ms\n", + "Speed: 1.1ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", + "\n", + "0: 384x640 (no detections), 2.1ms\n", + "Speed: 1.0ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", + "Output video saved to /home/cuuva/다운로드/output_fallen.mp4\n" + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "import cv2\n", + "\n", + "# ----------------------------\n", + "# 1. 모델 불러오기\n", + "# ----------------------------\n", + "model_path = \"/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.pt\"\n", + "model = YOLO(model_path)\n", + "\n", + "# ----------------------------\n", + "# 2. 영상 열기\n", + "# ----------------------------\n", + "video_path = \"/home/cuuva/다운로드/Swoon_mp4/쓰러짐_14.mp4\"\n", + "cap = cv2.VideoCapture(video_path)\n", + "\n", + "# 영상 저장용\n", + "output_path = \"/home/cuuva/다운로드/output_fallen.mp4\"\n", + "fourcc = cv2.VideoWriter_fourcc(*'mp4v')\n", + "fps = cap.get(cv2.CAP_PROP_FPS)\n", + "width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n", + "height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n", + "out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))\n", + "\n", + "# ----------------------------\n", + "# 3. 클래스 이름 및 색상 정의\n", + "# ----------------------------\n", + "class_names = {0: \"fallen\"} # 단일 클래스\n", + "box_color = (0, 0, 255) # 빨간색 (BGR)\n", + "\n", + "# ----------------------------\n", + "# 4. 프레임별 inference & 시각화\n", + "# ----------------------------\n", + "# while 루프 내부\n", + "while cap.isOpened():\n", + " ret, frame = cap.read()\n", + " if not ret:\n", + " break\n", + "\n", + " results = model.predict(frame)[0]\n", + " for box, cls, score in zip(results.boxes.xyxy, results.boxes.cls, results.boxes.conf):\n", + " x1, y1, x2, y2 = map(int, box)\n", + " cls = int(cls)\n", + " label = f\"{class_names[cls]} {score:.2f}\"\n", + " cv2.rectangle(frame, (x1, y1), (x2, y2), box_color, 2)\n", + " cv2.putText(frame, label, (x1, y1-10),\n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.5, box_color, 2)\n", + "\n", + " out.write(frame)\n", + "\n", + "cap.release()\n", + "out.release()\n", + "print(f\"Output video saved to {output_path}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9dfc665e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/swoon_detect/yolo_exp.ipynb b/swoon_detect/yolo_exp.ipynb new file mode 100644 index 0000000..9676df7 --- /dev/null +++ b/swoon_detect/yolo_exp.ipynb @@ -0,0 +1,1346 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "a7676704", + "metadata": {}, + "outputs": [], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3e94066a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "99b0442c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov8n.pt to 'yolov8n.pt': 100% ━━━━━━━━━━━━ 6.2MB 80.2MB/s 0.1s\n", + "New https://pypi.org/project/ultralytics/8.3.232 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/swoon_detect/swoon_detect.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=5, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=test, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=2, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=sw_detect, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/swoon_detect/sw_detect/test, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=1\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] \n", + " 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] \n", + " 2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True] \n", + " 3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2] \n", + " 4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True] \n", + " 5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n", + " 6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True] \n", + " 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n", + " 8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True] \n", + " 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 1 37248 ultralytics.nn.modules.block.C2f [192, 64, 1] \n", + " 16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1] \n", + " 19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1] \n", + " 22 [15, 18, 21] 1 751507 ultralytics.nn.modules.head.Detect [1, [64, 128, 256]] \n", + "Model summary: 129 layers, 3,011,043 parameters, 3,011,027 gradients, 8.2 GFLOPs\n", + "\n", + "Transferred 319/355 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt to 'yolo11n.pt': 100% ━━━━━━━━━━━━ 5.4MB 69.1MB/s 0.1s\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 10741.3±8674.9 MB/s, size: 3138.0 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/swoon_detection/Training/labels/01... 1294 images, 101 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 1395/1395 8.9Kit/s 0.2ss\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/swoon_detection/Training/labels/01.cache\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.33G total, 0.15G reserved, 0.06G allocated, 31.12G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n", + " 3011043 8.194 3.456 28.52 221.4 (1, 3, 640, 640) list\n", + " 3011043 16.39 3.999 4.5 24.42 (2, 3, 640, 640) list\n", + " 3011043 32.78 4.272 5.119 24.48 (4, 3, 640, 640) list\n", + " 3011043 65.55 4.983 5.584 30.13 (8, 3, 640, 640) list\n", + " 3011043 131.1 6.126 7.802 40.59 (16, 3, 640, 640) list\n", + " 3011043 262.2 4.863 15.04 54.22 (32, 3, 640, 640) list\n", + " 3011043 524.4 10.561 30.92 104.5 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 141 for CUDA:0 19.16G/31.33G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 13251.1±2708.2 MB/s, size: 3604.8 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/swoon_detection/Training/labels/01.cache... 1294 images, 101 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 1395/1395 4.9Mit/s 0.0s0s\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 7220.3±4763.2 MB/s, size: 3721.2 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/experiment/datasets/swoon_detection/Validation/labels/03... 553 images, 35 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 588/588 6.9Kit/s 0.1s\n", + "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/swoon_detection/Validation/labels/03.cache\n", + "Plotting labels to /home/cuuva/experiment/swoon_detect/sw_detect/test/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0011015625000000001), 63 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/swoon_detect/sw_detect/test\u001b[0m\n", + "Starting training for 5 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/5 18.7G 0.9334 3.789 0.9624 227 640: 100% ━━━━━━━━━━━━ 10/10 0.5it/s 21.8s.6ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 3/3 2.4it/s 1.3s1.1s\n", + " all 588 553 0.00273 0.872 0.592 0.342\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/5 18.7G 0.9894 1.828 0.9224 217 640: 100% ━━━━━━━━━━━━ 10/10 1.1it/s 9.3s.5ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 3/3 2.2it/s 1.4s1.2s\n", + " all 588 553 0.000806 0.0452 0.0232 0.019\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/5 18.7G 0.8474 0.8674 0.9355 223 640: 100% ━━━━━━━━━━━━ 10/10 0.3it/s 38.8s.5s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 3/3 4.5it/s 0.7s0.6s\n", + " all 588 553 0 0 0 0\n", + "\u001b[34m\u001b[1mEarlyStopping: \u001b[0mTraining stopped early as no improvement observed in last 2 epochs. Best results observed at epoch 1, best model saved as best.pt.\n", + "To update EarlyStopping(patience=2) pass a new patience value, i.e. `patience=300` or use `patience=0` to disable EarlyStopping.\n", + "\n", + "3 epochs completed in 0.021 hours.\n", + "Optimizer stripped from /home/cuuva/experiment/swoon_detect/sw_detect/test/weights/last.pt, 6.2MB\n", + "Optimizer stripped from /home/cuuva/experiment/swoon_detect/sw_detect/test/weights/best.pt, 6.2MB\n", + "\n", + "Validating /home/cuuva/experiment/swoon_detect/sw_detect/test/weights/best.pt...\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 3/3 1.8it/s 1.7s1.5s\n", + " all 588 553 0.00273 0.872 0.588 0.342\n", + "Speed: 0.0ms preprocess, 0.2ms inference, 0.0ms loss, 1.0ms postprocess per image\n", + "Results saved to \u001b[1m/home/cuuva/experiment/swoon_detect/sw_detect/test\u001b[0m\n" + ] + } + ], + "source": [ + "# Load a pretrained YOLO11n model\n", + "model = YOLO(\"yolov8n.pt\")\n", + "\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/swoon_detect/swoon_detect.yaml\",\n", + " epochs=5,\n", + " imgsz=640,\n", + " batch= -1,\n", + " device=\"cuda\",\n", + " optimizer = 'AdamW',\n", + " lr0 = 0.001,\n", + " patience = 2,\n", + " project = 'sw_detect',\n", + " name = 'test'\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2c701957", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.232 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/swoon_detect/swoon_detect.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=300, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=final_100epoch, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=50, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=sw_detect, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=1\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] \n", + " 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] \n", + " 2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True] \n", + " 3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2] \n", + " 4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True] \n", + " 5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n", + " 6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True] \n", + " 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n", + " 8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True] \n", + " 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 1 37248 ultralytics.nn.modules.block.C2f [192, 64, 1] \n", + " 16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1] \n", + " 19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1] \n", + " 22 [15, 18, 21] 1 751507 ultralytics.nn.modules.head.Detect [1, [64, 128, 256]] \n", + "Model summary: 129 layers, 3,011,043 parameters, 3,011,027 gradients, 8.2 GFLOPs\n", + "\n", + "Transferred 319/355 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 9359.8±10220.7 MB/s, size: 3183.9 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/swoon_detection/Training/labels/01... 1294 images, 1884 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 3178/3178 11.4Kit/s 0.3s1s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/swoon_detection/Training/labels/01.cache\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.33G total, 1.61G reserved, 0.19G allocated, 29.54G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n", + " 3011043 8.194 4.484 5.127 26.65 (1, 3, 640, 640) list\n", + " 3011043 16.39 4.509 4.424 20.21 (2, 3, 640, 640) list\n", + " 3011043 32.78 5.077 4.003 24.42 (4, 3, 640, 640) list\n", + " 3011043 65.55 5.872 5.059 30.88 (8, 3, 640, 640) list\n", + " 3011043 131.1 7.015 7.777 40.27 (16, 3, 640, 640) list\n", + " 3011043 262.2 5.637 14.69 54.28 (32, 3, 640, 640) list\n", + " 3011043 524.4 11.044 30.79 104 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 130 for CUDA:0 19.73G/31.33G (63%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 3966.5±3496.5 MB/s, size: 3344.7 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/swoon_detection/Training/labels/01.cache... 1294 images, 1884 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 3178/3178 12.8Mit/s 0.0ss\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 7169.7±6785.2 MB/s, size: 2736.1 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/experiment/datasets/swoon_detection/Validation/labels/03... 553 images, 838 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 1391/1391 7.0Kit/s 0.2s.4s\n", + "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/swoon_detection/Validation/labels/03.cache\n", + "Plotting labels to /home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.001015625), 63 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch\u001b[0m\n", + "Starting training for 300 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/300 19.9G 0.9969 3.111 0.9546 34 640: 100% ━━━━━━━━━━━━ 25/25 0.8it/s 32.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.6it/s 1.1s0.2s\n", + " all 1391 553 0 0 0 0\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/300 19.9G 0.8853 0.81 0.9597 34 640: 100% ━━━━━━━━━━━━ 25/25 1.2it/s 21.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 8.7it/s 0.7s0.2s\n", + " all 1391 553 0 0 0 0\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/300 19.9G 0.838 0.714 0.9418 41 640: 100% ━━━━━━━━━━━━ 25/25 0.8it/s 32.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.614 0.467 0.552 0.417\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/300 19.9G 0.7963 0.6603 0.9216 45 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.9it/s 2.1s0.4s\n", + " all 1391 553 0.81 0.494 0.67 0.388\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/300 19.9G 0.8114 0.6338 0.9404 42 640: 100% ━━━━━━━━━━━━ 25/25 1.2it/s 21.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.1it/s 1.9s0.4s\n", + " all 1391 553 0.902 0.764 0.818 0.543\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/300 19.9G 0.7744 0.5917 0.9234 37 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.0it/s 2.0s0.4s\n", + " all 1391 553 0.797 0.73 0.705 0.454\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/300 19.9G 0.7717 0.578 0.9199 34 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 9.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.8it/s 2.2s0.5s\n", + " all 1391 553 0.868 0.832 0.868 0.635\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/300 19.9G 0.7489 0.555 0.9154 44 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 9.8s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 1.9it/s 3.2s0.7ss\n", + " all 1391 553 0.819 0.765 0.803 0.547\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/300 19.9G 0.7256 0.5317 0.9021 38 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 9.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.0it/s 2.0s0.4s\n", + " all 1391 553 0.879 0.848 0.88 0.664\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/300 19.9G 0.7306 0.5187 0.912 46 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.8it/s 2.2s0.5s\n", + " all 1391 553 0.846 0.821 0.843 0.603\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 11/300 19.9G 0.7122 0.5281 0.9049 53 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.7it/s 1.3s0.3s\n", + " all 1391 553 0.897 0.857 0.891 0.663\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 12/300 19.9G 0.6864 0.4963 0.8971 39 640: 100% ━━━━━━━━━━━━ 25/25 2.8it/s 9.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.3it/s 1.1s0.3s\n", + " all 1391 553 0.898 0.834 0.852 0.622\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 13/300 19.9G 0.6638 0.4757 0.8969 35 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.876 0.843 0.826 0.581\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 14/300 19.9G 0.6892 0.4911 0.8962 46 640: 100% ━━━━━━━━━━━━ 25/25 3.0it/s 8.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.2it/s 1.4s0.3s\n", + " all 1391 553 0.877 0.865 0.866 0.636\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 15/300 19.9G 0.6763 0.4774 0.8976 50 640: 100% ━━━━━━━━━━━━ 25/25 2.8it/s 9.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.1it/s 1.5s0.3s\n", + " all 1391 553 0.9 0.832 0.869 0.639\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 16/300 19.9G 0.6348 0.4648 0.8834 50 640: 100% ━━━━━━━━━━━━ 25/25 2.9it/s 8.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.6it/s 1.7s0.3s\n", + " all 1391 553 0.889 0.872 0.881 0.667\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 17/300 19.9G 0.6552 0.4611 0.8838 37 640: 100% ━━━━━━━━━━━━ 25/25 2.9it/s 8.8s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.6it/s 1.7s0.4s\n", + " all 1391 553 0.892 0.834 0.86 0.622\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 18/300 19.9G 0.64 0.4523 0.8795 47 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.8it/s 2.1s0.4s\n", + " all 1391 553 0.884 0.816 0.852 0.634\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 19/300 19.9G 0.6227 0.4525 0.8849 40 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.1s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.5it/s 1.7s0.3s\n", + " all 1391 553 0.912 0.843 0.88 0.648\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 20/300 19.9G 0.6345 0.4443 0.8851 46 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.8s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.6it/s 2.3s0.5s\n", + " all 1391 553 0.877 0.823 0.817 0.555\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 21/300 19.9G 0.6382 0.443 0.8804 38 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.8it/s 2.1s0.5s\n", + " all 1391 553 0.895 0.852 0.861 0.605\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 22/300 19.9G 0.6077 0.4324 0.8729 59 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.3s0.4s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.5it/s 2.4s0.5s\n", + " all 1391 553 0.891 0.857 0.841 0.62\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 23/300 19.9G 0.6207 0.4323 0.8735 46 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.3it/s 2.6s0.6s\n", + " all 1391 553 0.91 0.832 0.871 0.663\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 24/300 19.9G 0.6181 0.4311 0.8788 55 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.5it/s 2.4s0.5s\n", + " all 1391 553 0.887 0.842 0.874 0.642\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 25/300 19.9G 0.6198 0.43 0.8777 50 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.8s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.6it/s 2.3s0.4ss\n", + " all 1391 553 0.902 0.832 0.873 0.688\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 26/300 19.9G 0.6166 0.423 0.8727 57 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 9.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.6it/s 2.3s0.5s\n", + " all 1391 553 0.936 0.868 0.901 0.679\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 27/300 19.9G 0.5914 0.4062 0.8667 43 640: 100% ━━━━━━━━━━━━ 25/25 2.9it/s 8.7s0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 6.3it/s 1.0s0.2s\n", + " all 1391 553 0.921 0.846 0.888 0.658\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 28/300 19.9G 0.6104 0.4184 0.8687 37 640: 100% ━━━━━━━━━━━━ 25/25 3.0it/s 8.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 6.1it/s 1.0s0.2s\n", + " all 1391 553 0.908 0.863 0.878 0.655\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 29/300 19.9G 0.6058 0.418 0.8766 42 640: 100% ━━━━━━━━━━━━ 25/25 3.0it/s 8.3s0.2s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.9it/s 1.2s0.3s\n", + " all 1391 553 0.914 0.862 0.882 0.66\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 30/300 19.9G 0.606 0.4159 0.8768 48 640: 100% ━━━━━━━━━━━━ 25/25 3.0it/s 8.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.4it/s 1.1s0.2s\n", + " all 1391 553 0.894 0.853 0.897 0.7\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 31/300 19.9G 0.5879 0.4105 0.8654 41 640: 100% ━━━━━━━━━━━━ 25/25 2.9it/s 8.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.1it/s 1.5s0.3s\n", + " all 1391 553 0.907 0.866 0.885 0.667\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 32/300 19.9G 0.5835 0.401 0.8628 50 640: 100% ━━━━━━━━━━━━ 25/25 2.9it/s 8.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.2it/s 1.4s0.3s\n", + " all 1391 553 0.92 0.889 0.901 0.671\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 33/300 19.9G 0.5884 0.4116 0.8679 40 640: 100% ━━━━━━━━━━━━ 25/25 3.0it/s 8.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.3it/s 1.1s0.3s\n", + " all 1391 553 0.921 0.848 0.911 0.695\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 34/300 19.9G 0.5913 0.4086 0.8747 41 640: 100% ━━━━━━━━━━━━ 25/25 3.0it/s 8.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.8it/s 1.3s0.3s\n", + " all 1391 553 0.917 0.856 0.886 0.648\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 35/300 19.9G 0.5735 0.4081 0.865 45 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.908 0.842 0.884 0.659\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 36/300 19.9G 0.5741 0.398 0.8661 40 640: 100% ━━━━━━━━━━━━ 25/25 1.8it/s 14.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.5it/s 1.7s0.4s\n", + " all 1391 553 0.909 0.866 0.899 0.67\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 37/300 19.9G 0.5699 0.4 0.8673 49 640: 100% ━━━━━━━━━━━━ 25/25 1.8it/s 13.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.906 0.87 0.874 0.621\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 38/300 19.9G 0.5422 0.3833 0.8599 46 640: 100% ━━━━━━━━━━━━ 25/25 1.7it/s 14.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.6it/s 1.1s0.2s\n", + " all 1391 553 0.92 0.879 0.903 0.686\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 39/300 19.9G 0.5696 0.4002 0.8648 50 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.1it/s 1.2s0.3s\n", + " all 1391 553 0.924 0.878 0.91 0.701\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 40/300 19.9G 0.5658 0.3939 0.8605 36 640: 100% ━━━━━━━━━━━━ 25/25 1.9it/s 13.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.8it/s 1.0s0.2s\n", + " all 1391 553 0.905 0.875 0.907 0.713\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 41/300 19.9G 0.564 0.3844 0.8617 44 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.915 0.886 0.908 0.701\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 42/300 19.9G 0.5608 0.3903 0.8589 54 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.9it/s 1.5s0.3s\n", + " all 1391 553 0.907 0.886 0.911 0.734\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 43/300 19.9G 0.5449 0.3804 0.8539 46 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.9it/s 1.5s0.3s\n", + " all 1391 553 0.902 0.866 0.891 0.683\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 44/300 19.9G 0.5504 0.3723 0.856 57 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.7it/s 1.0s0.2s\n", + " all 1391 553 0.938 0.879 0.912 0.721\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 45/300 19.9G 0.551 0.3745 0.8563 56 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.1it/s 1.9s0.4s\n", + " all 1391 553 0.908 0.852 0.878 0.688\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 46/300 19.9G 0.5616 0.385 0.8683 45 640: 100% ━━━━━━━━━━━━ 25/25 1.9it/s 13.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.9it/s 2.1s0.5s\n", + " all 1391 553 0.908 0.859 0.874 0.644\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 47/300 19.9G 0.5547 0.3773 0.8551 47 640: 100% ━━━━━━━━━━━━ 25/25 2.0it/s 12.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.4it/s 1.8s0.4s\n", + " all 1391 553 0.913 0.877 0.901 0.69\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 48/300 19.9G 0.5665 0.3891 0.8615 50 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.8it/s 2.1s0.5s\n", + " all 1391 553 0.902 0.884 0.9 0.666\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 49/300 19.9G 0.5394 0.367 0.8585 38 640: 100% ━━━━━━━━━━━━ 25/25 2.1it/s 12.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.1it/s 1.9s0.4s\n", + " all 1391 553 0.896 0.846 0.89 0.673\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 50/300 19.9G 0.5483 0.3649 0.8562 50 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.2it/s 1.9s0.4s\n", + " all 1391 553 0.898 0.881 0.903 0.714\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 51/300 19.9G 0.5461 0.364 0.8593 47 640: 100% ━━━━━━━━━━━━ 25/25 2.0it/s 12.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.0it/s 2.0s0.4s\n", + " all 1391 553 0.901 0.877 0.888 0.677\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 52/300 19.9G 0.5446 0.3702 0.8601 39 640: 100% ━━━━━━━━━━━━ 25/25 1.5it/s 16.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.7it/s 1.3s0.3s\n", + " all 1391 553 0.907 0.883 0.896 0.684\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 53/300 19.9G 0.5291 0.3752 0.8544 50 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 6.1it/s 1.0s0.2s\n", + " all 1391 553 0.895 0.882 0.901 0.691\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 54/300 19.9G 0.5239 0.368 0.8535 53 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.8it/s 1.0s0.2s\n", + " all 1391 553 0.904 0.877 0.901 0.682\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 55/300 19.9G 0.537 0.3701 0.8593 46 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.3it/s 1.1s0.2s\n", + " all 1391 553 0.922 0.881 0.906 0.695\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 56/300 19.9G 0.533 0.3727 0.8545 43 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 9.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.7it/s 1.1s0.2s\n", + " all 1391 553 0.93 0.879 0.918 0.708\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 57/300 19.9G 0.5228 0.3638 0.8448 39 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.1it/s 1.2s0.2s\n", + " all 1391 553 0.939 0.862 0.904 0.694\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 58/300 19.9G 0.5359 0.3678 0.8521 44 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.936 0.852 0.886 0.685\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 59/300 19.9G 0.5117 0.3556 0.8444 49 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.6it/s 1.1s0.2s\n", + " all 1391 553 0.915 0.88 0.897 0.664\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 60/300 19.9G 0.5293 0.3584 0.8547 48 640: 100% ━━━━━━━━━━━━ 25/25 3.0it/s 8.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.3it/s 1.1s0.2s\n", + " all 1391 553 0.918 0.888 0.906 0.68\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 61/300 19.9G 0.5365 0.3633 0.8528 46 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.8s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.947 0.884 0.921 0.705\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 62/300 19.9G 0.5191 0.3547 0.8463 41 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.0it/s 1.2s0.3s\n", + " all 1391 553 0.927 0.877 0.898 0.683\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 63/300 19.9G 0.5105 0.3523 0.8513 43 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 9.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.7it/s 1.3s0.3s\n", + " all 1391 553 0.929 0.884 0.902 0.702\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 64/300 19.9G 0.5207 0.3634 0.8527 37 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.92 0.87 0.882 0.68\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 65/300 19.9G 0.5079 0.3481 0.8507 47 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 11.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.907 0.881 0.9 0.699\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 66/300 19.9G 0.5114 0.3475 0.8548 33 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.905 0.854 0.898 0.691\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 67/300 19.9G 0.5163 0.3454 0.8524 51 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.9it/s 1.2s0.3s\n", + " all 1391 553 0.923 0.884 0.908 0.715\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 68/300 19.9G 0.5081 0.3569 0.8485 39 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.8it/s 1.3s0.3s\n", + " all 1391 553 0.942 0.863 0.905 0.667\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 69/300 19.9G 0.4998 0.3368 0.8435 54 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.1it/s 1.2s0.3s\n", + " all 1391 553 0.926 0.885 0.903 0.683\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 70/300 19.9G 0.522 0.3523 0.8499 36 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.5it/s 1.1s0.2s\n", + " all 1391 553 0.925 0.87 0.909 0.693\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 71/300 19.9G 0.5013 0.3389 0.8487 45 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.8s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.1it/s 1.2s0.3s\n", + " all 1391 553 0.913 0.878 0.907 0.695\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 72/300 19.9G 0.4998 0.341 0.8455 47 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 11.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.8it/s 1.3s0.3s\n", + " all 1391 553 0.934 0.893 0.921 0.722\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 73/300 19.9G 0.5137 0.3429 0.8435 55 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.6it/s 1.1s0.2s\n", + " all 1391 553 0.933 0.875 0.898 0.697\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 74/300 19.9G 0.503 0.3392 0.8459 46 640: 100% ━━━━━━━━━━━━ 25/25 2.9it/s 8.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.4it/s 1.4s0.3s\n", + " all 1391 553 0.91 0.873 0.906 0.696\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 75/300 19.9G 0.4958 0.3447 0.844 42 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.1it/s 1.5s0.3s\n", + " all 1391 553 0.923 0.864 0.896 0.689\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 76/300 19.9G 0.4903 0.3378 0.8434 51 640: 100% ━━━━━━━━━━━━ 25/25 2.9it/s 8.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.2it/s 1.4s0.3s\n", + " all 1391 553 0.927 0.897 0.918 0.703\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 77/300 19.9G 0.494 0.326 0.8462 47 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.4it/s 1.4s0.3s\n", + " all 1391 553 0.923 0.895 0.906 0.694\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 78/300 19.9G 0.4974 0.3364 0.8464 48 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.1s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.929 0.877 0.914 0.699\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 79/300 19.9G 0.4982 0.3408 0.8432 56 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.8s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.898 0.89 0.912 0.695\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 80/300 19.9G 0.5109 0.3441 0.8501 37 640: 100% ━━━━━━━━━━━━ 25/25 1.9it/s 13.1s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.877 0.877 0.878 0.654\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 81/300 19.9G 0.5039 0.3406 0.8496 46 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 11.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.3it/s 1.4s0.3s\n", + " all 1391 553 0.915 0.872 0.915 0.743\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 82/300 19.9G 0.51 0.3365 0.8433 58 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.924 0.881 0.913 0.729\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 83/300 19.9G 0.4873 0.3315 0.8467 45 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 6.1it/s 1.0s0.2s\n", + " all 1391 553 0.909 0.881 0.894 0.696\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 84/300 19.9G 0.5065 0.3362 0.845 42 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.905 0.908 0.911 0.7\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 85/300 19.9G 0.487 0.3276 0.8368 50 640: 100% ━━━━━━━━━━━━ 25/25 2.1it/s 12.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.0it/s 1.2s0.3s\n", + " all 1391 553 0.927 0.884 0.91 0.715\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 86/300 19.9G 0.4871 0.3255 0.8377 47 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.905 0.857 0.898 0.687\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 87/300 19.9G 0.4899 0.3338 0.8445 52 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.9it/s 1.5s0.3s\n", + " all 1391 553 0.907 0.859 0.893 0.705\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 88/300 19.9G 0.4777 0.3208 0.8411 41 640: 100% ━━━━━━━━━━━━ 25/25 2.1it/s 12.1s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.913 0.877 0.905 0.719\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 89/300 19.9G 0.4629 0.3135 0.8375 42 640: 100% ━━━━━━━━━━━━ 25/25 2.1it/s 12.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.92 0.875 0.905 0.7\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 90/300 19.9G 0.4747 0.3203 0.8383 35 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.941 0.852 0.913 0.699\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 91/300 19.9G 0.4727 0.3183 0.8375 55 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.954 0.868 0.914 0.73\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 92/300 19.9G 0.4756 0.3235 0.8392 47 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.2it/s 1.4s0.3s\n", + " all 1391 553 0.937 0.854 0.907 0.712\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 93/300 19.9G 0.4693 0.3194 0.8356 40 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.1it/s 1.5s0.3s\n", + " all 1391 553 0.909 0.869 0.888 0.681\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 94/300 19.9G 0.4753 0.3269 0.8409 50 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.8it/s 1.3s0.3s\n", + " all 1391 553 0.942 0.855 0.901 0.692\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 95/300 19.9G 0.4841 0.329 0.8422 43 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.1it/s 1.5s0.3s\n", + " all 1391 553 0.928 0.839 0.897 0.71\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 96/300 19.9G 0.4791 0.3228 0.8447 39 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.9it/s 1.2s0.3s\n", + " all 1391 553 0.903 0.86 0.914 0.718\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 97/300 19.9G 0.4851 0.3274 0.8438 38 640: 100% ━━━━━━━━━━━━ 25/25 1.9it/s 13.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.8it/s 1.6s0.4s\n", + " all 1391 553 0.925 0.891 0.913 0.701\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 98/300 19.9G 0.4764 0.3179 0.8428 32 640: 100% ━━━━━━━━━━━━ 25/25 1.9it/s 13.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.1it/s 1.9s0.4s\n", + " all 1391 553 0.957 0.886 0.925 0.708\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 99/300 19.9G 0.4807 0.3315 0.8399 47 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.6it/s 1.7s0.3s\n", + " all 1391 553 0.931 0.873 0.912 0.697\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 100/300 19.9G 0.4728 0.3198 0.8406 39 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.6it/s 1.7s0.4s\n", + " all 1391 553 0.902 0.868 0.893 0.693\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 101/300 19.9G 0.4708 0.3148 0.8384 32 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.1it/s 1.5s0.3s\n", + " all 1391 553 0.914 0.854 0.903 0.712\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 102/300 19.9G 0.4622 0.3204 0.8428 64 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.1it/s 1.2s0.3s\n", + " all 1391 553 0.925 0.847 0.897 0.691\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 103/300 19.9G 0.4758 0.3242 0.8412 42 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.911 0.87 0.883 0.669\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 104/300 19.9G 0.4461 0.3066 0.8325 45 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.5it/s 1.1s0.2s\n", + " all 1391 553 0.915 0.863 0.888 0.699\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 105/300 19.9G 0.4686 0.3156 0.8369 55 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 11.1s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.0it/s 1.5s0.3s\n", + " all 1391 553 0.921 0.861 0.898 0.712\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 106/300 19.9G 0.4592 0.3085 0.8365 44 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.0it/s 1.2s0.3s\n", + " all 1391 553 0.916 0.861 0.901 0.703\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 107/300 19.9G 0.4587 0.3063 0.838 44 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.6it/s 1.6s0.4s\n", + " all 1391 553 0.91 0.892 0.918 0.716\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 108/300 19.9G 0.4754 0.3197 0.8439 62 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.5s0.4s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.9it/s 1.5s0.3s\n", + " all 1391 553 0.923 0.877 0.899 0.68\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 109/300 19.9G 0.4655 0.3134 0.8359 48 640: 100% ━━━━━━━━━━━━ 25/25 2.0it/s 12.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.6it/s 1.1s0.2s\n", + " all 1391 553 0.928 0.879 0.903 0.714\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 110/300 19.9G 0.4585 0.3139 0.8412 32 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.933 0.875 0.916 0.7\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 111/300 19.9G 0.4459 0.304 0.8292 47 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.3s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.1it/s 1.5s0.3s\n", + " all 1391 553 0.945 0.884 0.907 0.702\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 112/300 19.9G 0.4553 0.3107 0.8385 40 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 9.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.0it/s 1.2s0.3s\n", + " all 1391 553 0.905 0.872 0.9 0.692\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 113/300 19.9G 0.4645 0.311 0.836 33 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.1s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.9it/s 1.0s0.2s\n", + " all 1391 553 0.911 0.879 0.906 0.705\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 114/300 19.9G 0.47 0.3158 0.8351 47 640: 100% ━━━━━━━━━━━━ 25/25 2.5it/s 10.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.7it/s 1.3s0.3s\n", + " all 1391 553 0.908 0.873 0.894 0.687\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 115/300 19.9G 0.4566 0.31 0.8379 43 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.911 0.87 0.882 0.69\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 116/300 19.9G 0.4539 0.3119 0.8353 51 640: 100% ━━━━━━━━━━━━ 25/25 2.8it/s 9.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.8it/s 1.2s0.3s\n", + " all 1391 553 0.917 0.873 0.894 0.722\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 117/300 19.9G 0.4511 0.306 0.8316 47 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.2it/s 1.2s0.3s\n", + " all 1391 553 0.934 0.889 0.912 0.7\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 118/300 19.9G 0.4345 0.2954 0.8263 44 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.6it/s 1.3s0.3s\n", + " all 1391 553 0.923 0.872 0.896 0.694\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 119/300 19.9G 0.448 0.3034 0.8335 43 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 11.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.8it/s 1.3s0.3s\n", + " all 1391 553 0.916 0.865 0.894 0.71\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 120/300 19.9G 0.4626 0.3175 0.84 52 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.0it/s 1.2s0.3s\n", + " all 1391 553 0.941 0.863 0.911 0.712\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 121/300 19.9G 0.453 0.3118 0.8399 56 640: 100% ━━━━━━━━━━━━ 25/25 2.1it/s 11.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.2it/s 1.2s0.3s\n", + " all 1391 553 0.934 0.889 0.909 0.689\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 122/300 19.9G 0.4568 0.309 0.8397 34 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.9it/s 1.2s0.3s\n", + " all 1391 553 0.921 0.888 0.907 0.731\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 123/300 19.9G 0.4371 0.2953 0.829 55 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.931 0.872 0.896 0.706\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 124/300 19.9G 0.447 0.3018 0.8286 43 640: 100% ━━━━━━━━━━━━ 25/25 2.8it/s 8.9s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.8it/s 1.6s0.3s\n", + " all 1391 553 0.899 0.881 0.902 0.693\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 125/300 19.9G 0.4288 0.2904 0.8251 39 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 10.7s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.8it/s 1.2s0.3s\n", + " all 1391 553 0.923 0.872 0.892 0.686\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 126/300 19.9G 0.4351 0.2947 0.8236 58 640: 100% ━━━━━━━━━━━━ 25/25 2.7it/s 9.4s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 5.4it/s 1.1s0.2s\n", + " all 1391 553 0.92 0.877 0.901 0.68\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 127/300 19.9G 0.4362 0.2969 0.833 46 640: 100% ━━━━━━━━━━━━ 25/25 2.3it/s 11.0s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.5it/s 1.3s0.3s\n", + " all 1391 553 0.939 0.877 0.911 0.72\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 128/300 19.9G 0.4424 0.2982 0.8347 40 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.7it/s 1.3s0.3s\n", + " all 1391 553 0.912 0.893 0.908 0.705\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 129/300 19.9G 0.4445 0.3079 0.8389 41 640: 100% ━━━━━━━━━━━━ 25/25 2.6it/s 9.6s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.2it/s 1.4s0.3s\n", + " all 1391 553 0.925 0.89 0.904 0.701\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 130/300 19.9G 0.44 0.3038 0.831 51 640: 100% ━━━━━━━━━━━━ 25/25 2.2it/s 11.5s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 4.0it/s 1.5s0.3s\n", + " all 1391 553 0.921 0.892 0.908 0.709\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 131/300 19.9G 0.4385 0.2991 0.8269 58 640: 100% ━━━━━━━━━━━━ 25/25 2.4it/s 10.2s0.3s\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 3.8it/s 1.6s0.4s\n", + " all 1391 553 0.927 0.877 0.898 0.695\n", + "\u001b[34m\u001b[1mEarlyStopping: \u001b[0mTraining stopped early as no improvement observed in last 50 epochs. Best results observed at epoch 81, best model saved as best.pt.\n", + "To update EarlyStopping(patience=50) pass a new patience value, i.e. `patience=300` or use `patience=0` to disable EarlyStopping.\n", + "\n", + "131 epochs completed in 0.475 hours.\n", + "Optimizer stripped from /home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/last.pt, 6.2MB\n", + "Optimizer stripped from /home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.pt, 6.2MB\n", + "\n", + "Validating /home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.pt...\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 6/6 2.1it/s 2.9s0.7s\n", + " all 1391 553 0.915 0.872 0.915 0.743\n", + "Speed: 0.1ms preprocess, 0.2ms inference, 0.0ms loss, 0.6ms postprocess per image\n", + "Results saved to \u001b[1m/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch\u001b[0m\n" + ] + } + ], + "source": [ + "# Load a pretrained YOLO11n model\n", + "model = YOLO(\"yolov8n.pt\")\n", + "\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/swoon_detect/swoon_detect.yaml\",\n", + " epochs=300,\n", + " imgsz=640,\n", + " batch= -1,\n", + " device=\"cuda\",\n", + " optimizer = 'AdamW',\n", + " lr0 = 0.001,\n", + " patience = 50,\n", + " project = 'sw_detect',\n", + " name = 'final_100epoch'\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "e8e8027a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 5, 8400) (5.9 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 0.5s, saved as '/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.onnx' (11.7 MB)\n", + "\n", + "Export complete (0.7s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.onnx imgsz=640 data=/home/cuuva/experiment/swoon_detect/swoon_detect.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.onnx'" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = YOLO(\"/home/cuuva/experiment/swoon_detect/sw_detect/final_100epoch/weights/best.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0b7ad426", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✔ 변환 완료 → swoon_07_t000043.jpg\n", + "✔ 변환 완료 → swoon_07_t000069.jpg\n", + "✔ 변환 완료 → swoon_06_t000089.jpg\n", + "✔ 변환 완료 → 01_frame_000009.jpg\n", + "✔ 변환 완료 → 01_frame_000094.jpg\n", + "✔ 변환 완료 → swoon_07_t000020.jpg\n", + "✔ 변환 완료 → swoon_07_t000041.jpg\n", + "✔ 변환 완료 → swoon_21_t000007.jpg\n", + "✔ 변환 완료 → swoon_06_t000023.jpg\n", + "✔ 변환 완료 → swoon_01_t000066.jpg\n", + "✔ 변환 완료 → swoon_10_t000050.jpg\n", + "✔ 변환 완료 → swoon_20_t000040.jpg\n", + "✔ 변환 완료 → swoon_05_t000041.jpg\n", + "✔ 변환 완료 → swoon_22_t000020.jpg\n", + "✔ 변환 완료 → swoon_21_t000077.jpg\n", + "✔ 변환 완료 → swoon_09_t000079.jpg\n", + "✔ 변환 완료 → 01_frame_000005.jpg\n", + "✔ 변환 완료 → 16_frame_000036.jpg\n", + "✔ 변환 완료 → 17_frame_000068.jpg\n", + "✔ 변환 완료 → swoon_24_t000109.jpg\n", + "✔ 변환 완료 → swoon_16_t000072.jpg\n", + "✔ 변환 완료 → swoon_17_t000010.jpg\n", + "✔ 변환 완료 → 19_frame_000023.jpg\n", + "✔ 변환 완료 → 17_frame_000044.jpg\n", + "✔ 변환 완료 → 06_frame_000087.jpg\n", + "✔ 변환 완료 → swoon_07_t000037.jpg\n", + "✔ 변환 완료 → swoon_21_t000067.jpg\n", + "✔ 변환 완료 → swoon_17_t000018.jpg\n", + "✔ 변환 완료 → swoon_10_t000009.jpg\n", + "✔ 변환 완료 → swoon_07_t000053.jpg\n", + "✔ 변환 완료 → swoon_12_t000015.jpg\n", + "✔ 변환 완료 → swoon_10_t000078.jpg\n", + "✔ 변환 완료 → 09_frame_000018.jpg\n", + "✔ 변환 완료 → swoon_21_t000082.jpg\n", + "✔ 변환 완료 → swoon_10_t000072.jpg\n", + "✔ 변환 완료 → swoon_07_t000073.jpg\n", + "✔ 변환 완료 → 12_frame_000004.jpg\n", + "✔ 변환 완료 → swoon_17_t000069.jpg\n", + "✔ 변환 완료 → swoon_01_t000029.jpg\n", + "✔ 변환 완료 → 09_frame_000000.jpg\n", + "✔ 변환 완료 → swoon_02_t000036.jpg\n", + "✔ 변환 완료 → swoon_20_t000014.jpg\n", + "✔ 변환 완료 → swoon_16_t000031.jpg\n", + "✔ 변환 완료 → 21_frame_000017.jpg\n", + "✔ 변환 완료 → swoon_16_t000020.jpg\n", + "✔ 변환 완료 → 19_frame_000074.jpg\n", + "✔ 변환 완료 → 02_frame_000016.jpg\n", + "✔ 변환 완료 → swoon_21_t000011.jpg\n", + "✔ 변환 완료 → swoon_02_t000045.jpg\n", + "✔ 변환 완료 → swoon_09_t000072.jpg\n", + "✔ 변환 완료 → swoon_09_t000053.jpg\n", + "✔ 변환 완료 → swoon_06_t000072.jpg\n", + "✔ 변환 완료 → swoon_10_t000055.jpg\n", + "✔ 변환 완료 → swoon_10_t000035.jpg\n", + "✔ 변환 완료 → swoon_04_t000085.jpg\n", + "✔ 변환 완료 → swoon_04_t000036.jpg\n", + "✔ 변환 완료 → 09_frame_000075.jpg\n", + "✔ 변환 완료 → swoon_21_t000056.jpg\n", + "✔ 변환 완료 → swoon_01_t000012.jpg\n", + "✔ 변환 완료 → swoon_07_t000033.jpg\n", + "✔ 변환 완료 → swoon_19_t000043.jpg\n", + "✔ 변환 완료 → swoon_16_t000050.jpg\n", + "✔ 변환 완료 → swoon_01_t000003.jpg\n", + "✔ 변환 완료 → swoon_06_t000027.jpg\n", + "✔ 변환 완료 → swoon_07_t000048.jpg\n", + "✔ 변환 완료 → swoon_04_t000024.jpg\n", + "✔ 변환 완료 → swoon_22_t000073.jpg\n", + "✔ 변환 완료 → swoon_24_t000050.jpg\n", + "✔ 변환 완료 → swoon_06_t000076.jpg\n", + "✔ 변환 완료 → swoon_09_t000024.jpg\n", + "✔ 변환 완료 → 02_frame_000127.jpg\n", + "✔ 변환 완료 → swoon_24_t000093.jpg\n", + "✔ 변환 완료 → swoon_05_t000097.jpg\n", + "✔ 변환 완료 → 04_frame_000018.jpg\n", + "✔ 변환 완료 → 02_frame_000151.jpg\n", + "✔ 변환 완료 → swoon_09_t000036.jpg\n", + "✔ 변환 완료 → swoon_06_t000084.jpg\n", + "✔ 변환 완료 → swoon_05_t000044.jpg\n", + "✔ 변환 완료 → swoon_22_t000011.jpg\n", + "✔ 변환 완료 → swoon_10_t000064.jpg\n", + "✔ 변환 완료 → swoon_24_t000046.jpg\n", + "✔ 변환 완료 → 01_frame_000141.jpg\n", + "✔ 변환 완료 → swoon_01_t000041.jpg\n", + "✔ 변환 완료 → swoon_01_t000063.jpg\n", + "✔ 변환 완료 → swoon_17_t000027.jpg\n", + "✔ 변환 완료 → 10_frame_000019.jpg\n", + "✔ 변환 완료 → swoon_12_t000005.jpg\n", + "✔ 변환 완료 → swoon_24_t000101.jpg\n", + "✔ 변환 완료 → swoon_07_t000027.jpg\n", + "✔ 변환 완료 → 04_frame_000000.jpg\n", + "✔ 변환 완료 → swoon_01_t000026.jpg\n", + "✔ 변환 완료 → 16_frame_000052.jpg\n", + "✔ 변환 완료 → swoon_05_t000060.jpg\n", + "✔ 변환 완료 → swoon_02_t000020.jpg\n", + "✔ 변환 완료 → 21_frame_000053.jpg\n", + "✔ 변환 완료 → 06_frame_000164.jpg\n", + "✔ 변환 완료 → swoon_05_t000048.jpg\n", + "✔ 변환 완료 → swoon_07_t000044.jpg\n", + "✔ 변환 완료 → swoon_12_t000076.jpg\n", + "✔ 변환 완료 → 07_frame_000138.jpg\n", + "✔ 변환 완료 → 02_frame_000089.jpg\n", + "✔ 변환 완료 → 07_frame_000107.jpg\n", + "✔ 변환 완료 → swoon_01_t000045.jpg\n", + "✔ 변환 완료 → swoon_12_t000039.jpg\n", + "✔ 변환 완료 → swoon_12_t000053.jpg\n", + "✔ 변환 완료 → swoon_12_t000080.jpg\n", + "✔ 변환 완료 → 17_frame_000087.jpg\n", + "✔ 변환 완료 → swoon_16_t000081.jpg\n", + "✔ 변환 완료 → swoon_21_t000031.jpg\n", + "✔ 변환 완료 → swoon_20_t000036.jpg\n", + "✔ 변환 완료 → swoon_02_t000039.jpg\n", + "✔ 변환 완료 → swoon_04_t000090.jpg\n", + "✔ 변환 완료 → swoon_10_t000007.jpg\n", + "✔ 변환 완료 → 24_frame_000004.jpg\n", + "✔ 변환 완료 → swoon_05_t000065.jpg\n", + "✔ 변환 완료 → swoon_22_t000083.jpg\n", + "✔ 변환 완료 → 20_frame_000030.jpg\n", + "✔ 변환 완료 → swoon_22_t000068.jpg\n", + "✔ 변환 완료 → 06_frame_000003.jpg\n", + "✔ 변환 완료 → swoon_21_t000027.jpg\n", + "✔ 변환 완료 → swoon_19_t000072.jpg\n", + "✔ 변환 완료 → 21_frame_000150.jpg\n", + "✔ 변환 완료 → swoon_12_t000063.jpg\n", + "✔ 변환 완료 → swoon_17_t000083.jpg\n", + "✔ 변환 완료 → 04_frame_000072.jpg\n", + "✔ 변환 완료 → swoon_10_t000020.jpg\n", + "✔ 변환 완료 → swoon_04_t000001.jpg\n", + "✔ 변환 완료 → swoon_16_t000036.jpg\n", + "✔ 변환 완료 → swoon_12_t000043.jpg\n", + "✔ 변환 완료 → swoon_21_t000041.jpg\n", + "✔ 변환 완료 → swoon_16_t000075.jpg\n", + "✔ 변환 완료 → 02_frame_000108.jpg\n", + "✔ 변환 완료 → swoon_07_t000050.jpg\n", + "✔ 변환 완료 → swoon_09_t000028.jpg\n", + "✔ 변환 완료 → swoon_09_t000016.jpg\n", + "✔ 변환 완료 → 20_frame_000018.jpg\n", + "✔ 변환 완료 → 22_frame_000010.jpg\n", + "✔ 변환 완료 → swoon_19_t000082.jpg\n", + "✔ 변환 완료 → swoon_20_t000027.jpg\n", + "✔ 변환 완료 → 10_frame_000064.jpg\n", + "✔ 변환 완료 → swoon_21_t000015.jpg\n", + "✔ 변환 완료 → swoon_20_t000065.jpg\n", + "✔ 변환 완료 → swoon_10_t000024.jpg\n", + "✔ 변환 완료 → swoon_01_t000032.jpg\n", + "✔ 변환 완료 → swoon_20_t000075.jpg\n", + "✔ 변환 완료 → swoon_24_t000066.jpg\n", + "✔ 변환 완료 → swoon_19_t000022.jpg\n", + "✔ 변환 완료 → 10_frame_000050.jpg\n", + "✔ 변환 완료 → swoon_01_t000054.jpg\n", + "✔ 변환 완료 → swoon_17_t000040.jpg\n", + "✔ 변환 완료 → swoon_12_t000067.jpg\n", + "✔ 변환 완료 → swoon_05_t000101.jpg\n", + "✔ 변환 완료 → 06_frame_000127.jpg\n", + "✔ 변환 완료 → swoon_16_t000084.jpg\n", + "✔ 변환 완료 → 19_frame_000002.jpg\n", + "✔ 변환 완료 → swoon_07_t000074.jpg\n", + "✔ 변환 완료 → swoon_01_t000016.jpg\n", + "✔ 변환 완료 → swoon_19_t000027.jpg\n", + "✔ 변환 완료 → swoon_17_t000049.jpg\n", + "✔ 변환 완료 → swoon_17_t000054.jpg\n", + "✔ 변환 완료 → swoon_07_t000009.jpg\n", + "✔ 변환 완료 → swoon_22_t000055.jpg\n", + "✔ 변환 완료 → 16_frame_000047.jpg\n", + "✔ 변환 완료 → swoon_12_t000030.jpg\n", + "✔ 변환 완료 → 09_frame_000070.jpg\n", + "✔ 변환 완료 → swoon_20_t000055.jpg\n", + "✔ 변환 완료 → swoon_06_t000020.jpg\n", + "✔ 변환 완료 → swoon_19_t000058.jpg\n", + "✔ 변환 완료 → 21_frame_000116.jpg\n", + "✔ 변환 완료 → swoon_05_t000023.jpg\n", + "✔ 변환 완료 → 19_frame_000047.jpg\n", + "✔ 변환 완료 → swoon_24_t000019.jpg\n", + "✔ 변환 완료 → 05_frame_000065.jpg\n", + "✔ 변환 완료 → swoon_21_t000072.jpg\n", + "✔ 변환 완료 → 05_frame_000088.jpg\n", + "✔ 변환 완료 → swoon_24_t000023.jpg\n", + "✔ 변환 완료 → swoon_24_t000105.jpg\n", + "✔ 변환 완료 → swoon_16_t000016.jpg\n", + "✔ 변환 완료 → swoon_01_t000069.jpg\n", + "✔ 변환 완료 → 06_frame_000263.jpg\n", + "✔ 변환 완료 → swoon_06_t000056.jpg\n", + "✔ 변환 완료 → swoon_21_t000019.jpg\n", + "✔ 변환 완료 → swoon_02_t000066.jpg\n", + "✔ 변환 완료 → 05_frame_000025.jpg\n", + "✔ 변환 완료 → swoon_09_t000032.jpg\n", + "✔ 변환 완료 → swoon_04_t000021.jpg\n", + "✔ 변환 완료 → swoon_09_t000075.jpg\n", + "✔ 변환 완료 → swoon_21_t000050.jpg\n", + "✔ 변환 완료 → 10_frame_000030.jpg\n", + "✔ 변환 완료 → swoon_01_t000043.jpg\n", + "✔ 변환 완료 → swoon_07_t000058.jpg\n", + "✔ 변환 완료 → swoon_16_t000088.jpg\n", + "✔ 변환 완료 → swoon_06_t000009.jpg\n", + "✔ 변환 완료 → swoon_06_t000044.jpg\n", + "✔ 변환 완료 → swoon_02_t000024.jpg\n", + "✔ 변환 완료 → 21_frame_000079.jpg\n", + "✔ 변환 완료 → 06_frame_000061.jpg\n", + "✔ 변환 완료 → swoon_02_t000076.jpg\n", + "✔ 변환 완료 → 19_frame_000051.jpg\n", + "✔ 변환 완료 → swoon_10_t000012.jpg\n", + "✔ 변환 완료 → swoon_20_t000021.jpg\n", + "✔ 변환 완료 → swoon_09_t000026.jpg\n", + "✔ 변환 완료 → 07_frame_000067.jpg\n", + "✔ 변환 완료 → swoon_16_t000027.jpg\n", + "✔ 변환 완료 → swoon_21_t000062.jpg\n", + "✔ 변환 완료 → 10_frame_000046.jpg\n", + "✔ 변환 완료 → swoon_10_t000022.jpg\n", + "✔ 변환 완료 → swoon_09_t000009.jpg\n", + "✔ 변환 완료 → swoon_07_t000035.jpg\n", + "✔ 변환 완료 → swoon_17_t000058.jpg\n", + "✔ 변환 완료 → swoon_04_t000070.jpg\n", + "✔ 변환 완료 → swoon_07_t000011.jpg\n", + "✔ 변환 완료 → 07_frame_000000.jpg\n", + "✔ 변환 완료 → swoon_20_t000030.jpg\n", + "✔ 변환 완료 → 24_frame_000045.jpg\n", + "✔ 변환 완료 → 05_frame_000120.jpg\n", + "✔ 변환 완료 → swoon_09_t000043.jpg\n", + "✔ 변환 완료 → swoon_05_t000006.jpg\n", + "✔ 변환 완료 → swoon_07_t000031.jpg\n", + "✔ 변환 완료 → 24_frame_000072.jpg\n", + "✔ 변환 완료 → swoon_16_t000046.jpg\n", + "✔ 변환 완료 → swoon_02_t000015.jpg\n", + "✔ 변환 완료 → swoon_10_t000067.jpg\n", + "✔ 변환 완료 → swoon_12_t000011.jpg\n", + "✔ 변환 완료 → swoon_21_t000059.jpg\n", + "✔ 변환 완료 → 10_frame_000060.jpg\n", + "✔ 변환 완료 → swoon_07_t000023.jpg\n", + "✔ 변환 완료 → swoon_20_t000045.jpg\n", + "✔ 변환 완료 → swoon_05_t000063.jpg\n", + "✔ 변환 완료 → swoon_10_t000045.jpg\n", + "✔ 변환 완료 → swoon_17_t000014.jpg\n", + "✔ 변환 완료 → swoon_17_t000022.jpg\n", + "✔ 변환 완료 → swoon_19_t000033.jpg\n", + "✔ 변환 완료 → 10_frame_000009.jpg\n", + "✔ 변환 완료 → swoon_24_t000082.jpg\n", + "✔ 변환 완료 → swoon_20_t000079.jpg\n", + "✔ 변환 완료 → 06_frame_000029.jpg\n", + "✔ 변환 완료 → swoon_19_t000068.jpg\n", + "✔ 변환 완료 → swoon_17_t000060.jpg\n", + "✔ 변환 완료 → 02_frame_000052.jpg\n", + "✔ 변환 완료 → swoon_09_t000042.jpg\n", + "✔ 변환 완료 → 17_frame_000025.jpg\n", + "✔ 변환 완료 → swoon_19_t000047.jpg\n", + "✔ 변환 완료 → 12_frame_000017.jpg\n", + "✔ 변환 완료 → swoon_02_t000071.jpg\n", + "✔ 변환 완료 → swoon_22_t000042.jpg\n", + "✔ 변환 완료 → swoon_06_t000088.jpg\n", + "✔ 변환 완료 → swoon_20_t000009.jpg\n", + "✔ 변환 완료 → swoon_21_t000037.jpg\n", + "✔ 변환 완료 → swoon_10_t000033.jpg\n", + "✔ 변환 완료 → 09_frame_000045.jpg\n", + "✔ 변환 완료 → swoon_07_t000014.jpg\n", + "✔ 변환 완료 → 17_frame_000002.jpg\n", + "✔ 변환 완료 → swoon_09_t000056.jpg\n", + "✔ 변환 완료 → 16_frame_000002.jpg\n", + "✔ 변환 완료 → swoon_09_t000041.jpg\n", + "✔ 변환 완료 → swoon_22_t000089.jpg\n", + "✔ 변환 완료 → 16_frame_000025.jpg\n", + "✔ 변환 완료 → swoon_02_t000052.jpg\n", + "✔ 변환 완료 → swoon_05_t000051.jpg\n", + "✔ 변환 완료 → swoon_09_t000039.jpg\n", + "✔ 변환 완료 → swoon_09_t000019.jpg\n", + "✔ 변환 완료 → swoon_09_t000065.jpg\n", + "✔ 변환 완료 → swoon_21_t000023.jpg\n", + "✔ 변환 완료 → swoon_19_t000025.jpg\n", + "✔ 변환 완료 → swoon_04_t000056.jpg\n", + "✔ 변환 완료 → swoon_19_t000018.jpg\n", + "✔ 변환 완료 → 22_frame_000053.jpg\n", + "✔ 변환 완료 → swoon_09_t000068.jpg\n", + "✔ 변환 완료 → swoon_01_t000074.jpg\n", + "✔ 변환 완료 → swoon_09_t000029.jpg\n", + "✔ 변환 완료 → swoon_02_t000048.jpg\n", + "✔ 변환 완료 → swoon_09_t000062.jpg\n", + "✔ 변환 완료 → 02_frame_000124.jpg\n", + "✔ 변환 완료 → swoon_24_t000037.jpg\n", + "✔ 변환 완료 → swoon_19_t000038.jpg\n", + "✔ 변환 완료 → swoon_10_t000081.jpg\n", + "✔ 변환 완료 → swoon_17_t000035.jpg\n", + "✔ 변환 완료 → swoon_20_t000070.jpg\n", + "✔ 변환 완료 → 07_frame_000012.jpg\n", + "✔ 변환 완료 → 06_frame_000116.jpg\n", + "✔ 변환 완료 → 05_frame_000109.jpg\n", + "✔ 변환 완료 → swoon_17_t000075.jpg\n", + "✔ 변환 완료 → swoon_12_t000071.jpg\n", + "✔ 변환 완료 → swoon_19_t000087.jpg\n", + "✔ 변환 완료 → swoon_05_t000032.jpg\n", + "✔ 변환 완료 → swoon_09_t000082.jpg\n", + "✔ 변환 완료 → 01_frame_000144.jpg\n", + "✔ 변환 완료 → swoon_17_t000079.jpg\n", + "✔ 변환 완료 → swoon_05_t000081.jpg\n", + "✔ 변환 완료 → swoon_20_t000024.jpg\n", + "✔ 변환 완료 → swoon_05_t000086.jpg\n", + "✔ 변환 완료 → swoon_16_t000061.jpg\n", + "✔ 변환 완료 → 07_frame_000037.jpg\n", + "✔ 변환 완료 → swoon_20_t000050.jpg\n", + "✔ 변환 완료 → swoon_09_t000046.jpg\n", + "✔ 변환 완료 → swoon_09_t000058.jpg\n", + "✔ 변환 완료 → swoon_22_t000024.jpg\n", + "✔ 변환 완료 → swoon_09_t000038.jpg\n", + "✔ 변환 완료 → swoon_07_t000064.jpg\n", + "\n", + "🔥 완료! 총 300개 이미지가 640x384 해상도로 변환되었습니다.\n", + "📂 저장 위치: /home/cuuva/다운로드/Quant_swoon/Quant_swoon_resize\n" + ] + } + ], + "source": [ + "import os\n", + "import cv2\n", + "\n", + "src_dir = \"/home/cuuva/다운로드/Quant_swoon/external1\"\n", + "dst_dir = \"/home/cuuva/다운로드/Quant_swoon/Quant_swoon_resize\"\n", + "\n", + "# 만들 폴더가 없으면 생성\n", + "os.makedirs(dst_dir, exist_ok=True)\n", + "\n", + "# 원하는 크기\n", + "target_size = (640, 384) # (width, height)\n", + "\n", + "count = 0\n", + "\n", + "for file in os.listdir(src_dir):\n", + " if file.lower().endswith((\".jpg\", \".jpeg\", \".png\")):\n", + " img_path = os.path.join(src_dir, file)\n", + " save_path = os.path.join(dst_dir, file)\n", + "\n", + " img = cv2.imread(img_path)\n", + "\n", + " if img is None:\n", + " print(f\"⚠ 이미지 읽기 실패 → {file}\")\n", + " continue\n", + "\n", + " resized = cv2.resize(img, target_size, interpolation=cv2.INTER_AREA)\n", + " cv2.imwrite(save_path, resized)\n", + "\n", + " count += 1\n", + " print(f\"✔ 변환 완료 → {file}\")\n", + "\n", + "print(f\"\\n🔥 완료! 총 {count}개 이미지가 640x384 해상도로 변환되었습니다.\")\n", + "print(f\"📂 저장 위치: {dst_dir}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3de7684", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ultralytics b/ultralytics new file mode 160000 index 0000000..25738f5 --- /dev/null +++ b/ultralytics @@ -0,0 +1 @@ +Subproject commit 25738f5195fb98021521e733f406208ed494ffa3 diff --git a/vis5class_exp/vis5class.yaml b/vis5class_exp/vis5class.yaml new file mode 100644 index 0000000..a237322 --- /dev/null +++ b/vis5class_exp/vis5class.yaml @@ -0,0 +1,9 @@ +# path: /home/cuuva/experiment/datasets/VisDrone # 데이터 경로 +train: /home/cuuva/experiment/datasets/vis5class/images/train +val: /home/cuuva/experiment/datasets/vis5class/images/val +test: /home/cuuva/experiment/datasets/vis5class/images/test + +# nc: 7 +nc: 5 + +names: ['person','car', 'truck', 'bus', 'motor'] diff --git a/vis5class_exp/vis5class_exp.ipynb b/vis5class_exp/vis5class_exp.ipynb new file mode 100644 index 0000000..838b866 --- /dev/null +++ b/vis5class_exp/vis5class_exp.ipynb @@ -0,0 +1,955 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "6b410dab", + "metadata": {}, + "outputs": [], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f66929b6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "e5e2ab7b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🔍 Checking split: train (files: 6471)\n", + "\n", + "🔍 Checking split: val (files: 548)\n", + "\n", + "🔍 Checking split: test (files: 1610)\n", + "\n", + "📌 클래스 통계 결과:\n", + " - Class 0: 147747 개\n", + " - Class 1: 219707 개\n", + " - Class 2: 16284 개\n", + " - Class 3: 9117 개\n", + " - Class 4: 40378 개\n", + "\n", + "총 클래스 종류: 5\n" + ] + } + ], + "source": [ + "import os\n", + "from collections import Counter\n", + "\n", + "label_root = \"/home/cuuva/experiment/datasets/vis5class/labels\"\n", + "splits = [\"train\", \"val\", \"test\"]\n", + "\n", + "class_counter = Counter()\n", + "\n", + "for split in splits:\n", + " split_path = os.path.join(label_root, split)\n", + " \n", + " # 라벨 txt 파일 탐색\n", + " label_files = [f for f in os.listdir(split_path) if f.endswith(\".txt\")]\n", + " \n", + " print(f\"\\n🔍 Checking split: {split} (files: {len(label_files)})\")\n", + "\n", + " for file in label_files:\n", + " file_path = os.path.join(split_path, file)\n", + " with open(file_path, \"r\") as f:\n", + " for line in f.readlines():\n", + " if line.strip(): # 빈 줄 제거\n", + " class_id = line.split()[0] # 첫번째 값 = 클래스\n", + " class_counter[class_id] += 1\n", + "\n", + "# 최종 결과 출력\n", + "print(\"\\n📌 클래스 통계 결과:\")\n", + "for cls, count in sorted(class_counter.items(), key=lambda x: int(x[0])):\n", + " print(f\" - Class {cls}: {count} 개\")\n", + "\n", + "print(f\"\\n총 클래스 종류: {len(class_counter)}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6bb38c03", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov8m.pt to 'yolov8m.pt': 100% ━━━━━━━━━━━━ 49.7MB 70.1MB/s 0.7s0.7s<0.0s\n", + "New https://pypi.org/project/ultralytics/8.3.234 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/vis5class_exp/vis5class.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=300, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8m.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=5class, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=40, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=vis5class_v8m, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=5\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 1392 ultralytics.nn.modules.conv.Conv [3, 48, 3, 2] \n", + " 1 -1 1 41664 ultralytics.nn.modules.conv.Conv [48, 96, 3, 2] \n", + " 2 -1 2 111360 ultralytics.nn.modules.block.C2f [96, 96, 2, True] \n", + " 3 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2] \n", + " 4 -1 4 813312 ultralytics.nn.modules.block.C2f [192, 192, 4, True] \n", + " 5 -1 1 664320 ultralytics.nn.modules.conv.Conv [192, 384, 3, 2] \n", + " 6 -1 4 3248640 ultralytics.nn.modules.block.C2f [384, 384, 4, True] \n", + " 7 -1 1 1991808 ultralytics.nn.modules.conv.Conv [384, 576, 3, 2] \n", + " 8 -1 2 3985920 ultralytics.nn.modules.block.C2f [576, 576, 2, True] \n", + " 9 -1 1 831168 ultralytics.nn.modules.block.SPPF [576, 576, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 2 1993728 ultralytics.nn.modules.block.C2f [960, 384, 2] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 2 517632 ultralytics.nn.modules.block.C2f [576, 192, 2] \n", + " 16 -1 1 332160 ultralytics.nn.modules.conv.Conv [192, 192, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 2 1846272 ultralytics.nn.modules.block.C2f [576, 384, 2] \n", + " 19 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 2 4207104 ultralytics.nn.modules.block.C2f [960, 576, 2] \n", + " 22 [15, 18, 21] 1 3778591 ultralytics.nn.modules.head.Detect [5, [192, 384, 576]] \n", + "Model summary: 169 layers, 25,859,215 parameters, 25,859,199 gradients, 79.1 GFLOPs\n", + "\n", + "Transferred 469/475 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt to 'yolo11n.pt': 100% ━━━━━━━━━━━━ 5.4MB 73.7MB/s 0.1s\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 12140.0±4222.1 MB/s, size: 260.7 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/vis5class/labels/train... 6471 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 6471/6471 5.3Kit/s 1.2s0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/0000137_02220_d_0000163.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/0000140_00118_d_0000002.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999945_00000_d_0000114.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999972_00000_d_0000158.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999981_00000_d_0000047.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999987_00000_d_0000049.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/vis5class/labels/train.cache\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.33G total, 0.25G reserved, 0.24G allocated, 30.85G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n", + " 25859215 79.08 2.382 28.74 146.3 (1, 3, 640, 640) list\n", + " 25859215 158.2 3.811 9.848 33.63 (2, 3, 640, 640) list\n", + " 25859215 316.3 5.216 13.39 46.45 (4, 3, 640, 640) list\n", + " 25859215 632.6 8.735 26.08 69.81 (8, 3, 640, 640) list\n", + " 25859215 1265 12.298 27.03 116.4 (16, 3, 640, 640) list\n", + " 25859215 2531 24.285 54.71 238.4 (32, 3, 640, 640) list\n", + " 25859215 5061 28.001 116.9 470.2 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 34 for CUDA:0 19.26G/31.33G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 12817.4±4106.6 MB/s, size: 235.0 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/vis5class/labels/train.cache... 6471 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 6471/6471 18.5Mit/s 0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/0000137_02220_d_0000163.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/0000140_00118_d_0000002.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999945_00000_d_0000114.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999972_00000_d_0000158.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999981_00000_d_0000047.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/vis5class/images/train/9999987_00000_d_0000049.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 7032.9±4571.8 MB/s, size: 153.1 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/experiment/datasets/vis5class/labels/val... 548 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 548/548 4.2Kit/s 0.1s0.1s\n", + "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/vis5class/labels/val.cache\n", + "Plotting labels to /home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 77 weight(decay=0.0), 84 weight(decay=0.00053125), 83 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class\u001b[0m\n", + "Starting training for 300 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/300 18.4G 1.445 1.19 0.9667 618 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 5.6it/s 1.6s0.2s\n", + " all 548 35895 0.526 0.312 0.326 0.191\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/300 20.8G 1.409 0.9562 0.9555 790 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:120.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.4it/s 1.4s0.2s\n", + " all 548 35895 0.536 0.354 0.386 0.226\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/300 18.8G 1.39 0.9126 0.9471 610 640: 100% ━━━━━━━━━━━━ 191/191 2.6it/s 1:120.3sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 5.4it/s 1.7s0.2s\n", + " all 548 35895 0.467 0.36 0.356 0.205\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/300 22G 1.378 0.8927 0.9436 1135 640: 100% ━━━━━━━━━━━━ 191/191 2.6it/s 1:120.3sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 4.7it/s 1.9s0.2s\n", + " all 548 35895 0.539 0.409 0.425 0.243\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/300 25.4G 1.349 0.8549 0.9388 714 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.7it/s 1.3s0.2s\n", + " all 548 35895 0.58 0.402 0.433 0.258\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/300 21.1G 1.319 0.8225 0.9321 640 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.7it/s 1.3s0.2s\n", + " all 548 35895 0.556 0.419 0.447 0.261\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/300 16.7G 1.31 0.8102 0.927 847 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.8it/s 1.3s0.2s\n", + " all 548 35895 0.578 0.417 0.444 0.26\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/300 22.1G 1.298 0.7965 0.925 836 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.572 0.42 0.454 0.267\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/300 23.8G 1.29 0.7875 0.9216 958 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.7it/s 1.4s0.2s\n", + " all 548 35895 0.623 0.433 0.477 0.284\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/300 21.9G 1.275 0.7749 0.92 845 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.8it/s 1.3s0.2s\n", + " all 548 35895 0.609 0.431 0.474 0.281\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 11/300 23.7G 1.266 0.7587 0.9175 857 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.618 0.442 0.482 0.289\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 12/300 23G 1.259 0.7559 0.9144 503 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.611 0.45 0.489 0.292\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 13/300 19.3G 1.253 0.7427 0.9112 1095 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.8it/s 1.3s0.2s\n", + " all 548 35895 0.601 0.449 0.486 0.286\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 14/300 20.9G 1.246 0.742 0.911 686 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.608 0.467 0.495 0.297\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 15/300 18.8G 1.241 0.7282 0.9084 598 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.648 0.451 0.504 0.304\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 16/300 20G 1.235 0.7257 0.9081 1140 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.628 0.464 0.512 0.305\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 17/300 21.8G 1.228 0.7206 0.9066 514 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.626 0.476 0.518 0.313\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 18/300 18.8G 1.231 0.7161 0.9061 902 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.621 0.466 0.506 0.306\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 19/300 16.6G 1.213 0.7062 0.904 832 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.612 0.48 0.518 0.316\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 20/300 18.7G 1.214 0.7021 0.903 716 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.622 0.484 0.516 0.312\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 21/300 19.1G 1.218 0.7065 0.9038 393 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.641 0.476 0.519 0.316\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 22/300 19G 1.199 0.6923 0.9001 815 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.622 0.471 0.516 0.315\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 23/300 18.9G 1.2 0.691 0.9 912 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.652 0.475 0.525 0.319\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 24/300 18.9G 1.192 0.6794 0.898 1114 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.643 0.487 0.528 0.323\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 25/300 22.8G 1.196 0.682 0.9 880 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.66 0.495 0.545 0.331\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 26/300 19G 1.187 0.6771 0.8983 1148 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.63 0.481 0.532 0.323\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 27/300 19.7G 1.19 0.6749 0.8966 1210 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.3sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.656 0.488 0.543 0.328\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 28/300 21.1G 1.191 0.6745 0.8952 947 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.623 0.503 0.531 0.324\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 29/300 19.8G 1.186 0.6704 0.8943 905 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.675 0.476 0.54 0.326\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 30/300 21.9G 1.179 0.6618 0.8955 560 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.672 0.489 0.54 0.331\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 31/300 19.1G 1.173 0.6644 0.8921 668 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.673 0.494 0.545 0.335\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 32/300 21.4G 1.178 0.6625 0.893 676 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.66 0.494 0.545 0.334\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 33/300 22.4G 1.168 0.653 0.8915 746 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.672 0.497 0.548 0.333\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 34/300 21.9G 1.162 0.6489 0.8903 892 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.651 0.492 0.54 0.329\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 35/300 22.9G 1.16 0.6461 0.8894 639 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.652 0.495 0.545 0.333\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 36/300 19.7G 1.162 0.6476 0.8903 1132 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.662 0.487 0.535 0.328\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 37/300 19.2G 1.156 0.6424 0.8889 966 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.669 0.504 0.55 0.337\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 38/300 19G 1.162 0.6471 0.8897 1098 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.663 0.509 0.552 0.337\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 39/300 19.6G 1.156 0.6399 0.8871 795 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.687 0.489 0.545 0.333\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 40/300 22.7G 1.149 0.6347 0.8869 1149 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.679 0.496 0.547 0.337\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 41/300 18.5G 1.145 0.6289 0.8848 800 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.677 0.491 0.551 0.34\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 42/300 21.2G 1.147 0.6306 0.8872 945 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.666 0.514 0.557 0.343\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 43/300 23.5G 1.147 0.6291 0.8861 772 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.677 0.514 0.56 0.345\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 44/300 20.1G 1.139 0.6218 0.8839 790 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.67 0.499 0.554 0.339\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 45/300 23G 1.142 0.6234 0.8834 1039 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.661 0.504 0.55 0.335\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 46/300 18.9G 1.142 0.6253 0.885 474 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.671 0.498 0.553 0.341\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 47/300 24.4G 1.13 0.6175 0.8819 761 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.679 0.494 0.551 0.339\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 48/300 19.3G 1.136 0.6174 0.8842 1335 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.678 0.508 0.56 0.344\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 49/300 22.5G 1.126 0.6114 0.8816 928 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.683 0.505 0.559 0.345\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 50/300 18.8G 1.13 0.6113 0.8809 636 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.675 0.509 0.56 0.346\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 51/300 19.1G 1.124 0.6089 0.8796 851 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.664 0.515 0.56 0.345\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 52/300 21.7G 1.124 0.6087 0.8811 822 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.685 0.511 0.568 0.347\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 53/300 21.5G 1.121 0.6047 0.8787 539 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.682 0.509 0.56 0.343\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 54/300 23.2G 1.118 0.6022 0.8775 794 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.682 0.518 0.568 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 55/300 21.1G 1.111 0.5961 0.8784 848 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.692 0.519 0.571 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 56/300 18.3G 1.111 0.593 0.8785 762 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.67 0.515 0.561 0.344\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 57/300 21.9G 1.105 0.5927 0.876 661 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.656 0.501 0.556 0.342\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 58/300 19.8G 1.109 0.5936 0.877 668 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.659 0.518 0.561 0.345\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 59/300 17.1G 1.112 0.5944 0.8769 934 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.668 0.53 0.568 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 60/300 22.3G 1.114 0.5946 0.8777 654 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.666 0.526 0.567 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 61/300 19.4G 1.106 0.5902 0.876 767 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.673 0.527 0.567 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 62/300 20.3G 1.109 0.5889 0.8754 842 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.694 0.517 0.57 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 63/300 21.5G 1.101 0.5854 0.8747 923 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.679 0.515 0.566 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 64/300 18.4G 1.1 0.5838 0.8746 659 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.698 0.518 0.571 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 65/300 21.1G 1.097 0.5852 0.8739 1194 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.671 0.527 0.571 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 66/300 19G 1.094 0.5793 0.8728 602 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.682 0.519 0.567 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 67/300 18.8G 1.093 0.5783 0.8722 798 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.682 0.522 0.571 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 68/300 20.9G 1.095 0.5794 0.8736 770 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.663 0.529 0.57 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 69/300 17G 1.088 0.575 0.8725 737 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.686 0.523 0.572 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 70/300 19.1G 1.08 0.569 0.8709 806 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.676 0.525 0.574 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 71/300 20.8G 1.09 0.5736 0.8729 866 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.677 0.529 0.573 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 72/300 20.5G 1.087 0.5741 0.871 639 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.696 0.521 0.575 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 73/300 19.1G 1.076 0.5661 0.8694 886 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.7 0.518 0.575 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 74/300 18.9G 1.083 0.5652 0.8698 773 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.682 0.524 0.573 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 75/300 19.4G 1.075 0.5646 0.8692 837 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.686 0.53 0.576 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 76/300 18.3G 1.085 0.5692 0.8706 912 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.704 0.512 0.572 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 77/300 18.7G 1.074 0.5624 0.8697 766 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.685 0.528 0.574 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 78/300 18.7G 1.072 0.5574 0.8686 816 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.703 0.524 0.574 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 79/300 19G 1.064 0.5525 0.8673 503 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.682 0.53 0.575 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 80/300 19.7G 1.073 0.5606 0.866 1023 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.678 0.536 0.576 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 81/300 19G 1.067 0.5565 0.8677 730 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.703 0.52 0.577 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 82/300 21.7G 1.058 0.551 0.8672 1342 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.691 0.523 0.575 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 83/300 21.1G 1.069 0.5587 0.8676 679 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.679 0.532 0.579 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 84/300 21G 1.062 0.5505 0.8675 1074 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.692 0.527 0.577 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 85/300 19.2G 1.062 0.5504 0.8666 579 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.707 0.517 0.573 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 86/300 20.9G 1.06 0.5507 0.865 746 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.693 0.527 0.574 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 87/300 19.2G 1.068 0.556 0.8667 1110 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.695 0.528 0.576 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 88/300 19.7G 1.055 0.5491 0.8649 686 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.689 0.532 0.575 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 89/300 19.3G 1.058 0.5491 0.8651 911 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.689 0.522 0.574 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 90/300 24.9G 1.06 0.5457 0.8637 892 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.69 0.527 0.573 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 91/300 19G 1.054 0.5454 0.8625 638 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.699 0.528 0.579 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 92/300 22.3G 1.056 0.5456 0.864 538 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.679 0.541 0.579 0.359\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 93/300 21.8G 1.057 0.5452 0.8633 828 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.688 0.531 0.575 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 94/300 18.3G 1.043 0.5369 0.8614 891 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.694 0.534 0.576 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 95/300 21.7G 1.037 0.5346 0.8609 885 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.696 0.53 0.579 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 96/300 19G 1.047 0.5392 0.8633 961 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.698 0.531 0.581 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 97/300 21G 1.045 0.5377 0.862 611 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.688 0.532 0.579 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 98/300 19.5G 1.042 0.5351 0.8637 1026 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.695 0.531 0.577 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 99/300 20.9G 1.04 0.5328 0.8602 550 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.692 0.532 0.577 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 100/300 24.8G 1.039 0.5343 0.861 669 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.69 0.526 0.577 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 101/300 21.1G 1.032 0.5306 0.8611 835 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.699 0.529 0.577 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 102/300 18.9G 1.037 0.5321 0.8609 943 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.699 0.525 0.578 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 103/300 16.9G 1.028 0.5275 0.8587 1033 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.699 0.523 0.576 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 104/300 19.4G 1.034 0.5272 0.8605 664 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.696 0.524 0.575 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 105/300 18.8G 1.034 0.5285 0.8597 795 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.686 0.531 0.574 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 106/300 19.5G 1.032 0.5272 0.8589 807 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.697 0.529 0.577 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 107/300 18.1G 1.03 0.5277 0.8602 519 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.688 0.531 0.577 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 108/300 19.2G 1.03 0.5272 0.8587 1017 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.695 0.524 0.575 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 109/300 20.2G 1.028 0.5258 0.8587 755 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.686 0.53 0.572 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 110/300 23.9G 1.019 0.5197 0.8564 594 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.681 0.53 0.574 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 111/300 21.2G 1.03 0.5242 0.8571 655 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.674 0.538 0.576 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 112/300 21.1G 1.017 0.5173 0.8562 667 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.676 0.537 0.576 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 113/300 22.1G 1.019 0.518 0.8554 702 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.689 0.528 0.577 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 114/300 20.8G 1.019 0.5173 0.8568 547 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.695 0.53 0.578 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 115/300 22.4G 1.015 0.5159 0.8547 700 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.682 0.535 0.577 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 116/300 21.6G 1.007 0.5125 0.8559 803 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.7 0.526 0.578 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 117/300 20.6G 1.009 0.5123 0.8544 878 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.702 0.522 0.577 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 118/300 18.1G 1.018 0.5164 0.8554 649 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.686 0.528 0.578 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 119/300 23G 1.009 0.512 0.8548 646 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.689 0.53 0.58 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 120/300 21.7G 1.007 0.5117 0.8556 1382 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.688 0.533 0.579 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 121/300 22.9G 1.008 0.51 0.8536 877 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.697 0.529 0.578 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 122/300 16.6G 1.009 0.5124 0.8543 720 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:100.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.7 0.528 0.579 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 123/300 23.7G 1.009 0.5111 0.8533 957 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.697 0.528 0.58 0.358\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 124/300 21.9G 1 0.5067 0.8533 641 640: 100% ━━━━━━━━━━━━ 191/191 2.6it/s 1:120.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.702 0.521 0.578 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 125/300 21G 1.004 0.5091 0.8546 1118 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:120.3sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.9it/s 1.3s0.2s\n", + " all 548 35895 0.694 0.525 0.577 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 126/300 19.8G 1.007 0.5086 0.8551 642 640: 100% ━━━━━━━━━━━━ 191/191 2.6it/s 1:130.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.3s0.2s\n", + " all 548 35895 0.689 0.53 0.578 0.357\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 127/300 20.9G 0.9983 0.5042 0.8513 732 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.69 0.529 0.578 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 128/300 18.4G 0.9943 0.5024 0.8525 541 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.701 0.523 0.577 0.356\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 129/300 19.5G 1.002 0.5059 0.8532 1128 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.0it/s 1.3s0.2s\n", + " all 548 35895 0.693 0.528 0.576 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 130/300 21.3G 0.9956 0.5035 0.8513 678 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.2it/s 1.2s0.2s\n", + " all 548 35895 0.691 0.529 0.578 0.355\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 131/300 22.2G 0.9982 0.5033 0.8507 883 640: 100% ━━━━━━━━━━━━ 191/191 2.6it/s 1:120.3sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 6.7it/s 1.3s0.2s\n", + " all 548 35895 0.694 0.527 0.577 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 132/300 18.4G 0.9902 0.4993 0.8521 736 640: 100% ━━━━━━━━━━━━ 191/191 2.7it/s 1:110.2sss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 7.1it/s 1.3s0.2s\n", + " all 548 35895 0.696 0.526 0.576 0.354\n", + "\u001b[34m\u001b[1mEarlyStopping: \u001b[0mTraining stopped early as no improvement observed in last 40 epochs. Best results observed at epoch 92, best model saved as best.pt.\n", + "To update EarlyStopping(patience=40) pass a new patience value, i.e. `patience=300` or use `patience=0` to disable EarlyStopping.\n", + "\n", + "132 epochs completed in 2.655 hours.\n", + "Optimizer stripped from /home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/last.pt, 52.0MB\n", + "Optimizer stripped from /home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.pt, 52.0MB\n", + "\n", + "Validating /home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.pt...\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 92 layers, 25,842,655 parameters, 0 gradients, 78.7 GFLOPs\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 9/9 2.6it/s 3.4s0.2s\n", + " all 548 35895 0.677 0.541 0.579 0.359\n", + " person 531 13969 0.658 0.476 0.532 0.233\n", + " car 517 16039 0.814 0.799 0.845 0.608\n", + " truck 266 750 0.581 0.384 0.419 0.274\n", + " bus 131 251 0.762 0.594 0.634 0.469\n", + " motor 485 4886 0.569 0.451 0.464 0.211\n", + "Speed: 0.1ms preprocess, 2.3ms inference, 0.0ms loss, 0.8ms postprocess per image\n", + "Results saved to \u001b[1m/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class\u001b[0m\n" + ] + } + ], + "source": [ + "# Load a pretrained YOLO11n model\n", + "model = YOLO('yolov8m.pt')\n", + "\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/vis5class_exp/vis5class.yaml\", #['person','car', 'truck', 'bus', 'motor']\n", + " epochs=300,\n", + " imgsz=640,\n", + " batch=-1,\n", + " device=\"cuda\",\n", + " optimizer = 'AdamW',\n", + " lr0 = 0.001,\n", + " patience = 40,\n", + " project = 'vis5class_v8m',\n", + " name = '5class',\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "681c71ed", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32087MiB)\n", + "Model summary (fused): 92 layers, 25,842,655 parameters, 0 gradients, 78.7 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 9, 8400) (49.6 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 0.7s, saved as '/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.onnx' (98.8 MB)\n", + "\n", + "Export complete (0.8s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.onnx imgsz=640 data=/home/cuuva/experiment/vis5class_exp/vis5class.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.onnx'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = YOLO(\"/home/cuuva/experiment/vis5class_exp/vis5class_v8m/5class/weights/best.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48b48641", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/vis5class_exp/vis5class_v8m/5class/args.yaml b/vis5class_exp/vis5class_v8m/5class/args.yaml new file mode 100644 index 0000000..c4c5e8c --- /dev/null +++ b/vis5class_exp/vis5class_v8m/5class/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8m.pt +data: /home/cuuva/experiment/vis5class_exp/vis5class.yaml +epochs: 300 +time: null +patience: 40 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: vis5class_v8m +name: 5class +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 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"import os\n", + "from collections import Counter\n", + "\n", + "# label_root = \"/home/cuuva/experiment/datasets/VisDrone/labels copy\"\n", + "label_root = \"/home/cuuva/experiment/datasets/VisDrone/labels\"\n", + "splits = [\"train\", \"val\",'test']\n", + "\n", + "class_counter = Counter()\n", + "\n", + "for split in splits:\n", + " split_path = os.path.join(label_root, split)\n", + " \n", + " # 라벨 txt 파일 탐색\n", + " label_files = [f for f in os.listdir(split_path) if f.endswith(\".txt\")]\n", + " \n", + " print(f\"\\n🔍 Checking split: {split} (files: {len(label_files)})\")\n", + "\n", + " for file in label_files:\n", + " file_path = os.path.join(split_path, file)\n", + " with open(file_path, \"r\") as f:\n", + " for line in f.readlines():\n", + " if line.strip(): # 빈 줄 제거\n", + " class_id = line.split()[0] # 첫번째 값 = 클래스\n", + " class_counter[class_id] += 1\n", + "\n", + "# 최종 결과 출력\n", + "print(\"\\n📌 클래스 통계 결과:\")\n", + "for cls, count in sorted(class_counter.items(), key=lambda x: int(x[0])):\n", + " print(f\" - Class {cls}: {count} 개\")\n", + "\n", + "print(f\"\\n총 클래스 종류: {len(class_counter)}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "35cf2381", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📂 Updating: train (files: 6471)\n", + "\n", + "📂 Updating: val (files: 548)\n", + "\n", + "📂 Updating: test (files: 1610)\n", + "\n", + "✅ 라벨 클래스 번호 재정렬 완료!\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "label_root = \"/home/cuuva/experiment/datasets/VisDrone/labels\"\n", + "splits = [\"train\", \"val\", \"test\"]\n", + "\n", + "# 클래스 재매핑 설정\n", + "mapping = {\n", + " \"0\": \"0\", # person stays 0\n", + " \"1\": \"1\", # car stays 1\n", + " \"2\": \"5\", # van -> 5\n", + " \"3\": \"2\", # truck -> 2\n", + " \"4\": \"3\", # bus -> 3\n", + " \"5\": \"4\" # motor -> 4\n", + "}\n", + "\n", + "for split in splits:\n", + " split_path = os.path.join(label_root, split)\n", + " label_files = [f for f in os.listdir(split_path) if f.endswith(\".txt\")]\n", + "\n", + " print(f\"\\n📂 Updating: {split} (files: {len(label_files)})\")\n", + "\n", + " for file in label_files:\n", + " file_path = os.path.join(split_path, file)\n", + "\n", + " new_lines = []\n", + " with open(file_path, \"r\") as f:\n", + " for line in f.readlines():\n", + " if line.strip():\n", + " parts = line.split()\n", + " cls = parts[0]\n", + " parts[0] = mapping[cls] # 클래스 번호 변경\n", + " new_lines.append(\" \".join(parts) + \"\\n\")\n", + "\n", + " # 덮어쓰기\n", + " with open(file_path, \"w\") as f:\n", + " f.writelines(new_lines)\n", + "\n", + "print(\"\\n✅ 라벨 클래스 번호 재정렬 완료!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3fdd6e44", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🔍 Checking split: train (files: 6471)\n", + "\n", + "🔍 Checking split: val (files: 548)\n", + "\n", + "🔍 Checking split: test (files: 1610)\n", + "\n", + "📌 클래스 통계 결과:\n", + " - Class 0: 147747 개\n", + " - Class 1: 187005 개\n", + " - Class 2: 16284 개\n", + " - Class 3: 9117 개\n", + " - Class 4: 40378 개\n", + " - Class 5: 32702 개\n", + "\n", + "총 클래스 종류: 6\n" + ] + } + ], + "source": [ + "import os\n", + "from collections import Counter\n", + "\n", + "# label_root = \"/home/cuuva/experiment/datasets/VisDrone/labels copy\"\n", + "label_root = \"/home/cuuva/experiment/datasets/VisDrone/labels\"\n", + "splits = [\"train\", \"val\",'test']\n", + "\n", + "class_counter = Counter()\n", + "\n", + "for split in splits:\n", + " split_path = os.path.join(label_root, split)\n", + " \n", + " # 라벨 txt 파일 탐색\n", + " label_files = [f for f in os.listdir(split_path) if f.endswith(\".txt\")]\n", + " \n", + " print(f\"\\n🔍 Checking split: {split} (files: {len(label_files)})\")\n", + "\n", + " for file in label_files:\n", + " file_path = os.path.join(split_path, file)\n", + " with open(file_path, \"r\") as f:\n", + " for line in f.readlines():\n", + " if line.strip(): # 빈 줄 제거\n", + " class_id = line.split()[0] # 첫번째 값 = 클래스\n", + " class_counter[class_id] += 1\n", + "\n", + "# 최종 결과 출력\n", + "print(\"\\n📌 클래스 통계 결과:\")\n", + "for cls, count in sorted(class_counter.items(), key=lambda x: int(x[0])):\n", + " print(f\" - Class {cls}: {count} 개\")\n", + "\n", + "print(f\"\\n총 클래스 종류: {len(class_counter)}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ca796e3d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processing train: 6471 files\n", + "Processing val: 548 files\n", + "Processing test: 1610 files\n", + "Done. All label files updated!\n" + ] + } + ], + "source": [ + "import os\n", + "from glob import glob\n", + "\n", + "# 라벨 매핑\n", + "mapping = {\n", + " 0: 0,\n", + " 1: 2,\n", + " 2: 5,\n", + " 3: 4,\n", + " 4: 3,\n", + " 5: 1\n", + "}\n", + "\n", + "# labels 폴더 경로\n", + "base_dir = \"/home/cuuva/experiment/datasets/VisDrone/labels\"\n", + "\n", + "# train, val, test 모두 처리\n", + "splits = [\"train\", \"val\", \"test\"]\n", + "\n", + "for split in splits:\n", + " label_dir = os.path.join(base_dir, split)\n", + " txt_files = glob(os.path.join(label_dir, \"*.txt\"))\n", + "\n", + " print(f\"Processing {split}: {len(txt_files)} files\")\n", + "\n", + " for txt_path in txt_files:\n", + " lines = []\n", + " with open(txt_path, \"r\") as f:\n", + " for line in f.readlines():\n", + " parts = line.strip().split()\n", + " if len(parts) < 5:\n", + " continue\n", + "\n", + " old_cls = int(parts[0])\n", + " new_cls = mapping[old_cls]\n", + "\n", + " # 클래스만 변경해서 다시 저장\n", + " parts[0] = str(new_cls)\n", + " lines.append(\" \".join(parts))\n", + "\n", + " with open(txt_path, \"w\") as f:\n", + " f.write(\"\\n\".join(lines))\n", + "\n", + "print(\"Done. All label files updated!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a461857c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🔍 Checking split: train (files: 6471)\n", + "\n", + "🔍 Checking split: val (files: 548)\n", + "\n", + "🔍 Checking split: test (files: 1610)\n", + "\n", + "📌 클래스 통계 결과:\n", + " - Class 0: 147747 개\n", + " - Class 1: 32702 개\n", + " - Class 2: 187005 개\n", + " - Class 3: 40378 개\n", + " - Class 4: 9117 개\n", + " - Class 5: 16284 개\n", + "\n", + "총 클래스 종류: 6\n" + ] + } + ], + "source": [ + "import os\n", + "from collections import Counter\n", + "\n", + "# label_root = \"/home/cuuva/experiment/datasets/VisDrone/labels copy\"\n", + "label_root = \"/home/cuuva/experiment/datasets/VisDrone/labels\"\n", + "splits = [\"train\", \"val\",'test']\n", + "\n", + "class_counter = Counter()\n", + "\n", + "for split in splits:\n", + " split_path = os.path.join(label_root, split)\n", + " \n", + " # 라벨 txt 파일 탐색\n", + " label_files = [f for f in os.listdir(split_path) if f.endswith(\".txt\")]\n", + " \n", + " print(f\"\\n🔍 Checking split: {split} (files: {len(label_files)})\")\n", + "\n", + " for file in label_files:\n", + " file_path = os.path.join(split_path, file)\n", + " with open(file_path, \"r\") as f:\n", + " for line in f.readlines():\n", + " if line.strip(): # 빈 줄 제거\n", + " class_id = line.split()[0] # 첫번째 값 = 클래스\n", + " class_counter[class_id] += 1\n", + "\n", + "# 최종 결과 출력\n", + "print(\"\\n📌 클래스 통계 결과:\")\n", + "for cls, count in sorted(class_counter.items(), key=lambda x: int(x[0])):\n", + " print(f\" - Class {cls}: {count} 개\")\n", + "\n", + "print(f\"\\n총 클래스 종류: {len(class_counter)}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8320460f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/vis6class_exp/vis6class.yaml b/vis6class_exp/vis6class.yaml new file mode 100644 index 0000000..b435d57 --- /dev/null +++ b/vis6class_exp/vis6class.yaml @@ -0,0 +1,9 @@ +# path: /home/cuuva/experiment/datasets/VisDrone # 데이터 경로 +train: /home/cuuva/experiment/datasets/VisDrone/images/train +val: /home/cuuva/experiment/datasets/VisDrone/images/val +test: /home/cuuva/experiment/datasets/VisDrone/images/test + +# nc: 7 +nc: 6 + +names: ['person','van', 'car', 'motor', 'bus', 'truck'] diff --git a/vis6class_exp/vis6class_exp.ipynb b/vis6class_exp/vis6class_exp.ipynb new file mode 100644 index 0000000..dc15cce --- /dev/null +++ b/vis6class_exp/vis6class_exp.ipynb @@ -0,0 +1,1093 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "6bb38c03", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New https://pypi.org/project/ultralytics/8.3.235 available 😃 Update with 'pip install -U ultralytics'\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/home/cuuva/experiment/vis6class_exp/vis6class.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=600, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.001, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8m.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=6class_final, nbs=64, nms=False, opset=None, optimize=False, optimizer=AdamW, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=vis6class_v8m, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n", + "Overriding model.yaml nc=80 with nc=6\n", + "\n", + " from n params module arguments \n", + " 0 -1 1 1392 ultralytics.nn.modules.conv.Conv [3, 48, 3, 2] \n", + " 1 -1 1 41664 ultralytics.nn.modules.conv.Conv [48, 96, 3, 2] \n", + " 2 -1 2 111360 ultralytics.nn.modules.block.C2f [96, 96, 2, True] \n", + " 3 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2] \n", + " 4 -1 4 813312 ultralytics.nn.modules.block.C2f [192, 192, 4, True] \n", + " 5 -1 1 664320 ultralytics.nn.modules.conv.Conv [192, 384, 3, 2] \n", + " 6 -1 4 3248640 ultralytics.nn.modules.block.C2f [384, 384, 4, True] \n", + " 7 -1 1 1991808 ultralytics.nn.modules.conv.Conv [384, 576, 3, 2] \n", + " 8 -1 2 3985920 ultralytics.nn.modules.block.C2f [576, 576, 2, True] \n", + " 9 -1 1 831168 ultralytics.nn.modules.block.SPPF [576, 576, 5] \n", + " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 12 -1 2 1993728 ultralytics.nn.modules.block.C2f [960, 384, 2] \n", + " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", + " 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 15 -1 2 517632 ultralytics.nn.modules.block.C2f [576, 192, 2] \n", + " 16 -1 1 332160 ultralytics.nn.modules.conv.Conv [192, 192, 3, 2] \n", + " 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 18 -1 2 1846272 ultralytics.nn.modules.block.C2f [576, 384, 2] \n", + " 19 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2] \n", + " 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", + " 21 -1 2 4207104 ultralytics.nn.modules.block.C2f [960, 576, 2] \n", + " 22 [15, 18, 21] 1 3779170 ultralytics.nn.modules.head.Detect [6, [192, 384, 576]] \n", + "Model summary: 169 layers, 25,859,794 parameters, 25,859,778 gradients, 79.1 GFLOPs\n", + "\n", + "Transferred 469/475 items from pretrained weights\n", + "Freezing layer 'model.22.dfl.conv.weight'\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", + "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 584.8±216.0 MB/s, size: 260.7 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/VisDrone/labels/train... 6471 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 6471/6471 5.8Kit/s 1.1s0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/0000137_02220_d_0000163.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/0000140_00118_d_0000002.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/9999945_00000_d_0000114.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/9999987_00000_d_0000049.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/VisDrone/labels/train.cache\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mComputing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization.\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mCUDA:0 (NVIDIA GeForce RTX 5090) 31.36G total, 0.25G reserved, 0.24G allocated, 30.87G free\n", + " Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cuuva/anaconda3/envs/1stagedetect/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 25859794 79.08 2.384 33.48 167.9 (1, 3, 640, 640) list\n", + " 25859794 158.2 3.815 10.1 34.34 (2, 3, 640, 640) list\n", + " 25859794 316.3 5.071 13.67 46.59 (4, 3, 640, 640) list\n", + " 25859794 632.7 8.582 27.02 70.06 (8, 3, 640, 640) list\n", + " 25859794 1265 12.438 27.33 117.6 (16, 3, 640, 640) list\n", + " 25859794 2531 24.390 55.53 242.4 (32, 3, 640, 640) list\n", + " 25859794 5061 44.548 118 448.1 (64, 3, 640, 640) list\n", + "\u001b[34m\u001b[1mAutoBatch: \u001b[0mUsing batch-size 24 for CUDA:0 19.20G/31.36G (61%) ✅\n", + "\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 786.9±193.0 MB/s, size: 235.0 KB)\n", + "\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/cuuva/experiment/datasets/VisDrone/labels/train.cache... 6471 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 6471/6471 18.8Mit/s 0.0s\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/0000137_02220_d_0000163.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/0000140_00118_d_0000002.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/9999945_00000_d_0000114.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1mtrain: \u001b[0m/home/cuuva/experiment/datasets/VisDrone/images/train/9999987_00000_d_0000049.jpg: 1 duplicate labels removed\n", + "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n", + "\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 485.4±68.5 MB/s, size: 153.1 KB)\n", + "\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /home/cuuva/experiment/datasets/VisDrone/labels/val... 548 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 548/548 3.6Kit/s 0.2s0.2s\n", + "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/cuuva/experiment/datasets/VisDrone/labels/val.cache\n", + "Plotting labels to /home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/labels.jpg... \n", + "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.001, momentum=0.937) with parameter groups 77 weight(decay=0.0), 84 weight(decay=0.0005625000000000001), 83 bias(decay=0.0)\n", + "Image sizes 640 train, 640 val\n", + "Using 8 dataloader workers\n", + "Logging results to \u001b[1m/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final\u001b[0m\n", + "Starting training for 600 epochs...\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 1/600 12.9G 1.445 1.249 0.9665 1365 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.1it/s 1.3s0.1s\n", + " all 548 35895 0.463 0.31 0.323 0.196\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 2/600 14.9G 1.385 1.06 0.95 1219 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.453 0.355 0.354 0.21\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 3/600 14.9G 1.419 1.068 0.956 767 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.0it/s 1.3s0.1s\n", + " all 548 35895 0.515 0.367 0.384 0.227\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 4/600 17.5G 1.362 1 0.9433 1594 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 8.8it/s 1.4s0.1s\n", + " all 548 35895 0.525 0.389 0.408 0.241\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 5/600 15.4G 1.339 0.9599 0.9365 1186 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.53 0.407 0.43 0.258\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 6/600 15.5G 1.315 0.9326 0.9308 751 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.569 0.416 0.446 0.271\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 7/600 15.5G 1.31 0.9191 0.9272 993 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.3it/s 1.3s0.1s\n", + " all 548 35895 0.594 0.415 0.451 0.27\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 8/600 19.9G 1.301 0.9078 0.9265 952 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.566 0.44 0.461 0.278\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 9/600 16.4G 1.292 0.8996 0.9235 1348 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.3it/s 1.3s0.1s\n", + " all 548 35895 0.602 0.431 0.473 0.29\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 10/600 13.1G 1.288 0.8853 0.9202 1021 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.604 0.427 0.469 0.287\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 11/600 14.6G 1.267 0.8647 0.9175 1350 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.3it/s 1.3s0.1s\n", + " all 548 35895 0.626 0.436 0.486 0.296\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 12/600 14.7G 1.266 0.859 0.9155 1035 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.623 0.433 0.479 0.294\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 13/600 18G 1.261 0.8577 0.9165 1670 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.611 0.457 0.495 0.304\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 14/600 13.8G 1.252 0.843 0.9136 1057 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.594 0.44 0.474 0.285\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 15/600 15.8G 1.244 0.8313 0.9103 775 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.596 0.455 0.488 0.299\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 16/600 16.9G 1.237 0.8336 0.911 1047 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.596 0.459 0.49 0.3\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 17/600 17G 1.237 0.8241 0.9092 1032 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.612 0.455 0.498 0.31\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 18/600 14.2G 1.233 0.8178 0.9077 870 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.608 0.473 0.506 0.314\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 19/600 17.4G 1.221 0.8069 0.9055 1393 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.632 0.468 0.51 0.316\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 20/600 15.2G 1.219 0.7992 0.9058 1476 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.619 0.468 0.507 0.315\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 21/600 17.3G 1.229 0.8055 0.9063 758 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.618 0.481 0.516 0.321\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 22/600 16G 1.212 0.7917 0.9014 1240 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.643 0.467 0.513 0.322\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 23/600 13.1G 1.208 0.7868 0.9001 1464 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.612 0.479 0.51 0.321\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 24/600 19.1G 1.208 0.781 0.8999 1004 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.633 0.479 0.519 0.322\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 25/600 13.4G 1.198 0.7793 0.8989 1063 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.613 0.483 0.517 0.321\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 26/600 16G 1.201 0.776 0.8997 1204 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.622 0.47 0.509 0.32\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 27/600 12.7G 1.194 0.7654 0.8973 1102 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.636 0.479 0.525 0.328\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 28/600 12.8G 1.188 0.7647 0.8978 1248 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.637 0.477 0.525 0.325\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 29/600 12.8G 1.19 0.765 0.8954 1305 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.629 0.485 0.528 0.332\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 30/600 12.9G 1.182 0.7565 0.8955 1285 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.631 0.473 0.514 0.323\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 31/600 13G 1.187 0.7553 0.8932 1368 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.651 0.476 0.527 0.324\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 32/600 14.9G 1.181 0.7457 0.8929 1215 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.4it/s 1.3s0.1s\n", + " all 548 35895 0.629 0.49 0.526 0.332\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 33/600 17.2G 1.17 0.7385 0.8911 1315 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.644 0.475 0.525 0.327\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 34/600 15.1G 1.17 0.7372 0.8915 1359 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.636 0.489 0.532 0.336\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 35/600 15.1G 1.175 0.7397 0.8909 1154 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.655 0.486 0.536 0.337\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 36/600 17.2G 1.17 0.733 0.8924 1306 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.651 0.481 0.532 0.334\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 37/600 16.5G 1.17 0.7319 0.8904 1424 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.646 0.498 0.539 0.337\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 38/600 13.5G 1.167 0.7294 0.8913 1004 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.647 0.488 0.534 0.335\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 39/600 19.6G 1.165 0.7281 0.89 893 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.634 0.495 0.537 0.337\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 40/600 14.3G 1.162 0.7236 0.8898 1366 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.653 0.49 0.538 0.339\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 41/600 16.1G 1.153 0.7136 0.8864 1025 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.65 0.493 0.541 0.339\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 42/600 16.6G 1.16 0.7192 0.8877 1359 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.484 0.543 0.342\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 43/600 14.2G 1.152 0.7105 0.8874 1346 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.641 0.484 0.532 0.336\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 44/600 14.3G 1.15 0.7067 0.8866 954 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.674 0.483 0.537 0.34\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 45/600 14.4G 1.147 0.7072 0.8861 1013 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.5it/s 1.3s0.1s\n", + " all 548 35895 0.667 0.493 0.547 0.343\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 46/600 14.4G 1.151 0.7026 0.8862 888 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.658 0.495 0.544 0.342\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 47/600 14.5G 1.145 0.6974 0.885 965 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.653 0.494 0.539 0.34\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 48/600 14.6G 1.147 0.6988 0.8862 1478 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.658 0.492 0.541 0.343\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 49/600 14.6G 1.138 0.696 0.8841 1230 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.683 0.483 0.544 0.342\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 50/600 14.7G 1.133 0.6868 0.8832 690 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.672 0.498 0.547 0.346\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 51/600 14.8G 1.135 0.6875 0.8815 1220 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.642 0.503 0.542 0.343\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 52/600 14.8G 1.131 0.6848 0.8811 700 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.649 0.504 0.543 0.342\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 53/600 14.9G 1.133 0.6814 0.8817 1136 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.662 0.497 0.545 0.344\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 54/600 17.2G 1.129 0.6778 0.8806 1167 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.669 0.502 0.549 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 55/600 14G 1.127 0.6781 0.8817 827 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.3s0.1s\n", + " all 548 35895 0.662 0.503 0.544 0.345\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 56/600 15.9G 1.127 0.6735 0.8817 1256 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.491 0.541 0.341\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 57/600 15.6G 1.124 0.668 0.8794 767 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.678 0.49 0.547 0.346\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 58/600 17.3G 1.116 0.6639 0.8777 1586 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.667 0.5 0.547 0.346\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 59/600 19.9G 1.125 0.6706 0.8819 784 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.677 0.498 0.548 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 60/600 16.8G 1.115 0.6632 0.8788 1290 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.657 0.507 0.55 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 61/600 17.8G 1.114 0.6636 0.8793 1079 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.668 0.501 0.549 0.346\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 62/600 14.4G 1.115 0.6564 0.8767 976 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.658 0.504 0.545 0.346\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 63/600 14.5G 1.121 0.6628 0.8784 1017 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.657 0.497 0.542 0.344\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 64/600 14.6G 1.112 0.6562 0.8759 837 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.499 0.546 0.346\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 65/600 14.6G 1.112 0.6578 0.8773 980 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.669 0.502 0.549 0.347\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 66/600 17.1G 1.115 0.6524 0.877 1090 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.668 0.503 0.555 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 67/600 13.5G 1.11 0.6519 0.8775 1140 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.667 0.5 0.55 0.347\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 68/600 15.8G 1.106 0.6468 0.8757 1085 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.668 0.507 0.552 0.347\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 69/600 17.4G 1.099 0.6404 0.8755 1162 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.509 0.557 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 70/600 13.2G 1.104 0.6455 0.8757 1308 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.668 0.507 0.554 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 71/600 15G 1.097 0.6395 0.8738 1268 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.68 0.507 0.557 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 72/600 17.1G 1.104 0.645 0.8737 779 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.668 0.509 0.557 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 73/600 15.4G 1.092 0.6343 0.8717 1135 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.6it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.506 0.553 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 74/600 15.5G 1.09 0.6299 0.8713 1067 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.672 0.502 0.553 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 75/600 15.6G 1.09 0.6297 0.8723 955 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.659 0.513 0.555 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 76/600 17.4G 1.099 0.6337 0.8742 1592 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.655 0.511 0.552 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 77/600 14.3G 1.088 0.6283 0.8702 1049 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.504 0.553 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 78/600 14.4G 1.089 0.6233 0.8707 1067 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.681 0.504 0.554 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 79/600 16.5G 1.089 0.6245 0.8701 950 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.683 0.503 0.554 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 80/600 16.8G 1.083 0.6177 0.8696 1343 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.504 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 81/600 14.2G 1.08 0.6167 0.8701 1111 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.514 0.556 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 82/600 17.8G 1.074 0.6123 0.869 1091 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.512 0.554 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 83/600 13.7G 1.091 0.625 0.8707 796 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.671 0.514 0.554 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 84/600 17.7G 1.083 0.6186 0.8692 1187 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.515 0.554 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 85/600 12.4G 1.07 0.6098 0.8688 1280 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.507 0.553 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 86/600 14.5G 1.077 0.6106 0.8685 1639 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.659 0.518 0.553 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 87/600 18.6G 1.075 0.6126 0.8684 1285 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.514 0.553 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 88/600 13.9G 1.069 0.6067 0.8675 783 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.674 0.504 0.554 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 89/600 13.9G 1.074 0.6084 0.8685 831 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.672 0.502 0.55 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 90/600 15.8G 1.07 0.6062 0.8688 1099 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.657 0.511 0.55 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 91/600 16.1G 1.076 0.6087 0.8681 1270 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.676 0.507 0.551 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 92/600 17.8G 1.072 0.6045 0.8665 926 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.671 0.507 0.552 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 93/600 17.9G 1.069 0.6032 0.8669 833 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.661 0.51 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 94/600 18.5G 1.069 0.5982 0.8659 1440 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.683 0.499 0.551 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 95/600 16.4G 1.059 0.5972 0.8664 1395 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.685 0.501 0.553 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 96/600 14.2G 1.059 0.5929 0.8642 1213 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.667 0.51 0.554 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 97/600 16.6G 1.063 0.5937 0.8645 1007 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.667 0.507 0.553 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 98/600 14.3G 1.061 0.593 0.8651 1112 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.509 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 99/600 14.4G 1.061 0.5923 0.8646 1187 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.666 0.512 0.554 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 100/600 14.5G 1.057 0.592 0.8654 1449 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.511 0.554 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 101/600 14.5G 1.058 0.5921 0.865 1107 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.677 0.506 0.554 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 102/600 14.6G 1.059 0.5903 0.8644 1019 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.681 0.508 0.555 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 103/600 18.1G 1.049 0.5838 0.8622 740 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.512 0.557 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 104/600 16.7G 1.055 0.5867 0.8631 1042 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.687 0.51 0.557 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 105/600 13.9G 1.056 0.5868 0.863 1037 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.689 0.503 0.553 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 106/600 16.6G 1.05 0.5839 0.8616 1024 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.513 0.554 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 107/600 15.3G 1.043 0.5786 0.8636 940 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.679 0.512 0.554 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 108/600 15.4G 1.047 0.5795 0.8625 1278 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.516 0.556 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 109/600 17.5G 1.048 0.5805 0.8625 975 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.65 0.523 0.554 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 110/600 15.2G 1.044 0.5779 0.8622 1394 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.667 0.516 0.554 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 111/600 16.8G 1.041 0.572 0.8608 1364 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.681 0.513 0.556 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 112/600 14.9G 1.042 0.5767 0.8611 852 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.52 0.557 0.354\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 113/600 14.9G 1.039 0.573 0.86 931 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.664 0.518 0.557 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 114/600 17.1G 1.031 0.5682 0.8588 1510 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.7it/s 1.2s0.1s\n", + " all 548 35895 0.671 0.518 0.557 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 115/600 15.9G 1.036 0.5657 0.8579 1090 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.679 0.511 0.556 0.353\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 116/600 15.4G 1.033 0.5674 0.8611 1161 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.671 0.514 0.555 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 117/600 15.4G 1.033 0.5675 0.8601 1196 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.678 0.514 0.555 0.352\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 118/600 17.7G 1.034 0.5692 0.8586 914 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.52 0.554 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 119/600 15G 1.034 0.5689 0.8596 1196 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.517 0.554 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 120/600 15.1G 1.023 0.5595 0.8596 885 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.672 0.512 0.553 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 121/600 17.5G 1.035 0.5655 0.859 946 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.516 0.553 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 122/600 15.6G 1.024 0.5604 0.8584 1107 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.664 0.515 0.552 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 123/600 20.1G 1.028 0.5634 0.8586 1141 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.66 0.516 0.553 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 124/600 16G 1.03 0.5634 0.8568 895 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.657 0.519 0.554 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 125/600 17.3G 1.027 0.5636 0.8583 1378 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.659 0.518 0.554 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 126/600 13.5G 1.03 0.5607 0.8585 845 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.663 0.517 0.553 0.351\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 127/600 15.6G 1.024 0.5568 0.8547 959 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.661 0.519 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 128/600 15.7G 1.017 0.5538 0.8561 1250 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.516 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 129/600 19.1G 1.023 0.556 0.8561 1186 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.671 0.516 0.552 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 130/600 15.3G 1.026 0.5578 0.8568 1097 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.666 0.517 0.552 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 131/600 17.5G 1.016 0.555 0.8562 1127 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.666 0.514 0.552 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 132/600 13.6G 1.015 0.5511 0.8563 1301 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.669 0.514 0.552 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 133/600 13.6G 1.012 0.5497 0.8545 1097 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.671 0.514 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 134/600 15.8G 1.017 0.5527 0.8558 1109 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:03<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.682 0.506 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 135/600 14.8G 1.014 0.5505 0.8539 1206 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.678 0.509 0.552 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 136/600 17.1G 1.013 0.5495 0.8544 632 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.682 0.505 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 137/600 17.2G 1.013 0.5474 0.8546 805 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.51 0.552 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 138/600 13.9G 1.013 0.5479 0.8552 950 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.678 0.508 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 139/600 14G 1.007 0.5465 0.8546 981 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.683 0.507 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 140/600 14.1G 1.006 0.5472 0.8535 990 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.686 0.506 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 141/600 14.1G 1.012 0.545 0.8556 868 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.688 0.505 0.552 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 142/600 16G 1.01 0.5461 0.855 1128 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.683 0.508 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 143/600 17.1G 1.005 0.5441 0.8527 1591 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.672 0.512 0.551 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 144/600 17.2G 1.003 0.5409 0.8531 1097 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.664 0.516 0.552 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 145/600 18.5G 1.004 0.5435 0.8533 1450 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.515 0.552 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 146/600 16G 1.006 0.5427 0.8532 1057 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.662 0.519 0.552 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 147/600 13.6G 0.9988 0.5389 0.8536 1095 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.659 0.52 0.552 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 148/600 13.6G 0.9958 0.5383 0.8524 894 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.661 0.517 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 149/600 16.9G 1.007 0.5423 0.8521 1010 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.662 0.514 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 150/600 15.6G 1.003 0.5375 0.8518 1044 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.514 0.551 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 151/600 15.7G 0.9982 0.5382 0.8503 1314 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.515 0.551 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 152/600 13.8G 0.9952 0.5357 0.8523 853 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.665 0.516 0.552 0.35\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 153/600 15.3G 0.9961 0.5356 0.8525 1005 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.667 0.514 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 154/600 20.3G 0.9862 0.5288 0.8487 1612 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.672 0.513 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 155/600 11.7G 0.9913 0.5326 0.8506 1078 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.67 0.513 0.55 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 156/600 19G 0.9916 0.5314 0.851 916 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.672 0.514 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 157/600 16.2G 0.9902 0.5309 0.8512 893 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.511 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 158/600 15.7G 0.9898 0.5326 0.8512 1225 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.676 0.51 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 159/600 13.3G 0.9887 0.5331 0.85 1513 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.509 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 160/600 13.4G 0.992 0.5297 0.8517 1049 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.676 0.508 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 161/600 15.6G 0.9868 0.5293 0.8501 1444 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.676 0.507 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 162/600 15.6G 0.9866 0.5283 0.8481 1337 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.509 0.55 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 163/600 15.7G 0.9826 0.5255 0.8492 1309 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.676 0.508 0.551 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 164/600 17.7G 0.9862 0.5253 0.8497 1081 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.51 0.55 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 165/600 15.8G 0.9842 0.5259 0.8499 1347 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.672 0.513 0.549 0.347\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 166/600 15.7G 0.9807 0.5235 0.8492 1067 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.674 0.512 0.549 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 167/600 17.1G 0.978 0.5218 0.8485 1564 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.676 0.511 0.55 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 168/600 14.3G 0.989 0.5297 0.8484 1215 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.512 0.55 0.348\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 169/600 15.9G 0.9752 0.5185 0.8466 910 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.512 0.55 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 170/600 12.7G 0.9809 0.5221 0.8475 1056 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.8it/s 1.2s0.1s\n", + " all 548 35895 0.674 0.511 0.55 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 171/600 17.1G 0.9801 0.5243 0.8488 1475 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.511 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 172/600 17.2G 0.9747 0.5203 0.8484 1145 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.673 0.511 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 173/600 13.2G 0.9762 0.5198 0.848 1238 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.512 0.551 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 174/600 16.5G 0.9736 0.5202 0.8495 1170 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.513 0.552 0.349\n", + "\n", + " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n", + "\u001b[K 175/600 14.6G 0.9765 0.5195 0.8468 1563 640: 100% ━━━━━━━━━━━━ 270/270 4.3it/s 1:02<0.2ss\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 9.9it/s 1.2s0.1s\n", + " all 548 35895 0.675 0.513 0.551 0.349\n", + "\u001b[34m\u001b[1mEarlyStopping: \u001b[0mTraining stopped early as no improvement observed in last 100 epochs. Best results observed at epoch 75, best model saved as best.pt.\n", + "To update EarlyStopping(patience=100) pass a new patience value, i.e. `patience=300` or use `patience=0` to disable EarlyStopping.\n", + "\n", + "175 epochs completed in 3.111 hours.\n", + "Optimizer stripped from /home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/last.pt, 52.0MB\n", + "Optimizer stripped from /home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best.pt, 52.0MB\n", + "\n", + "Validating /home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best.pt...\n", + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n", + "Model summary (fused): 92 layers, 25,843,234 parameters, 0 gradients, 78.7 GFLOPs\n", + "\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 12/12 3.4it/s 3.5s0.1s\n", + " all 548 35895 0.659 0.513 0.555 0.354\n", + " person 531 13969 0.652 0.464 0.524 0.23\n", + " van 421 1975 0.567 0.47 0.482 0.343\n", + " car 515 14064 0.783 0.778 0.814 0.587\n", + " motor 485 4886 0.606 0.408 0.463 0.209\n", + " bus 131 251 0.776 0.554 0.632 0.476\n", + " truck 266 750 0.569 0.403 0.413 0.278\n", + "Speed: 0.0ms preprocess, 0.9ms inference, 0.0ms loss, 0.4ms postprocess per image\n", + "Results saved to \u001b[1m/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final\u001b[0m\n" + ] + } + ], + "source": [ + "from ultralytics import YOLO\n", + "\n", + "# Load a pretrained YOLO11n model\n", + "model = YOLO('yolov8m.pt')\n", + "\n", + "train_results = model.train(\n", + " data=\"/home/cuuva/experiment/vis6class_exp/vis6class.yaml\", #['person','car', 'truck', 'bus', 'motor','van]\n", + " epochs=600,\n", + " imgsz=640,\n", + " batch=-1,\n", + " device=\"cuda\",\n", + " optimizer = 'AdamW',\n", + " lr0 = 0.001,\n", + " patience = 100,\n", + " project = 'vis6class_v8m',\n", + " name = '6class_final',\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "681c71ed", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ultralytics 8.3.225 🚀 Python-3.10.18 torch-2.9.1+cu128 CUDA:0 (NVIDIA GeForce RTX 5090, 32109MiB)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model summary (fused): 92 layers, 25,843,234 parameters, 0 gradients, 78.7 GFLOPs\n", + "\n", + "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best_vis_6class_final.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 10, 8400) (49.6 MB)\n", + "\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.19.1 opset 20...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.71...\n", + "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 0.6s, saved as '/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best_vis_6class_final.onnx' (98.8 MB)\n", + "\n", + "Export complete (0.7s)\n", + "Results saved to \u001b[1m/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights\u001b[0m\n", + "Predict: yolo predict task=detect model=/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best_vis_6class_final.onnx imgsz=640 \n", + "Validate: yolo val task=detect model=/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best_vis_6class_final.onnx imgsz=640 data=/home/cuuva/experiment/vis6class_exp/vis6class.yaml \n", + "Visualize: https://netron.app\n" + ] + }, + { + "data": { + "text/plain": [ + "'/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best_vis_6class_final.onnx'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = YOLO(\"/home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class_final/weights/best_vis_6class_final.pt\")\n", + "model.export(format=\"onnx\", imgsz=640, device=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48b48641", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1stagedetect", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/vis6class_exp/vis6class_v8m/6class/args.yaml b/vis6class_exp/vis6class_v8m/6class/args.yaml new file mode 100644 index 0000000..42b8ac7 --- /dev/null +++ b/vis6class_exp/vis6class_v8m/6class/args.yaml @@ -0,0 +1,106 @@ +task: detect +mode: train +model: yolov8m.pt +data: /home/cuuva/experiment/vis6class_exp/vis6class.yaml +epochs: 300 +time: null +patience: 40 +batch: -1 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: '0' +workers: 8 +project: vis6class_v8m +name: 6class +exist_ok: false +pretrained: true +optimizer: AdamW +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +compile: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: true +opset: null +workspace: null +nms: false +lr0: 0.001 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +bgr: 0.0 +mosaic: 1.0 +mixup: 0.0 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: /home/cuuva/experiment/vis6class_exp/vis6class_v8m/6class diff --git a/vis6class_exp/vis6class_v8m/6class/results.csv b/vis6class_exp/vis6class_v8m/6class/results.csv new file mode 100644 index 0000000..29e29b8 --- /dev/null +++ b/vis6class_exp/vis6class_v8m/6class/results.csv @@ -0,0 +1,101 @@ +epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2 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