diff --git a/custom_LP_detect/test.ipynb b/custom_LP_detect/test.ipynb index 68b5061..b0f7e72 100644 --- a/custom_LP_detect/test.ipynb +++ b/custom_LP_detect/test.ipynb @@ -1,8050 +1,5 @@ { "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", - 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"✅ C-220806_15_CR14_02_N2937 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N1794 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_15_CR14_02_N4247 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N2425 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N3314 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N3189 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_17_CR14_02_N1586 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_06_CR14_02_N1283 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N6848 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N2877 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_18_CR14_02_N1978 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_10_CR14_02_N5144 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_18_CR14_02_N0834 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_18_CR14_02_N3089 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N7499 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_09_CR14_02_N5291 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_17_CR14_02_N0090 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_15_CR14_02_N1441 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_06_CR14_02_N3234 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_11_CR14_02_N2934 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_17_CR14_02_N1736 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_17_CR14_02_N0840 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_06_CR14_02_N2633 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N7655 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N0713 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N1887 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_11_CR14_02_N3548 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_15_CR14_02_N1678 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N2108 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N2191 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N1281 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_16_CR14_02_N3328 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_15_CR14_02_N3040 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N0801 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_06_CR14_02_N1884 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N2864 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N4353 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N7444 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_15_CR14_02_N1153 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N1177 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N1336 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N1860 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_16_CR14_02_N2727 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N0988 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_07_CR14_02_N0490 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_10_CR14_02_N4391 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N1488 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N3068 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N2305 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_18_CR14_02_N1886 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N2011 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_18_CR14_02_N2637 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N3656 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N1954 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N0556 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N1117 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N2105 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_15_CR14_02_N1435 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N4539 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_07_CR14_02_N1886 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_11_CR14_02_N2184 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N1851 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N2729 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N0581 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N1951 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_11_CR14_02_N3533 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N1142 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N3095 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N1179 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N4693 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N3630 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N2345 → 2개의 번호판 크롭 완료\n", - "✅ 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", - "✅ C-220806_08_CR14_02_N3472 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N3288 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_17_CR14_02_N1148 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_07_CR14_02_N0493 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N3092 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_07_CR14_02_N1582 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_10_CR14_02_N5440 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_11_CR14_02_N3547 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_07_CR14_02_N0085 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_12_CR14_02_N2934 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_14_CR14_02_N1797 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_15_CR14_02_N3391 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N6887 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N6669 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N2116 → 4개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N6977 → 1개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N0576 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_08_CR14_02_N0574 → 2개의 번호판 크롭 완료\n", - "✅ C-220806_18_CR14_02_N2491 → 3개의 번호판 크롭 완료\n", - "✅ C-220806_13_CR14_02_N4391 → 2개의 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, diff --git a/swoon_detect/test.ipynb b/swoon_detect/test.ipynb deleted file mode 100644 index 12c6b66..0000000 --- a/swoon_detect/test.ipynb +++ /dev/null @@ -1,7689 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "id": "8dbc8484", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - 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"\n", - "0: 384x640 1 swoon, 2.8ms\n", - "Speed: 1.3ms preprocess, 2.8ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 (no detections), 2.5ms\n", - "Speed: 1.4ms preprocess, 2.5ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 (no detections), 2.1ms\n", - "Speed: 0.9ms 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, 0.5ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 (no detections), 2.7ms\n", - "Speed: 1.3ms preprocess, 2.7ms 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", - "\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: 1.1ms 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", - "\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, 2.1ms\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: 0.9ms 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: 1.1ms 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: 1.0ms preprocess, 2.1ms inference, 0.6ms 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 (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", - "\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", - "\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 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 (no detections), 2.4ms\n", - "Speed: 1.2ms 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: 1.1ms 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: 1.1ms 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", - "\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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"\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, 0.4ms 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 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: 1.0ms 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", - 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"\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: 1.1ms 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: 1.1ms 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: 1.1ms 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: 1.1ms 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: 1.1ms preprocess, 2.1ms inference, 0.5ms 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, 0.5ms 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, 2.2ms\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, 0.4ms 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 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, 0.6ms 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, 2.1ms\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, 0.6ms 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 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: 1.0ms 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: 1.1ms 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, 2.1ms\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, 0.4ms 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 (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", - "\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: 1.1ms 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, 2.1ms\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", - "\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, 2.1ms\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, 2.1ms\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, 2.1ms\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, 2.1ms\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, 2.1ms\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: 1.2ms 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: 1.1ms 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: 1.4ms 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: 1.2ms 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: 1.2ms 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: 1.2ms 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: 1.2ms 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, 0.6ms 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, 0.7ms 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: 1.1ms 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, 2.1ms\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 2 swoons, 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 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 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, 0.4ms 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, 0.4ms 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, 0.7ms 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, 0.7ms 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, 0.4ms 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 2 swoons, 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 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, 0.7ms 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, 0.8ms 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, 2.6ms\n", - "Speed: 1.0ms preprocess, 2.6ms 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, 0.4ms 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 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: 1.0ms 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: 1.0ms 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, 0.8ms 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: 1.2ms 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, 0.6ms 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: 1.1ms 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: 1.0ms 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: 1.3ms 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: 1.2ms preprocess, 2.2ms inference, 1.0ms 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: 1.4ms 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: 1.0ms 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, 0.5ms 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, 0.4ms 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, 0.4ms 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, 2.1ms\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: 1.1ms 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: 1.1ms 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: 1.1ms 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 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 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 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, 2.2ms\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, 2.2ms\n", - "Speed: 1.2ms 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: 1.1ms 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: 1.5ms 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, 0.4ms 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", - "\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 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 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 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, 2.1ms\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 (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", - "\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 (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 (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, 0.6ms 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 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 (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, 2.1ms\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 (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, 2.1ms\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: 1.1ms 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: 1.3ms 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: 1.0ms 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: 1.2ms 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: 1.6ms 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, 0.4ms 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: 1.1ms 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, 2.7ms\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: 1.2ms 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, 2.1ms\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, 2.3ms\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: 1.3ms 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: 1.2ms 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: 1.2ms 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, 2.2ms\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: 1.0ms 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 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, 2.2ms\n", - "Speed: 1.4ms 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: 1.2ms 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, 0.6ms 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: 1.0ms 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: 1.0ms 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: 1.1ms 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, 2.1ms\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, 2.2ms\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, 1.1ms 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: 1.1ms 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, 2.6ms\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: 1.1ms 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, 2.1ms\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, 2.3ms\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, 2.1ms\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: 1.1ms 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, 2.7ms\n", - "Speed: 1.4ms preprocess, 2.7ms 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, 2.1ms\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, 2.1ms\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, 0.9ms 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: 1.2ms 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, 0.7ms 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, 2.2ms\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: 1.1ms 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, 2.2ms\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: 1.1ms 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, 0.7ms 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: 1.1ms 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, 0.9ms 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: 1.1ms 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: 1.0ms 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, 0.7ms 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, 0.6ms 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: 1.1ms 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: 1.2ms 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, 2.2ms\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: 1.1ms 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: 1.2ms 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, 0.9ms 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, 0.7ms 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, 2.1ms\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: 1.2ms 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: 1.1ms 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, 0.7ms 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, 2.5ms\n", - "Speed: 1.1ms preprocess, 2.5ms inference, 2.0ms 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: 1.0ms 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, 2.2ms\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, 0.7ms 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 2 swoons, 2.7ms\n", - "Speed: 1.4ms preprocess, 2.7ms 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, 0.7ms 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 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 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: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 3 swoons, 2.2ms\n", - "Speed: 1.1ms preprocess, 2.2ms inference, 0.9ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.4ms\n", - "Speed: 1.4ms preprocess, 2.4ms 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, 2.6ms\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: 1.1ms 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, 2.2ms\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, 2.7ms\n", - "Speed: 1.4ms preprocess, 2.7ms 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: 1.1ms 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, 0.7ms 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, 2.1ms\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: 1.1ms 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: 1.3ms 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, 2.2ms\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, 2.1ms\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, 0.7ms 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, 2.1ms\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, 2.2ms\n", - "Speed: 1.2ms 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: 1.1ms preprocess, 2.1ms inference, 0.7ms 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: 1.4ms 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: 1.3ms 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, 0.8ms 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, 2.1ms\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 preprocess, 2.1ms inference, 0.9ms 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: 1.1ms preprocess, 2.1ms 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, 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 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 swoons, 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, 2.1ms\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, 0.6ms 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, 0.7ms 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 2 swoons, 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 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 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, 0.6ms 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, 2.2ms\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: 1.0ms 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, 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: 1.2ms 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: 1.2ms preprocess, 2.1ms 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, 0.7ms 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, 0.6ms 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), 2.2ms\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, 0.6ms 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, 0.7ms 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: 1.2ms 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, 0.6ms 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: 1.2ms 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: 1.0ms 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 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 2 swoons, 2.2ms\n", - "Speed: 1.4ms 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: 1.1ms 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: 1.0ms 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: 1.0ms 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, 2.2ms\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, 0.7ms 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, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.4ms\n", - "Speed: 1.1ms preprocess, 2.4ms inference, 0.6ms 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, 0.6ms 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, 3, 384, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.4ms\n", - "Speed: 1.0ms preprocess, 2.4ms 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, 2.6ms\n", - "Speed: 1.0ms preprocess, 2.6ms inference, 0.7ms 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, 2.1ms\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, 2.1ms\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, 0.6ms 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, 0.7ms 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, 0.9ms 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: 1.1ms 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 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 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 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: 1.4ms 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: 1.2ms preprocess, 2.1ms inference, 0.6ms 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, 0.6ms 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 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: 1.1ms 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, 0.6ms 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: 1.2ms 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: 1.2ms 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: 1.0ms 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, 0.5ms 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, 2.7ms\n", - "Speed: 1.3ms preprocess, 2.7ms inference, 0.5ms 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, 2.2ms\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, 2.1ms\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: 1.0ms 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, 2.2ms\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, 2.2ms\n", - "Speed: 1.2ms 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, 2.1ms\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: 1.2ms 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, 2.2ms\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, 2.1ms\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: 1.3ms 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, 0.7ms 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: 1.1ms 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: 1.1ms 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, 0.7ms 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, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.2ms\n", - "Speed: 1.5ms 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, 3.1ms\n", - "Speed: 1.1ms preprocess, 3.1ms 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, 2.2ms\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, 2.2ms\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, 2.2ms\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: 1.1ms 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: 1.2ms 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, 0.6ms 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, 2.2ms\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 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, 2.2ms\n", - "Speed: 1.2ms preprocess, 2.2ms 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, 0.8ms 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, 0.7ms 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 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, 2.5ms\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: 1.0ms 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 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, 0.8ms 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 2 swoons, 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: 1.0ms 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, 2.2ms\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 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, 2.1ms\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, 2.2ms\n", - "Speed: 1.0ms 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, 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, 2.1ms\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, 2.1ms\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 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, 0.6ms 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 3 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 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 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, 2.1ms\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, 2.1ms\n", - "Speed: 1.0ms 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: 1.1ms 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 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 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, 0.8ms 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: 1.3ms preprocess, 2.2ms inference, 0.9ms 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, 0.7ms 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 2 swoons, 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, 2.3ms\n", - "Speed: 1.1ms 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: 1.1ms 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, 0.6ms 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, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 2 swoons, 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 2 swoons, 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: 1.2ms preprocess, 2.1ms inference, 1.2ms 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, 2.1ms\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: 1.0ms 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: 1.1ms 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, 2.1ms\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: 1.2ms 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: 1.3ms 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, 2.2ms\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, 2.2ms\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: 1.4ms preprocess, 2.2ms 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 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 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 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, 2.1ms\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 2 swoons, 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, 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: 1.0ms 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: 1.0ms 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, 2.7ms\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: 1.1ms 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 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, 0.6ms 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, 0.7ms 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, 2.2ms\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, 2.1ms\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, 2.6ms\n", - "Speed: 1.1ms preprocess, 2.6ms 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, 2.4ms\n", - "Speed: 1.3ms preprocess, 2.4ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.2ms\n", - "Speed: 1.6ms 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, 2.2ms\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: 1.3ms 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: 1.4ms 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, 0.7ms 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, 2.1ms\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: 1.3ms preprocess, 2.1ms 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, 384, 640)\n", - "\n", - "0: 384x640 3 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 3 swoons, 2.3ms\n", - "Speed: 1.4ms preprocess, 2.3ms inference, 1.0ms 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, 2.7ms\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: 1.1ms 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: 1.1ms 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, 2.1ms\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, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.7ms\n", - "Speed: 1.3ms 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, 2.1ms\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: 1.1ms 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, 2.2ms\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: 1.3ms 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: 1.1ms 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 2 swoons, 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: 1.4ms 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: 1.3ms 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, 0.7ms 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", - "\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, 2.1ms\n", - "Speed: 1.3ms 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: 1.1ms 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, 2.1ms\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: 1.4ms preprocess, 2.2ms inference, 0.7ms 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, 2.1ms\n", - "Speed: 1.4ms 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: 1.3ms 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, 2.1ms\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, 2.5ms\n", - "Speed: 1.1ms preprocess, 2.5ms inference, 0.8ms 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, 2.1ms\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, 2.1ms\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: 1.2ms 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, 2.1ms\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, 2.7ms\n", - "Speed: 1.4ms 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, 2.2ms\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, 2.1ms\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, 2.2ms\n", - "Speed: 1.2ms 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: 1.0ms 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: 1.0ms 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, 2.2ms\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: 1.0ms 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, 2.1ms\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, 2.1ms\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: 1.2ms 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: 1.0ms 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, 2.6ms\n", - "Speed: 1.3ms preprocess, 2.6ms 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 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: 1.1ms 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: 1.0ms 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, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n", - 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"\n", - "0: 384x640 1 swoon, 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: 1.1ms 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: 1.0ms 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, 0.7ms 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, 2.1ms\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, 2.4ms\n", - "Speed: 1.0ms preprocess, 2.4ms 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, 0.6ms 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, 0.7ms 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, 2.5ms\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, 2.2ms\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, 2.6ms\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, 2.1ms\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, 0.7ms 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: 1.1ms 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, 2.2ms\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, 2.6ms\n", - "Speed: 1.4ms preprocess, 2.6ms 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, 2.1ms\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, 2.1ms\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, 2.1ms\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, 2.2ms\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: 1.0ms 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, 2.1ms\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 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: 1.2ms 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: 1.2ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.7ms\n", - "Speed: 1.2ms preprocess, 2.7ms 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: 1.2ms 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: 1.1ms 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: 1.4ms 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, 2.2ms\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: 1.0ms 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: 1.1ms 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, 2.1ms\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: 1.0ms 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: 1.1ms 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, 2.2ms\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, 2.1ms\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: 1.2ms 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, 2.2ms\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: 1.0ms 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: 1.1ms 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: 1.1ms 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: 1.1ms 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: 1.2ms 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, 0.6ms 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 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, 2.2ms\n", - "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - 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"\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, 2.1ms\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: 1.4ms 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: 1.3ms 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: 1.0ms 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: 1.0ms 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: 1.4ms preprocess, 2.3ms 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, 2.8ms\n", - "Speed: 1.3ms preprocess, 2.8ms 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, 2.2ms\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, 2.2ms\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: 1.1ms 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, 2.1ms\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, 2.1ms\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: 1.2ms 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: 1.0ms 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: 1.0ms 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: 1.1ms 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, 0.7ms 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, 2.6ms\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, 2.1ms\n", - "Speed: 1.4ms 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: 1.4ms 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, 2.2ms\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, 2.6ms\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, 2.5ms\n", - "Speed: 1.4ms 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: 1.0ms 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, 2.7ms\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: 1.1ms 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, 2.6ms\n", - "Speed: 1.3ms preprocess, 2.6ms inference, 0.7ms 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, 0.9ms 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: 1.0ms 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, 2.7ms\n", - "Speed: 1.4ms preprocess, 2.7ms 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, 2.1ms\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: 1.1ms 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, 2.2ms\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, 2.1ms\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, 2.7ms\n", - "Speed: 1.4ms preprocess, 2.7ms 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, 2.1ms\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", - 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"\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, 2.2ms\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, 2.2ms\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, 0.7ms 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, 2.2ms\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, 0.7ms 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, 2.2ms\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: 1.2ms preprocess, 2.1ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 1 swoon, 2.5ms\n", - "Speed: 1.5ms 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: 0.9ms 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, 2.1ms\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, 2.5ms\n", - "Speed: 1.4ms 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: 1.0ms 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, 2.5ms\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, 2.2ms\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: 1.0ms 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: 1.5ms 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, 2.2ms\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: 1.0ms 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: 1.2ms 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, 2.1ms\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, 2.1ms\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, 2.2ms\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: 1.0ms 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, 0.7ms 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, 2.1ms\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, 2.1ms\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, 2.2ms\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, 2.1ms\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, 2.1ms\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 2 swoons, 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, 2.7ms\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: 1.3ms 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: 1.1ms 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, 2.2ms\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, 0.7ms 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, 2.2ms\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, 2.2ms\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: 1.1ms 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, 0.6ms 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: 1.3ms preprocess, 2.3ms 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, 2.3ms\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, 2.2ms\n", - "Speed: 1.4ms 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, 0.7ms 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, 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, 0.9ms 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, 2.1ms\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 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 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, 2.1ms\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, 0.7ms 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, 0.7ms 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, 0.7ms 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: 1.1ms 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, 0.7ms 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, 2.1ms\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, 2.2ms\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, 2.2ms\n", - "Speed: 1.2ms 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, 2.2ms\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, 2.3ms\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, 2.4ms\n", - "Speed: 1.4ms preprocess, 2.4ms 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, 2.1ms\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, 2.1ms\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, 2.7ms\n", - "Speed: 1.2ms preprocess, 2.7ms 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: 1.1ms 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, 2.2ms\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: 1.2ms 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, 0.6ms 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: 1.0ms 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, 2.1ms\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, 3.1ms\n", - "Speed: 1.3ms preprocess, 3.1ms 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: 1.4ms 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, 2.1ms\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: 1.0ms 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, 0.7ms 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: 1.4ms 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 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: 1.4ms preprocess, 2.1ms inference, 1.0ms 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, 0.4ms 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: 1.3ms 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: 1.4ms preprocess, 2.1ms inference, 0.9ms 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, 2.2ms\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, 0.7ms 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, 2.2ms\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, 2.1ms\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: 1.3ms 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: 1.3ms 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: 1.1ms 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: 1.0ms 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, 2.1ms\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 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: 1.1ms 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, 2.1ms\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, 0.7ms 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, 2.1ms\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, 2.1ms\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, 2.1ms\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, 2.1ms\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, 2.1ms\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, 2.2ms\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: 1.0ms 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, 2.1ms\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, 2.1ms\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, 2.2ms\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: 1.1ms 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: 1.1ms 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, 2.3ms\n", - "Speed: 1.4ms 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, 2.1ms\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, 2.7ms\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: 1.1ms 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, 2.1ms\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, 2.2ms\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, 0.7ms 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, 2.1ms\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 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 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 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: 1.2ms 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), 2.7ms\n", - "Speed: 1.4ms preprocess, 2.7ms 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", - "\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, 2.1ms\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, 2.4ms\n", - "Speed: 1.5ms preprocess, 2.4ms 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 1 swoon, 2.4ms\n", - "Speed: 1.2ms preprocess, 2.4ms 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, 0.5ms 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, 0.6ms 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 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, 0.4ms 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 (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 (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 (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, 2.2ms\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: 1.2ms preprocess, 2.1ms inference, 0.5ms 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: 1.1ms 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: 1.4ms 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, 2.6ms\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, 2.1ms\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: 1.2ms preprocess, 2.1ms inference, 0.9ms 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, 2.6ms\n", - "Speed: 1.4ms 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: 1.1ms 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, 2.7ms\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, 2.4ms\n", - "Speed: 1.4ms preprocess, 2.4ms inference, 0.6ms 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, 2.2ms\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 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, 2.2ms\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, 2.2ms\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: 1.3ms 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: 1.3ms 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, 0.4ms 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: 1.1ms 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: 1.1ms preprocess, 2.1ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 3 swoons, 2.6ms\n", - "Speed: 1.3ms preprocess, 2.6ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 3 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 2 swoons, 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 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 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, 2.1ms\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: 1.1ms 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: 1.0ms 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 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 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 (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", - "\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 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 (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", - "\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, 2.2ms\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), 2.2ms\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, 2.1ms\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: 1.0ms 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, 2.1ms\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, 2.1ms\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, 0.4ms 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 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: 1.2ms preprocess, 2.2ms inference, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 3 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, 0.6ms 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, 2.2ms\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, 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, 2.2ms\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: 1.0ms 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: 1.1ms 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 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, 0.7ms 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: 1.1ms 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, 0.4ms 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, 2.1ms\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, 2.2ms\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: 1.0ms preprocess, 2.1ms inference, 0.4ms 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 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 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: 1.1ms 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, 2.2ms\n", - "Speed: 1.2ms 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, 2.1ms\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 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, 0.8ms 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, 2.2ms\n", - "Speed: 1.0ms preprocess, 2.2ms inference, 0.6ms 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, 0.7ms 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), 2.2ms\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 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 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: 1.1ms 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, 2.1ms\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 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, 0.6ms 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: 1.1ms 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 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, 2.1ms\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, 0.7ms 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 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 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, 2.1ms\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, 2.3ms\n", - "Speed: 1.2ms 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: 1.0ms 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, 2.1ms\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: 1.2ms 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, 2.2ms\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: 1.2ms 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: 1.2ms 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: 1.3ms 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: 1.4ms 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, 2.1ms\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: 1.3ms 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, 2.2ms\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: 1.1ms 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: 1.2ms 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: 1.0ms 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, 2.2ms\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: 1.0ms 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, 0.6ms 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: 1.1ms 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, 2.1ms\n", - "Speed: 1.4ms 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: 1.2ms preprocess, 2.2ms 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, 2.1ms\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: 1.4ms 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: 1.2ms 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: 1.2ms preprocess, 2.1ms inference, 1.0ms 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: 1.4ms 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: 1.1ms 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, 2.7ms\n", - "Speed: 1.3ms preprocess, 2.7ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n", - 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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 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 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 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 2 swoons, 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 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: 1.0ms 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, 0.7ms 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: 1.2ms 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, 0.6ms 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 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 2 swoons, 2.2ms\n", - "Speed: 1.3ms preprocess, 2.2ms inference, 0.8ms 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: 1.0ms 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, 0.6ms 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 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, 2.1ms\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, 2.7ms\n", - "Speed: 1.3ms preprocess, 2.7ms 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 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, 0.6ms 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 1 swoon, 2.3ms\n", - "Speed: 1.1ms 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, 0.7ms 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, 2.1ms\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: 1.1ms 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, 2.1ms\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, 0.6ms 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: 1.2ms preprocess, 2.2ms 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, 0.5ms 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: 1.2ms preprocess, 2.1ms inference, 1.0ms 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 (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 (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), 2.6ms\n", - "Speed: 1.3ms preprocess, 2.6ms inference, 0.2ms 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", - "\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 (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), 2.1ms\n", - "Speed: 1.1ms 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: 1.1ms 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, 0.4ms 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, 0.4ms 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 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, 0.6ms 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: 1.3ms 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: 1.2ms 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: 1.2ms 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", - "\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, 0.4ms 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 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 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: 1.0ms 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: 1.3ms 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: 1.1ms preprocess, 2.6ms 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, 2.3ms\n", - "Speed: 1.1ms preprocess, 2.3ms inference, 0.9ms 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: 1.5ms preprocess, 2.1ms inference, 0.6ms 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 (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 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 (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 (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: 1.3ms preprocess, 2.2ms inference, 0.3ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 (no detections), 2.6ms\n", - "Speed: 1.3ms preprocess, 2.6ms 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, 0.6ms 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, 0.4ms 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, 0.6ms 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, 2.6ms\n", - "Speed: 1.2ms preprocess, 2.6ms 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: 1.0ms 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: 1.2ms 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, 0.5ms 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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"\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: 1.2ms preprocess, 2.1ms inference, 1.0ms 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: 1.3ms preprocess, 2.1ms inference, 0.5ms 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 (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 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 (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, 0.4ms 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, 0.4ms 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, 0.4ms 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, 2.1ms\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: 1.3ms 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, 2.7ms\n", - "Speed: 1.3ms preprocess, 2.7ms 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, 2.1ms\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, 2.1ms\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, 2.2ms\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, 0.7ms 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, 0.4ms 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 1 swoon, 2.8ms\n", - "Speed: 1.3ms preprocess, 2.8ms inference, 0.9ms 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 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: 1.3ms 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: 1.0ms 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, 2.2ms\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: 1.3ms 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: 1.5ms 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, 0.6ms 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: 1.0ms 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, 2.2ms\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: 1.2ms 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: 1.1ms 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: 1.0ms 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: 1.0ms 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, 0.7ms 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, 2.1ms\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, 2.2ms\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, 2.2ms\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, 2.2ms\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: 1.0ms 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: 1.1ms 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, 0.7ms 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, 2.1ms\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, 2.1ms\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, 2.1ms\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: 1.1ms preprocess, 2.2ms inference, 0.7ms 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: 1.3ms 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, 2.1ms\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: 1.5ms preprocess, 2.2ms 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, 2.2ms\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 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 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 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 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 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 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, 2.2ms\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, 2.1ms\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, 2.2ms\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: 1.0ms preprocess, 2.2ms 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, 2.2ms\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, 0.8ms 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, 2.2ms\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, 0.7ms 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, 2.2ms\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, 2.2ms\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, 0.7ms 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, 0.6ms postprocess per image at shape (1, 3, 384, 640)\n", - "\n", - "0: 384x640 2 swoons, 2.4ms\n", - "Speed: 1.3ms preprocess, 2.4ms inference, 0.9ms 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 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, 2.2ms\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, 2.2ms\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, 2.1ms\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, 2.2ms\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, 0.6ms 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 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 1 swoon, 2.2ms\n", - "Speed: 1.2ms 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 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: 1.2ms 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, 0.6ms 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, 2.2ms\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, 2.2ms\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, 0.7ms 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, 0.7ms 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, 0.6ms 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 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: 1.0ms 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: 1.1ms 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, 2.2ms\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), 2.2ms\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, 2.2ms\n", - "Speed: 1.1ms preprocess, 2.2ms inference, 0.5ms 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, 2.2ms\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, 2.2ms\n", - "Speed: 1.0ms preprocess, 2.2ms inference, 0.4ms 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 (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, 2.2ms\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, 2.2ms\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, 2.2ms\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, 2.2ms\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, 0.5ms 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), 2.2ms\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 (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 (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 (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, 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, 2.2ms\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, 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: 1.0ms 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 3 swoons, 2.2ms\n", - "Speed: 1.1ms preprocess, 2.2ms inference, 0.9ms 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, 2.2ms\n", - "Speed: 1.1ms preprocess, 2.2ms inference, 0.5ms 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: 1.1ms 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 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: 1.1ms 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, 2.1ms\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, 0.7ms 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, 2.2ms\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, 2.1ms\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: 1.1ms 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, 2.1ms\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: 1.2ms preprocess, 2.3ms 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, 2.2ms\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, 2.1ms\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, 0.7ms 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, 0.7ms 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, 2.1ms\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, 2.3ms\n", - "Speed: 1.2ms 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, 2.1ms\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, 0.7ms 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, 0.7ms 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: 1.4ms 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: 1.1ms 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, 2.2ms\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: 1.0ms 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, 0.7ms 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, 2.7ms\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: 1.1ms 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, 2.2ms\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, 2.1ms\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, 2.1ms\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, 2.2ms\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, 2.2ms\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, 0.5ms 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, 2.2ms\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, 2.2ms\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: 1.1ms preprocess, 2.2ms inference, 0.4ms 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 (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, 0.4ms 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, 0.4ms 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, 0.4ms 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: 1.1ms 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, 2.2ms\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: 1.1ms 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: 1.1ms 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: 1.0ms 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: 1.1ms preprocess, 2.2ms inference, 0.3ms 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: 1.1ms 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: 1.0ms preprocess, 2.1ms inference, 0.5ms 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: 1.5ms 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, 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, 2.4ms\n", - "Speed: 1.0ms preprocess, 2.4ms 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, 2.2ms\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: 1.4ms preprocess, 2.2ms inference, 0.5ms 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: 1.0ms 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/vis6class_exp/test.ipynb b/vis6class_exp/test.ipynb deleted file mode 100644 index d822716..0000000 --- a/vis6class_exp/test.ipynb +++ /dev/null @@ -1,348 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 5, - "id": "817586c7", - "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: 32702 개\n", - " - Class 3: 16284 개\n", - " - Class 4: 9117 개\n", - " - Class 5: 40378 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": 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 -}