3 Commits (db2ef9b4ec9dc48fc18fe154f3dcb9af673c8f78)

Author	SHA1	Message	Date
songhyeonsoo	f4e8d2ba4b	run_step1: add timestamp to output dir and wandb run name, reset synth data on each run ... Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	4 weeks ago
songhyeonsoo	77c566a10a	fix: tight polygon 라벨 + eval GT mat 생성 파이프라인 추가 ... - generate_synthetic.py: plate 전체 box → 글자 실제 좌표 기반 tight polygon으로 변경 (글자 반복 출력·over-segmentation의 근본 원인 해결) gen_type1/2/_gen_two_line 모두 (plate, label_list) 통일 반환 - tools/make_gt_mat.py: test.txt → ICDAR wordBB 포맷 gt_img_N.mat 생성 스크립트 신규 (E2EMetric seqerr=0.99 고착 문제 해결) - scripts/run_step1.sh: 데이터 생성 → GT mat 생성 → 학습 3단계로 재구성 NUM_SAMPLES 환경변수로 데이터 수 제어 가능 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	1 month ago
songhyeonsu	82c046522e	Add Step1 training runner and lower default epochs to 50 ... - run_step1.sh: symlinks /workspace/train_data into PaddleOCR, runs tools/train.py with the step1 pretrain checkpoint, supports DRY_RUN=1 for quick smoke test and EPOCHS=N override - epoch_num: 200 -> 50 (matches the 50k synthetic budget) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	1 month ago