- 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>
A freshly recreated ubuntu:24.04 container has no python3.10 yet, so the
script now installs deadsnakes + python3.10 + pip when missing. Step
numbering bumped to 1..8 accordingly.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- config: batch_size_per_card 14 -> 32 (5090 32GB headroom)
- setup_server.sh: pin nvidia-cudnn-cu13>=9.17 to match the sm_120 wheel
(without it conv2d hits "Cannot load symbol cublasLtCreate" abort)
- new scripts/recreate_container.sh: one-shot rebuild with --shm-size 8g,
preserves /root/.netrc so wandb auth survives, runs setup_server.sh
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Global.use_wandb: True + top-level wandb.project=kr_lp_pgnet
- Add wandb to setup_server.sh pip install list
User must run `docker exec -it kr_lp_pgnet wandb login` once before
training so the API key lands in /root/.netrc inside the container.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- 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>
- Install libgl1 and other OpenCV runtime deps via apt
- Skip paddle/blinker/opencv lines from PaddleOCR requirements (they conflict with the sm_120 wheel or system packages)
- Force opencv>=4.10 (numpy 2 ABI) then pin numpy<2 (imgaug uses removed np.sctypes)
- Smoke-test PGNet module imports before declaring success
Verified end-to-end on RTX 5090 + paddle 3.3.0.dev20251209.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
songhyeonsoo