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fix: pass ruff lint+format, clean README, remove stray script
Priya Monishafa0ce5b
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section-2: dataset acquisition — loader, dataset, helpers, 01_data_acquisition notebook
Priya MonishaKey corrections from mentor notebook analysis: - config.py: replaced COCO original IDs (1-90) with HF 0-indexed IDs (0-79) via SELECTED_CLASSES dict and HF_CATEGORY_TO_CLASS_IDX reverse mapping - Fixed to 25 classes (mentor's notebook had 26 by accidentally including 'train' vehicle) - Confirmed bbox format: [x,y,w,h] absolute pixels (not [xmin,ymin,xmax,ymax]) - No trust_remote_code needed for detection-datasets/coco src/utils/helpers.py: - NumpyEncoder (torch.Tensor → np.bool_ → np.integer → np.floating → np.ndarray) - save_json/load_json with NumpyEncoder - HF Hub helpers: upload_model_to_hub, download_model_from_hub (HfApi().upload_file) - create_hub_repo with exist_ok=True src/data/loader.py: - verify_coco_mapping() using SELECTED_CLASSES + HF_CATEGORY_TO_CLASS_IDX - Checkpoint/resume (mentor had none — Colab disconnect = start over) - save_classification_crop: [x,y,w,h] → PIL.crop((x,y,x+w,y+h)) → resize 224×224 - save_detection_sample: [x,y,w,h] → YOLO normalized format - Pr…9b0ae38 -
section-0+1: project foundation — config.py, requirements, gitignore, project-docs
Priya Monisha- .claude/settings.json: permission allowlist + PostToolUse git-commit hook - .claude/rules/: no_model_in_pages, fast_mode, one_model_per_turn - config.py: Pydantic Settings + all 25 CLASSES with COCO ID comments + 38-rule reference - requirements.txt / requirements-docker.txt / requirements-hf.txt (CPU-only PyTorch index-url) - .gitignore: anchored /data/raw/, /models/*.pt, notebooks/*.ipynb, /runs/ - pyrightconfig.json: extraPaths=["."] for Pylance import resolution - All src/ and api/ __init__.py files - project-docs: 38 rules table, progress tracker, locked decisions - CLAUDE_CONTEXT.md: full session bootstrap contextd091717