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limbicnation 3094651eb8 feat: GrabCut H100 optimization — torch.no_grad, Pydantic validation, structlog, type hints
- grabcut_nodes.py: torch.no_grad() on remove_background + refine_mask,
  dtype=torch.float32 on all tensor conversions, torch.cuda.empty_cache()
  in finally blocks, Pydantic validation at start of every execute()
- grabcut_remover.py: Full type-hinting on GrabCutProcessor (mypy-ready),
  structlog observability with GPU memory tracking (_log_gpu_memory),
  torch.no_grad() + empty_cache() on all inference paths
- requirements.txt: Pin torch>=2.1.0, Pillow>=10.4.0 (CVE fix),
  opencv>=4.10.0, structlog>=24.4.0, pydantic>=2.7.0
- pyproject.toml: python>=3.10 (from 3.8)
- src/validation.py: NEW — Pydantic models for all user-facing params
  (GrabCutParams, ScalingParams, MaskParams, BBoxParams, GrabCutNodeParams)
- src/__init__.py: NEW — package marker
- 6/6 pytest tests pass, node import test passes

Ref: CD-14 | notion:32c40bf6-db23-8001-92b8-dfe4d91dccb4
2026-03-29 06:14:15 +02:00

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torch>=2.1.0
numpy>=1.24.0
Pillow>=10.4.0
opencv-python>=4.10.0
opencv-contrib-python>=4.10.0
scikit-learn>=1.4.0
ultralytics>=8.3.0
structlog>=24.4.0
pydantic>=2.7.0