Claude
41598722f1
rembg>=2.0.70 has an incompatible dependency chain: - rembg requires scikit-image>=0.26.0 - scikit-image 0.26+ pulls in numpy 2.x - opencv-python-headless 4.9.0.80 was compiled for numpy 1.x - Runtime crash: "numpy.core.multiarray failed to import" Fix: Revert to known-working numpy<2 stack: - numpy<2.0.0 (explicit pin) - Pillow 10.x (compatible with numpy 1.x) - torch 2.1.2 / torchvision 0.16.2 (numpy 1.x compatible) - Remove rembg and onnxruntime Background removal endpoints will return 500 with "rembg not installed" message (code already handles this gracefully). To re-enable rembg in future: update opencv-python-headless to 4.10+ which supports numpy 2.x. https://claude.ai/code/session_01MYpjNQXD1fZE4gCweGU4QQ
28 lines
888 B
Plaintext
28 lines
888 B
Plaintext
fastapi==0.109.0
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uvicorn[standard]==0.27.0
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python-multipart==0.0.6
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Pillow>=10.0.0,<11.0.0
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numpy<2.0.0
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sqlalchemy==2.0.25
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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python-dotenv==1.0.0
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aiofiles==23.2.1
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httpx==0.26.0
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pydantic==2.5.3
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pydantic-settings==2.1.0
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email-validator==2.1.0
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opencv-python-headless==4.9.0.80
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# SAM (Segment Anything) for smart object selection - runs locally, no API needed
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torch==2.1.2
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torchvision==0.16.2
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segment-anything @ git+https://github.com/facebookresearch/segment-anything.git
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# NOTE: rembg (background removal) disabled due to dependency conflicts
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# rembg>=2.0.70 requires:
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# - scikit-image>=0.26.0 which requires numpy>=2.0
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# - Pillow>=12.1.0
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# But opencv-python-headless 4.9.0.80 requires numpy<2.0
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# To enable rembg, need to update opencv-python-headless to 4.10+ (numpy 2.x compatible)
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# and update all dependent packages accordingly
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