Claude
b4fae0909c
rembg>=2.0.70 requires scikit-image>=0.26.0, which conflicted with the pinned scikit-image==0.22.0. Instead of pinning specific versions, let pip resolve compatible versions automatically based on rembg's requirements. Also removed numpy pin as it may conflict with torch/rembg dependencies - pip will select a compatible version. https://claude.ai/code/session_01MYpjNQXD1fZE4gCweGU4QQ
25 lines
832 B
Plaintext
25 lines
832 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>=12.1.0,<13.0.0
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# numpy version will be resolved by pip based on torch/rembg requirements
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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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# scikit-image removed - let pip resolve it automatically via rembg dependency
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# rembg for background removal with BiRefNet models (state-of-the-art)
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# Using latest onnxruntime (1.17+ fixed executable stack issues)
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onnxruntime>=1.17.0
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rembg>=2.0.70
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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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