Claude
62ad349a83
scikit-image 0.26+ (required by rembg) needs numpy 2.x compatible packages. Updated torch from 2.1.2 to 2.4+ and torchvision from 0.16.2 to 0.19+ which officially support numpy 2.x. https://claude.ai/code/session_01MYpjNQXD1fZE4gCweGU4QQ
26 lines
912 B
Plaintext
26 lines
912 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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# Using torch 2.4+ for numpy 2.x compatibility (required by scikit-image 0.26+)
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torch>=2.4.0
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torchvision>=0.19.0
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segment-anything @ git+https://github.com/facebookresearch/segment-anything.git
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