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Remove pinned numpy and scikit-image to fix rembg dependency resolution

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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
This commit is contained in:
Claude
2026-01-27 17:36:30 +00:00
parent e902ceb0a8
commit b4fae0909c
1 changed files with 2 additions and 2 deletions
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backend/requirements.txt
+2 -2
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@@ -2,7 +2,7 @@ fastapi==0.109.0
uvicorn[standard]==0.27.0 uvicorn[standard]==0.27.0
python-multipart==0.0.6 python-multipart==0.0.6
Pillow>=12.1.0,<13.0.0 Pillow>=12.1.0,<13.0.0
numpy==2.3.0 # numpy version will be resolved by pip based on torch/rembg requirements
sqlalchemy==2.0.25 sqlalchemy==2.0.25
python-jose[cryptography]==3.3.0 python-jose[cryptography]==3.3.0
passlib[bcrypt]==1.7.4 passlib[bcrypt]==1.7.4
@@ -13,7 +13,7 @@ pydantic==2.5.3
pydantic-settings==2.1.0 pydantic-settings==2.1.0
email-validator==2.1.0 email-validator==2.1.0
opencv-python-headless==4.9.0.80 opencv-python-headless==4.9.0.80
scikit-image==0.22.0 # scikit-image removed - let pip resolve it automatically via rembg dependency
# rembg for background removal with BiRefNet models (state-of-the-art) # rembg for background removal with BiRefNet models (state-of-the-art)
# Using latest onnxruntime (1.17+ fixed executable stack issues) # Using latest onnxruntime (1.17+ fixed executable stack issues)
onnxruntime>=1.17.0 onnxruntime>=1.17.0