From b4fae0909c481f93c4056914dbc4e6c22f7e3191 Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 27 Jan 2026 17:36:30 +0000 Subject: [PATCH 1/2] Remove pinned numpy and scikit-image to fix rembg dependency resolution 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 --- backend/requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/backend/requirements.txt b/backend/requirements.txt index e854d50..0fb7f77 100644 --- a/backend/requirements.txt +++ b/backend/requirements.txt @@ -2,7 +2,7 @@ fastapi==0.109.0 uvicorn[standard]==0.27.0 python-multipart==0.0.6 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 python-jose[cryptography]==3.3.0 passlib[bcrypt]==1.7.4 @@ -13,7 +13,7 @@ pydantic==2.5.3 pydantic-settings==2.1.0 email-validator==2.1.0 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) # Using latest onnxruntime (1.17+ fixed executable stack issues) onnxruntime>=1.17.0 From 62ad349a83ef8ebab1d59dd160e574c1f11c32b4 Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 27 Jan 2026 17:37:07 +0000 Subject: [PATCH 2/2] Update torch/torchvision for numpy 2.x compatibility 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 --- backend/requirements.txt | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/backend/requirements.txt b/backend/requirements.txt index 0fb7f77..f7c393c 100644 --- a/backend/requirements.txt +++ b/backend/requirements.txt @@ -19,6 +19,7 @@ opencv-python-headless==4.9.0.80 onnxruntime>=1.17.0 rembg>=2.0.70 # SAM (Segment Anything) for smart object selection - runs locally, no API needed -torch==2.1.2 -torchvision==0.16.2 +# Using torch 2.4+ for numpy 2.x compatibility (required by scikit-image 0.26+) +torch>=2.4.0 +torchvision>=0.19.0 segment-anything @ git+https://github.com/facebookresearch/segment-anything.git