fastapi==0.109.0
uvicorn[standard]==0.27.0
python-multipart==0.0.6
Pillow>=12.1.0,<13.0.0
# 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
python-dotenv==1.0.0
aiofiles==23.2.1
httpx==0.26.0
pydantic==2.5.3
pydantic-settings==2.1.0
email-validator==2.1.0
opencv-python-headless==4.9.0.80
# 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
rembg>=2.0.70
# SAM (Segment Anything) for smart object selection - runs locally, no API needed
# 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
