fastapi==0.109.0
uvicorn[standard]==0.27.0
python-multipart==0.0.6
Pillow>=10.0.0,<11.0.0
numpy<2.0.0
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
# SAM (Segment Anything) for smart object selection - runs locally, no API needed
torch==2.1.2
torchvision==0.16.2
segment-anything @ git+https://github.com/facebookresearch/segment-anything.git

# Note: Using OpenCV DNN instead of onnxruntime for U2Net
# (onnxruntime has executable stack issues in some Docker environments)

# NOTE: rembg (background removal) disabled due to dependency conflicts
# rembg>=2.0.70 requires:
#   - scikit-image>=0.26.0 which requires numpy>=2.0
#   - Pillow>=12.1.0
# But opencv-python-headless 4.9.0.80 requires numpy<2.0
# To enable rembg, need to update opencv-python-headless to 4.10+ (numpy 2.x compatible)
# and update all dependent packages accordingly