car-segmentation-maskrcnn / requirements.txt
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# 1. Install Build Tools first
cmake
# 2. Install Specific PyTorch/CUDA Version (Compatible with Python 3.10)
--extra-index-url https://download.pytorch.org/whl/cu118
torch==2.1.2
torchvision==0.16.2
torchaudio==2.1.2
# 3. Install minimal essential dependencies for Detectron2 build
pyyaml>=5.1
fvcore>=0.1.5
iopath>=0.1.7
# 4. Install other libraries needed by your app.py
gradio
opencv-python-headless
matplotlib
termcolor
cloudpickle
submitit
ftfy
regex
tqdm
# 5. Install Detectron2 FROM SOURCE (listed last)
# Use --no-build-isolation to try and force it to use the already installed torch
# Requires C++ build tools (should be present via cmake/apt installs in base HF image)
git+https://github.com/facebookresearch/detectron2.git#egg=detectron2 --config-settings --no-build-isolation
# 6. Install CLIP from source
git+https://github.com/openai/CLIP.git