| FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime | |
| ENV DEBIAN_FRONTEND=noninteractive | |
| RUN apt-get update && apt-get install -y \ | |
| git make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev \ | |
| libsqlite3-dev wget curl llvm libncursesw5-dev xz-utils tk-dev libxml2-dev \ | |
| libxmlsec1-dev libffi-dev liblzma-dev git-lfs ffmpeg libsm6 libxext6 cmake \ | |
| libgl1-mesa-glx \ | |
| && rm -rf /var/lib/apt/lists/* && git lfs install | |
| RUN useradd -m -u 1000 user | |
| USER user | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH \ | |
| PYTHONPATH=$HOME/app \ | |
| PYTHONUNBUFFERED=1 \ | |
| GRADIO_ALLOW_FLAGGING=never \ | |
| GRADIO_NUM_PORTS=1 \ | |
| GRADIO_SERVER_NAME=0.0.0.0 \ | |
| GRADIO_THEME=huggingface \ | |
| GRADIO_SHARE=False \ | |
| SYSTEM=spaces | |
| # Set the working directory to the user's home directory | |
| WORKDIR $HOME/app | |
| # Install specific versions of PyTorch and TorchVision | |
| RUN pip install torch==2.0.1+cu117 torchvision==0.15.2+cu117 -f https://download.pytorch.org/whl/torch_stable.html | |
| # Install dependencies | |
| RUN pip install --no-cache-dir gradio==3.50.2 opencv-python supervision==0.17.0rc4 \ | |
| pillow requests setofmark==0.1.0rc3 | |
| # Install SAM and Detectron2 | |
| RUN pip install 'git+https://github.com/facebookresearch/segment-anything.git' | |
| RUN pip install 'git+https://github.com/facebookresearch/detectron2.git' | |
| # Download weights | |
| RUN mkdir -p $HOME/app/weights | |
| RUN wget -c -O $HOME/app/weights/sam_vit_h_4b8939.pth https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth | |
| COPY app.py . | |
| COPY utils.py . | |
| COPY sam_utils.py . | |
| RUN find $HOME/app | |
| # Set the environment variable to specify the GPU device | |
| ENV CUDA_DEVICE_ORDER=PCI_BUS_ID | |
| ENV CUDA_VISIBLE_DEVICES=0 | |
| # Run your app.py script | |
| CMD ["python", "app.py"] | |