FROM frigate-base LABEL maintainer "blakeb@blakeshome.com" # Install packages for apt repo RUN apt-get -qq update \ && apt-get -qq install --no-install-recommends -y \ # ffmpeg dependencies libgomp1 \ ## Tensorflow lite && wget -q https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \ && python3.8 -m pip install tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \ && rm tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \ && rm -rf /var/lib/apt/lists/* \ && (apt-get autoremove -y; apt-get autoclean -y) # nvidia layer (see https://gitlab.com/nvidia/container-images/cuda/blob/master/dist/11.1/ubuntu20.04-x86_64/base/Dockerfile) ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video RUN apt-get update && apt-get install -y --no-install-recommends \ gnupg2 curl ca-certificates && \ curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub | apt-key add - && \ echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \ echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \ apt-get purge --autoremove -y curl \ && rm -rf /var/lib/apt/lists/* ENV CUDA_VERSION 11.1.1 # For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a RUN apt-get update && apt-get install -y --no-install-recommends \ cuda-cudart-11-1=11.1.74-1 \ cuda-compat-11-1 \ && ln -s cuda-11.1 /usr/local/cuda && \ rm -rf /var/lib/apt/lists/* # Required for nvidia-docker v1 RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \ echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video ENV NVIDIA_REQUIRE_CUDA "cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 brand=tesla,driver>=450,driver<451" # s6-overlay ADD https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-amd64-installer /tmp/ RUN chmod +x /tmp/s6-overlay-amd64-installer && /tmp/s6-overlay-amd64-installer / ENTRYPOINT ["/init"] CMD ["python3", "-u", "-m", "frigate"]