mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-12-23 19:11:14 +01:00
55 lines
2.5 KiB
Docker
55 lines
2.5 KiB
Docker
FROM frigate-base
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LABEL maintainer "blakeb@blakeshome.com"
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# Install packages for apt repo
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RUN apt-get -qq update \
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&& apt-get -qq install --no-install-recommends -y \
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# ffmpeg dependencies
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libgomp1 \
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## Tensorflow lite
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&& wget -q https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
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&& python3.8 -m pip install tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
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&& rm tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
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&& rm -rf /var/lib/apt/lists/* \
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&& (apt-get autoremove -y; apt-get autoclean -y)
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# nvidia layer (see https://gitlab.com/nvidia/container-images/cuda/blob/master/dist/11.1/ubuntu20.04-x86_64/base/Dockerfile)
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ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gnupg2 curl ca-certificates && \
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curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub | apt-key add - && \
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echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
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echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \
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apt-get purge --autoremove -y curl \
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&& rm -rf /var/lib/apt/lists/*
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ENV CUDA_VERSION 11.1.1
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# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
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RUN apt-get update && apt-get install -y --no-install-recommends \
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cuda-cudart-11-1=11.1.74-1 \
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cuda-compat-11-1 \
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&& ln -s cuda-11.1 /usr/local/cuda && \
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rm -rf /var/lib/apt/lists/*
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# Required for nvidia-docker v1
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RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
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echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
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ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
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ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
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# nvidia-container-runtime
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ENV NVIDIA_VISIBLE_DEVICES all
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ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
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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"
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# s6-overlay
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ADD https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-amd64-installer /tmp/
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RUN chmod +x /tmp/s6-overlay-amd64-installer && /tmp/s6-overlay-amd64-installer /
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ENTRYPOINT ["/init"]
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CMD ["python3", "-u", "-m", "frigate"] |