mirror of
https://github.com/blakeblackshear/frigate.git
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a96a951e23
* Non-Jetson changes Required for later commits: - Allow base image to be overridden (and don't assume its WORKDIR) - Ensure python3.9 - Map hwaccel decode presets as strings instead of lists Not required: - Fix existing documentation - Simplify hwaccel scale logic * Prepare for multi-arch tensorrt build * Add tensorrt images for Jetson boards * Add Jetson ffmpeg hwaccel * Update docs * Add CODEOWNERS * CI * Change default model from yolov7-tiny-416 to yolov7-320 In my experience the tiny models perform markedly worse without being much faster * fixup! Update docs
80 lines
3.0 KiB
Docker
80 lines
3.0 KiB
Docker
# syntax=docker/dockerfile:1.4
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# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
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ARG DEBIAN_FRONTEND=noninteractive
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ARG BASE_IMAGE
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FROM ${BASE_IMAGE} AS build-wheels
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ARG DEBIAN_FRONTEND
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# Use a separate container to build wheels to prevent build dependencies in final image
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RUN apt-get -qq update \
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&& apt-get -qq install -y --no-install-recommends \
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python3.9 python3.9-dev \
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wget build-essential cmake git \
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&& rm -rf /var/lib/apt/lists/*
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# Ensure python3 defaults to python3.9
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RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
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RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
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&& python3 get-pip.py "pip"
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FROM build-wheels AS trt-wheels
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ARG DEBIAN_FRONTEND
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ARG TARGETARCH
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# python-tensorrt build deps are 3.4 GB!
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RUN apt-get update \
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&& apt-get install -y ccache cuda-cudart-dev-* cuda-nvcc-* libnvonnxparsers-dev libnvparsers-dev libnvinfer-plugin-dev \
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&& ([ -e /usr/local/cuda ] || ln -s /usr/local/cuda-* /usr/local/cuda) \
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&& rm -rf /var/lib/apt/lists/*;
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# Determine version of tensorrt already installed in base image, e.g. "Version: 8.4.1-1+cuda11.4"
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RUN NVINFER_VER=$(dpkg -s libnvinfer8 | grep -Po "Version: \K.*") \
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&& echo $NVINFER_VER | grep -Po "^\d+\.\d+\.\d+" > /etc/TENSORRT_VER
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RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,target=/deps/build_python_tensorrt.sh \
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--mount=type=cache,target=/root/.ccache \
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export PATH="/usr/lib/ccache:$PATH" CCACHE_DIR=/root/.ccache CCACHE_MAXSIZE=2G \
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&& TENSORRT_VER=$(cat /etc/TENSORRT_VER) /deps/build_python_tensorrt.sh
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COPY docker/tensorrt/requirements-arm64.txt /requirements-tensorrt.txt
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RUN pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
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FROM build-wheels AS trt-model-wheels
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ARG DEBIAN_FRONTEND
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RUN apt-get update \
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&& apt-get install -y protobuf-compiler libprotobuf-dev \
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&& rm -rf /var/lib/apt/lists/*
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RUN --mount=type=bind,source=docker/tensorrt/requirements-models-arm64.txt,target=/requirements-tensorrt-models.txt \
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pip3 wheel --wheel-dir=/trt-model-wheels -r /requirements-tensorrt-models.txt
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FROM wget AS jetson-ffmpeg
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ARG DEBIAN_FRONTEND
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ENV CCACHE_DIR /root/.ccache
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ENV CCACHE_MAXSIZE 2G
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RUN --mount=type=bind,source=docker/tensorrt/build_jetson_ffmpeg.sh,target=/deps/build_jetson_ffmpeg.sh \
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--mount=type=cache,target=/root/.ccache \
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/deps/build_jetson_ffmpeg.sh
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# Frigate w/ TensorRT for NVIDIA Jetson platforms
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FROM tensorrt-base AS frigate-tensorrt
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RUN apt-get update \
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&& apt-get install -y python-is-python3 libprotobuf17 \
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&& rm -rf /var/lib/apt/lists/*
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RUN rm -rf /usr/lib/btbn-ffmpeg/
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COPY --from=jetson-ffmpeg /rootfs /
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COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
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RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
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--mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
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pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
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&& ldconfig
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WORKDIR /opt/frigate/
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COPY --from=rootfs / /
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