frigate/docker/tensorrt/Dockerfile.arm64

# syntax=docker/dockerfile:1.4

# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
ARG DEBIAN_FRONTEND=noninteractive

ARG BASE_IMAGE
FROM ${BASE_IMAGE} AS build-wheels
ARG DEBIAN_FRONTEND

RUN apt-get update && \
    apt-get install software-properties-common -y && \
    add-apt-repository ppa:deadsnakes/ppa -y && \
    apt-get update

# Use a separate container to build wheels to prevent build dependencies in final image
RUN apt-get -qq update \
    && apt-get -qq install -y --no-install-recommends \
       python3.9 python3.9-dev python3.9-distutils \
       wget build-essential cmake git \
    && rm -rf /var/lib/apt/lists/*

# Ensure python3 defaults to python3.9
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1

RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
    && python3 get-pip.py "pip"


FROM build-wheels AS trt-wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH

RUN apt-key adv --fetch-key https://repo.download.nvidia.com/jetson/jetson-ota-public.asc

RUN echo "deb https://repo.download.nvidia.com/jetson/common r36.3 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
RUN echo "deb https://repo.download.nvidia.com/jetson/t234 r36.3 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
RUN echo "deb https://repo.download.nvidia.com/jetson/ffmpeg r36.3 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list

RUN mkdir -p /opt/nvidia/l4t-packages/
RUN touch /opt/nvidia/l4t-packages/.nv-l4t-disable-boot-fw-update-in-preinstall

# python-tensorrt build deps are 3.4 GB!
RUN apt-get update \
    && apt-get install -y ccache cuda-cudart-dev-* cuda-nvcc-* libnvonnxparsers-dev libnvparsers-dev libnvinfer-plugin-dev \
    && ([ -e /usr/local/cuda ] || ln -s /usr/local/cuda-* /usr/local/cuda) \
    && rm -rf /var/lib/apt/lists/*;

# Determine version of tensorrt already installed in base image, e.g. "Version: 8.4.1-1+cuda11.4"
RUN NVINFER_VER=$(dpkg -s libnvinfer8 | grep -Po "Version: \K.*") \
    && echo $NVINFER_VER | grep -Po "^\d+\.\d+\.\d+" > /etc/TENSORRT_VER

RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,target=/deps/build_python_tensorrt.sh \
    --mount=type=cache,target=/root/.ccache \
    export PATH="/usr/lib/ccache:$PATH" CCACHE_DIR=/root/.ccache CCACHE_MAXSIZE=2G \
    && TENSORRT_VER=$(cat /etc/TENSORRT_VER) /deps/build_python_tensorrt.sh

COPY docker/tensorrt/requirements-arm64.txt /requirements-tensorrt.txt
RUN pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt

FROM build-wheels AS trt-model-wheels
ARG DEBIAN_FRONTEND

RUN apt-get update \
    && apt-get install -y protobuf-compiler libprotobuf-dev \
    && rm -rf /var/lib/apt/lists/*
RUN --mount=type=bind,source=docker/tensorrt/requirements-models-arm64.txt,target=/requirements-tensorrt-models.txt \
    pip3 wheel --wheel-dir=/trt-model-wheels -r /requirements-tensorrt-models.txt

FROM wget AS jetson-ffmpeg
ARG DEBIAN_FRONTEND
ENV CCACHE_DIR /root/.ccache
ENV CCACHE_MAXSIZE 2G
RUN --mount=type=bind,source=docker/tensorrt/build_jetson_ffmpeg.sh,target=/deps/build_jetson_ffmpeg.sh \
    --mount=type=cache,target=/root/.ccache \
    /deps/build_jetson_ffmpeg.sh

# Frigate w/ TensorRT for NVIDIA Jetson platforms
FROM tensorrt-base AS frigate-tensorrt
RUN apt-get update \
    && apt-get install -y python-is-python3 libprotobuf23  \
    && rm -rf /var/lib/apt/lists/*

RUN rm -rf /usr/lib/btbn-ffmpeg/
COPY --from=jetson-ffmpeg /rootfs /

COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
    --mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
    pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
    && ldconfig

WORKDIR /opt/frigate/
COPY --from=rootfs / /