mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-02-25 18:55:25 -06:00
it builds!
This commit is contained in:
Lander Noterman
parent
761c5109dc
commit
200d08871b
@ -36,9 +36,15 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then
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fi
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if [[ "${TARGETARCH}" == "arm64" ]]; then
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if [ -e /usr/local/cuda-12.6 ]; then
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# Assume Jetson (Python 3.10)
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pip3 install --break-system-packages https://github.com/feranick/TFlite-builds/releases/download/v2.17.0/tflite_runtime-2.17.0-cp310-cp310-linux_aarch64.whl
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pip3 install --break-system-packages https://github.com/feranick/pycoral/releases/download/2.0.2TF2.17.0/pycoral-2.0.2-cp310-cp310-linux_aarch64.whl
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else
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pip3 install --break-system-packages https://github.com/feranick/TFlite-builds/releases/download/v2.17.0/tflite_runtime-2.17.0-cp311-cp311-linux_aarch64.whl
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pip3 install --break-system-packages https://github.com/feranick/pycoral/releases/download/2.0.2TF2.17.0/pycoral-2.0.2-cp311-cp311-linux_aarch64.whl
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fi
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fi
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# btbn-ffmpeg -> amd64
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if [[ "${TARGETARCH}" == "amd64" ]]; then
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@ -10,29 +10,16 @@ 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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RUN NVINFER_VER=$(dpkg -s libnvinfer10 | grep -Po "Version: \K.*") \
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&& echo $NVINFER_VER | grep -Po "^\d+\.\d+\.\d+" > /etc/TENSORRT_VER
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RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,target=/deps/build_python_tensorrt.sh \
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@ -41,11 +28,12 @@ RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,t
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&& TENSORRT_VER=$(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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ADD https://nvidia.box.com/shared/static/psl23iw3bh7hlgku0mjo1xekxpego3e3.whl /tmp/onnxruntime_gpu-1.15.1-cp311-cp311-linux_aarch64.whl
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# See https://elinux.org/Jetson_Zoo#ONNX_Runtime
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ADD https://nvidia.box.com/shared/static/6l0u97rj80ifwkk8rqbzj1try89fk26z.whl /tmp/onnxruntime_gpu-1.19.0-cp310-cp310-linux_aarch64.whl
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RUN pip3 uninstall -y onnxruntime-openvino \
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&& pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt \
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&& pip3 install --no-deps /tmp/onnxruntime_gpu-1.15.1-cp311-cp311-linux_aarch64.whl
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&& pip3 install --no-deps /tmp/onnxruntime_gpu-1.19.0-cp310-cp310-linux_aarch64.whl
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FROM build-wheels AS trt-model-wheels
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ARG DEBIAN_FRONTEND
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@ -67,7 +55,7 @@ RUN --mount=type=bind,source=docker/tensorrt/build_jetson_ffmpeg.sh,target=/deps
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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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&& apt-get install -y python-is-python3 libprotobuf23 \
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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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@ -11,7 +11,7 @@ FROM ${TRT_BASE} AS trt-deps
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ARG COMPUTE_LEVEL
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RUN apt-get update \
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&& apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \
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&& apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvonnxparsers-dev \
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&& rm -rf /var/lib/apt/lists/*
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RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
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/tensorrt_libyolo.sh
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@ -14,14 +14,27 @@ apt-get -qq install -y --no-install-recommends libx264-dev libx265-dev
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pushd /tmp
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# Install libnvmpi to enable nvmpi decoders (h264_nvmpi, hevc_nvmpi)
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if [ -e /usr/local/cuda-10.2 ]; then
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if [ -e /usr/local/cuda-12.6 ]; then
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# assume Jetpack 6.2
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apt-key adv --fetch-key https://repo.download.nvidia.com/jetson/jetson-ota-public.asc
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echo "deb https://repo.download.nvidia.com/jetson/common r36.4 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
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echo "deb https://repo.download.nvidia.com/jetson/t234 r36.4 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
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echo "deb https://repo.download.nvidia.com/jetson/ffmpeg r36.4 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
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mkdir -p /opt/nvidia/l4t-packages/
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touch /opt/nvidia/l4t-packages/.nv-l4t-disable-boot-fw-update-in-preinstall
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apt-get update
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apt-get -qq install -y --no-install-recommends -o Dpkg::Options::="--force-confold" nvidia-l4t-jetson-multimedia-api
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elif [ -e /usr/local/cuda-10.2 ]; then
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# assume Jetpack 4.X
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wget -q https://developer.nvidia.com/embedded/L4T/r32_Release_v5.0/T186/Jetson_Multimedia_API_R32.5.0_aarch64.tbz2 -O jetson_multimedia_api.tbz2
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tar xaf jetson_multimedia_api.tbz2 -C / && rm jetson_multimedia_api.tbz2
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else
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# assume Jetpack 5.X
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wget -q https://developer.nvidia.com/downloads/embedded/l4t/r35_release_v3.1/release/jetson_multimedia_api_r35.3.1_aarch64.tbz2 -O jetson_multimedia_api.tbz2
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fi
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tar xaf jetson_multimedia_api.tbz2 -C / && rm jetson_multimedia_api.tbz2
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fi
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wget -q https://github.com/AndBobsYourUncle/jetson-ffmpeg/archive/9c17b09.zip -O jetson-ffmpeg.zip
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unzip jetson-ffmpeg.zip && rm jetson-ffmpeg.zip && mv jetson-ffmpeg-* jetson-ffmpeg && cd jetson-ffmpeg
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@ -6,23 +6,10 @@ mkdir -p /trt-wheels
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if [[ "${TARGETARCH}" == "arm64" ]]; then
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# NVIDIA supplies python-tensorrt for python3.8, but frigate uses python3.9,
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# so we must build python-tensorrt ourselves.
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# Get python-tensorrt source
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mkdir /workspace
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cd /workspace
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git clone -b ${TENSORRT_VER} https://github.com/NVIDIA/TensorRT.git --depth=1
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# Collect dependencies
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EXT_PATH=/workspace/external && mkdir -p $EXT_PATH
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pip3 install pybind11 && ln -s /usr/local/lib/python3.9/dist-packages/pybind11 $EXT_PATH/pybind11
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ln -s /usr/include/python3.9 $EXT_PATH/python3.9
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ln -s /usr/include/aarch64-linux-gnu/NvOnnxParser.h /workspace/TensorRT/parsers/onnx/
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# Build wheel
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cd /workspace/TensorRT/python
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EXT_PATH=$EXT_PATH PYTHON_MAJOR_VERSION=3 PYTHON_MINOR_VERSION=9 TARGET_ARCHITECTURE=aarch64 /bin/bash ./build.sh
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mv build/dist/*.whl /trt-wheels/
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wget -q https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/tars/TensorRT-10.3.0.26.l4t.aarch64-gnu.cuda-12.6.tar.gz -O TensorRT.tar.gz
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tar -zxf TensorRT.tar.gz
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mv TensorRT-10.3.0.26/python/tensorrt-10.3.0-cp310-none-linux_aarch64.whl /trt-wheels/
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rm -rf TensorRT-10.3.0.26
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rm -rf TensorRT.tar.gz
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fi
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@ -7,6 +7,9 @@ SCRIPT_DIR="/usr/local/src/tensorrt_demos"
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# Clone tensorrt_demos repo
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git clone --depth 1 https://github.com/NateMeyer/tensorrt_demos.git -b conditional_download
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# remove -lnvparsers
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sed -i 's/-lnvparsers//g' ./tensorrt_demos/plugins/Makefile
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# Build libyolo
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if [ ! -e /usr/local/cuda ]; then
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ln -s /usr/local/cuda-* /usr/local/cuda
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@ -1 +1 @@
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cuda-python == 11.7; platform_machine == 'aarch64'
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cuda-python == 12.6.*; platform_machine == 'aarch64'
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@ -2,9 +2,11 @@ BOARDS += trt
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JETPACK4_BASE ?= timongentzsch/l4t-ubuntu20-opencv:latest # L4T 32.7.1 JetPack 4.6.1
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JETPACK5_BASE ?= nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime # L4T 35.3.1 JetPack 5.1.1
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JETPACK6_BASE ?= nvcr.io/nvidia/tensorrt:24.08-py3-igpu # L4T 36.4.3 JetPack 6.2
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X86_DGPU_ARGS := ARCH=amd64 COMPUTE_LEVEL="50 60 70 80 90"
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JETPACK4_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK4_BASE) SLIM_BASE=$(JETPACK4_BASE) TRT_BASE=$(JETPACK4_BASE)
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JETPACK5_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK5_BASE) SLIM_BASE=$(JETPACK5_BASE) TRT_BASE=$(JETPACK5_BASE)
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JETPACK6_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK6_BASE) SLIM_BASE=$(JETPACK6_BASE) TRT_BASE=$(JETPACK6_BASE)
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local-trt: version
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$(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
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@ -21,6 +23,11 @@ local-trt-jp5: version
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--set tensorrt.tags=frigate:latest-tensorrt-jp5 \
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--load
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local-trt-jp6: version
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$(JETPACK6_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
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--set tensorrt.tags=frigate:latest-tensorrt-jp6 \
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--load
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build-trt:
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$(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
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--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt
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