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Dockerfile
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# syntax=docker/dockerfile:1.2
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
ARG DEBIAN_FRONTEND=noninteractive
FROM debian:11 AS base
FROM --platform=linux/amd64 debian:11 AS base_amd64
FROM debian:11-slim AS slim-base
FROM slim-base AS wget
ARG DEBIAN_FRONTEND
RUN apt-get update \
&& apt-get install -y wget xz-utils \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /rootfs
FROM base AS nginx
ARG DEBIAN_FRONTEND
ENV CCACHE_DIR /root/.ccache
ENV CCACHE_MAXSIZE 2G
# bind /var/cache/apt to tmpfs to speed up nginx build
RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
--mount=type=bind,source=docker/build_nginx.sh,target=/deps/build_nginx.sh \
--mount=type=cache,target=/root/.ccache \
/deps/build_nginx.sh
FROM wget AS go2rtc
ARG TARGETARCH
WORKDIR /rootfs/usr/local/go2rtc/bin
RUN wget -qO go2rtc "https://github.com/AlexxIT/go2rtc/releases/download/v1.6.0/go2rtc_linux_${TARGETARCH}" \
&& chmod +x go2rtc
####
#
# OpenVino Support
#
# 1. Download and convert a model from Intel's Public Open Model Zoo
# 2. Build libUSB without udev to handle NCS2 enumeration
#
####
# Download and Convert OpenVino model
FROM base_amd64 AS ov-converter
ARG DEBIAN_FRONTEND
# Install OpenVino Runtime and Dev library
COPY requirements-ov.txt /requirements-ov.txt
RUN apt-get -qq update \
&& apt-get -qq install -y wget python3 python3-distutils \
&& wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip" \
&& pip install -r /requirements-ov.txt
# Get OpenVino Model
RUN mkdir /models \
&& cd /models && omz_downloader --name ssdlite_mobilenet_v2 \
&& cd /models && omz_converter --name ssdlite_mobilenet_v2 --precision FP16
# libUSB - No Udev
FROM wget as libusb-build
ARG TARGETARCH
ARG DEBIAN_FRONTEND
ENV CCACHE_DIR /root/.ccache
ENV CCACHE_MAXSIZE 2G
# Build libUSB without udev. Needed for Openvino NCS2 support
WORKDIR /opt
RUN apt-get update && apt-get install -y unzip build-essential automake libtool ccache
RUN --mount=type=cache,target=/root/.ccache wget -q https://github.com/libusb/libusb/archive/v1.0.25.zip -O v1.0.25.zip && \
unzip v1.0.25.zip && cd libusb-1.0.25 && \
./bootstrap.sh && \
./configure CC='ccache gcc' CCX='ccache g++' --disable-udev --enable-shared && \
make -j $(nproc --all)
RUN apt-get update && \
apt-get install -y --no-install-recommends libusb-1.0-0-dev && \
rm -rf /var/lib/apt/lists/*
WORKDIR /opt/libusb-1.0.25/libusb
RUN /bin/mkdir -p '/usr/local/lib' && \
/bin/bash ../libtool --mode=install /usr/bin/install -c libusb-1.0.la '/usr/local/lib' && \
/bin/mkdir -p '/usr/local/include/libusb-1.0' && \
/usr/bin/install -c -m 644 libusb.h '/usr/local/include/libusb-1.0' && \
/bin/mkdir -p '/usr/local/lib/pkgconfig' && \
cd /opt/libusb-1.0.25/ && \
/usr/bin/install -c -m 644 libusb-1.0.pc '/usr/local/lib/pkgconfig' && \
ldconfig
FROM wget AS models
# Get model and labels
RUN wget -qO edgetpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite
RUN wget -qO cpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess.tflite
COPY labelmap.txt .
# Copy OpenVino model
COPY --from=ov-converter /models/public/ssdlite_mobilenet_v2/FP16 openvino-model
RUN wget -q https://github.com/openvinotoolkit/open_model_zoo/raw/master/data/dataset_classes/coco_91cl_bkgr.txt -O openvino-model/coco_91cl_bkgr.txt && \
sed -i 's/truck/car/g' openvino-model/coco_91cl_bkgr.txt
# Get Audio Model and labels
RUN wget -qO cpu_audio_model.tflite https://tfhub.dev/google/lite-model/yamnet/classification/tflite/1?lite-format=tflite
COPY audio-labelmap.txt .
FROM wget AS s6-overlay
ARG TARGETARCH
RUN --mount=type=bind,source=docker/install_s6_overlay.sh,target=/deps/install_s6_overlay.sh \
/deps/install_s6_overlay.sh
FROM base AS wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH
# Use a separate container to build wheels to prevent build dependencies in final image
RUN apt-get -qq update \
&& apt-get -qq install -y \
apt-transport-https \
gnupg \
wget \
&& apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 9165938D90FDDD2E \
&& echo "deb http:https://raspbian.raspberrypi.org/raspbian/ bullseye main contrib non-free rpi" | tee /etc/apt/sources.list.d/raspi.list \
&& apt-get -qq update \
&& apt-get -qq install -y \
python3 \
python3-dev \
wget \
# opencv dependencies
build-essential cmake git pkg-config libgtk-3-dev \
libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
gfortran openexr libatlas-base-dev libssl-dev\
libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
# scipy dependencies
gcc gfortran libopenblas-dev liblapack-dev && \
rm -rf /var/lib/apt/lists/*
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip"
COPY requirements.txt /requirements.txt
RUN pip3 install -r requirements.txt
COPY requirements-wheels.txt /requirements-wheels.txt
RUN pip3 wheel --wheel-dir=/wheels -r requirements-wheels.txt
# Make this a separate target so it can be built/cached optionally
FROM wheels as trt-wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH
# Add TensorRT wheels to another folder
COPY requirements-tensorrt.txt /requirements-tensorrt.txt
RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r requirements-tensorrt.txt
# Collect deps in a single layer
FROM scratch AS deps-rootfs
COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
COPY --from=go2rtc /rootfs/ /
COPY --from=libusb-build /usr/local/lib /usr/local/lib
COPY --from=s6-overlay /rootfs/ /
COPY --from=models /rootfs/ /
COPY docker/rootfs/ /
# Frigate deps (ffmpeg, python, nginx, go2rtc, s6-overlay, etc)
FROM slim-base AS deps
ARG TARGETARCH
ARG DEBIAN_FRONTEND
# http:https://stackoverflow.com/questions/48162574/ddg#49462622
ARG APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn
# https://github.com/NVIDIA/nvidia-docker/wiki/Installation-(Native-GPU-Support)
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES="compute,video,utility"
ENV PATH="/usr/lib/btbn-ffmpeg/bin:/usr/local/go2rtc/bin:/usr/local/nginx/sbin:${PATH}"
# Install dependencies
RUN --mount=type=bind,source=docker/install_deps.sh,target=/deps/install_deps.sh \
/deps/install_deps.sh
RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
pip3 install -U /deps/wheels/*.whl
COPY --from=deps-rootfs / /
RUN ldconfig
EXPOSE 5000
EXPOSE 1935
EXPOSE 8554
EXPOSE 8555/tcp 8555/udp
# Configure logging to prepend timestamps, log to stdout, keep 0 archives and rotate on 10MB
ENV S6_LOGGING_SCRIPT="T 1 n0 s10000000 T"
ENTRYPOINT ["/init"]
CMD []
# Frigate deps with Node.js and NPM for devcontainer
FROM deps AS devcontainer
# Do not start the actual Frigate service on devcontainer as it will be started by VSCode
# But start a fake service for simulating the logs
COPY docker/fake_frigate_run /etc/s6-overlay/s6-rc.d/frigate/run
# Create symbolic link to the frigate source code, as go2rtc's create_config.sh uses it
RUN mkdir -p /opt/frigate \
&& ln -svf /workspace/frigate/frigate /opt/frigate/frigate
# Install Node 16
RUN apt-get update \
&& apt-get install wget -y \
&& wget -qO- https://deb.nodesource.com/setup_16.x | bash - \
&& apt-get install -y nodejs \
&& rm -rf /var/lib/apt/lists/* \
&& npm install -g npm@9
WORKDIR /workspace/frigate
RUN apt-get update \
&& apt-get install make -y \
&& rm -rf /var/lib/apt/lists/*
RUN --mount=type=bind,source=./requirements-dev.txt,target=/workspace/frigate/requirements-dev.txt \
pip3 install -r requirements-dev.txt
CMD ["sleep", "infinity"]
# Frigate web build
# This should be architecture agnostic, so speed up the build on multiarch by not using QEMU.
FROM --platform=$BUILDPLATFORM node:16 AS web-build
WORKDIR /work
COPY web/package.json web/package-lock.json ./
RUN npm install
COPY web/ ./
RUN npm run build \
&& mv dist/BASE_PATH/monacoeditorwork/* dist/assets/ \
&& rm -rf dist/BASE_PATH
# Collect final files in a single layer
FROM scratch AS rootfs
WORKDIR /opt/frigate/
COPY frigate frigate/
COPY migrations migrations/
COPY --from=web-build /work/dist/ web/
# Frigate final container
FROM deps AS frigate
WORKDIR /opt/frigate/
COPY --from=rootfs / /
# Build TensorRT-specific library
FROM nvcr.io/nvidia/tensorrt:23.03-py3 AS trt-deps
RUN --mount=type=bind,source=docker/support/tensorrt_detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
/tensorrt_libyolo.sh
# Frigate w/ TensorRT Support as separate image
FROM frigate AS frigate-tensorrt
#Disable S6 Global timeout
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
ENV TRT_VER=8.5.3
ENV YOLO_MODELS="yolov7-tiny-416"
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
COPY docker/support/tensorrt_detector/rootfs/ /
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
pip3 install -U /deps/trt-wheels/*.whl && \
ldconfig
# Dev Container w/ TRT
FROM devcontainer AS devcontainer-trt
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
COPY docker/support/tensorrt_detector/rootfs/ /
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
pip3 install -U /deps/trt-wheels/*.whl