blakeblackshear.frigate/docker/main/Dockerfile

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# syntax=docker/dockerfile:1.6
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
ARG DEBIAN_FRONTEND=noninteractive
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ARG BASE_IMAGE=debian:12
ARG SLIM_BASE=debian:12-slim
FROM ${BASE_IMAGE} AS base
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FROM --platform=${BUILDPLATFORM} debian:12 AS base_host
FROM ${SLIM_BASE} 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/main/build_nginx.sh,target=/deps/build_nginx.sh \
--mount=type=cache,target=/root/.ccache \
/deps/build_nginx.sh
Use sqlite-vec extension instead of chromadb for embeddings (#14163) * swap sqlite_vec for chroma in requirements * load sqlite_vec in embeddings manager * remove chroma and revamp Embeddings class for sqlite_vec * manual minilm onnx inference * remove chroma in clip model * migrate api from chroma to sqlite_vec * migrate event cleanup from chroma to sqlite_vec * migrate embedding maintainer from chroma to sqlite_vec * genai description for sqlite_vec * load sqlite_vec in main thread db * extend the SqliteQueueDatabase class and use peewee db.execute_sql * search with Event type for similarity * fix similarity search * install and add comment about transformers * fix normalization * add id filter * clean up * clean up * fully remove chroma and add transformers env var * readd uvicorn for fastapi * readd tokenizer parallelism env var * remove chroma from docs * remove chroma from UI * try removing custom pysqlite3 build * hard code limit * optimize queries * revert explore query * fix query * keep building pysqlite3 * single pass fetch and process * remove unnecessary re-embed * update deps * move SqliteVecQueueDatabase to db directory * make search thumbnail take up full size of results box * improve typing * improve model downloading and add status screen * daemon downloading thread * catch case when semantic search is disabled * fix typing * build sqlite_vec from source * resolve conflict * file permissions * try build deps * remove sources * sources * fix thread start * include git in build * reorder embeddings after detectors are started * build with sqlite amalgamation * non-platform specific * use wget instead of curl * remove unzip -d * remove sqlite_vec from requirements and load the compiled version * fix build * avoid race in db connection * add scale_factor and bias to description zscore normalization
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FROM wget AS sqlite-vec
ARG DEBIAN_FRONTEND
# Build sqlite_vec from source
COPY docker/main/build_sqlite_vec.sh /deps/build_sqlite_vec.sh
RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
--mount=type=bind,source=docker/main/build_sqlite_vec.sh,target=/deps/build_sqlite_vec.sh \
--mount=type=cache,target=/root/.ccache \
/deps/build_sqlite_vec.sh
FROM scratch AS go2rtc
ARG TARGETARCH
WORKDIR /rootfs/usr/local/go2rtc/bin
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ADD --link --chmod=755 "https://github.com/AlexxIT/go2rtc/releases/download/v1.9.2/go2rtc_linux_${TARGETARCH}" go2rtc
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FROM wget AS tempio
ARG TARGETARCH
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RUN --mount=type=bind,source=docker/main/install_tempio.sh,target=/deps/install_tempio.sh \
/deps/install_tempio.sh
####
#
# OpenVino Support
#
# 1. Download and convert a model from Intel's Public Open Model Zoo
#
####
# Download and Convert OpenVino model
FROM base_host AS ov-converter
ARG DEBIAN_FRONTEND
# Install OpenVino Runtime and Dev library
COPY docker/main/requirements-ov.txt /requirements-ov.txt
RUN apt-get -qq update \
&& apt-get -qq install -y wget python3 python3-dev python3-distutils gcc pkg-config libhdf5-dev \
&& 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 --mount=type=bind,source=docker/main/build_ov_model.py,target=/build_ov_model.py \
mkdir /models && cd /models \
&& wget http://download.tensorflow.org/models/object_detection/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz \
&& tar -xvf ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz \
&& python3 /build_ov_model.py
####
#
# Coral Compatibility
#
# Builds libusb without udev. Needed for synology and other devices with USB coral
####
# 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 pkg-config
RUN --mount=type=cache,target=/root/.ccache wget -q https://github.com/libusb/libusb/archive/v1.0.26.zip -O v1.0.26.zip && \
unzip v1.0.26.zip && cd libusb-1.0.26 && \
./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-1.0.26/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-1.0.26/ && \
/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/ssdlite_mobilenet_v2.xml openvino-model/
COPY --from=ov-converter /models/ssdlite_mobilenet_v2.bin 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 - https://www.kaggle.com/api/v1/models/google/yamnet/tfLite/classification-tflite/1/download | tar xvz && mv 1.tflite cpu_audio_model.tflite
COPY audio-labelmap.txt .
FROM wget AS s6-overlay
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ARG TARGETARCH
RUN --mount=type=bind,source=docker/main/install_s6_overlay.sh,target=/deps/install_s6_overlay.sh \
/deps/install_s6_overlay.sh
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FROM base AS wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH
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# 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 \
&& apt-get -qq update \
&& apt-get -qq install -y \
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python3 \
python3-dev \
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# 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\
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libtbbmalloc2 libtbb-dev libdc1394-dev libopenexr-dev \
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libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
# sqlite3 dependencies
tclsh \
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# scipy dependencies
gcc gfortran libopenblas-dev liblapack-dev && \
rm -rf /var/lib/apt/lists/*
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RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip"
COPY docker/main/requirements.txt /requirements.txt
RUN pip3 install -r /requirements.txt
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Use sqlite-vec extension instead of chromadb for embeddings (#14163) * swap sqlite_vec for chroma in requirements * load sqlite_vec in embeddings manager * remove chroma and revamp Embeddings class for sqlite_vec * manual minilm onnx inference * remove chroma in clip model * migrate api from chroma to sqlite_vec * migrate event cleanup from chroma to sqlite_vec * migrate embedding maintainer from chroma to sqlite_vec * genai description for sqlite_vec * load sqlite_vec in main thread db * extend the SqliteQueueDatabase class and use peewee db.execute_sql * search with Event type for similarity * fix similarity search * install and add comment about transformers * fix normalization * add id filter * clean up * clean up * fully remove chroma and add transformers env var * readd uvicorn for fastapi * readd tokenizer parallelism env var * remove chroma from docs * remove chroma from UI * try removing custom pysqlite3 build * hard code limit * optimize queries * revert explore query * fix query * keep building pysqlite3 * single pass fetch and process * remove unnecessary re-embed * update deps * move SqliteVecQueueDatabase to db directory * make search thumbnail take up full size of results box * improve typing * improve model downloading and add status screen * daemon downloading thread * catch case when semantic search is disabled * fix typing * build sqlite_vec from source * resolve conflict * file permissions * try build deps * remove sources * sources * fix thread start * include git in build * reorder embeddings after detectors are started * build with sqlite amalgamation * non-platform specific * use wget instead of curl * remove unzip -d * remove sqlite_vec from requirements and load the compiled version * fix build * avoid race in db connection * add scale_factor and bias to description zscore normalization
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# Build pysqlite3 from source
COPY docker/main/build_pysqlite3.sh /build_pysqlite3.sh
RUN /build_pysqlite3.sh
COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
RUN pip3 wheel --wheel-dir=/wheels -r /requirements-wheels.txt
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# Collect deps in a single layer
FROM scratch AS deps-rootfs
COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
Use sqlite-vec extension instead of chromadb for embeddings (#14163) * swap sqlite_vec for chroma in requirements * load sqlite_vec in embeddings manager * remove chroma and revamp Embeddings class for sqlite_vec * manual minilm onnx inference * remove chroma in clip model * migrate api from chroma to sqlite_vec * migrate event cleanup from chroma to sqlite_vec * migrate embedding maintainer from chroma to sqlite_vec * genai description for sqlite_vec * load sqlite_vec in main thread db * extend the SqliteQueueDatabase class and use peewee db.execute_sql * search with Event type for similarity * fix similarity search * install and add comment about transformers * fix normalization * add id filter * clean up * clean up * fully remove chroma and add transformers env var * readd uvicorn for fastapi * readd tokenizer parallelism env var * remove chroma from docs * remove chroma from UI * try removing custom pysqlite3 build * hard code limit * optimize queries * revert explore query * fix query * keep building pysqlite3 * single pass fetch and process * remove unnecessary re-embed * update deps * move SqliteVecQueueDatabase to db directory * make search thumbnail take up full size of results box * improve typing * improve model downloading and add status screen * daemon downloading thread * catch case when semantic search is disabled * fix typing * build sqlite_vec from source * resolve conflict * file permissions * try build deps * remove sources * sources * fix thread start * include git in build * reorder embeddings after detectors are started * build with sqlite amalgamation * non-platform specific * use wget instead of curl * remove unzip -d * remove sqlite_vec from requirements and load the compiled version * fix build * avoid race in db connection * add scale_factor and bias to description zscore normalization
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COPY --from=sqlite-vec /usr/local/lib/ /usr/local/lib/
COPY --from=go2rtc /rootfs/ /
COPY --from=libusb-build /usr/local/lib /usr/local/lib
COPY --from=tempio /rootfs/ /
COPY --from=s6-overlay /rootfs/ /
COPY --from=models /rootfs/ /
COPY docker/main/rootfs/ /
# Frigate deps (ffmpeg, python, nginx, go2rtc, s6-overlay, etc)
FROM slim-base AS deps
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ARG TARGETARCH
ARG DEBIAN_FRONTEND
# http://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"
# Disable tokenizer parallelism warning
Use sqlite-vec extension instead of chromadb for embeddings (#14163) * swap sqlite_vec for chroma in requirements * load sqlite_vec in embeddings manager * remove chroma and revamp Embeddings class for sqlite_vec * manual minilm onnx inference * remove chroma in clip model * migrate api from chroma to sqlite_vec * migrate event cleanup from chroma to sqlite_vec * migrate embedding maintainer from chroma to sqlite_vec * genai description for sqlite_vec * load sqlite_vec in main thread db * extend the SqliteQueueDatabase class and use peewee db.execute_sql * search with Event type for similarity * fix similarity search * install and add comment about transformers * fix normalization * add id filter * clean up * clean up * fully remove chroma and add transformers env var * readd uvicorn for fastapi * readd tokenizer parallelism env var * remove chroma from docs * remove chroma from UI * try removing custom pysqlite3 build * hard code limit * optimize queries * revert explore query * fix query * keep building pysqlite3 * single pass fetch and process * remove unnecessary re-embed * update deps * move SqliteVecQueueDatabase to db directory * make search thumbnail take up full size of results box * improve typing * improve model downloading and add status screen * daemon downloading thread * catch case when semantic search is disabled * fix typing * build sqlite_vec from source * resolve conflict * file permissions * try build deps * remove sources * sources * fix thread start * include git in build * reorder embeddings after detectors are started * build with sqlite amalgamation * non-platform specific * use wget instead of curl * remove unzip -d * remove sqlite_vec from requirements and load the compiled version * fix build * avoid race in db connection * add scale_factor and bias to description zscore normalization
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# https://stackoverflow.com/questions/62691279/how-to-disable-tokenizers-parallelism-true-false-warning/72926996#72926996
ENV TOKENIZERS_PARALLELISM=true
Use sqlite-vec extension instead of chromadb for embeddings (#14163) * swap sqlite_vec for chroma in requirements * load sqlite_vec in embeddings manager * remove chroma and revamp Embeddings class for sqlite_vec * manual minilm onnx inference * remove chroma in clip model * migrate api from chroma to sqlite_vec * migrate event cleanup from chroma to sqlite_vec * migrate embedding maintainer from chroma to sqlite_vec * genai description for sqlite_vec * load sqlite_vec in main thread db * extend the SqliteQueueDatabase class and use peewee db.execute_sql * search with Event type for similarity * fix similarity search * install and add comment about transformers * fix normalization * add id filter * clean up * clean up * fully remove chroma and add transformers env var * readd uvicorn for fastapi * readd tokenizer parallelism env var * remove chroma from docs * remove chroma from UI * try removing custom pysqlite3 build * hard code limit * optimize queries * revert explore query * fix query * keep building pysqlite3 * single pass fetch and process * remove unnecessary re-embed * update deps * move SqliteVecQueueDatabase to db directory * make search thumbnail take up full size of results box * improve typing * improve model downloading and add status screen * daemon downloading thread * catch case when semantic search is disabled * fix typing * build sqlite_vec from source * resolve conflict * file permissions * try build deps * remove sources * sources * fix thread start * include git in build * reorder embeddings after detectors are started * build with sqlite amalgamation * non-platform specific * use wget instead of curl * remove unzip -d * remove sqlite_vec from requirements and load the compiled version * fix build * avoid race in db connection * add scale_factor and bias to description zscore normalization
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# https://github.com/huggingface/transformers/issues/27214
ENV TRANSFORMERS_NO_ADVISORY_WARNINGS=1
# Set OpenCV ffmpeg loglevel to fatal: https://ffmpeg.org/doxygen/trunk/log_8h.html
ENV OPENCV_FFMPEG_LOGLEVEL=8
ENV PATH="/usr/local/go2rtc/bin:/usr/local/tempio/bin:/usr/local/nginx/sbin:${PATH}"
ENV LIBAVFORMAT_VERSION_MAJOR=60
# Install dependencies
RUN --mount=type=bind,source=docker/main/install_deps.sh,target=/deps/install_deps.sh \
/deps/install_deps.sh
Add go2rtc and add restream role / live source (#4082) * Pull go2rtc dependency * Add go2rtc to local services and add to s6 * Add relay controller for go2rtc * Add restream role * Add restream role * Add restream to nginx * Add camera live source config * Disable RTMP by default and use restream * Use go2rtc for camera config * Fix go2rtc move * Start restream on frigate start * Send restream to camera level * Fix restream * Make sure jsmpeg works as expected * Make view rspect live size config * Tweak player options to fit live view * Adjust VideoPlayer to accept live option which disables irrelevant controls * Add multiple options from restream live view * Add base for webrtc option * Setup specific restream modules * Make mp4 the default streaming for now * Expose 8554 for rtsp relay from go2rtc * Formatting * Update docs to suggest new restream method. * Update docs to reflect restream role * Update docs to reflect restream role * Add webrtc player * Improvements to webRTC * Support webrtc * Cleanup * Adjust rtmp test and add restream test * Fix tests * Add restream tests * Add live view docs and show different options * Small docs tweak * Support all stream types * Update to beta 9 of go2rtc * Formatting * Make jsmpeg the default * Support wss if made from https * Support wss if made from https * Use onEffect * Set url outside onEffect * Fix passed deps * Update docs about required host mode * Try memo instead * Close websocket on changing camera * Formatting * Close pc connection * Set video source to null on cleanup * Use full path since go2rtc can't see PATH var * Adjust audio codec to enable browser audio by default * Cleanup stream creation * Add restream tests * Format tests * Mock requests * Adjust paths * Move stream configs to restream * Remove live source * Remove live config * Use live persistence for which view to use on each camera * Fix live sizes * Only use jsmpeg sizes for jsmpeg live * Set max live size * Remove access of live config * Add selector for live view source in web view * Remove RTMP from default list of roles * Update docs * Fix tests * Fix docs for live view modes * make default undefined to avoid race condition * Wait until camera source is loaded to avoid race condition * Fix tests * Add config to go2rtc * Work with config * Set full path for config * Set to use stun * Check for mounted file * Look for frigate-go2rtc * Update docs to reflect webRTC configuration. * Add link to go2rtc config * Update docs to be more clear * Update docs to be more clear * Update format Co-authored-by: Felipe Santos <felipecassiors@gmail.com> * Update live docs * Improve bash startup script * Add option to force audio compatibility * Formatting * Fix mapping * Fix broken link * Update go2rtc version * Get go2rtc webui working * Add support for mse * Remove mp4 option * Undo changes to video player * Update docs for new live view options * Make separate path for mse * Remove unused * Remove mp4 path * Try to get go2rtc proxy working * Try to get go2rtc proxy working * Remove unused callback * Allow websocket on restrea dashboard * Make mse default stream option * Fix mse sizing * don't assume roles is defined * Remove nginx mapping to go2rtc ui Co-authored-by: Felipe Santos <felipecassiors@gmail.com> Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
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RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
python3 -m pip install --upgrade pip && \
pip3 install -U /deps/wheels/*.whl
COPY --from=deps-rootfs / /
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RUN ldconfig
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EXPOSE 5000
Add go2rtc and add restream role / live source (#4082) * Pull go2rtc dependency * Add go2rtc to local services and add to s6 * Add relay controller for go2rtc * Add restream role * Add restream role * Add restream to nginx * Add camera live source config * Disable RTMP by default and use restream * Use go2rtc for camera config * Fix go2rtc move * Start restream on frigate start * Send restream to camera level * Fix restream * Make sure jsmpeg works as expected * Make view rspect live size config * Tweak player options to fit live view * Adjust VideoPlayer to accept live option which disables irrelevant controls * Add multiple options from restream live view * Add base for webrtc option * Setup specific restream modules * Make mp4 the default streaming for now * Expose 8554 for rtsp relay from go2rtc * Formatting * Update docs to suggest new restream method. * Update docs to reflect restream role * Update docs to reflect restream role * Add webrtc player * Improvements to webRTC * Support webrtc * Cleanup * Adjust rtmp test and add restream test * Fix tests * Add restream tests * Add live view docs and show different options * Small docs tweak * Support all stream types * Update to beta 9 of go2rtc * Formatting * Make jsmpeg the default * Support wss if made from https * Support wss if made from https * Use onEffect * Set url outside onEffect * Fix passed deps * Update docs about required host mode * Try memo instead * Close websocket on changing camera * Formatting * Close pc connection * Set video source to null on cleanup * Use full path since go2rtc can't see PATH var * Adjust audio codec to enable browser audio by default * Cleanup stream creation * Add restream tests * Format tests * Mock requests * Adjust paths * Move stream configs to restream * Remove live source * Remove live config * Use live persistence for which view to use on each camera * Fix live sizes * Only use jsmpeg sizes for jsmpeg live * Set max live size * Remove access of live config * Add selector for live view source in web view * Remove RTMP from default list of roles * Update docs * Fix tests * Fix docs for live view modes * make default undefined to avoid race condition * Wait until camera source is loaded to avoid race condition * Fix tests * Add config to go2rtc * Work with config * Set full path for config * Set to use stun * Check for mounted file * Look for frigate-go2rtc * Update docs to reflect webRTC configuration. * Add link to go2rtc config * Update docs to be more clear * Update docs to be more clear * Update format Co-authored-by: Felipe Santos <felipecassiors@gmail.com> * Update live docs * Improve bash startup script * Add option to force audio compatibility * Formatting * Fix mapping * Fix broken link * Update go2rtc version * Get go2rtc webui working * Add support for mse * Remove mp4 option * Undo changes to video player * Update docs for new live view options * Make separate path for mse * Remove unused * Remove mp4 path * Try to get go2rtc proxy working * Try to get go2rtc proxy working * Remove unused callback * Allow websocket on restrea dashboard * Make mse default stream option * Fix mse sizing * don't assume roles is defined * Remove nginx mapping to go2rtc ui Co-authored-by: Felipe Santos <felipecassiors@gmail.com> Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
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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"
AMD GPU support with the rocm detector and YOLOv8 pretrained model download (#9762) * ROCm AMD/GPU based build and detector, WIP * detectors/rocm: separate yolov8 postprocessing into own function; fix box scaling; use cv2.dnn.blobForImage for preprocessing; assert on required model parameters * AMD/ROCm: add couple of more ultralytics models; comments * docker/rocm: make imported model files readable by all * docker/rocm: readme about running on AMD GPUs * docker/rocm: updated README * docker/rocm: updated README * docker/rocm: updated README * detectors/rocm: separated preprocessing functions into yolo_utils.py * detector/plugins: added onnx cpu plugin * docker/rocm: updated container with limite label sets * example detectors view * docker/rocm: updated README.md * docker/rocm: update README.md * docker/rocm: do not set HSA_OVERRIDE_GFX_VERSION at all for the general version as the empty value broke rocm * detectors: simplified/optimized yolov8_postprocess * detector/yolo_utils: indentation, remove unused variable * detectors/rocm: default option to conserve cpu usage at the expense of latency * detectors/yolo_utils: use nms to prefilter overlapping boxes if too many detected * detectors/edgetpu_tfl: add support for yolov8 * util/download_models: script to download yolov8 model files * docker/main: add download-models overlay into s6 startup * detectors/rocm: assume models are in /config/model_cache/yolov8/ * docker/rocm: compile onnx files into mxr files at startup * switch model download into bash script * detectors/rocm: automatically override HSA_OVERRIDE_GFX_VERSION for couple of known chipsets * docs: rocm detector first notes * typos * describe builds (harakas temporary) * docker/rocm: also build a version for gfx1100 * docker/rocm: use cp instead of tar * docker.rocm: remove README as it is now in detector config * frigate/detectors: renamed yolov8_preprocess->preprocess, pass input tensor element type * docker/main: use newer openvino (2023.3.0) * detectors: implement class aggregation * update yolov8 model * add openvino/yolov8 support for label aggregation * docker: remove pointless s6/timeout-up files * Revert "detectors: implement class aggregation" This reverts commit dcfe6bbf6fc6fbb90c61288c7ecf1439ba2b96b4. * detectors/openvino: remove class aggregation * detectors: increase yolov8 postprocessing score trershold to 0.5 * docker/rocm: separate rocm distributed files into its own build stage * Update object_detectors.md * updated CODEOWNERS file for rocm * updated build names for documentation * Revert "docker/main: use newer openvino (2023.3.0)" This reverts commit dee95de908b31393b718191f5c4b5ab6793cbba4. * reverrted openvino detector * reverted edgetpu detector * scratched rocm docs from any mention of edgetpu or openvino * Update docs/docs/configuration/object_detectors.md Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com> * renamed frigate.detectors.yolo_utils.py -> frigate.detectors.util.py * clarified rocm example performance * Improved wording and clarified text * Mentioned rocm detector for AMD GPUs * applied ruff formating * applied ruff suggested fixes * docker/rocm: fix missing argument resulting in larger docker image sizes * docs/configuration/object_detectors: fix links to yolov8 release files --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
2024-02-10 13:41:46 +01:00
# Do not fail on long-running download scripts
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
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ENTRYPOINT ["/init"]
CMD []
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HEALTHCHECK --start-period=300s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
# 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/main/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 20
RUN curl -SLO https://deb.nodesource.com/nsolid_setup_deb.sh && \
chmod 500 nsolid_setup_deb.sh && \
./nsolid_setup_deb.sh 20 && \
apt-get install nodejs -y \
&& rm -rf /var/lib/apt/lists/* \
&& npm install -g npm@10
WORKDIR /workspace/frigate
RUN apt-get update \
&& apt-get install make -y \
&& rm -rf /var/lib/apt/lists/*
RUN --mount=type=bind,source=./docker/main/requirements-dev.txt,target=/workspace/frigate/requirements-dev.txt \
pip3 install -r requirements-dev.txt
HEALTHCHECK NONE
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:20 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 / /