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docker.io/blakeblackshear/frigate:0.11.1
linux/arm docker.io 请确认架构匹配

Frigate是一个开源的网络视频录像机(NVR),具备实时对象检测功能,适用于家庭或小型场所的安防监控场景。它支持在本地设备上进行高效AI计算,可识别如人、车、动物等目标对象以减少误报,同时能与Home Assistant等智能家居平台集成,提供低延迟的视频流和事件通知服务。

326
浏览次数
1.41GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm
源镜像
docker.io/blakeblackshear/frigate:0.11.1
镜像ID
sha256:b333e972376d6ae3d549eb3405cbca7d3b969deda7ccc453bd0830c58736c9a7
镜像 TAG
0.11.1-linuxarm
镜像大小
1.41GB
平台架构
linux/arm
镜像源
docker.io
CMD
python3 -u -m frigate
启动入口
/init
工作目录
/opt/frigate/
OS/平台
linux/arm
镜像创建
2022-10-08T12:45:57.007368022Z
同步时间
2025-10-03 12:31
浏览量
326 次
贡献者
🔌 开放端口 2
1935/tcp 5000/tcp
⚙️ 环境变量 3
KeyValue
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/lib/btbn-ffmpeg/bin 0
NVIDIA_DRIVER_CAPABILITIES=compute,video,utility 1
FLASK_ENV=development 2

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm  docker.io/blakeblackshear/frigate:0.11.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm  docker.io/blakeblackshear/frigate:0.11.1

Shell快速替换命令

sed -i 's#blakeblackshear/frigate:0.11.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm  docker.io/blakeblackshear/frigate:0.11.1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/blakeblackshear/frigate:0.11.1-linuxarm  docker.io/blakeblackshear/frigate:0.11.1'

镜像构建历史


# 2022-10-08 20:45:57  0.00B 设置默认要执行的命令
CMD ["python3" "-u" "-m" "frigate"]
                        
# 2022-10-08 20:45:57  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/init"]
                        
# 2022-10-08 20:45:57  0.00B 声明容器运行时监听的端口
EXPOSE map[1935/tcp:{}]
                        
# 2022-10-08 20:45:57  0.00B 声明容器运行时监听的端口
EXPOSE map[5000/tcp:{}]
                        
# 2022-10-08 20:45:57  12.22MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=arm DEBIAN_FRONTEND=noninteractive APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn /bin/sh -c S6_ARCH="${TARGETARCH}"     && if [ "${TARGETARCH}" = "amd64" ]; then S6_ARCH="amd64"; fi     && if [ "${TARGETARCH}" = "arm" ]; then S6_ARCH="armhf"; fi     && if [ "${TARGETARCH}" = "arm64" ]; then S6_ARCH="aarch64"; fi     && wget -O /tmp/s6-overlay-installer "https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-${S6_ARCH}-installer"     && chmod +x /tmp/s6-overlay-installer && /tmp/s6-overlay-installer / # buildkit
                        
# 2022-10-08 20:45:55  7.89KB 复制新文件或目录到容器中
COPY docker/rootfs/ / # buildkit
                        
# 2022-10-08 20:45:55  1.03MB 复制新文件或目录到容器中
COPY web/dist web/ # buildkit
                        
# 2022-10-08 20:45:55  18.03KB 复制文件或目录到容器中
ADD migrations migrations/ # buildkit
                        
# 2022-10-08 20:45:55  470.29KB 复制文件或目录到容器中
ADD frigate frigate/ # buildkit
                        
# 2022-10-08 20:45:55  0.00B 设置工作目录为/opt/frigate/
WORKDIR /opt/frigate/
                        
# 2022-10-08 20:45:55  4.28MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=arm DEBIAN_FRONTEND=noninteractive APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn /bin/sh -c wget -q https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess.tflite -O /cpu_model.tflite # buildkit
                        
# 2022-10-08 20:45:53  5.37MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=arm DEBIAN_FRONTEND=noninteractive APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn /bin/sh -c wget -q https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite -O /edgetpu_model.tflite # buildkit
                        
# 2022-10-08 20:45:51  928.00B 复制新文件或目录到容器中
COPY labelmap.txt /labelmap.txt # buildkit
                        
# 2022-10-08 20:45:51  12.29MB 复制新文件或目录到容器中
COPY /usr/local/nginx/ /usr/local/nginx/ # buildkit
                        
# 2022-10-08 20:45:51  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/lib/btbn-ffmpeg/bin
                        
# 2022-10-08 20:45:51  1.19GB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=arm DEBIAN_FRONTEND=noninteractive APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn /bin/sh -c apt-get -qq update     && apt-get -qq install --no-install-recommends -y     apt-transport-https     gnupg     wget     unzip tzdata libxml2 xz-utils     python3-pip     && apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 9165938D90FDDD2E     && echo "deb http://raspbian.raspberrypi.org/raspbian/ bullseye main contrib non-free rpi" | tee /etc/apt/sources.list.d/raspi.list     && apt-key adv --fetch-keys https://packages.cloud.google.com/apt/doc/apt-key.gpg     && echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" > /etc/apt/sources.list.d/coral-edgetpu.list     && echo "libedgetpu1-max libedgetpu/accepted-eula select true" | debconf-set-selections     && sed -i -e's/ main/ main contrib non-free/g' /etc/apt/sources.list     && apt-get -qq update     && apt-get -qq install --no-install-recommends --no-install-suggests -y     libedgetpu1-max python3-tflite-runtime python3-pycoral     && pip3 install -U /wheels/*.whl     && if [ "${TARGETARCH}" = "amd64" ] || [ "${TARGETARCH}" = "arm64" ]; then     mkdir -p /usr/lib/btbn-ffmpeg     && wget -O btbn-ffmpeg.tar.xz "https://github.com/BtbN/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux$( [ "$TARGETARCH" = "amd64" ] && echo "64" || echo "arm64" )-gpl-5.1.tar.xz"     && tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/btbn-ffmpeg --strip-components 1     && rm btbn-ffmpeg.tar.xz;     fi     && if [ "${TARGETARCH}" = "arm" ]; then     apt-get -qq install --no-install-recommends --no-install-suggests -y ffmpeg;     fi     && if [ "${TARGETARCH}" = "amd64" ]; then     apt-get -qq install --no-install-recommends --no-install-suggests -y     mesa-va-drivers libva-drm2 intel-media-va-driver-non-free i965-va-driver libmfx1;     fi     && if [ "${TARGETARCH}" = "arm64" ]; then     apt-get -qq install --no-install-recommends --no-install-suggests -y     libva-drm2 mesa-va-drivers;     fi     && if [ "${TARGETARCH}" = "arm" ]; then     apt-get -qq install --no-install-recommends --no-install-suggests -y     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;     fi     && rm -rf /wheels     && apt-get remove gnupg apt-transport-https -y     && apt-get clean autoclean -y     && apt-get autoremove -y     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-08 20:34:55  128.92MB 复制新文件或目录到容器中
COPY /wheels /wheels # buildkit
                        
# 2022-10-08 20:34:55  0.00B 设置环境变量 FLASK_ENV
ENV FLASK_ENV=development
                        
# 2022-10-08 20:34:55  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,video,utility
                        
# 2022-10-08 20:34:55  0.00B 定义构建参数
ARG APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn
                        
# 2022-10-08 20:34:55  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2022-10-08 20:34:55  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-05 07:58:46  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-10-05 07:58:46  56.59MB 
/bin/sh -c #(nop) ADD file:ca1bf27f17594a91224a252bd446f97c3b898210c571f2f26fa2e723d2bf521e in / 
                        
                    

镜像信息

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    "Id": "sha256:b333e972376d6ae3d549eb3405cbca7d3b969deda7ccc453bd0830c58736c9a7",
    "RepoTags": [
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    ],
    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2022-10-08T12:45:57.007368022Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "1935/tcp": {},
            "5000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/lib/btbn-ffmpeg/bin",
            "NVIDIA_DRIVER_CAPABILITIES=compute,video,utility",
            "FLASK_ENV=development"
        ],
        "Cmd": [
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        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/opt/frigate/",
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        "Labels": null
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    "Architecture": "arm",
    "Variant": "v7",
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    "Size": 1406481658,
    "GraphDriver": {
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            "MergedDir": "/var/lib/docker/overlay2/fa8c6074d7ad84c1422ecc42a32078ffa2e485c7089ebf2134182645120e36ab/merged",
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}

更多版本

docker.io/blakeblackshear/frigate:0.11.1

linux/arm64 docker.io1.09GB2025-10-03 12:27
345

docker.io/blakeblackshear/frigate:0.11.1

linux/arm docker.io1.41GB2025-10-03 12:31
325
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