docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu linux/amd64

docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu - 国内下载镜像源 浏览次数:51
  1. 镜像名称:docker.io/exadel/compreface-core
  2. 作者:ExadeL
  3. 描述:Compreface Core 是一款前端开发框架,提供了各种功能和工具来帮助开发人员创建高性能、可维护的 web 应用。
如果需要更多信息,可以执行如下命令: ```bash docker inspect docker.io/exadel/compreface-core ``` 该命令可以获取镜像的详细描述信息。
源镜像 docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu
镜像ID sha256:910bd7bf72e4b46a32f77c56123d5ff2a00071a8a521d20fd2870098bbd94d31
镜像TAG 1.2.0-mobilenet-gpu
大小 6.67GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD uwsgi --ini uwsgi.ini
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app/ml
OS/平台 linux/amd64
浏览量 51 次
贡献者 44******6@qq.com
镜像创建 2023-08-15T08:05:18.144014265Z
同步时间 2024-11-04 13:15
更新时间 2024-12-22 05:33
开放端口
3000/tcp
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 NV_CUDA_CUDART_VERSION=11.8.89-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 CUDA_VERSION=11.8.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.8.0-1 NV_NVTX_VERSION=11.8.86-1 NV_LIBNPP_VERSION=11.8.0.86-1 NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1 NV_LIBCUSPARSE_VERSION=11.7.5.86-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8 NV_LIBCUBLAS_VERSION=11.11.3.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1 NCCL_VERSION=2.16.2-1 NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=8.9.0.131 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda11.8 DEBIAN_FRONTEND=noninteractive CUDA=11.8 LANG=C.UTF-8 TF_FORCE_GPU_ALLOW_GROWTH=true MXNET_CPU_WORKER_NTHREADS=24 MXNET_ENGINE_TYPE=ThreadedEnginePerDevice MXNET_CUDNN_AUTOTUNE_DEFAULT=0 SKIP_TESTS=1 BE_VERSION= APP_VERSION_STRING= HOME=/app/ml LC_ALL=C.UTF-8 PYTHONUNBUFFERED=0 JOBLIB_MULTIPROCESSING=0 GPU_IDX=0 INTEL_OPTIMIZATION=false FACE_DETECTION_PLUGIN=insightface.FaceDetector@retinaface_mnet025_v1 CALCULATION_PLUGIN=insightface.Calculator@arcface_mobilefacenet EXTRA_PLUGINS=insightface.LandmarksDetector,insightface.GenderDetector,insightface.AgeDetector,insightface.facemask.MaskDetector,insightface.PoseEstimator
镜像标签
8.9.0.131: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 20.04 扫描引擎: Trivy 扫描时间: 2024-11-04 13:16

低危漏洞:281 中危漏洞:2341 高危漏洞:67 严重漏洞:2

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu  docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu  docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu

Shell快速替换命令

sed -i 's#exadel/compreface-core:1.2.0-mobilenet-gpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu#' 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/exadel/compreface-core:1.2.0-mobilenet-gpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu  docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu  docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu'

镜像历史

大小 创建时间 层信息
0.00B 2023-08-15 16:05:18 CMD ["uwsgi" "--ini" "uwsgi.ini"]
179.00B 2023-08-15 16:05:18 COPY uwsgi.ini . # buildkit
0.00B 2023-08-15 16:05:18 EXPOSE map[3000/tcp:{}]
0.00B 2023-08-15 16:05:18 RUN |8 BE_VERSION= APP_VERSION_STRING= INTEL_OPTIMIZATION=false GPU_IDX=0 FACE_DETECTION_PLUGIN=insightface.FaceDetector@retinaface_mnet025_v1 CALCULATION_PLUGIN=insightface.Calculator@arcface_mobilefacenet EXTRA_PLUGINS=insightface.LandmarksDetector,insightface.GenderDetector,insightface.AgeDetector,insightface.facemask.MaskDetector,insightface.PoseEstimator SKIP_TESTS=1 /bin/bash -c if [ -z $SKIP_TESTS ]; then pytest -m "not performance" /app/ml/src; fi # buildkit
252.00B 2023-08-15 16:05:17 COPY pytest.ini . # buildkit
0.00B 2023-08-15 16:05:17 ARG SKIP_TESTS
9.76MB 2023-08-15 16:05:17 COPY sample_images sample_images # buildkit
27.80KB 2023-08-15 16:05:17 COPY tools tools # buildkit
964.34MB 2023-08-15 16:05:17 RUN |7 BE_VERSION= APP_VERSION_STRING= INTEL_OPTIMIZATION=false GPU_IDX=0 FACE_DETECTION_PLUGIN=insightface.FaceDetector@retinaface_mnet025_v1 CALCULATION_PLUGIN=insightface.Calculator@arcface_mobilefacenet EXTRA_PLUGINS=insightface.LandmarksDetector,insightface.GenderDetector,insightface.AgeDetector,insightface.facemask.MaskDetector,insightface.PoseEstimator /bin/bash -c python -m src.services.facescan.plugins.setup # buildkit
3.04MB 2023-08-15 16:03:40 COPY srcext srcext # buildkit
980.96KB 2023-08-15 16:03:40 COPY src src # buildkit
0.00B 2023-08-15 16:03:40 ENV FACE_DETECTION_PLUGIN=insightface.FaceDetector@retinaface_mnet025_v1 CALCULATION_PLUGIN=insightface.Calculator@arcface_mobilefacenet EXTRA_PLUGINS=insightface.LandmarksDetector,insightface.GenderDetector,insightface.AgeDetector,insightface.facemask.MaskDetector,insightface.PoseEstimator
0.00B 2023-08-15 16:03:40 ARG EXTRA_PLUGINS=facenet.LandmarksDetector,agegender.AgeDetector,agegender.GenderDetector,facenet.facemask.MaskDetector,facenet.PoseEstimator
0.00B 2023-08-15 16:03:40 ARG CALCULATION_PLUGIN=facenet.Calculator
0.00B 2023-08-15 16:03:40 ARG FACE_DETECTION_PLUGIN=facenet.FaceDetector
0.00B 2023-08-15 16:03:40 ENV GPU_IDX=0 INTEL_OPTIMIZATION=false
0.00B 2023-08-15 16:03:40 ARG GPU_IDX=-1
0.00B 2023-08-15 16:03:40 ARG INTEL_OPTIMIZATION=false
0.00B 2023-08-15 16:03:40 ENV JOBLIB_MULTIPROCESSING=0
0.00B 2023-08-15 16:03:40 ENV PYTHONUNBUFFERED=0
0.00B 2023-08-15 16:03:40 ENV LANG=C.UTF-8
0.00B 2023-08-15 16:03:40 ENV LC_ALL=C.UTF-8
0.00B 2023-08-15 16:03:40 ENV HOME=/app/ml
0.00B 2023-08-15 16:03:40 ENV APP_VERSION_STRING=
0.00B 2023-08-15 16:03:40 ENV BE_VERSION=
0.00B 2023-08-15 16:03:40 ARG APP_VERSION_STRING
0.00B 2023-08-15 16:03:40 ARG BE_VERSION
475.14MB 2023-08-15 16:03:40 RUN /bin/bash -c pip --no-cache-dir install -r requirements.txt # buildkit
57.48MB 2023-08-15 16:03:00 RUN /bin/bash -c pip --no-cache-dir install $(grep ^numpy requirements.txt) # buildkit
585.00B 2023-08-15 16:02:56 COPY requirements.txt . # buildkit
0.00B 2023-08-15 16:02:56 WORKDIR /app/ml
0.00B 2023-08-15 16:02:56 SHELL [/bin/bash -c]
511.08KB 2023-08-15 16:02:56 RUN /bin/sh -c git clone --depth=1 -b 0.5.5 https://github.com/LLNL/zfp && cd zfp && mkdir build && cd build && cmake -DCMAKE_BUILD_TYPE=Release .. && make -j$(nproc) install && rm -rf /tmp/zfp # buildkit
34.70MB 2023-08-15 16:02:44 RUN /bin/sh -c git clone --depth=1 --shallow-submodules --recursive -b v0.7.0 https://github.com/libjxl/libjxl && cd libjxl && cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTING=OFF . && make -j$(nproc) install && rm -rf /tmp/libjxl # buildkit
1.34MB 2023-08-15 15:57:07 RUN /bin/sh -c git clone --depth=1 --shallow-submodules --recursive -b v0.1 https://github.com/google/brunsli && cd brunsli && cmake -DCMAKE_BUILD_TYPE=Release . && make -j$(nproc) install && rm -rf /tmp/brunsli # buildkit
0.00B 2023-08-15 15:56:37 WORKDIR /tmp
928.37MB 2023-08-15 15:56:37 RUN /bin/sh -c apt-get update && apt-get install -y build-essential cmake git wget unzip curl yasm pkg-config libswscale-dev libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libavformat-dev libpq-dev libfreeimage3 python3-opencv libaec-dev libblosc-dev libbrotli-dev libbz2-dev libgif-dev libopenjp2-7-dev liblcms2-dev libcharls-dev libjxr-dev liblz4-dev libcfitsio-dev libpcre3 libpcre3-dev libsnappy-dev libwebp-dev libzopfli-dev libzstd-dev && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-08-15 15:45:27 ENV SKIP_TESTS=1
0.00B 2023-08-15 15:45:27 ENV MXNET_ENGINE_TYPE=ThreadedEnginePerDevice MXNET_CUDNN_AUTOTUNE_DEFAULT=0
0.00B 2023-08-15 15:45:27 ENV MXNET_CPU_WORKER_NTHREADS=24
0.00B 2023-08-15 15:45:27 ENV TF_FORCE_GPU_ALLOW_GROWTH=true
16.00B 2023-08-15 15:45:27 RUN /bin/sh -c ln -s $(which python3) /usr/local/bin/python # buildkit
0.00B 2023-08-15 15:45:27 RUN /bin/sh -c python3 -m pip --no-cache-dir install --upgrade pip setuptools # buildkit
22.85MB 2023-08-15 15:45:25 RUN /bin/sh -c curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py # buildkit
0.00B 2023-08-15 15:45:20 ENV LANG=C.UTF-8
375.75MB 2023-08-15 15:45:20 RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends build-essential software-properties-common curl pkg-config unzip python3-dev python3-distutils && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-08-15 15:45:20 ENV CUDA=11.8
0.00B 2023-08-15 15:45:20 ENV DEBIAN_FRONTEND=noninteractive
1.14GB 2023-06-21 09:17:58 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-06-21 09:17:58 LABEL com.nvidia.cudnn.version=8.9.0.131
0.00B 2023-06-21 09:17:58 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-06-21 09:17:58 ARG TARGETARCH
0.00B 2023-06-21 09:17:58 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda11.8
0.00B 2023-06-21 09:17:58 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-06-21 09:17:58 ENV NV_CUDNN_VERSION=8.9.0.131
0.00B 2023-06-21 08:51:50 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-06-21 08:51:50 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-06-21 08:51:50 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-06-21 08:51:50 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
258.26KB 2023-06-21 08:51:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.42GB 2023-06-21 08:51:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-06-21 08:51:49 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-06-21 08:51:49 ARG TARGETARCH
0.00B 2023-06-21 08:51:49 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8
0.00B 2023-06-21 08:51:49 ENV NCCL_VERSION=2.16.2-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNPP_VERSION=11.8.0.86-1
0.00B 2023-06-21 08:51:49 ENV NV_NVTX_VERSION=11.8.86-1
0.00B 2023-06-21 08:51:49 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-06-21 08:41:06 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-06-21 08:41:06 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-06-21 08:41:06 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-06-21 08:41:06 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-06-21 08:41:06 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-06-21 08:41:06 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.68MB 2023-06-21 08:41:01 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-06-21 08:40:21 ENV CUDA_VERSION=11.8.0
18.32MB 2023-06-21 08:40:21 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-06-21 08:40:21 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-06-21 08:40:21 ARG TARGETARCH
0.00B 2023-06-21 08:40:21 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
0.00B 2023-06-21 08:40:21 ENV NV_CUDA_CUDART_VERSION=11.8.89-1
0.00B 2023-06-21 08:40:21 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516
0.00B 2023-06-21 08:40:21 ENV NVARCH=x86_64
0.00B 2023-06-06 01:08:58 /bin/sh -c #(nop) CMD ["/bin/bash"]
72.79MB 2023-06-06 01:08:58 /bin/sh -c #(nop) ADD file:655d373cb551d0dd5d7867f88a4f98908dc3f16190986f693e88c423e6f21b8d in /
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) ARG RELEASE

镜像信息

{
    "Id": "sha256:910bd7bf72e4b46a32f77c56123d5ff2a00071a8a521d20fd2870098bbd94d31",
    "RepoTags": [
        "exadel/compreface-core:1.2.0-mobilenet-gpu",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu"
    ],
    "RepoDigests": [
        "exadel/compreface-core@sha256:3c3396a516fc7b3c6911fc9050f9442ec394a52e81787374338c9f3edcf26ef3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/exadel/compreface-core@sha256:48871520ff4eab38abcc7bfe0d230ab1768d10f898b2b515b247590b04a42a20"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-08-15T08:05:18.144014265Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "3000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.8 brand=tesla,driver\u003e=450,driver\u003c451 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=510,driver\u003c511 brand=unknown,driver\u003e=510,driver\u003c511 brand=nvidia,driver\u003e=510,driver\u003c511 brand=nvidiartx,driver\u003e=510,driver\u003c511 brand=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,driver\u003e=510,driver\u003c511 brand=quadro,driver\u003e=510,driver\u003c511 brand=quadrortx,driver\u003e=510,driver\u003c511 brand=titan,driver\u003e=510,driver\u003c511 brand=titanrtx,driver\u003e=510,driver\u003c511 brand=tesla,driver\u003e=515,driver\u003c516 brand=unknown,driver\u003e=515,driver\u003c516 brand=nvidia,driver\u003e=515,driver\u003c516 brand=nvidiartx,driver\u003e=515,driver\u003c516 brand=geforce,driver\u003e=515,driver\u003c516 brand=geforcertx,driver\u003e=515,driver\u003c516 brand=quadro,driver\u003e=515,driver\u003c516 brand=quadrortx,driver\u003e=515,driver\u003c516 brand=titan,driver\u003e=515,driver\u003c516 brand=titanrtx,driver\u003e=515,driver\u003c516",
            "NV_CUDA_CUDART_VERSION=11.8.89-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
            "CUDA_VERSION=11.8.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.8.0-1",
            "NV_NVTX_VERSION=11.8.86-1",
            "NV_LIBNPP_VERSION=11.8.0.86-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1",
            "NV_LIBCUSPARSE_VERSION=11.7.5.86-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8",
            "NV_LIBCUBLAS_VERSION=11.11.3.6-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1",
            "NCCL_VERSION=2.16.2-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDNN_VERSION=8.9.0.131",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda11.8",
            "DEBIAN_FRONTEND=noninteractive",
            "CUDA=11.8",
            "LANG=C.UTF-8",
            "TF_FORCE_GPU_ALLOW_GROWTH=true",
            "MXNET_CPU_WORKER_NTHREADS=24",
            "MXNET_ENGINE_TYPE=ThreadedEnginePerDevice",
            "MXNET_CUDNN_AUTOTUNE_DEFAULT=0",
            "SKIP_TESTS=1",
            "BE_VERSION=",
            "APP_VERSION_STRING=",
            "HOME=/app/ml",
            "LC_ALL=C.UTF-8",
            "PYTHONUNBUFFERED=0",
            "JOBLIB_MULTIPROCESSING=0",
            "GPU_IDX=0",
            "INTEL_OPTIMIZATION=false",
            "FACE_DETECTION_PLUGIN=insightface.FaceDetector@retinaface_mnet025_v1",
            "CALCULATION_PLUGIN=insightface.Calculator@arcface_mobilefacenet",
            "EXTRA_PLUGINS=insightface.LandmarksDetector,insightface.GenderDetector,insightface.AgeDetector,insightface.facemask.MaskDetector,insightface.PoseEstimator"
        ],
        "Cmd": [
            "uwsgi",
            "--ini",
            "uwsgi.ini"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/ml",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cudnn.version": "8.9.0.131",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 6670572113,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/8b86df20b3427eff5b7e075b2c1456125aa6df4aee83a34ec0b39bb159654782/diff:/var/lib/docker/overlay2/0a9911115281df2fcf45ad9efdd273aa9d533d9af4cce48f8015b71849eb0146/diff:/var/lib/docker/overlay2/942e02016e780fffef116d2a5d5a402d015ea0d15175b8df4e5cb73f4c44a46c/diff:/var/lib/docker/overlay2/27293c5337d394f3a3e4d6e2b7733b3b7bb12f8dd859bc77a55954aef8757aa5/diff:/var/lib/docker/overlay2/6ed94588a5017a6f69be88421ff35c02dfa5ffcd93f1854b48759abc10bd6eda/diff:/var/lib/docker/overlay2/ea5f6e06d7907d730cb5f01c79bc45040f03671c7759320bf12ec8d517d6b608/diff:/var/lib/docker/overlay2/700bc018d6eb7de0cd026af6a55edc2e6190cec02c0cfeac1d3049ea9779a994/diff:/var/lib/docker/overlay2/f477787d0215de0a812f029dbc9016b4cb41cc2db0369d504fd01143847a80bb/diff:/var/lib/docker/overlay2/1f64f5cd777be7ca0cbf28cefb3b1d1838c238440ac1815d09d392d74ec55eb6/diff:/var/lib/docker/overlay2/7d7154809809ce7cf1fbb4cf01df818cbfd2e95bd75004f44c1c2f2a2caed204/diff:/var/lib/docker/overlay2/fadfd382d32398a7648bb100917ae9e552502573b7fab006433a0e1b906dedd8/diff:/var/lib/docker/overlay2/1c173424834254a5bd2fbc85b33089b13ec1b0603c826310d80d6d9d48def316/diff:/var/lib/docker/overlay2/9ed375637d9eeb9a32a1b8432e7706ba9c70ae60987e4b961bcebeabccde9c1a/diff:/var/lib/docker/overlay2/b67689f4fe87f49caacb37a5a95362cfcc083e20264d50fd46f01a9030e1f392/diff:/var/lib/docker/overlay2/8d0d5314d959371009f9dab915a2fb76ac9ad658f722ae0d6e0442958aaaf08f/diff:/var/lib/docker/overlay2/f6a3d890b4540b8b2d18853cfae74ebc722603e9823c83671460b695e69cb43a/diff:/var/lib/docker/overlay2/661d4c548d2c63cc4853b8d15073b303e3398c74f335e8b0a32a0c106620716c/diff:/var/lib/docker/overlay2/14a1513a4fc4b6c1f175ee97b0f4e2f16cd64e14f65427c7c2afa7146b3cdc0f/diff:/var/lib/docker/overlay2/269eaf0039fc425813e0522a6646a3b8c5de4c5b0c9dd49affa162a4f6a33da4/diff:/var/lib/docker/overlay2/a376c28de3771a8573db87356537ab0c3f79f1103bae2103fdb738d3a0a51bb4/diff:/var/lib/docker/overlay2/f833cee4a7f199b6da38147502a33940d184b9ed3e7bbd40bb92e3274e8a12f9/diff:/var/lib/docker/overlay2/ba7f1a126a21b76e4cbecd088b1810158785425ffa9e39de3642a0ba458cd45d/diff:/var/lib/docker/overlay2/4f1419e9eb8eab5e2c07f6ab453c25415aab6f8ce9e200fe097bcccf00c5ee97/diff:/var/lib/docker/overlay2/63ac60b172f5d1b1afa36dd8df8eebd6772d4e5fe674fe198062e9412842e72e/diff:/var/lib/docker/overlay2/09fd365dd7ece8b09afdccd1b0da0d89421b88daa3dacb44d3a020ef3db3e299/diff:/var/lib/docker/overlay2/f9bc7ca1a09f94514b3ca17fef05f614fa9e35fca6a08fe14aaf6753f30b9786/diff:/var/lib/docker/overlay2/c19724d382c1921c1eca908cf27f464debc85e1779026a7c115ce788e80db73a/diff:/var/lib/docker/overlay2/df1e8bf7c6d2fdbf45edf17d6fa901e6367537739a7af8e66dbb90c9b97afa8a/diff:/var/lib/docker/overlay2/f258239250b265c67b972efce46f32edfd2fc709c6f5794925ccd1eae427ab3a/diff:/var/lib/docker/overlay2/91eb000ac857faf0f8f287529559c20d33c6085b72eba4e819f176b883c391c7/diff",
            "MergedDir": "/var/lib/docker/overlay2/0efd1ca88907b0740d9ec4818a7948766e970bfeadb485ffe518491f8840f760/merged",
            "UpperDir": "/var/lib/docker/overlay2/0efd1ca88907b0740d9ec4818a7948766e970bfeadb485ffe518491f8840f760/diff",
            "WorkDir": "/var/lib/docker/overlay2/0efd1ca88907b0740d9ec4818a7948766e970bfeadb485ffe518491f8840f760/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:ec66d8cea54a2f4dfbbd8342ce082503bf8541e996a800c0d724b8dd2fea7f6a",
            "sha256:6426a7216f786776fe55fb5cd82da7e8db237310b069d2109efe4c3ca56a121e",
            "sha256:0ceb5c845fcfabcb8f8faf2d137a0b01033852cc0777eff860c8b1cbf613af4a",
            "sha256:a2fdb4e1ecd1c2a337f248568948e7b20b276605abf70872cad5bd4320967ebf",
            "sha256:93b76ad9c95e0609c03a101c1aab0f96814d19f93005588ea06f4891a10ab8cc",
            "sha256:d86b654bb9f92bc9eed7a4d105be5a1250da06f11a0514d5d73afca18ee8817b",
            "sha256:2556f07cfd83f6a5423b73f72ee9ddabb9dea9d768dc16bab8a9cf16ccf3b786",
            "sha256:914a68a70f7f24e80737450c4501b8e5f3f76b01e09d51150ee1dd47e9419353",
            "sha256:5f73babe0dd6943564e8ca7264b6835592940e62dc6981f0642692e1f427c448",
            "sha256:eb6faef1c12125c5ee0975088d72ee4c09863c7048f356a52dbfb5f14bf01969",
            "sha256:539d06aede883f2617e0f5a13bba56f60088c8e419881b25e63dc07ffa1c5d18",
            "sha256:949953e0a8dbe9cfa7209a55338bf632956ba653550b044643ef3ba4bd7ea636",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:46e242aefe1b744c2c737a696cbfe00a35d28a66e44c7336863d6c4e3c598761",
            "sha256:2c11963ce05767ef750ac984044b8fd2286279225d3e14431de2390803c3fef3",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:d1aa9117ea9be7643f51950308c4b05ff5398c225672d3132a53f9b45d591473",
            "sha256:467af8952f2fdefc2e5edc35a9dadc99f78ecaa3057815a46446aa71df9af277",
            "sha256:1f198eb4193994ad627dda81ea78a0b47e42a459fb927b7e7045a5ab48a56752",
            "sha256:50eea12d9cc5d81fbd889dbec70a88d30362040c14bbadd965448726b83f689f",
            "sha256:fe65ce04c2b54ca5934a7fdd767ab53990d1f069f15c67e808494ef25791e7c5",
            "sha256:9297bcc86fcc597032c1bd9d2d00ec4f58f0716a901aa12cf5704bf38c85752e",
            "sha256:277a3d96bc6003c00c3cb909f58a3fc48eac3406dec8a26d6f88bda57e215528",
            "sha256:f67e5812dbb74fd5d30117302e85b9b60534640696d326a3a58b998d4f823bec",
            "sha256:9bd36714d572d54fddb1337ca6e28d0042d42d681045a76bfad513989a6b9450",
            "sha256:a16268cec0061d542783780f717f2518e0cbd138408ac3049e003ac5d6cde63c",
            "sha256:7afff8bfa29c396b83b6646ba47cbb2f88b96ae7c1f5ff9f1aca61580aaabab2",
            "sha256:4d6b8e54b008c553072532f36afb8b7d4bf88e3684d6c36db91c908a2466102a",
            "sha256:3ea680fe7ba2fc8ce37a1a233675b59270b9bd5a5eec5b9aa630d8aa89cfe602",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:69e21c87375e9342f1f89f06c77c27598fe72969ca1647355bcd4edd542cc100"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-11-04T13:10:57.154041912+08:00"
    }
}

更多版本

docker.io/exadel/compreface-core:1.2.0-mobilenet-gpu

linux/amd64 docker.io6.67GB2024-11-04 13:15
50

docker.io/exadel/compreface-core:latest

linux/amd64 docker.io4.08GB2024-11-04 13:26
61