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:90

镜像名称：docker.io/exadel/compreface-core
作者：ExadeL
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	90 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	2025-02-21 17:11

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.io/exadel/compreface-core:1.2.0-mobilenet-gpu (ubuntu 20.04) (ubuntu)

Python (python-pkg)

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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'

镜像构建历史


# 2023-08-15 16:05:18  0.00B 设置默认要执行的命令
CMD ["uwsgi" "--ini" "uwsgi.ini"]
                        
# 2023-08-15 16:05:18  179.00B 复制新文件或目录到容器中
COPY uwsgi.ini . # buildkit
                        
# 2023-08-15 16:05:18  0.00B 声明容器运行时监听的端口
EXPOSE map[3000/tcp:{}]
                        
# 2023-08-15 16:05:18  0.00B 执行命令并创建新的镜像层
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
                        
# 2023-08-15 16:05:17  252.00B 复制新文件或目录到容器中
COPY pytest.ini . # buildkit
                        
# 2023-08-15 16:05:17  0.00B 定义构建参数
ARG SKIP_TESTS
                        
# 2023-08-15 16:05:17  9.76MB 复制新文件或目录到容器中
COPY sample_images sample_images # buildkit
                        
# 2023-08-15 16:05:17  27.80KB 复制新文件或目录到容器中
COPY tools tools # buildkit
                        
# 2023-08-15 16:05:17  964.34MB 执行命令并创建新的镜像层
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
                        
# 2023-08-15 16:03:40  3.04MB 复制新文件或目录到容器中
COPY srcext srcext # buildkit
                        
# 2023-08-15 16:03:40  980.96KB 复制新文件或目录到容器中
COPY src src # buildkit
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 FACE_DETECTION_PLUGIN CALCULATION_PLUGIN EXTRA_PLUGINS
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
                        
# 2023-08-15 16:03:40  0.00B 定义构建参数
ARG EXTRA_PLUGINS=facenet.LandmarksDetector,agegender.AgeDetector,agegender.GenderDetector,facenet.facemask.MaskDetector,facenet.PoseEstimator
                        
# 2023-08-15 16:03:40  0.00B 定义构建参数
ARG CALCULATION_PLUGIN=facenet.Calculator
                        
# 2023-08-15 16:03:40  0.00B 定义构建参数
ARG FACE_DETECTION_PLUGIN=facenet.FaceDetector
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 GPU_IDX INTEL_OPTIMIZATION
ENV GPU_IDX=0 INTEL_OPTIMIZATION=false
                        
# 2023-08-15 16:03:40  0.00B 定义构建参数
ARG GPU_IDX=-1
                        
# 2023-08-15 16:03:40  0.00B 定义构建参数
ARG INTEL_OPTIMIZATION=false
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 JOBLIB_MULTIPROCESSING
ENV JOBLIB_MULTIPROCESSING=0
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=0
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 HOME
ENV HOME=/app/ml
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 APP_VERSION_STRING
ENV APP_VERSION_STRING=
                        
# 2023-08-15 16:03:40  0.00B 设置环境变量 BE_VERSION
ENV BE_VERSION=
                        
# 2023-08-15 16:03:40  0.00B 定义构建参数
ARG APP_VERSION_STRING
                        
# 2023-08-15 16:03:40  0.00B 定义构建参数
ARG BE_VERSION
                        
# 2023-08-15 16:03:40  475.14MB 执行命令并创建新的镜像层
RUN /bin/bash -c pip --no-cache-dir install -r requirements.txt # buildkit
                        
# 2023-08-15 16:03:00  57.48MB 执行命令并创建新的镜像层
RUN /bin/bash -c pip --no-cache-dir install $(grep ^numpy requirements.txt) # buildkit
                        
# 2023-08-15 16:02:56  585.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2023-08-15 16:02:56  0.00B 设置工作目录为/app/ml
WORKDIR /app/ml
                        
# 2023-08-15 16:02:56  0.00B 
SHELL [/bin/bash -c]
                        
# 2023-08-15 16:02:56  511.08KB 执行命令并创建新的镜像层
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
                        
# 2023-08-15 16:02:44  34.70MB 执行命令并创建新的镜像层
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
                        
# 2023-08-15 15:57:07  1.34MB 执行命令并创建新的镜像层
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
                        
# 2023-08-15 15:56:37  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-08-15 15:56:37  928.37MB 执行命令并创建新的镜像层
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
                        
# 2023-08-15 15:45:27  0.00B 设置环境变量 SKIP_TESTS
ENV SKIP_TESTS=1
                        
# 2023-08-15 15:45:27  0.00B 设置环境变量 MXNET_ENGINE_TYPE MXNET_CUDNN_AUTOTUNE_DEFAULT
ENV MXNET_ENGINE_TYPE=ThreadedEnginePerDevice MXNET_CUDNN_AUTOTUNE_DEFAULT=0
                        
# 2023-08-15 15:45:27  0.00B 设置环境变量 MXNET_CPU_WORKER_NTHREADS
ENV MXNET_CPU_WORKER_NTHREADS=24
                        
# 2023-08-15 15:45:27  0.00B 设置环境变量 TF_FORCE_GPU_ALLOW_GROWTH
ENV TF_FORCE_GPU_ALLOW_GROWTH=true
                        
# 2023-08-15 15:45:27  16.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -s $(which python3) /usr/local/bin/python # buildkit
                        
# 2023-08-15 15:45:27  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m pip --no-cache-dir install --upgrade pip setuptools # buildkit
                        
# 2023-08-15 15:45:25  22.85MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py # buildkit
                        
# 2023-08-15 15:45:20  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2023-08-15 15:45:20  375.75MB 执行命令并创建新的镜像层
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
                        
# 2023-08-15 15:45:20  0.00B 设置环境变量 CUDA
ENV CUDA=11.8
                        
# 2023-08-15 15:45:20  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-06-21 09:17:58  1.14GB 执行命令并创建新的镜像层
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
                        
# 2023-06-21 09:17:58  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.0.131
                        
# 2023-06-21 09:17:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 09:17:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 09:17:58  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda11.8
                        
# 2023-06-21 09:17:58  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2023-06-21 09:17:58  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.0.131
                        
# 2023-06-21 08:51:50  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-06-21 08:51:50  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-06-21 08:51:50  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-06-21 08:51:50  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-06-21 08:51:49  258.26KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-06-21 08:51:49  2.42GB 执行命令并创建新的镜像层
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
                        
# 2023-06-21 08:51:49  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:51:49  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.16.2-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
                        
# 2023-06-21 08:51:49  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
                        
# 2023-06-21 08:41:06  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-06-21 08:41:06  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-06-21 08:41:06  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-06-21 08:41:06  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-06-21 08:41:06  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-06-21 08:41:06  46.00B 执行命令并创建新的镜像层
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
                        
# 2023-06-21 08:41:01  150.68MB 执行命令并创建新的镜像层
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
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2023-06-21 08:40:21  18.32MB 执行命令并创建新的镜像层
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
                        
# 2023-06-21 08:40:21  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:40:21  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
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
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-06-06 01:08:58  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-06-06 01:08:58  72.79MB 
/bin/sh -c #(nop) ADD file:655d373cb551d0dd5d7867f88a4f98908dc3f16190986f693e88c423e6f21b8d in / 
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "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",
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}

更多版本

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

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

docker.io/exadel/compreface-core:latest

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

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

镜像安全扫描 查看Trivy扫描报告

镜像安全扫描查看Trivy扫描报告