docker.io/kaustubhrajput/image-classification-with-cpu:latest linux/arm64

docker.io/kaustubhrajput/image-classification-with-cpu:latest - 国内下载镜像源 浏览次数:59

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

温馨提示: 这是一个 linux/arm64 系统架构镜像
```html

这是一个名为“image-classification-with-cpu”的Docker容器镜像,由用户kaustubhrajput发布在Docker Hub上。该镜像很可能包含用于图像分类的应用程序或模型,并且特别指明使用了CPU进行处理,而不是GPU。

```
源镜像 docker.io/kaustubhrajput/image-classification-with-cpu:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64
镜像ID sha256:c4c0db9370f26edfd8741f5d40af5759dc4a57934fb58ff238a1ef664e4e899b
镜像TAG latest-linuxarm64
大小 2.63GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD fwatchdog
启动入口
工作目录 /home/app/
OS/平台 linux/arm64
浏览量 59 次
贡献者 25*******9@qq.com
镜像创建 2021-05-21T00:32:55.224004566Z
同步时间 2025-02-18 15:59
更新时间 2025-04-20 12:19
开放端口
8080/tcp
环境变量
PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/app/.local/bin:/home/app/python/bin/ LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib: NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=all DEBIAN_FRONTEND=noninteractive PYTHONPATH=:/home/app/python fprocess=python3 index.py
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 18.04 扫描引擎: Trivy 扫描时间: 2025-02-18 16:00

低危漏洞:316 中危漏洞:1263 高危漏洞:116 严重漏洞:9

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64  docker.io/kaustubhrajput/image-classification-with-cpu:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64  docker.io/kaustubhrajput/image-classification-with-cpu:latest

Shell快速替换命令

sed -i 's#kaustubhrajput/image-classification-with-cpu:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64#' 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/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64  docker.io/kaustubhrajput/image-classification-with-cpu:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/image-classification-with-cpu:latest-linuxarm64  docker.io/kaustubhrajput/image-classification-with-cpu:latest'

镜像构建历史


# 2021-05-21 08:32:55  0.00B 设置默认要执行的命令
CMD ["fwatchdog"]
                        
# 2021-05-21 08:32:55  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "[ -e /tmp/.lock ] || exit 1"] "3s" "0s" "0s" '\x00'}
                        
# 2021-05-21 08:32:55  0.00B 声明容器运行时监听的端口
EXPOSE map[8080/tcp:{}]
                        
# 2021-05-21 08:32:55  0.00B 设置环境变量 fprocess
ENV fprocess=python3 index.py
                        
# 2021-05-21 08:32:55  17.50MB 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c chown -R app:app ./ &&     chmod -R 777 /home/app/python # buildkit
                        
# 2021-05-21 08:32:54  30.57KB 复制新文件或目录到容器中
COPY imagenet_classes.txt . # buildkit
                        
# 2021-05-21 08:32:49  3.01KB 复制新文件或目录到容器中
COPY function function # buildkit
                        
# 2021-05-21 08:32:49  0.00B 指定运行容器时使用的用户
USER root
                        
# 2021-05-21 08:32:49  0.00B 设置工作目录为/home/app/
WORKDIR /home/app/
                        
# 2021-05-21 08:32:49  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c pip3 install -r requirements.txt --target=/home/app/python # buildkit
                        
# 2021-05-21 08:32:48  0.00B 复制新文件或目录到容器中
COPY function/requirements.txt . # buildkit
                        
# 2021-05-21 08:32:48  0.00B 设置工作目录为/home/app/function/
WORKDIR /home/app/function/
                        
# 2021-05-21 08:32:48  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c touch ./function/__init__.py # buildkit
                        
# 2021-05-21 08:32:47  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c mkdir -p function # buildkit
                        
# 2021-05-21 08:32:42  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c pip3 install -r requirements.txt --target=/home/app/python # buildkit
                        
# 2021-05-21 08:32:39  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=:/home/app/python
                        
# 2021-05-21 08:32:39  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/app/.local/bin:/home/app/python/bin/
                        
# 2021-05-21 08:32:39  0.00B 指定运行容器时使用的用户
USER app
                        
# 2021-05-21 08:32:39  17.47MB 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c wget https://github.com/kaustubhrajput46/datasets/raw/main/jpgs.zip &&         unzip jpgs.zip -d data # buildkit
                        
# 2021-05-21 08:21:16  376.47MB 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c apt-get update && apt-get upgrade -y && apt-get install -y build-essential     	python3-future     	python3-numpy     	python3-wheel     	python3-setuptools     	python3-pip     	wget     	zip # buildkit
                        
# 2021-05-21 08:21:15  0.00B 指定运行容器时使用的用户
USER root
                        
# 2021-05-21 08:21:15  472.00B 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c chown -R app /home/app &&     mkdir -p /home/app/python && chown -R app /home/app # buildkit
                        
# 2021-05-21 08:21:15  0.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2021-05-21 06:25:56  472.00B 复制新文件或目录到容器中
COPY index.py . # buildkit
                        
# 2021-05-21 06:25:55  0.00B 设置工作目录为/home/app/
WORKDIR /home/app/
                        
# 2021-05-21 06:25:54  396.74KB 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c groupadd app && useradd -r -g app app # buildkit
                        
# 2021-05-21 06:25:26  5.25MB 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c apt-get update     && apt-get install -y ca-certificates ${ADDITIONAL_PACKAGE}     && rm -rf /var/lib/apt/lists/ # buildkit
                        
# 2021-05-21 06:25:24  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/arm64 BUILDPLATFORM=linux/arm64 ADDITIONAL_PACKAGE= /bin/sh -c chmod +x /usr/bin/fwatchdog # buildkit
                        
# 2021-05-21 06:25:24  7.93MB 复制新文件或目录到容器中
COPY /fwatchdog /usr/bin/fwatchdog # buildkit
                        
# 2021-05-21 06:25:24  0.00B 定义构建参数
ARG ADDITIONAL_PACKAGE
                        
# 2021-05-21 06:25:24  0.00B 定义构建参数
ARG BUILDPLATFORM
                        
# 2021-05-21 06:25:24  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2020-10-19 23:24:23  7.33MB 
|6 PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.6.0 TORCHVISION_VERSION=v0.7.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 /bin/sh -c pip3 install pycuda --verbose
                        
# 2020-10-19 23:19:22  114.83KB 
|6 PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.6.0 TORCHVISION_VERSION=v0.7.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 /bin/sh -c echo "$PATH" && echo "$LD_LIBRARY_PATH"
                        
# 2020-10-19 23:19:21  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
                        
# 2020-10-19 23:19:20  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2020-10-19 23:19:20  15.09MB 
|6 PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.6.0 TORCHVISION_VERSION=v0.7.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 /bin/sh -c git clone -b ${TORCHAUDIO_VERSION} https://github.com/pytorch/audio torchaudio &&     cd torchaudio &&     python3 setup.py install &&     cd ../ &&     rm -rf torchaudio
                        
# 2020-10-19 23:15:49  5.34MB 
|6 PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl TORCHAUDIO_VERSION=v0.6.0 TORCHVISION_VERSION=v0.7.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends 		  sox 		  libsox-dev 		  libsox-fmt-all     && rm -rf /var/lib/apt/lists/*
                        
# 2020-10-19 23:15:35  0.00B 
/bin/sh -c #(nop)  ARG TORCHAUDIO_VERSION
                        
# 2020-10-19 23:15:34  28.18MB 
|5 PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.7.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 /bin/sh -c git clone -b ${TORCHVISION_VERSION} https://github.com/pytorch/vision torchvision &&     cd torchvision &&     python3 setup.py install &&     cd ../ &&     rm -rf torchvision &&     pip3 install "${PILLOW_VERSION}"
                        
# 2020-10-19 23:03:36  65.63MB 
|5 PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.7.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends 		  git 		  build-essential             libjpeg-dev 		  zlib1g-dev     && rm -rf /var/lib/apt/lists/*
                        
# 2020-10-19 23:03:17  114.14KB 
|5 PILLOW_VERSION=pillow PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl TORCHVISION_VERSION=v0.7.0 TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2 /bin/sh -c printenv && echo "torchvision version = $TORCHVISION_VERSION" && echo "pillow version = $PILLOW_VERSION" && echo "TORCH_CUDA_ARCH_LIST = $TORCH_CUDA_ARCH_LIST"
                        
# 2020-10-19 23:03:15  0.00B 
/bin/sh -c #(nop)  ARG TORCH_CUDA_ARCH_LIST=5.3;6.2;7.2
                        
# 2020-10-19 23:03:15  0.00B 
/bin/sh -c #(nop)  ARG PILLOW_VERSION=pillow<7
                        
# 2020-10-19 23:03:15  0.00B 
/bin/sh -c #(nop)  ARG TORCHVISION_VERSION=v0.4.0
                        
# 2020-10-19 23:03:14  1.13GB 
|2 PYTORCH_URL=https://nvidia.box.com/shared/static/9eptse6jyly1ggt9axbja2yrmj6pbarc.whl PYTORCH_WHL=torch-1.6.0-cp36-cp36m-linux_aarch64.whl /bin/sh -c wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${PYTORCH_URL} -O ${PYTORCH_WHL} &&     pip3 install ${PYTORCH_WHL} --verbose &&     rm ${PYTORCH_WHL}
                        
# 2020-10-19 23:02:13  0.00B 
/bin/sh -c #(nop)  ARG PYTORCH_WHL=torch-1.2.0-cp36-cp36m-linux_aarch64.whl
                        
# 2020-10-19 23:02:13  0.00B 
/bin/sh -c #(nop)  ARG PYTORCH_URL=https://nvidia.box.com/shared/static/lufbgr3xu2uha40cs9ryq1zn4kxsnogl.whl
                        
# 2020-10-19 23:02:12  61.72MB 
/bin/sh -c pip3 install numpy --verbose
                        
# 2020-10-19 22:54:44  12.48MB 
/bin/sh -c pip3 install setuptools Cython wheel
                        
# 2020-10-19 22:54:31  237.66MB 
/bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends             python3-pip 		  python3-dev 		  libopenblas-dev 		  libopenmpi2             openmpi-bin             openmpi-common 		  gfortran     && rm -rf /var/lib/apt/lists/*
                        
# 2020-10-19 22:53:43  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive
                        
# 2020-10-17 02:58:15  0.00B 
/bin/sh -c #(nop) CMD ["/bin/bash"]
                        
# 2020-10-17 02:58:14  0.00B 
/bin/sh -c #(nop) ENV NVIDIA_DRIVER_CAPABILITIES all
                        
# 2020-10-17 02:58:13  0.00B 
/bin/sh -c #(nop) ENV NVIDIA_VISIBLE_DEVICES all
                        
# 2020-10-17 02:58:12  71.93KB 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c ldconfig
                        
# 2020-10-17 02:58:11  0.00B 
/bin/sh -c #(nop) ENV LD_LIBRARY_PATH /usr/local/cuda-$CUDA/targets/aarch64-linux/lib:${LD_LIBRARY_PATH}
                        
# 2020-10-17 02:58:10  0.00B 
/bin/sh -c #(nop) ENV PATH /usr/local/cuda-$CUDA/bin:/usr/local/cuda/bin:${PATH}
                        
# 2020-10-17 02:58:09  116.00B 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c ln -s /usr/local/cuda-$CUDA /usr/local/cuda &&     ln -s /usr/local/cuda-$CUDA/targets/aarch64-linux/include /usr/local/cuda/include &&     ln -s /usr/local/cuda-$CUDA/targets/aarch64-linux/lib /usr/local/cuda/lib64
                        
# 2020-10-17 02:58:08  786.19KB 
/bin/sh -c #(nop) COPY file:22080695635f40ad38a39f321ba537abd01830c823a8b855d496ae638cfeb049 in /usr/local/cuda-$CUDA/targets/aarch64-linux/lib/ 
                        
# 2020-10-17 02:58:07  677.04KB 
/bin/sh -c #(nop) COPY file:2e48456e7554a106ce4e6c8d8a21d207ec7fc6001b84c87f095226537559225d in /usr/local/cuda-$CUDA/targets/aarch64-linux/lib/ 
                        
# 2020-10-17 02:58:05  1.31MB 
/bin/sh -c #(nop) COPY dir:1dd7dae72fbc00eefede3a7346e7326a885df0b6ec9f0b6b282f6a0e65c62d66 in /usr/local/cuda-$CUDA/targets/aarch64-linux/lib/stubs 
                        
# 2020-10-17 02:58:04  22.06MB 
/bin/sh -c #(nop) COPY dir:c8efdad2a830c5d50aea2c30d0650064961081b40cec0786bb80e645a9928b5c in /usr/local/cuda-$CUDA/targets/aarch64-linux/include 
                        
# 2020-10-17 02:58:02  499.59KB 
/bin/sh -c #(nop) COPY dir:6fa64bdd1a5681089ce6c4d9fc9cd77c78b7e743d8d9b9f896033cea640069cb in /usr/local/cuda-$CUDA/nvvmx 
                        
# 2020-10-17 02:58:00  35.44MB 
/bin/sh -c #(nop) COPY dir:9b46734dc8a7091663195ffe9ffc9857883348879526dc41187c7dfedf759531 in /usr/local/cuda-$CUDA/nvvm 
                        
# 2020-10-17 02:57:57  51.19MB 
/bin/sh -c #(nop) COPY dir:0725d1b4474f0344f4b7b1390622390edf8803504d6361ea2d4bf4c4d9a84323 in /usr/local/cuda-$CUDA/bin 
                        
# 2020-10-17 02:57:55  0.00B 
/bin/sh -c #(nop) ARG CUDA=invalid
                        
# 2020-10-17 02:57:54  47.00B 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c echo "/usr/local/cuda-$CUDA/targets/aarch64-linux/lib" >> /etc/ld.so.conf.d/nvidia.conf
                        
# 2020-10-17 02:57:53  110.00B 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c mkdir -p /usr/share/egl/egl_external_platform.d/ && echo '{    "file_format_version" : "1.0.0",    "ICD" : {        "library_path" : "libnvidia-egl-wayland.so.1"    }}' > /usr/share/egl/egl_external_platform.d/nvidia_wayland.json
                        
# 2020-10-17 02:57:51  102.00B 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c mkdir -p /usr/share/glvnd/egl_vendor.d/ && echo '{    "file_format_version" : "1.0.0",    "ICD" : {        "library_path" : "libEGL_nvidia.so.0"    }}' > /usr/share/glvnd/egl_vendor.d/10_nvidia.json
                        
# 2020-10-17 02:57:50  0.00B 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c rm /usr/share/glvnd/egl_vendor.d/50_mesa.json
                        
# 2020-10-17 02:57:49  70.00B 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c echo "/usr/lib/aarch64-linux-gnu/tegra" >> /etc/ld.so.conf.d/nvidia-tegra.conf &&     echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf
                        
# 2020-10-17 02:57:32  465.72MB 
|2 CUDA=10.2 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt-get update && apt-get install -qq -y --no-install-recommends     bc     bzip2     can-utils     freeglut3-dev     gstreamer1.0-alsa     gstreamer1.0-libav     gstreamer1.0-plugins-bad     gstreamer1.0-plugins-base     gstreamer1.0-plugins-good     gstreamer1.0-plugins-ugly     gstreamer1.0-tools     i2c-tools     iw     kbd     language-pack-en-base     libapt-inst2.0     libcanberra-gtk3-module     libgles2     libglu1-mesa-dev     libglvnd-dev     libgtk-3-0     libpython2.7     libudev1     libvulkan1     libzmq5     mtd-utils     parted     pciutils     python     python-pexpect     python3-distutils     sox     udev     vulkan-utils     wget     wireless-tools wpasupplicant &&     rm -rf /var/lib/apt/lists/* && apt-get clean
                        
# 2020-10-17 02:49:55  0.00B 
/bin/sh -c #(nop) ARG DEBIAN_FRONTEND=noninteractive
                        
# 2020-09-26 06:47:39  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2020-09-26 06:47:38  7.00B 
/bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container
                        
# 2020-09-26 06:47:36  0.00B 
/bin/sh -c [ -z "$(apt-get indextargets)" ]
                        
# 2020-09-26 06:47:35  745.00B 
/bin/sh -c set -xe 		&& echo '#!/bin/sh' > /usr/sbin/policy-rc.d 	&& echo 'exit 101' >> /usr/sbin/policy-rc.d 	&& chmod +x /usr/sbin/policy-rc.d 		&& dpkg-divert --local --rename --add /sbin/initctl 	&& cp -a /usr/sbin/policy-rc.d /sbin/initctl 	&& sed -i 's/^exit.*/exit 0/' /sbin/initctl 		&& echo 'force-unsafe-io' > /etc/dpkg/dpkg.cfg.d/docker-apt-speedup 		&& echo 'DPkg::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' > /etc/apt/apt.conf.d/docker-clean 	&& echo 'APT::Update::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' >> /etc/apt/apt.conf.d/docker-clean 	&& echo 'Dir::Cache::pkgcache ""; Dir::Cache::srcpkgcache "";' >> /etc/apt/apt.conf.d/docker-clean 		&& echo 'Acquire::Languages "none";' > /etc/apt/apt.conf.d/docker-no-languages 		&& echo 'Acquire::GzipIndexes "true"; Acquire::CompressionTypes::Order:: "gz";' > /etc/apt/apt.conf.d/docker-gzip-indexes 		&& echo 'Apt::AutoRemove::SuggestsImportant "false";' > /etc/apt/apt.conf.d/docker-autoremove-suggests
                        
# 2020-09-26 06:47:32  56.74MB 
/bin/sh -c #(nop) ADD file:d2c57bfbb29f6de3b29050a2c50c3806e0c8caa26f6d8dea47f479c923d72e3e in / 
                        
                    

镜像信息

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}

更多版本

docker.io/kaustubhrajput/image-classification-with-cpu:latest

linux/arm64 docker.io2.63GB2025-02-18 15:59
58