docker.io/kaustubhrajput/object-classification-yolo-gpu:latest linux/arm64

docker.io/kaustubhrajput/object-classification-yolo-gpu:latest - 国内下载镜像源 浏览次数:54

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

这是一个基于YOLO算法的物体分类Docker镜像,并且支持GPU加速。它由kaustubhrajput创建并发布在Docker Hub上。

```
源镜像 docker.io/kaustubhrajput/object-classification-yolo-gpu:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu:latest-linuxarm64
镜像ID sha256:de4a9cd077ab5676f8c6957ae79f2c2649c11e8abf5efff9e7acfba62d6521b1
镜像TAG latest-linuxarm64
大小 972.20MB
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/yolo-custom
OS/平台 linux/arm64
浏览量 54 次
贡献者 25*******9@qq.com
镜像创建 2021-05-21T18:35:25.219347456Z
同步时间 2025-02-18 16:03
更新时间 2025-04-18 14:28
开放端口
8080/tcp
环境变量
PATH=/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda-10.2/targets/aarch64-linux/lib: NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=all fprocess=python3 exec.py write_debug=false
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 16:03

低危漏洞:322 中危漏洞:1266 高危漏洞:94 严重漏洞:4

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu:latest-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu:latest-linuxarm64  docker.io/kaustubhrajput/object-classification-yolo-gpu:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu:latest-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu:latest-linuxarm64  docker.io/kaustubhrajput/object-classification-yolo-gpu:latest

Shell快速替换命令

sed -i 's#kaustubhrajput/object-classification-yolo-gpu:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu: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/object-classification-yolo-gpu:latest-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu:latest-linuxarm64  docker.io/kaustubhrajput/object-classification-yolo-gpu: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/object-classification-yolo-gpu:latest-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kaustubhrajput/object-classification-yolo-gpu:latest-linuxarm64  docker.io/kaustubhrajput/object-classification-yolo-gpu:latest'

镜像构建历史


# 2021-05-22 02:35:25  0.00B 设置默认要执行的命令
CMD ["fwatchdog"]
                        
# 2021-05-22 02:35:25  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'}
                        
# 2021-05-22 02:35:25  0.00B 声明容器运行时监听的端口
EXPOSE map[8080/tcp:{}]
                        
# 2021-05-22 02:35:25  0.00B 设置环境变量 write_debug
ENV write_debug=false
                        
# 2021-05-22 02:35:25  0.00B 设置环境变量 fprocess
ENV fprocess=python3 exec.py
                        
# 2021-05-22 02:35:25  95.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod 777 exec.sh # buildkit
                        
# 2021-05-22 02:35:25  324.00B 复制新文件或目录到容器中
COPY exec.py . # buildkit
                        
# 2021-05-22 02:35:24  17.47MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://github.com/kaustubhrajput46/datasets/raw/main/jpgs.zip && 	unzip jpgs.zip -d data # buildkit
                        
# 2021-05-22 02:35:15  0.00B 设置工作目录为/home/app/yolo-custom
WORKDIR /home/app/yolo-custom
                        
# 2021-05-22 02:35:15  156.00B 复制新文件或目录到容器中
COPY exec.sh . # buildkit
                        
# 2021-05-22 02:35:15  87.47MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/kaustubhrajput46/yolo-custom.git # buildkit
                        
# 2021-05-22 02:35:14  0.00B 设置工作目录为/home/app
WORKDIR /home/app
                        
# 2021-05-22 02:35:14  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /home/app # buildkit
                        
# 2021-05-22 02:34:27  48.72MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y         autoconf         build-essential         libtool         bc         automake         git 	zip # buildkit
                        
# 2021-05-22 02:34:27  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /usr/bin/fwatchdog # buildkit
                        
# 2021-05-22 02:34:25  8.13MB 复制新文件或目录到容器中
COPY /fwatchdog /usr/bin/fwatchdog # buildkit
                        
# 2021-05-22 02:34:25  5.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install --no-install-recommends --no-install-suggests -y ca-certificates # buildkit
                        
# 2021-05-22 02:34:08  170.10MB 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 make g++ # buildkit
                        
# 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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    "Author": "",
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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    "Metadata": {
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    }
}

更多版本

docker.io/kaustubhrajput/object-classification-yolo-gpu:latest

linux/arm64 docker.io972.20MB2025-02-18 16:03
53