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docker.io/webodm/odx:gpu
linux/amd64 docker.io

WebODM ODX镜像，用于支持WebODM平台的数据交换与处理，提供影像数据的导入、导出及相关扩展功能，助力用户在无人机影像处理工作流中实现数据的高效交换与集成。

10
浏览次数
10.24GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu
源镜像
docker.io/webodm/odx:gpu
镜像ID
sha256:502f9575a13fbaae5a9f14247b347d8143553e20a96dcac1b37f4933ae5d27d6
镜像 TAG
gpu
镜像大小
10.24GB
平台架构
linux/amd64
镜像源
docker.io
项目信息
Hub 主页 所有 TAG
CMD
启动入口
python3 /code/run.py
工作目录
/code
OS/平台
linux/amd64
镜像创建
2026-08-29T21:20:19.771287506Z
同步时间
2026-09-02 00:21
浏览量
10 次
贡献者
⚙️ 环境变量 24
KeyValue
PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 2
NV_CUDA_CUDART_VERSION=12.9.79-1 3
CUDA_VERSION=12.9.1 4
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/code/SuperBuild/install/lib 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=12.9.1-1 8
NV_NVTX_VERSION=12.9.79-1 9
NV_LIBNPP_VERSION=12.4.1.87-1 10
NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.1.87-1 11
NV_LIBCUSPARSE_VERSION=12.5.10.65-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9 13
NV_LIBCUBLAS_VERSION=12.9.1.4-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.1.4-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.27.3-1 17
NCCL_VERSION=2.27.3-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.27.3-1+cuda12.9 19
NVIDIA_PRODUCT_NAME=CUDA 20
DEBIAN_FRONTEND=noninteractive 21
PYTHONPATH=:/code/SuperBuild/install/lib/python3.12:/code/SuperBuild/install/bin/opensfm 22
PDAL_DRIVER_PATH=/code/SuperBuild/install/bin 23
🏷️ 镜像标签 3
KeyValue
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
24.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 24.04 Trivy 2026-09-02 00:23 查看完整报告
87
低危 LOW
703
中危 MEDIUM
24
高危 HIGH
0
严重 CRITICAL
受影响目标 (2)
docker.io/webodm/odx:gpu (ubuntu 24.04) ubuntu Python python-pkg
阿里云阿里云高校计划(￥300代金券)领取 阿里云阿里云2核2G高性能云服务器 99元/年❤️ 华为云华为云2核4G2M云服务器，惊爆价99元1年 腾讯云腾讯云2核2G云服务器，惊爆价99元1年 UcloudUcloud 2核2G4M 59元/年❤️ 香港专线400G流量/月服务器 93元/年❤️ 低成本编程模型Opencode-Go低成本编程模型 chatgptGPT人工智能60G学习资料❤️ 云端GPU大模型AI训练️
无权限下载？点我修复 生成 Docker Run 命令 生成 Kubernetes YAML

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu  docker.io/webodm/odx:gpu

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu  docker.io/webodm/odx:gpu

Shell快速替换命令 

sed -i 's#webodm/odx:gpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx: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/webodm/odx:gpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu  docker.io/webodm/odx: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/webodm/odx:gpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu  docker.io/webodm/odx:gpu'

镜像构建历史 


# 2026-08-30 05:20:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python3" "/code/run.py"]
                        
# 2026-08-30 05:20:19  207.77MB 执行命令并创建新的镜像层
RUN /bin/sh -c bash configure.sh installruntimedeps   && apt-get clean   && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*   && bash run.sh --help   && bash -c "eval $(python3 /code/opendm/context.py) && python3 -c 'from opensfm import io, pymap'" # buildkit
                        
# 2026-08-30 05:19:54  779.44MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y  && apt-get install -y ffmpeg libtbbmalloc2 # buildkit
                        
# 2026-08-30 05:19:25  5.14GB 复制新文件或目录到容器中
COPY /usr/local /usr/local # buildkit
                        
# 2026-08-30 05:18:48  249.18MB 复制新文件或目录到容器中
COPY /code /code # buildkit
                        
# 2026-08-30 04:42:36  0.00B 设置工作目录为/code
WORKDIR /code
                        
# 2026-08-30 04:42:36  0.00B 设置环境变量 DEBIAN_FRONTEND PYTHONPATH LD_LIBRARY_PATH PDAL_DRIVER_PATH
ENV DEBIAN_FRONTEND=noninteractive PYTHONPATH=:/code/SuperBuild/install/lib/python3.12:/code/SuperBuild/install/bin/opensfm LD_LIBRARY_PATH=/usr/local/cuda/lib64:/code/SuperBuild/install/lib PDAL_DRIVER_PATH=/code/SuperBuild/install/bin
                        
# 2025-07-19 04:22:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-07-19 04:22:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-07-19 04:22:35  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-07-19 04:22:35  240.07KB 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
                        
# 2025-07-19 04:22:35  3.46GB 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-12-9=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-9=${NV_NVTX_VERSION}     libcusparse-12-9=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:22:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-07-19 04:22:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.27.3-1+cuda12.9
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.27.3-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.27.3-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.1.4-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.9.1.4-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.10.65-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.1.87-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.4.1.87-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.9.79-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.9.1-1
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-07-19 04:11:18  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-07-19 04:11:18  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-07-19 04:11:18  315.62MB 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-12-9=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:11:02  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.1
                        
# 2025-07-19 04:11:02  10.26MB 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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:11:02  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-07-19 04:11:02  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-07-19 04:11:02  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.79-1
                        
# 2025-07-19 04:11:02  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 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>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
                        
# 2025-07-19 04:11:02  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-07-15 00:40:23  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-07-15 00:40:22  78.12MB 
/bin/sh -c #(nop) ADD file:b4619a63cd7829e1338ddaa4995ca17003002dd54b0dfd675a6f54a2b69151a6 in / 
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:502f9575a13fbaae5a9f14247b347d8143553e20a96dcac1b37f4933ae5d27d6",
    "RepoTags": [
        "webodm/odx:gpu",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx:gpu"
    ],
    "RepoDigests": [
        "webodm/odx@sha256:d15986795bba41c0e3712e22bd44c4f365cec9fb9a97e360fb6ae8372ae2c99c",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/webodm/odx@sha256:31b8b696b08f05f4d0677e0467a3e9eb613dcde81fca500eb111ba0a77e6aa38"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-08-29T21:20:19.771287506Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
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}

更多版本

docker.io/webodm/odx:gpu

linux/amd64 docker.io10.24GB2026-09-02 00:21
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