广告图片

docker.io/dustynv/jetson-inference:r36.3.0 linux/arm64

docker.io/dustynv/jetson-inference:r36.3.0 - 国内下载镜像源 浏览次数:9 温馨提示: 这是一个 linux/arm64 系统架构镜像

这个镜像是为NVIDIA Jetson系列设备（如Jetson Nano、Jetson Xavier NX等）提供的深度学习推理工具集镜像，包含预训练的计算机视觉模型（如图像分类、目标检测、语义分割等）、推理代码示例及相关依赖库，方便开发者在Jetson平台上快速部署和测试AI推理应用。

源镜像 docker.io/dustynv/jetson-inference:r36.3.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64
镜像ID sha256:48d8c1f46455baca43e3912857fd3a3594d9b33a3a169e0cdb226936526ae9ba
镜像TAG r36.3.0-linuxarm64
大小 14.81GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /
OS/平台 linux/arm64
浏览量 9 次
贡献者
镜像创建 2024-06-20T17:46:48.435101507Z
同步时间 2026-04-24 00:56
环境变量
PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin DEBIAN_FRONTEND=noninteractive LANGUAGE=en_US:en LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8 CUDA_HOME=/usr/local/cuda NVCC_PATH=/usr/local/cuda/bin/nvcc NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=all CUDAARCHS=87 CUDA_ARCHITECTURES=87 CUDNN_LIB_PATH=/usr/lib/aarch64-linux-gnu CUDNN_LIB_INCLUDE_PATH=/usr/include CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc CUDA_NVCC_EXECUTABLE=/usr/local/cuda/bin/nvcc CUDACXX=/usr/local/cuda/bin/nvcc TORCH_NVCC_FLAGS=-Xfatbin -compress-all CUDA_BIN_PATH=/usr/local/cuda/bin CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda LD_LIBRARY_PATH=/usr/local/cuda/compat:/usr/local/cuda/lib64: TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122 PIP_INDEX_URL=http://jetson.webredirect.org/jp6/cu122 PIP_TRUSTED_HOST=jetson.webredirect.org TWINE_REPOSITORY_URL=http://jao-51/jp6/cu122 TWINE_USERNAME=jp6 TWINE_PASSWORD=NvidiaJetson24 SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122 SCP_UPLOAD_USER=nvidia SCP_UPLOAD_PASS=nvidia PYTHON_VERSION=3.10 PIP_DISABLE_PIP_VERSION_CHECK=on PIP_DEFAULT_TIMEOUT=100 PYTHONFAULTHANDLER=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 PYTHONHASHSEED=random PIP_NO_CACHE_DIR=off PIP_CACHE_PURGE=true PIP_ROOT_USER_ACTION=ignore TWINE_NON_INTERACTIVE=1 OPENBLAS_CORETYPE=ARMV8 TORCH_CUDA_ARCH_LIST=8.7 TORCH_HOME=/data/models/torch OPENCV_VERSION=4.8.1 OPENCV_URL= LD_PRELOAD=/lib/aarch64-linux-gnu/libGLdispatch.so.0:
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
无权限下载?点我修复 生成Docker Run命令 生成Kubernetes YAML资源

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64  docker.io/dustynv/jetson-inference:r36.3.0

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64  docker.io/dustynv/jetson-inference:r36.3.0

Shell快速替换命令 

sed -i 's#dustynv/jetson-inference:r36.3.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-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/dustynv/jetson-inference:r36.3.0-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64  docker.io/dustynv/jetson-inference:r36.3.0'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64  docker.io/dustynv/jetson-inference:r36.3.0'

镜像构建历史 


# 2024-06-21 01:46:48  0.00B 
/bin/sh -c #(nop)  ENV LD_PRELOAD=/lib/aarch64-linux-gnu/libGLdispatch.so.0:
                        
# 2024-06-21 01:46:46  661.01MB 
/bin/sh -c /tmp/build_jetson_inference.sh
                        
# 2024-06-21 01:44:09  1.26KB 
/bin/sh -c #(nop) COPY file:324a76bb6f2b5e71df7432487740f5a7678a304d5c9edecf91ff9b7bc75731a9 in /tmp/build_jetson_inference.sh 
                        
# 2024-06-21 01:44:09  361.00B 
/bin/sh -c #(nop) ADD 2d3746dbb9bef76fb436713fb34ac098583711f0b1b2a88a6f2cd03d6d6f1226 in /tmp/jetson_inference_version.json 
                        
# 2024-06-06 10:33:42  3.20MB 
/bin/sh -c cp -r /usr/include/gstreamer-1.0 /tmp &&     /tmp/opencv/install.sh &&     cp -r /tmp/gstreamer-1.0 /usr/include &&     rm -rf /tmp/gstreamer-1.0 &&     ln -s /usr/lib/$(uname -m)-linux-gnu/libgstwebrtc-1.0.so.0 /usr/lib/$(uname -m)-linux-gnu/libgstwebrtc-1.0.so ||     echo "libgstwebrtc already setup"
                        
# 2024-06-06 10:32:41  420.73MB 
/bin/sh -c apt-get update &&     apt-get purge -y '*opencv*' || echo "existing OpenCV installation not found" &&     apt-get install -y --no-install-recommends 		  lsb-release 		  libgstreamer1.0-dev 		  gstreamer1.0-tools 		  gstreamer1.0-libav 		  gstreamer1.0-rtsp 		  gstreamer1.0-plugins-good 		  gstreamer1.0-plugins-bad 		  gstreamer1.0-plugins-ugly 		  libgstreamer-plugins-base1.0-dev 		  libgstreamer-plugins-good1.0-dev 		  libgstreamer-plugins-bad1.0-dev 		  libgstrtspserver-1.0-0 		  python3-gi 		  python3-gst-1.0 &&     if [ `lsb_release --codename --short` != 'bionic' ]; then     apt-get install -y --no-install-recommends 		  gstreamer1.0-plugins-rtp;     else echo "skipping packages unavailable for Ubuntu 18.04"; fi     && rm -rf /var/lib/apt/lists/*     && apt-get clean
                        
# 2024-06-06 10:30:09  907.43MB 
|3 CUDA_ARCH_BIN=8.7 FORCE_BUILD=off OPENCV_PYTHON=4.x /bin/sh -c cd /tmp/opencv && ./install.sh || ./build.sh
                        
# 2024-06-06 10:26:56  8.80KB 
/bin/sh -c #(nop) COPY multi:ed53fef89d52acb561fe7ae6de1324f065bfa865cc932ada058b69c288f522e7 in /tmp/opencv/ 
                        
# 2024-06-06 10:26:56  0.00B 
/bin/sh -c #(nop)  ENV OPENCV_VERSION=4.8.1 OPENCV_URL=
                        
# 2024-06-06 10:26:56  0.00B 
/bin/sh -c #(nop)  ARG OPENCV_VERSION OPENCV_PYTHON OPENCV_URL CUDA_ARCH_BIN FORCE_BUILD=off
                        
# 2024-05-28 17:06:16  2.31GB 
|3 TENSORRT_DEB=nv-tensorrt-local-repo-l4t-8.6.2-cuda-12.2 TENSORRT_PACKAGES=tensorrt tensorrt-libs python3-libnvinfer-dev TENSORRT_URL=https://nvidia.box.com/shared/static/hmwr57hm88bxqrycvlyma34c3k4c53t9.deb /bin/sh -c set -ex &&     echo "Downloading ${TENSORRT_DEB}" &&     mkdir -p /tmp/tensorrt &&     cd /tmp/tensorrt &&     wget --quiet --show-progress --progress=bar:force:noscroll ${TENSORRT_URL} &&     dpkg -i *.deb &&     cp /var/nv-tensorrt-local-repo-*/nv-tensorrt-local-*-keyring.gpg /usr/share/keyrings/ &&     apt-get update &&     apt-cache search tensorrt &&     apt-get install -y --no-install-recommends ${TENSORRT_PACKAGES} &&         rm -rf /var/lib/apt/lists/* &&     apt-get clean &&     dpkg --list | grep tensorrt &&     dpkg -P ${TENSORRT_DEB} &&     rm -rf /tmp/tensorrt
                        
# 2024-05-28 17:04:07  0.00B 
/bin/sh -c #(nop)  ARG TENSORRT_URL TENSORRT_DEB TENSORRT_PACKAGES
                        
# 2024-05-23 01:08:23  25.10MB 
|2 FORCE_BUILD=off TORCHVISION_VERSION=0.17.2 /bin/sh -c /tmp/torchvision/install.sh || /tmp/torchvision/build.sh
                        
# 2024-05-23 01:08:18  3.89MB 
|2 FORCE_BUILD=off TORCHVISION_VERSION=0.17.2 /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends         libjpeg-dev         libpng-dev         zlib1g-dev 	&& rm -rf /var/lib/apt/lists/* 	&& apt-get clean
                        
# 2024-05-23 01:08:07  966.00B 
/bin/sh -c #(nop) COPY multi:a6bd15108f9a6448d2c909d50303aaad0b4ab8da15419140464ed05401ce1299 in /tmp/torchvision/ 
                        
# 2024-05-23 01:08:07  0.00B 
/bin/sh -c #(nop)  ARG TORCHVISION_VERSION FORCE_BUILD=off
                        
# 2024-05-08 22:33:07  929.84MB 
|4 FORCE_BUILD=off PYTORCH_BUILD_VERSION=2.2.0 TORCH_CUDA_ARCH_ARGS=8.7 TORCH_VERSION=2.2 /bin/sh -c /tmp/pytorch/install.sh || /tmp/pytorch/build.sh
                        
# 2024-05-08 22:31:58  2.55KB 
/bin/sh -c #(nop) COPY multi:015ab6a49be45efc231c76963a8192ec88da7bf4a29ce2214c4fdec65a62490d in /tmp/pytorch/ 
                        
# 2024-05-08 22:31:58  0.00B 
/bin/sh -c #(nop)  ENV TORCH_CUDA_ARCH_LIST=8.7 TORCH_HOME=/data/models/torch
                        
# 2024-05-08 22:31:57  0.00B 
/bin/sh -c #(nop)  ARG TORCH_CUDA_ARCH_ARGS TORCH_VERSION PYTORCH_BUILD_VERSION FORCE_BUILD=off
                        
# 2024-05-08 22:31:56  34.33MB 
|1 ONNX_VERSION=main /bin/sh -c pip3 install --no-cache-dir --verbose onnx ||     pip3 install --no-cache-dir --verbose git+https://github.com/onnx/onnx@${ONNX_VERSION} &&     pip3 show onnx &&     python3 -c 'import onnx; print(onnx.__version__)'
                        
# 2024-05-08 22:31:44  0.00B 
/bin/sh -c #(nop)  ARG ONNX_VERSION
                        
# 2024-05-08 22:31:44  60.71MB 
/bin/sh -c set -ex     && pip3 install --upgrade --force-reinstall --no-cache-dir --verbose cmake         && cmake --version     && which cmake
                        
# 2024-05-08 22:31:36  56.19MB 
/bin/sh -c pip3 install --upgrade --no-cache-dir --verbose numpy &&     pip3 show numpy && python3 -c 'import numpy; print(numpy.__version__)'
                        
# 2024-05-08 22:31:30  0.00B 
/bin/sh -c #(nop)  ENV OPENBLAS_CORETYPE=ARMV8
                        
# 2024-05-08 22:31:30  69.63MB 
|1 PYTHON_VERSION_ARG=3.10 /bin/sh -c /tmp/install_python.sh
                        
# 2024-05-08 22:30:46  1.43KB 
/bin/sh -c #(nop) COPY file:3c6ac14b542e3c363b5fc1cf092f8d51921c5430be5c369498a3f1ebf38eadd5 in /tmp/install_python.sh 
                        
# 2024-05-08 22:30:46  0.00B 
/bin/sh -c #(nop)  ENV PYTHON_VERSION=3.10 PIP_DISABLE_PIP_VERSION_CHECK=on PIP_DEFAULT_TIMEOUT=100 PYTHONFAULTHANDLER=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 PYTHONHASHSEED=random PIP_NO_CACHE_DIR=off PIP_CACHE_PURGE=true PIP_ROOT_USER_ACTION=ignore TWINE_NON_INTERACTIVE=1 DEBIAN_FRONTEND=noninteractive
                        
# 2024-05-08 22:30:45  0.00B 
/bin/sh -c #(nop)  ARG PYTHON_VERSION_ARG
                        
# 2024-05-08 22:30:44  637.88KB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-8.9.4.25 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://nvidia.box.com/shared/static/ht4li6b0j365ta7b76a6gw29rk5xh8cy.deb /bin/sh -c cd /usr/src/cudnn_samples_v*/conv_sample/ &&     make -j$(nproc)
                        
# 2024-05-08 22:30:29  2.73GB 
|3 CUDNN_DEB=cudnn-local-tegra-repo-ubuntu2204-8.9.4.25 CUDNN_PACKAGES=libcudnn*-dev libcudnn*-samples CUDNN_URL=https://nvidia.box.com/shared/static/ht4li6b0j365ta7b76a6gw29rk5xh8cy.deb /bin/sh -c echo "Downloading ${CUDNN_DEB}" &&     mkdir /tmp/cudnn && cd /tmp/cudnn &&     wget --quiet --show-progress --progress=bar:force:noscroll ${CUDNN_URL} &&     dpkg -i *.deb &&     cp /var/cudnn-local-tegra-repo-*/cudnn-local-tegra-*-keyring.gpg /usr/share/keyrings/ &&     apt-get update &&     apt-cache search cudnn &&     apt-get install -y --no-install-recommends ${CUDNN_PACKAGES} &&     rm -rf /var/lib/apt/lists/* &&     apt-get clean &&     dpkg --list | grep cudnn &&     dpkg -P ${CUDNN_DEB} &&     rm -rf /tmp/cudnn
                        
# 2024-05-08 22:28:17  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_PACKAGES
                        
# 2024-05-08 22:28:17  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_DEB
                        
# 2024-05-08 22:28:17  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_URL
                        
# 2024-05-08 22:28:16  0.00B 
/bin/sh -c #(nop) WORKDIR /
                        
# 2024-05-08 22:28:16  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=all CUDAARCHS=87 CUDA_ARCHITECTURES=87 CUDA_HOME=/usr/local/cuda CUDNN_LIB_PATH=/usr/lib/aarch64-linux-gnu CUDNN_LIB_INCLUDE_PATH=/usr/include CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc CUDA_NVCC_EXECUTABLE=/usr/local/cuda/bin/nvcc CUDACXX=/usr/local/cuda/bin/nvcc TORCH_NVCC_FLAGS=-Xfatbin -compress-all CUDA_BIN_PATH=/usr/local/cuda/bin CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/compat:/usr/local/cuda/lib64: TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122 PIP_INDEX_URL=http://jetson.webredirect.org/jp6/cu122 PIP_TRUSTED_HOST=jetson.webredirect.org TWINE_REPOSITORY_URL=http://jao-51/jp6/cu122 TWINE_USERNAME=jp6 TWINE_PASSWORD=NvidiaJetson24 SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122 SCP_UPLOAD_USER=nvidia SCP_UPLOAD_PASS=nvidia DEBIAN_FRONTEND=noninteractive
                        
# 2024-05-08 22:28:16  0.00B 
/bin/sh -c #(nop)  ENV NVCC_PATH=/usr/local/cuda/bin/nvcc
                        
# 2024-05-08 22:28:15  0.00B 
/bin/sh -c #(nop)  ENV CUDA_HOME=/usr/local/cuda
                        
# 2024-05-08 22:28:13  5.88GB 
|14 CUDA_ARCH_LIST=87 CUDA_DEB=cuda-tegra-repo-ubuntu2204-12-2-local CUDA_PACKAGES=cuda-toolkit* CUDA_URL=https://nvidia.box.com/shared/static/uvqtun1sc0bq76egarc8wwuh6c23e76e.deb DISTRO=ubuntu2204 PIP_INDEX_REPO=http://jetson.webredirect.org/jp6/cu122 PIP_TRUSTED_HOSTS=jetson.webredirect.org PIP_UPLOAD_PASS=NvidiaJetson24 PIP_UPLOAD_REPO=http://jao-51/jp6/cu122 PIP_UPLOAD_USER=jp6 SCP_UPLOAD_PASS=nvidia SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122 SCP_UPLOAD_USER=nvidia TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122 /bin/sh -c /tmp/install_cuda.sh
                        
# 2024-05-08 03:50:18  894.00B 
/bin/sh -c #(nop) COPY file:4688f070ce9fd499963f7be4fc8a47addb43e87261c4168cebeebf5923452502 in /tmp/install_cuda.sh 
                        
# 2024-05-08 03:50:18  0.00B 
/bin/sh -c #(nop)  ARG CUDA_URL CUDA_DEB CUDA_PACKAGES CUDA_ARCH_LIST PIP_INDEX_REPO PIP_UPLOAD_REPO PIP_UPLOAD_USER PIP_UPLOAD_PASS PIP_TRUSTED_HOSTS TAR_INDEX_URL SCP_UPLOAD_URL SCP_UPLOAD_USER SCP_UPLOAD_PASS DISTRO=ubuntu2004
                        
# 2024-05-08 03:50:18  1.77KB 
/bin/sh -c #(nop) COPY file:c151096ecdec41c0e751df4f9131773ddaf0b0074b72388cc344129a04329635 in /usr/local/bin/ 
                        
# 2024-05-08 03:50:17  654.00MB 
/bin/sh -c set -ex     && apt-get update     && apt-get install -y --no-install-recommends         locales         locales-all         tzdata     && locale-gen en_US $LANG     && update-locale LC_ALL=$LC_ALL LANG=$LANG     && locale         && apt-get install -y --no-install-recommends         build-essential         software-properties-common         apt-transport-https         ca-certificates         lsb-release         pkg-config         gnupg         git         gdb         wget         curl         nano         zip         unzip         time 	   sshpass 	   ssh-client     && apt-get clean     && rm -rf /var/lib/apt/lists/*         && gcc --version     && g++ --version
                        
# 2024-05-08 03:46:20  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive LANGUAGE=en_US:en LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8
                        
# 2024-04-27 22:32:33  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-27 22:32:33  69.24MB 
/bin/sh -c #(nop) ADD file:18035d0a8c59e3306bad4219c71a52b03397fc8f231baf7f676287c73024d85c in / 
                        
# 2024-04-27 22:32:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-27 22:32:22  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-27 22:32:22  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-27 22:32:22  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:48d8c1f46455baca43e3912857fd3a3594d9b33a3a169e0cdb226936526ae9ba",
    "RepoTags": [
        "dustynv/jetson-inference:r36.3.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference:r36.3.0-linuxarm64"
    ],
    "RepoDigests": [
        "dustynv/jetson-inference@sha256:e00fd46a0465e5a8661e4ebf9580075a1fcaaa8e55a7cd2283f498f97037408f",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dustynv/jetson-inference@sha256:913781a52767f6403ccdf2648288f673c811101d50c0d8a5e5d35805b5265af4"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2024-06-20T17:46:48.435101507Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "26.1.1",
    "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",
            "DEBIAN_FRONTEND=noninteractive",
            "LANGUAGE=en_US:en",
            "LANG=en_US.UTF-8",
            "LC_ALL=en_US.UTF-8",
            "CUDA_HOME=/usr/local/cuda",
            "NVCC_PATH=/usr/local/cuda/bin/nvcc",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=all",
            "CUDAARCHS=87",
            "CUDA_ARCHITECTURES=87",
            "CUDNN_LIB_PATH=/usr/lib/aarch64-linux-gnu",
            "CUDNN_LIB_INCLUDE_PATH=/usr/include",
            "CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc",
            "CUDA_NVCC_EXECUTABLE=/usr/local/cuda/bin/nvcc",
            "CUDACXX=/usr/local/cuda/bin/nvcc",
            "TORCH_NVCC_FLAGS=-Xfatbin -compress-all",
            "CUDA_BIN_PATH=/usr/local/cuda/bin",
            "CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat:/usr/local/cuda/lib64:",
            "TAR_INDEX_URL=http://jetson.webredirect.org:8000/jp6/cu122",
            "PIP_INDEX_URL=http://jetson.webredirect.org/jp6/cu122",
            "PIP_TRUSTED_HOST=jetson.webredirect.org",
            "TWINE_REPOSITORY_URL=http://jao-51/jp6/cu122",
            "TWINE_USERNAME=jp6",
            "TWINE_PASSWORD=NvidiaJetson24",
            "SCP_UPLOAD_URL=jao-51:/dist/jp6/cu122",
            "SCP_UPLOAD_USER=nvidia",
            "SCP_UPLOAD_PASS=nvidia",
            "PYTHON_VERSION=3.10",
            "PIP_DISABLE_PIP_VERSION_CHECK=on",
            "PIP_DEFAULT_TIMEOUT=100",
            "PYTHONFAULTHANDLER=1",
            "PYTHONUNBUFFERED=1",
            "PYTHONIOENCODING=utf-8",
            "PYTHONHASHSEED=random",
            "PIP_NO_CACHE_DIR=off",
            "PIP_CACHE_PURGE=true",
            "PIP_ROOT_USER_ACTION=ignore",
            "TWINE_NON_INTERACTIVE=1",
            "OPENBLAS_CORETYPE=ARMV8",
            "TORCH_CUDA_ARCH_LIST=8.7",
            "TORCH_HOME=/data/models/torch",
            "OPENCV_VERSION=4.8.1",
            "OPENCV_URL=",
            "LD_PRELOAD=/lib/aarch64-linux-gnu/libGLdispatch.so.0:"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "sha256:70957ec1e041a420cc90ed564fb067f23e1bcbd9c43def433bef63e222f8c78d",
        "Volumes": null,
        "WorkingDir": "/",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "arm64",
    "Variant": "v8",
    "Os": "linux",
    "Size": 14810439869,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/a220b5ffc98473c0288a489a42f1c1b7c25cb5cc5b9d5bfb01f9a139009da638/diff:/var/lib/docker/overlay2/a89c40e96e8b4cf46445f450ac19709350a7548bf58fc22125d9c29f366e566f/diff:/var/lib/docker/overlay2/60b5057b162cf95628db88b566bbe54c422c86bc58dd2d9a048d37e36dc48d01/diff:/var/lib/docker/overlay2/272616fc7a0d0ec6d44c2c5493e27bb01ad7b857d2e4d441d22574dfb507cbd1/diff:/var/lib/docker/overlay2/3100724dda7c1d64f380196ec097b228c7724102b93916dccb44d1e1c4d3c693/diff:/var/lib/docker/overlay2/2536cbf50732ef4202015b7b6aab60c3333724e0a681c00c5b2cc587a7c3e0d6/diff:/var/lib/docker/overlay2/c2145a6d1464caaeaee970b7d7a6e02b7d19693f54c640d73464d7410faefe6e/diff:/var/lib/docker/overlay2/30682a64492a594298af5cd576ee1b30fb197960edf9bb2044c2b75e896b2741/diff:/var/lib/docker/overlay2/a44f358a2945bb09ae3f43645bcf2a029fd81efd20670a60b11934b94f410aba/diff:/var/lib/docker/overlay2/0684bef05a3f193726a9270a564085433653d9e3d39934d566ff49097ee45cf5/diff:/var/lib/docker/overlay2/1a19b1ed3a248cc7b81249a861127a4f8e6d673c6c395fcf62f964a2a3a9acdc/diff:/var/lib/docker/overlay2/9422e6055a12d67c839c3e9dc248267447df3b0fb3b25249074c8b32b30209be/diff:/var/lib/docker/overlay2/64759a859abd0f391e74793ed7927d9e61dde754b875508f480dfb7b8ed0c288/diff:/var/lib/docker/overlay2/e7225bfae465eecdb649144d8a653c8e500411d9c58d38c83e4f0fa3f7d999b0/diff:/var/lib/docker/overlay2/c11286ae81571ea3dfaed39583f5229b98cf0b17f0b607c43d900f574e24b317/diff:/var/lib/docker/overlay2/2f372b2e638be39ce86c53a3ad1c4ee55b12c3e7d2241796a044997c7febd2d2/diff:/var/lib/docker/overlay2/525936eca2395911cb42799d954709fbc9f1565768f880f6ea92b9b3acc379be/diff:/var/lib/docker/overlay2/7466937952b973d538e79aa25596a6f670b9293d243c09019513ce72ef28a3ea/diff:/var/lib/docker/overlay2/c55f18e3a107fa6073e85f9db48a007913e4073b1575e839d45d329118610431/diff:/var/lib/docker/overlay2/8f7e350889a54ccfa2ab582eeac530edb1f8a0bdaf0c3cd794b18b7ddf2e0f2b/diff:/var/lib/docker/overlay2/b4e92f45561392f76e31d2970c6ef752980ad06b8b31682c032355d1d5066aa8/diff:/var/lib/docker/overlay2/3574d8590727cb66a6181320678aa00fccadb87ec3d0920791e0532e4e82fa06/diff:/var/lib/docker/overlay2/21bdea6fa14a087f4e1c1236e1923b67e6ec33abd579649f69367ffa8b8061e8/diff:/var/lib/docker/overlay2/835338492d6c10c518aceb86a041d063badffe3eea93b12c0449e1733d91d6f8/diff",
            "MergedDir": "/var/lib/docker/overlay2/28b2cf611ddcec80d8a8330544ae28b6a15a0a3b30e7db5793784d46b5cdeef6/merged",
            "UpperDir": "/var/lib/docker/overlay2/28b2cf611ddcec80d8a8330544ae28b6a15a0a3b30e7db5793784d46b5cdeef6/diff",
            "WorkDir": "/var/lib/docker/overlay2/28b2cf611ddcec80d8a8330544ae28b6a15a0a3b30e7db5793784d46b5cdeef6/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:842bef16b8fb80459504b4621523ac3d78faf7e01d6d9fa7076ed6d4a8f49830",
            "sha256:86b7ff3b884abd27af951d11491d02ca662af1d309846532010e1485925af846",
            "sha256:db9830a15a2fb8c6c6ecc4088e8000a50cf42225c5ba5f1ae109db387b0da2c2",
            "sha256:37e833e7ead1b7b67fc0763d36bdd23a907023b0afe3e399dab9c7b2b46bba7f",
            "sha256:91f3c0e88a7aa8917608d932e2807e401cb6308bbec9512e4c9204c17c242667",
            "sha256:d4c7de605c6da0b2a0079097c3ca92db70286fd0e1ec89c00b84606eaaf4aa4c",
            "sha256:ac1294e928d55be22611da321d1e4d5d859c2fe168985bc6e8faccd77e1af56d",
            "sha256:4a5b7e92b7f345e08f520fbf19c92eb746a129f0d24da51d9bb9666c76ced48c",
            "sha256:51541ec10c097466b8dd06e131a170514d5a35f44362e0bc87d82b01ecd3717b",
            "sha256:30bab82fac3a3504f61db4153fb862be09ac3c8165d60e86469e47a472ce1c5f",
            "sha256:2dc3d32727638081acefbe193ed8dc0e2cc2ed67d063d04903c33f4b4d5b563e",
            "sha256:6d1f7ff05be255db58e58eb86f014e2f67b6aa253ff2c14f5cf5ffcd606b065d",
            "sha256:18aa110421655755e3109f013209696a9a53d5af5bf067b08a33889d1147ef8b",
            "sha256:74fb8f48fec4a3f9ee94587c5a075819b8a5aa8ff135e631e02c628e4f22cf0c",
            "sha256:43500bdb8f3be4bd390c172a147e6b9acdf9a19aa585e472cbbbbd4462b2884b",
            "sha256:3ce295e21285cf3a23f680cbf1f36042ee1673e731b13b7ccaa1fa011bfdc45f",
            "sha256:167e45618fba2002c3b2808ee12b3171b53e0accb5b646a82cd1034b2bae77dd",
            "sha256:ee344b9e0e678d11b84769b1c8145b0e3724eeb2745cad2c87fbdef8666f442b",
            "sha256:b4d2185440e3e6bc6f1036c21e9a1a4c5925040c40b286f281026bda50378409",
            "sha256:ae3c5af3d3ec35194978e612437d8a59b3c377beb0b344f680ab2124bd2ee3f3",
            "sha256:06d7c4f17b5367611795856eb24d021eca72c12ece58ee6cc0028c503fb3646e",
            "sha256:47c3c889f784407836bb502922ccf2cedf8a01d1f5742fb6534d24a89a202481",
            "sha256:86fb260027b23f69e15bed4641ec08c0df1072bfe445578a0872e23ad953efd8",
            "sha256:b57cb185a714e8d390fb1f641ea4a83f7e885771b674950bd36bfe9e5d0318dc",
            "sha256:f180629584860a18b5b1bb458a3a8d9212e1b3ddaece920077213f62457ebac3"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-04-24T00:32:51.941140422+08:00"
    }
}

更多版本

docker.io/dustynv/jetson-inference:r36.3.0

linux/arm64 docker.io14.81GB2026-04-24 00:56
8