docker.io/ultralytics/ultralytics:8.3.73 linux/amd64

docker.io/ultralytics/ultralytics:8.3.73 - 国内下载镜像源 浏览次数:11
Yolov7 基于Darknet的YOLOv7检测模型 docker.io/ultralytics/ultralytics
源镜像 docker.io/ultralytics/ultralytics:8.3.73
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73
镜像ID sha256:33a1379acedf614958fe5130bf09499edd53f9289813de01e290395a4f653b40
镜像TAG 8.3.73
大小 11.08GB
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 /ultralytics
OS/平台 linux/amd64
浏览量 11 次
贡献者 16*******5@qq.com
镜像创建 2025-02-07T10:06:29.247547819Z
同步时间 2025-08-29 03:22
更新时间 2025-08-29 13:11
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PYTORCH_VERSION=2.5.1 PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1 PIP_NO_CACHE_DIR=1 PIP_BREAK_SYSTEM_PACKAGES=1 MKL_THREADING_LAYER=GNU OMP_NUM_THREADS=1
镜像标签
nvidia_driver: com.nvidia.volumes.needed Ultralytics image: org.opencontainers.image.description AGPL-3.0-or-later: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name https://github.com/ultralytics/ultralytics: org.opencontainers.image.source 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73  docker.io/ultralytics/ultralytics:8.3.73

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73  docker.io/ultralytics/ultralytics:8.3.73

Shell快速替换命令

sed -i 's#ultralytics/ultralytics:8.3.73#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73#' 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/ultralytics/ultralytics:8.3.73 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73  docker.io/ultralytics/ultralytics:8.3.73'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73  docker.io/ultralytics/ultralytics:8.3.73'

镜像构建历史


# 2025-02-07 18:06:29  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c rm -rf tmp /root/.config/Ultralytics/persistent_cache.json # buildkit
                        
# 2025-02-07 18:06:29  60.07MB 执行命令并创建新的镜像层
RUN /bin/sh -c uv pip install --system numpy==1.23.5 # buildkit
                        
# 2025-02-07 18:06:28  455.07MB 执行命令并创建新的镜像层
RUN /bin/sh -c uv pip install --system "paddlepaddle>=2.6.0" x2paddle # buildkit
                        
# 2025-02-07 18:06:25  109.94MB 执行命令并创建新的镜像层
RUN /bin/sh -c yolo export model=tmp/yolo11n.pt format=ncnn imgsz=32 # buildkit
                        
# 2025-02-07 18:06:18  382.15MB 执行命令并创建新的镜像层
RUN /bin/sh -c yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32 || yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32 # buildkit
                        
# 2025-02-07 18:05:25  3.33GB 执行命令并创建新的镜像层
RUN /bin/sh -c uv pip install --system -e ".[export]" tensorrt-cu12 "albumentations>=1.4.6" comet pycocotools # buildkit
                        
# 2025-02-07 18:04:18  39.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install uv # buildkit
                        
# 2025-02-07 18:04:17  5.61MB 复制文件或目录到容器中
ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt . # buildkit
                        
# 2025-02-07 18:04:17  300.00B 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config # buildkit
                        
# 2025-02-07 18:04:17  37.85MB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-02-07 18:04:16  0.00B 设置工作目录为/ultralytics
WORKDIR /ultralytics
                        
# 2025-02-07 18:04:16  7.30KB 执行命令并创建新的镜像层
RUN /bin/sh -c apt upgrade --no-install-recommends -y openssl tar # buildkit
                        
# 2025-02-07 18:04:16  497.17MB 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     gcc git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0 libsm6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-02-07 18:04:03  24.05MB 复制文件或目录到容器中
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf /root/.config/Ultralytics/ # buildkit
                        
# 2025-02-07 18:04:03  0.00B 设置环境变量 PYTHONUNBUFFERED PYTHONDONTWRITEBYTECODE PIP_NO_CACHE_DIR PIP_BREAK_SYSTEM_PACKAGES MKL_THREADING_LAYER OMP_NUM_THREADS
ENV PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1 PIP_NO_CACHE_DIR=1 PIP_BREAK_SYSTEM_PACKAGES=1 MKL_THREADING_LAYER=GNU OMP_NUM_THREADS=1
                        
# 2024-10-30 02:04:54  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-10-30 02:04:54  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.5.1
                        
# 2024-10-30 02:04:54  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-10-30 02:04:54  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-10-30 02:04:54  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-10-30 02:04:54  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-10-30 02:04:54  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-10-30 02:04:54  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.5.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc;         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2024-10-30 02:04:54  6.03GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2024-10-30 02:00:31  25.99MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.5.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-10-30 02:00:31  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2024-10-30 02:00:31  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2024-10-30 02:00:31  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2024-10-30 02:00:31  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2024-10-30 02:00:31  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.5.1
                        
# 2024-09-12 00:25:18  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-09-12 00:25:17  77.86MB 
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in / 
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:33a1379acedf614958fe5130bf09499edd53f9289813de01e290395a4f653b40",
    "RepoTags": [
        "ultralytics/ultralytics:8.3.73",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:8.3.73"
    ],
    "RepoDigests": [
        "ultralytics/ultralytics@sha256:474ca2b26ffd4f6ade82e7ab1b7e86a62d51175bbc8e705bd5a6dd79d338737b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics@sha256:474ca2b26ffd4f6ade82e7ab1b7e86a62d51175bbc8e705bd5a6dd79d338737b"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-02-07T10:06:29.247547819Z",
    "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/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "PYTORCH_VERSION=2.5.1",
            "PYTHONUNBUFFERED=1",
            "PYTHONDONTWRITEBYTECODE=1",
            "PIP_NO_CACHE_DIR=1",
            "PIP_BREAK_SYSTEM_PACKAGES=1",
            "MKL_THREADING_LAYER=GNU",
            "OMP_NUM_THREADS=1"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/ultralytics",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.description": "Ultralytics image",
            "org.opencontainers.image.licenses": "AGPL-3.0-or-later",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.source": "https://github.com/ultralytics/ultralytics",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 11078066541,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/146680a1aeae247a82b702c6768cd41bb251dfad3c5e53b15a80f31e74de7b7d/diff:/var/lib/docker/overlay2/b12f5fbc2187ef83d693a8ba54d01200f4c43bf84f6ce75f07319d9ffb469249/diff:/var/lib/docker/overlay2/7cee983de7625b66cbc99d3da4cad0d7ce46dba387a38fae9bbe01e75985ce39/diff:/var/lib/docker/overlay2/7deb24688c6b60f16b7d444838451e9e2e102a75d33a2b71d793f42257e51b9d/diff:/var/lib/docker/overlay2/f6e654da53c956c8a7cf5c735484053c11933079d7f42cd438d7e7618fb6eb77/diff:/var/lib/docker/overlay2/91085cc4cd51e7dfbe45f2041a577ec3c58f57bd36b94a971c0b5b4b7e549b97/diff:/var/lib/docker/overlay2/c37a09cadeea51faf863683abf7c6cc44751f028aeb985368734a0f2fec91701/diff:/var/lib/docker/overlay2/f8aaf1df95f7dcc54c4a06122d5121b3849c9d05cc89d91e63bfcef47bb488e7/diff:/var/lib/docker/overlay2/5558d890639419c2f39438bd6c8e9a0e6e3b49061296472b11bd32fd84d920fb/diff:/var/lib/docker/overlay2/25d61d64d9686cbd29d1d4af4eefda195d23e57a07380a9746e25673a79676d8/diff:/var/lib/docker/overlay2/82a90b0ade3b86755a0a4009c9d99bdd8b0ce7ba382253d95690578a8d4210f4/diff:/var/lib/docker/overlay2/28d523f93a2f7c4c775365e8c3c145cfc6b6ef9dc5da21e2929f04b899cde6e8/diff:/var/lib/docker/overlay2/354945f03bfe546adaa5b63c8537f8290285adffa693246475d5208b6dfa6099/diff:/var/lib/docker/overlay2/19580a5516992c5dff32e4d534a58ef5b09d5f0887f81ae990ba3b1881807676/diff:/var/lib/docker/overlay2/f7c9f97c956716faaf94655b91b5fc7f56f4ad212d768bae4af8d15787f82a38/diff:/var/lib/docker/overlay2/e875a7c73d4e4fb01375a0ade788687b6eb545ec4b690a99bdcfcd9837602dfa/diff:/var/lib/docker/overlay2/be075415366cf76f6df27a179462afa299879fe76d24f4f02258fffeb12d498f/diff:/var/lib/docker/overlay2/4cfb2ff6eb670d08d805fcc326973c76acabc424b2f6ce5f1903149f34750452/diff",
            "MergedDir": "/var/lib/docker/overlay2/197e81bb311a74f0e6b1d609cbfd9039dc7d3fb502343ba768b0f5a64b8d3018/merged",
            "UpperDir": "/var/lib/docker/overlay2/197e81bb311a74f0e6b1d609cbfd9039dc7d3fb502343ba768b0f5a64b8d3018/diff",
            "WorkDir": "/var/lib/docker/overlay2/197e81bb311a74f0e6b1d609cbfd9039dc7d3fb502343ba768b0f5a64b8d3018/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:2573e0d8158209ed54ab25c87bcdcb00bd3d2539246960a3d592a1c599d70465",
            "sha256:4f13a915e11d26ce399e291f73ad666f176caddded6d90b7fb966db69d81bfde",
            "sha256:ab6422ad52285d8ee4e7f985d118a0abf4b14e5156aa7960ba40bddc5916b56e",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:8d84350553f45c546fa42fd2a6e589b2c4336b2675b05b9b01a09668b28486ca",
            "sha256:8811c212bfcfdbb4411e6b3f6ebd3ac053000b1397ab6e84e4f040626c5418a5",
            "sha256:97bc2183d316bdaa14c9af73bd8baf9e9226b6cc4f97bbf5e0d241e1325f0583",
            "sha256:07166abd44849b78cd789fbbfb01f6fa6b0e4ec3f21698e58928fc77b50aa0e6",
            "sha256:e8abfef86c931e2ad6fdcf77ca385aa5de677aa6a2f7ac067609c7c227c1e8d5",
            "sha256:bf998b0060ac419d86871a11e5daf079f04569626f2688bc8bed9c0a2963f297",
            "sha256:13403b9b7c5f45cb39f1d36aa87e88bee46c26198b49b51ff6a975e9ffcacc3e",
            "sha256:9139d6007e3f9cc64e403c1ce0f4c96aa69e352cb2ba67e0bf7b0e419f87520f",
            "sha256:07781ac07e0c6fe9342bdc50e34874a945b92dbc2f4bc3f204b997b89655464e",
            "sha256:1365e25817de810c2fb6741d8b40c4f77a720bb9635fcf4e9f008dba39f52be5",
            "sha256:57d694e2c91950bbaf49b699cad684acd84272ca96d56e157f50e8be1b884e9d",
            "sha256:c53a4ec7f4619568122e61de3efef5e95a3877139747557ab6366ca4e7820adb",
            "sha256:476dce5edf5b5fae7cffd1a20f66758c225d1e4699a8b70d839304fd5191dccc",
            "sha256:00a66a67d5a4ee0ab397c844f1c2041b133efa4b240394dd62c1052cd3a5985b",
            "sha256:5c15d7afb87ab630f5a60e65f309d09bcd4e91505cef2a3379039aeb31992888"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-08-29T03:19:04.757142673+08:00"
    }
}

更多版本

docker.io/ultralytics/ultralytics:8.2.95-cpu

linux/amd64 docker.io5.32GB2024-09-19 02:49
412

docker.io/ultralytics/ultralytics:8.3.27-python

linux/amd64 docker.io5.83GB2024-11-06 14:54
338

docker.io/ultralytics/ultralytics:8.2.103-python

linux/amd64 docker.io5.73GB2025-02-20 10:31
256

docker.io/ultralytics/ultralytics:latest-python

linux/amd64 docker.io5.79GB2025-03-15 00:10
396

docker.io/ultralytics/ultralytics:latest

linux/amd64 docker.io11.15GB2025-03-15 01:09
561

docker.io/ultralytics/ultralytics:8.3.96-cpu

linux/amd64 docker.io5.82GB2025-03-27 10:24
148

docker.io/ultralytics/ultralytics:latest-cpu

linux/amd64 docker.io5.86GB2025-03-27 10:59
226

docker.io/ultralytics/ultralytics:8.3.66

linux/amd64 docker.io11.09GB2025-04-23 00:43
164

docker.io/ultralytics/ultralytics:8.2.0

linux/amd64 docker.io13.87GB2025-04-30 00:36
207

docker.io/ultralytics/ultralytics:8.0.228

linux/amd64 docker.io13.97GB2025-08-29 00:46
11

docker.io/ultralytics/ultralytics:8.3.73

linux/amd64 docker.io11.08GB2025-08-29 03:22
10