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

docker.io/ultralytics/ultralytics:latest - 国内下载镜像源 浏览次数:97

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

Yolov7 基于Darknet的YOLOv7检测模型 docker.io/ultralytics/ultralytics
源镜像 docker.io/ultralytics/ultralytics:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ultralytics/ultralytics:latest
镜像ID sha256:be6134ca6c60c2634559e0930d1f2966c6f4600f71cc565614fae012c6e28707
镜像TAG latest
大小 11.15GB
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 97 次
贡献者
镜像创建 2025-03-14T13:53:15.780564441Z
同步时间 2025-03-15 01:09
更新时间 2025-04-01 16:41
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 无权限下载?点我修复

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

Containerd拉取命令

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

Shell快速替换命令

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

镜像构建历史


# 2025-03-14 21:53:15  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
                        
# 2025-03-14 21:53:15  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
                        
# 2025-03-14 21:53:13  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
                        
# 2025-03-14 21:53:05  391.09MB 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
                        
# 2025-03-14 21:52:12  3.45GB 执行命令并创建新的镜像层
RUN /bin/sh -c uv pip install --system -e ".[export]" "albumentations>=1.4.6" comet pycocotools # buildkit
                        
# 2025-03-14 21:51:50  39.77MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install uv # buildkit
                        
# 2025-03-14 21:51:49  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
                        
# 2025-03-14 21:51:49  278.00B 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
                        
# 2025-03-14 21:51:49  39.79MB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-03-14 21:51:49  0.00B 设置工作目录为/ultralytics
WORKDIR /ultralytics
                        
# 2025-03-14 21:51:49  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
                        
# 2025-03-14 21:51:48  497.18MB 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
                        
# 2025-03-14 21:51:32  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
                        
# 2025-03-14 21:51:32  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

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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-14T13:53:15.780564441Z",
    "Container": "",
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    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "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"
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        "Image": "",
        "Volumes": null,
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        "Labels": {
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            "org.opencontainers.image.description": "Ultralytics image",
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            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.source": "https://github.com/ultralytics/ultralytics",
            "org.opencontainers.image.version": "22.04"
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    "Os": "linux",
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}

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