docker.io/dkpayne/omniparser:latest linux/amd64

Docker拉取命令

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

Containerd拉取命令

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

Shell快速替换命令

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

镜像构建历史

# 2024-11-04 14:48:40  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/entrypoint.sh"]
                        
# 2024-11-04 14:48:40  188.00B 执行命令并创建新的镜像层
RUN /bin/sh -c echo '#!/bin/bash\nulimit -n 1048576\nsysctl -w fs.file-max=1048576 fs.inotify.max_user_watches=524288 fs.inotify.max_user_instances=512 vm.max_map_count=262144 || true\nexec python3 -u handler.py' > /entrypoint.sh &&     chmod +x /entrypoint.sh # buildkit
                        
# 2024-11-04 14:47:35  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl -f http://localhost:8080/health || exit 1"] "30s" "45s" "10s" "0s" '\x03'}
                        
# 2024-11-04 14:47:35  0.00B 声明容器运行时监听的端口
EXPOSE map[8080/tcp:{}]
                        
# 2024-11-04 14:47:35  1.10GB 执行命令并创建新的镜像层
RUN /bin/sh -c ulimit -n 1048576 || true &&     mkdir -p /omniparser_server/.cache/torch &&     python3 -c "import torch; torch.hub.set_dir('/omniparser_server/.cache/torch')" &&     python3 init_models.py # buildkit
                        
# 2024-11-04 14:47:35  0.00B 设置环境变量 PYTHONUNBUFFERED CUDA_VISIBLE_DEVICES PORT PYTHONPATH TORCH_HOME XDG_CACHE_HOME
ENV PYTHONUNBUFFERED=1 CUDA_VISIBLE_DEVICES=0 PORT=8080 PYTHONPATH=/omniparser_server:/omniparser_server/.cache TORCH_HOME=/omniparser_server/.cache/torch XDG_CACHE_HOME=/omniparser_server/.cache
                        
# 2024-11-04 14:45:29  6.37MB 复制新文件或目录到容器中
COPY best.pt handler.py utils.py init_models.py ./ # buildkit
                        
# 2024-11-04 14:44:20  6.11MB 复制新文件或目录到容器中
COPY icon_detect/ /omniparser_server/icon_detect/ # buildkit
                        
# 2024-11-04 14:43:14  1.08GB 复制新文件或目录到容器中
COPY icon_caption_florence/ /omniparser_server/icon_caption_florence/ # buildkit
                        
# 2024-11-04 14:42:10  98.30MB 复制新文件或目录到容器中
COPY models/ /omniparser_server/models/ # buildkit
                        
# 2024-11-04 14:41:06  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p     /omniparser_server/models     /omniparser_server/icon_detect     /omniparser_server/icon_caption_florence     /omniparser_server/.cache     /tmp/model_cache # buildkit
                        
# 2024-11-04 14:40:02  803.19MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --no-cache-dir --upgrade pip &&     pip3 install --no-cache-dir --timeout 100 torch torchvision &&     pip3 install --no-cache-dir --timeout 100 ultralytics pillow &&     pip3 install --no-cache-dir --timeout 100 -r requirements.txt # buildkit
                        
# 2024-11-04 14:38:04  159.00B 复制新文件或目录到容器中
COPY requirements.txt ./ # buildkit
                        
# 2024-11-04 14:37:16  159.66MB 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         python3-pip         python3         libgl1-mesa-glx         libglib2.0-0         libsm6         libxext6         libxrender-dev         curl         procps &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-04 14:36:08  6.52KB 执行命令并创建新的镜像层
RUN /bin/sh -c echo "* soft nofile 1048576" >> /etc/security/limits.conf &&     echo "* hard nofile 1048576" >> /etc/security/limits.conf &&     echo "root soft nofile 1048576" >> /etc/security/limits.conf &&     echo "root hard nofile 1048576" >> /etc/security/limits.conf &&     echo "session required pam_limits.so" >> /etc/pam.d/common-session &&     echo "fs.file-max = 1048576" >> /etc/sysctl.conf &&     echo "fs.inotify.max_user_watches = 524288" >> /etc/sysctl.conf &&     echo "fs.inotify.max_user_instances = 512" >> /etc/sysctl.conf &&     echo "vm.max_map_count = 262144" >> /etc/sysctl.conf # buildkit
                        
# 2024-11-04 14:35:20  0.00B 设置工作目录为/omniparser_server
WORKDIR /omniparser_server
                        
# 2023-03-21 02:14:39  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=v2.0.0
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-03-21 02:14:39  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
                        
# 2023-03-21 02:14:39  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=v2.0.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.7.0 /bin/sh -c rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-03-21 02:14:38  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=v2.0.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.7.0 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         apt install -y --no-install-recommends gcc;     fi # buildkit
                        
# 2023-03-21 02:14:38  6.30GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2023-03-21 02:09:34  76.63MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=v2.0.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.7.0 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev # buildkit
                        
# 2023-03-21 02:09:34  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG TRITON_VERSION
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG PYTORCH_VERSION
                        
# 2023-03-08 11:22:44  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-03-08 11:22:44  63.15MB 
/bin/sh -c #(nop) ADD file:4560926e076acae6b8396a9f1e760eee0f53e22e90ce8554dda57f1103547795 in / 
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=18.04
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
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