docker.io/huridocs/pdf-document-layout-analysis:v0.0.23 linux/amd64

docker.io/huridocs/pdf-document-layout-analysis:v0.0.23 - 国内下载镜像源 浏览次数:10

这是一个用于PDF文档布局分析的Docker镜像。它包含了必要的工具和库,可以帮助你分析PDF文档的结构,提取文本和图像等信息,并识别页面元素的位置和关系。

源镜像 docker.io/huridocs/pdf-document-layout-analysis:v0.0.23
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23
镜像ID sha256:adc5fe684a1a9a2cd85ecb85dcb7e3f11cf029272fc2bae8b684cfda99319529
镜像TAG v0.0.23
大小 21.23GB
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 /app
OS/平台 linux/amd64
浏览量 10 次
贡献者 wz*n@vip.qq.com
镜像创建 2025-03-13T13:41:45.251873214+03:00
同步时间 2025-07-26 05:48
更新时间 2025-07-27 11:11
环境变量
PATH=/app/.venv/bin:/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=2.4.0 VIRTUAL_ENV=/app/.venv PYTHONPATH=:/app/src TRANSFORMERS_VERBOSITY=error TRANSFORMERS_NO_ADVISORY_WARNINGS=1
镜像标签
pdf-document-layout-analysis: com.docker.compose.project pdf-document-layout-analysis-gpu: com.docker.compose.service 2.33.1: com.docker.compose.version nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23  docker.io/huridocs/pdf-document-layout-analysis:v0.0.23

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23  docker.io/huridocs/pdf-document-layout-analysis:v0.0.23

Shell快速替换命令

sed -i 's#huridocs/pdf-document-layout-analysis:v0.0.23#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23#' 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/huridocs/pdf-document-layout-analysis:v0.0.23 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23  docker.io/huridocs/pdf-document-layout-analysis:v0.0.23'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/huridocs/pdf-document-layout-analysis:v0.0.23  docker.io/huridocs/pdf-document-layout-analysis:v0.0.23'

镜像构建历史


# 2025-03-13 18:41:45  0.00B 设置环境变量 TRANSFORMERS_NO_ADVISORY_WARNINGS
ENV TRANSFORMERS_NO_ADVISORY_WARNINGS=1
                        
# 2025-03-13 18:41:45  0.00B 设置环境变量 TRANSFORMERS_VERBOSITY
ENV TRANSFORMERS_VERBOSITY=error
                        
# 2025-03-13 18:41:45  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=:/app/src
                        
# 2025-03-13 18:41:45  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c python src/download_models.py # buildkit
                        
# 2025-03-13 18:41:44  2.55GB 复制新文件或目录到容器中
COPY ./models/. ./models/ # buildkit
                        
# 2025-03-13 18:41:42  819.56KB 复制新文件或目录到容器中
COPY ./src/. ./src # buildkit
                        
# 2025-03-04 04:40:03  111.00B 复制新文件或目录到容器中
COPY ./start.sh ./start.sh # buildkit
                        
# 2025-03-04 04:40:03  66.88MB 执行命令并创建新的镜像层
RUN /bin/sh -c cd src/detectron2; git checkout 70f454304e1a38378200459dd2dbca0f0f4a5ab4; python setup.py build develop # buildkit
                        
# 2025-03-04 04:39:28  11.42MB 执行命令并创建新的镜像层
RUN /bin/sh -c cd src; git clone https://github.com/facebookresearch/detectron2; # buildkit
                        
# 2025-03-04 04:39:26  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-03-04 04:39:26  8.97GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip --default-timeout=1000 install -r requirements.txt # buildkit
                        
# 2025-03-04 04:37:23  13.49MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --upgrade pip # buildkit
                        
# 2025-03-04 04:37:21  510.00B 复制新文件或目录到容器中
COPY requirements.txt requirements.txt # buildkit
                        
# 2025-03-04 04:37:21  0.00B 设置环境变量 PATH
ENV PATH=/app/.venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-04 04:37:21  22.51MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -m venv $VIRTUAL_ENV # buildkit
                        
# 2025-03-04 04:37:21  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/.venv
                        
# 2025-03-04 04:37:21  0.00B 指定运行容器时使用的用户
USER python
                        
# 2025-03-04 04:37:20  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chown -R python:python /app # buildkit
                        
# 2025-03-04 04:37:19  37.71KB 执行命令并创建新的镜像层
RUN /bin/sh -c addgroup --system python && adduser --system --group python # buildkit
                        
# 2025-03-04 04:37:19  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /app/models # buildkit
                        
# 2025-03-04 04:37:19  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /app/src # buildkit
                        
# 2025-03-04 04:37:19  5.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-ukr # buildkit
                        
# 2025-03-04 04:37:17  6.54MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-tur # buildkit
                        
# 2025-03-04 04:37:15  4.45MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-chi-sim # buildkit
                        
# 2025-03-04 04:37:13  3.05MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-tha # buildkit
                        
# 2025-03-04 04:37:11  5.21MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-tam # buildkit
                        
# 2025-03-04 04:37:09  3.10MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-hin # buildkit
                        
# 2025-03-04 04:37:07  6.61MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-mya # buildkit
                        
# 2025-03-04 04:37:05  3.40MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-ara # buildkit
                        
# 2025-03-04 04:37:03  3.49MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-deu # buildkit
                        
# 2025-03-04 04:37:02  4.25MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-spa # buildkit
                        
# 2025-03-04 04:36:59  3.09MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y tesseract-ocr-fra # buildkit
                        
# 2025-03-04 04:36:58  151.32MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y ocrmypdf # buildkit
                        
# 2025-03-04 04:36:45  808.66MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install --fix-missing -y -q --no-install-recommends libgomp1 ffmpeg libsm6 libxext6 pdftohtml git ninja-build g++ qpdf pandoc # buildkit
                        
# 2025-03-04 04:36:19  59.45MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update # buildkit
                        
# 2024-07-25 02:49:43  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-07-25 02:49:43  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.4.0
                        
# 2024-07-25 02:49:43  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
                        
# 2024-07-25 02:49:43  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-07-25 02:49:43  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-07-25 02:49:43  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-07-25 02:49:43  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
                        
# 2024-07-25 02:49:43  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.4.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.8.0 /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
                        
# 2024-07-25 02:49:42  8.42GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2024-07-25 02:42:19  25.98MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.4.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.8.0 /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
                        
# 2024-07-25 02:42:19  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2024-07-25 02:42:19  0.00B 定义构建参数
ARG CUDA_VERSION=11.8.0
                        
# 2024-07-25 02:42:19  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2024-07-25 02:42:19  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2024-07-25 02:42:19  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.4.0
                        
# 2024-06-28 04:10:12  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-06-28 04:10:12  77.86MB 
/bin/sh -c #(nop) ADD file:d5da92199726e42da09a6f75a778befb607fe3f79e4afaf7ef5188329b26b386 in / 
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-06-28 04:10:10  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/app/.venv/bin:/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=2.4.0",
            "VIRTUAL_ENV=/app/.venv",
            "PYTHONPATH=:/app/src",
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    },
    "Metadata": {
        "LastTagTime": "2025-07-26T05:20:28.549325222+08:00"
    }
}

更多版本

docker.io/huridocs/pdf-document-layout-analysis:v0.0.23

linux/amd64 docker.io21.23GB2025-07-26 05:48
9