update quickstart doc (#6617)
* Update quickstart_en.md Add “Use PaddleOCR with docker” contents. * Update quickstart.md 增加 “使用Docker体验PaddleOCR”内容 * Update quickstart.md fix bugpull/6277/head
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@ -5,6 +5,7 @@
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- [1. 安装](#1)
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- [1.1 安装PaddlePaddle](#11)
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- [1.2 安装PaddleOCR whl包](#12)
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- [1.3 使用Docker体验PaddleOCR](#13)
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- [2. 便捷使用](#2)
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- [2.1 命令行使用](#21)
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- [2.1.1 中英文模型](#211)
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@ -45,6 +46,17 @@ pip install "paddleocr>=2.0.1" # 推荐使用2.0.1+版本
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- 对于Windows环境用户:直接通过pip安装的shapely库可能出现`[winRrror 126] 找不到指定模块的问题`。建议从[这里](https://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely)下载shapely安装包完成安装。
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<a name="13"></a>
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### 1.3 使用Docker体验PaddleOCR
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> 如果您没有Docker运行环境,请参考[Docker官网](https://www.docker.com/)进行安装.
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PaddleOCR提供了带有最新代码的docker镜像供您使用,您只需要**拉取docker镜像**,然后**运行docker镜像**,无需其他任何额外操作,即可开始使用PaddleOCR的所有功能。
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在[Docker Hub](https://hub.docker.com/repository/docker/paddlecloud/paddleocr)中获取这些镜像及相应的使用指南,包括CPU、GPU、ROCm版本。
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如果您对自动化制作docker镜像感兴趣,或有自定义需求,请访问[PaddlePaddle/PaddleCloud](https://github.com/PaddlePaddle/PaddleCloud/tree/main/tekton)做进一步了解。
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<a name="2"></a>
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## 2. 便捷使用
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- [1. Installation](#1-installation)
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- [1.1 Install PaddlePaddle](#11-install-paddlepaddle)
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- [1.2 Install PaddleOCR Whl Package](#12-install-paddleocr-whl-package)
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- [1.3 Use PaddleOCR with Docker](#13-use-paddleocr-with-docker)
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- [2. Easy-to-Use](#2-easy-to-use)
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- [2.1 Use by Command Line](#21-use-by-command-line)
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- [2.1.1 Chinese and English Model](#211-chinese-and-english-model)
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@ -56,6 +57,17 @@ pip install "paddleocr>=2.0.1" # Recommend to use version 2.0.1+
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```bash
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pip3 install -U https://paddleocr.bj.bcebos.com/whl/layoutparser-0.0.0-py3-none-any.whl
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```
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<a name="13-use-paddleocr-with-docker"></a>
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### 1.3 Use PaddleOCR with Docker
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> If you do not have a Docker environment, please refer to [Docker](https://www.docker.com/).
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PaddleOCR provides built docker images with latest code. All you have to do is to **pull the docker image **and **run the docker image**. Then you can enjoy PaddleOCR without any extra action.
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Get these images and guidance in [docker hub](https://hub.docker.com/repository/docker/paddlecloud/paddleocr), including CPU, GPU, ROCm environment versions.
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If you have some customized requirements about automatic building docker images, you can get it in github repo [PaddlePaddle/PaddleCloud](https://github.com/PaddlePaddle/PaddleCloud/tree/main/tekton).
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<a name="2-easy-to-use"></a>
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