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README
Apache-2.0

English | 简体中文


简介

PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库,助力使用者训练出更好的模型,并应用落地。

近期更新

  • PaddleOCR研发团队对最新发版内容技术深入解读,9月8日晚上20:15,直播地址
  • 2021.9.7 发布PaddleOCR v2.3,发布PP-OCRv2,CPU推理速度相比于PP-OCR server提升220%;效果相比于PP-OCR mobile 提升7%。(arxiv论文)
  • 2021.8.3 发布PaddleOCR v2.2,新增文档结构分析PP-Structure工具包,支持版面分析与表格识别(含Excel导出)。
  • 2021.6.29 FAQ新增5个高频问题,总数248个,每周一都会更新,欢迎大家持续关注。
  • 2021.4.8 release 2.1版本,新增AAAI 2021论文端到端识别算法PGNet开源,多语言模型支持种类增加到80+。
  • More

特性

  • PP-OCR系列高质量预训练模型,准确的识别效果
    • 超轻量PP-OCRv2系列:检测(3.1M)+ 方向分类器(1.4M)+ 识别(8.5M)= 13.0M
    • 超轻量PP-OCR mobile移动端系列:检测(3.0M)+方向分类器(1.4M)+ 识别(5.0M)= 9.4M
    • 通用PPOCR server系列:检测(47.1M)+方向分类器(1.4M)+ 识别(94.9M)= 143.4M
    • 支持中英文数字组合识别、竖排文本识别、长文本识别
    • 支持多语言识别:韩语、日语、德语、法语
  • 丰富易用的OCR相关工具组件
    • 半自动数据标注工具PPOCRLabel:支持快速高效的数据标注
    • 数据合成工具Style-Text:批量合成大量与目标场景类似的图像
    • 文档分析能力PP-Structure:版面分析与表格识别
  • 支持用户自定义训练,提供丰富的预测推理部署方案
  • 支持PIP快速安装使用
  • 可运行于Linux、Windows、MacOS等多种系统

效果展示

上图是通用PP-OCR server模型效果展示,更多效果图请见效果展示页面

欢迎加入PaddleOCR技术交流群

  • 微信扫描二维码加入官方交流群,获得更高效的问题答疑,与各行各业开发者充分交流,期待您的加入。

快速体验

PP-OCR系列模型列表(更新中)

模型简介 模型名称 推荐场景 检测模型 方向分类器 识别模型
中英文超轻量PP-OCRv2模型(13.0M) ch_PP-OCRv2_xx 移动端&服务器端 推理模型 / 训练模型 推理模型 / 预训练模型 推理模型 / 训练模型
中英文超轻量PP-OCR mobile模型(9.4M) ch_ppocr_mobile_v2.0_xx 移动端&服务器端 推理模型 / 预训练模型 推理模型 / 预训练模型 推理模型 / 预训练模型
中英文通用PP-OCR server模型(143.4M) ch_ppocr_server_v2.0_xx 服务器端 推理模型 / 预训练模型 推理模型 / 预训练模型 推理模型 / 预训练模型

更多模型下载(包括多语言),可以参考PP-OCR 系列模型下载

文档教程

PP-OCRv2 Pipeline

[1] PP-OCR是一个实用的超轻量OCR系统。主要由DB文本检测、检测框矫正和CRNN文本识别三部分组成。该系统从骨干网络选择和调整、预测头部的设计、数据增强、学习率变换策略、正则化参数选择、预训练模型使用以及模型自动裁剪量化8个方面,采用19个有效策略,对各个模块的模型进行效果调优和瘦身(如绿框所示),最终得到整体大小为3.5M的超轻量中英文OCR和2.8M的英文数字OCR。更多细节请参考PP-OCR技术方案 https://arxiv.org/abs/2009.09941

[2] PP-OCRv2在PP-OCR的基础上,进一步在5个方面重点优化,检测模型采用CML协同互学习知识蒸馏策略和CopyPaste数据增广策略;识别模型采用LCNet轻量级骨干网络、UDML 改进知识蒸馏策略和Enhanced CTC loss损失函数改进(如上图红框所示),进一步在推理速度和预测效果上取得明显提升。更多细节请参考PP-OCRv2技术报告

效果展示 more

  • 中文模型
  • 英文模型
  • 其他语言模型

许可证书

本项目的发布受Apache 2.0 license许可认证。

贡献代码

我们非常欢迎你为PaddleOCR贡献代码,也十分感谢你的反馈。

  • 非常感谢 Khanh TranKarl Horky 贡献修改英文文档
  • 非常感谢 zhangxin(Blog) 贡献新的可视化方式、添加.gitignore、处理手动设置PYTHONPATH环境变量的问题
  • 非常感谢 lyl120117 贡献打印网络结构的代码
  • 非常感谢 xiangyubo 贡献手写中文OCR数据集
  • 非常感谢 authorfu 贡献Android和xiadeye 贡献IOS的demo代码
  • 非常感谢 BeyondYourself 给PaddleOCR提了很多非常棒的建议,并简化了PaddleOCR的部分代码风格。
  • 非常感谢 tangmq 给PaddleOCR增加Docker化部署服务,支持快速发布可调用的Restful API服务。
  • 非常感谢 lijinhan 给PaddleOCR增加java SpringBoot 调用OCR Hubserving接口完成对OCR服务化部署的使用。
  • 非常感谢 Mejans 给PaddleOCR增加新语言奥克西坦语Occitan的字典和语料。
  • 非常感谢 EvezerestninetailskimedencfcBeyondYourself1084667371 贡献了PPOCRLabel的完整代码。
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简介

基于飞桨的OCR工具库,包含总模型仅8.6M的超轻量级中文OCR,单模型支持中英文数字组合识别、竖排文本识别、长文本识别。同时支持多种文本检测、文本识别的训练算法。 展开 收起
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