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README
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如果项目对你有用或者喜欢,那就点个赞★ 。谢谢!

介绍


PaddleOCRSharp 是一个基于百度飞桨PaddleOCR的开源代码修改并优化的.NET版本OCR可离线使用类库。项目核心组件PaddleOCR.dll,由C++编写,根据百度飞桨PaddleOCR的C++代码修改并优化而成。目前已经支持C++、.NET、Python、Golang、Rust等众多开发语言的直接API接口调用。项目包含文本识别、文本检测、表格识别功能。本项目针对小图识别不准的情况下做了优化,同时做了其他优化,比飞桨原代码识别准确率有所提高,速度更快。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。同时支持中英文、纯英文以及多种语言文本检测识别。

PaddleOCRSharp封装极其简化,实际调用仅几行代码,极大的方便了中下游开发者的使用和降低了PaddleOCR的使用入门级别,同时提供不同的.NET框架使用,方便各个行业应用开发与部署。Nuget包即装即用,可以离线部署,不需要网络就可以识别的高精度中英文OCR。

本项目支持官方所有公开的通用OCR模型,PPOCRV2、PPOCRV3、PPOCRV4。 如果使用v2模型,请设置OCR识别参数OCRParameter对象的属性rec_img_h=32 ,最新版本默认使用V4模型,默认rec_img_h=48

本项目只能在X64的CPU上编译和使用,只能在avx指令集上的CPU上使用。 跨平台linux已经在测试中,目前已经支持统信UOS、麒麟、乌班图操作系统。

本项目目前支持以下.NET框架:

net35;net40;net45;net451;net452;net46;net461;net462;net47;net471;net472;net48;net481;
netstandard2.0;netcoreapp3.1;
net5.0;net6.0;net7.0;net8.0

特点

★ $\color{#0000FF}{高度集成}$:PaddleOCRSharp将百度飞桨PaddleOCR的核心功能完美集成到.NET平台,让开发者无需关心底层实现,只需调用相应接口即可实现OCR功能。

★ $\color{#0000FF}{性能卓越}$:得益于百度飞桨PaddleOCR的高效算法和C++代码的优化,PaddleOCRSharp在保持高度集成的同时,也保证了卓越的性能表现。

★ $\color{#0000FF}{易于使用}$:PaddleOCRSharp提供了丰富的API接口和详细的文档说明,让开发者能够轻松上手,快速实现OCR功能。

★ $\color{#0000FF}{扩展性强}$:PaddleOCRSharp支持自定义模型加载和训练,开发者可以根据自己的需求进行模型扩展和优化。

★ $\color{#FF0000}{离线免费}$:PaddleOCRSharp支持离线绿色部署,无其他依赖需要安装,关键普通版还免费,满足了众多开发者的福音。

应用场景

PaddleOCRSharp适用于各种需要OCR技术的.NET开发场景,如文档数字化处理、自动识别表单数据、车牌识别等。无论是企业级应用还是个人开发者,PaddleOCRSharp都能提供强大的OCR支持。

如何使用

本项目提供了两个SDK,一个是C++版本,一个是.net版本,.net版本是对C++版本的二次封装,其他语言开发亦是调用C++版本。同时也提供了Go、Python、C++的调用示例代码

1.文件夹结构

PaddleOCRSharp      //该文件夹包含.NET对PaddleOCR封装类库项目
Demo                //该文件夹包含OCR示例Demo文件夹
|--Cpp              //C++调用示例项目
|--CSharp           //.NET调用示例项目
|--python           //python调用示例项目
|--Go               ///Golang调用示例项目

2. .NET版编译

.NET版编译

使用与部署


1. C++使用PaddleOCR

2. .NET使用PaddleOCRSharp

3. python使用PaddleOCR

4. Go使用PaddleOCR

5. Rust使用PaddleOCR

OCR模型


OCR识别模型库支持官方所有的模型,也支持自己训练的模型。完全按照飞桨OCR接口搭桥。 本项目部署自带的一种轻量版8.6M模型库、服务器版模型库(更准确,需要自行下载),可以自行更改模型库适用实际需求。

模型名称 模型大小 下载地址 备注
ch_PP-OCRv2 10M 中英文轻量v2
en_PP-OCRv2 4M 英文数字v2
ch_PP-OCRv3 12M 中英文轻量v3
en_PP-OCRv3 10M 英文数字v3
ch_PP-OCRv4 14M 中英文轻量v4
en_PP-OCRv4 12M 英文数字v4

更多PaddleOCR模型可以去飞将官方下载

如果需要修改成服务器版模型库,参考代码如下:(假设服务器版模型库在运行目录的文件夹inferenceserver下)


 //自带轻量版中英文模型PP-OCRv4
  OCRModelConfig config = null;

 //服务器中英文模型v2
 OCRModelConfig config = new OCRModelConfig();
 string modelPathroot = "你的模型绝对路径文件夹";
 config.det_infer = modelPathroot + @"\ch_ppocr_server_v2.0_det_infer";
 config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
 config.rec_infer = modelPathroot + @"\ch_ppocr_server_v2.0_rec_infer";
 config.keys = modelPathroot + @"\ppocr_keys.txt";

 //英文和数字模型v3
 OCRModelConfig config = new OCRModelConfig();
string modelPathroot = "你的模型绝对路径文件夹";
config.det_infer = modelPathroot + @"\en_PP-OCRv3_det_infer";
config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
config.rec_infer = modelPathroot + @"\en_PP-OCRv3_rec_infer";
config.keys = modelPathroot + @"\en_dict.txt";

  //中英文模型V4
  config = new OCRModelConfig();
   string modelPathroot = "你的模型绝对路径文件夹";
  config.det_infer = modelPathroot + @"\ch_PP-OCRv4_det_infer";
  config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
  config.rec_infer = modelPathroot + @"\ch_PP-OCRv4_rec_infer";
  config.keys = modelPathroot + @"\ppocr_keys.txt";

  //服务器中英文模型V4
   config = new OCRModelConfig();
   string modelPathroot = "你的模型绝对路径文件夹";
   config.det_infer = modelPathroot + @"\ch_PP-OCRv4_det_server_infer";
   config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
   config.rec_infer = modelPathroot + @"\ch_PP-OCRv4_rec_server_infer";
   config.keys = modelPathroot + @"\ppocr_keys.txt";

常见问题与解决方案

常见问题与解决方案

技术交流方式


QQ技术交流群:318860399

微信公众号:明月心技术学堂。

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个人博客地址: https://www.cnblogs.com/raoyutian/


定制开发QQ:277784829


致谢

  • 感谢ZHao提供Rust版本。

如果您在工作中受益于该项目,请考虑下支持我的工作。

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简介

PaddleOCRSarp是一个基于百度飞桨PaddleOCR的C++代码修改并封装的.NET的OCR工具本地类库,可离线使用。包含文本识别、文本检测、表格识别功能。本项目针对小图识别不准的情况下做了优化,比飞桨原代码识别准确率有所提高。 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。 展开 收起
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