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完全开源免费并支持离线部署的多平台多语言OCR

中文广告: 欢迎加入我们的QQ群下载模型及测试程序,qq群号:887298230

征集志愿者编译集成SDK,请进群找群主联系。

在线演示(online demo): http://rapidocr.51pda.cn:9003/

演示模型组合说明: server det+mobile cls+mobile rec

中文详细说明,请访问: 中文版 Chinese Name: 捷智OCR

本仓库包括

  • 纯c/c++ API 接口,方便移植所有平台 (网盘提供预编译SDK)
  • .NET测试程序  演示在.NET程序中的使用方法
  • Android 测试程序
  • Java 测试程序
  • python 测试程序
  • WEB 演示 基于web的演示代码
  • IOS演示 招贡献者

网盘下载测试SDK及转换好的多语言模型:

Download OCR models or SDK

Linkage :https://pan.baidu.com/s/1UhDrC7iOMWiYaQiHk3acdw 

code:yjgv 

---------------- For English Users ----------------------

Note:

For PC (political correctness ), we changed our name from BaiPiaoOCR to RapidOCR

Special thanks to Channingss@baidu (the owner of project Paddle2Onnx)

Directory structure

Click to see 目录结构

Copyright announcement:

If you use or reference code or code snippet from the repository, please add our url

https://github.com/znsoftm/RapidOCR in your prodouct derived from the repository.

Author:

benjaminwan, znsoftm

All contributors is in the contributor list on the right side of this page.

Description

BaiPiaoOCR means an OCR Engine who is fair-skinned, rich and beautiful from Baidu, it's based on PaddleOCR & OnnxRuntime.

Note: The project is derived from https://github.com/PaddlePaddle/PaddleOCR

We create the project to transfer PaddleOCR's model into the version of Onnx model to deploy the model on almost every devices, such as x86 PC, Android & IOS.

We are using Paddle2ONNX (https://github.com/PaddlePaddle/Paddle2ONNX) to transform it to Onnx format.

You can visualize the model by https://github.com/lutzroeder/netron/

Welcome to our Group on QQ: 887298230 or visit: https://jq.qq.com/?_wv=1027&k=P9b3olx6 to join us.

Download OCR models or SDK

Linkage :https://pan.baidu.com/s/1UhDrC7iOMWiYaQiHk3acdw 

code:yjgv 

Also you can download demonstration APPs and their projects from our baidu netdisk with the above link.

Demonstration with C++/JVM

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Demonstration with .Net

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S
Description
RapidOCR - lightweight ONNX OCR
Readme Apache-2.0
74 MiB
0 Stars 1 Watchers 0 Forks
Languages
Python 81.3%
Jupyter Notebook 18.6%
Makefile 0.1%