RapidOCR

English | Chinese

Contents

• RapidOCR
  • Introduction
  • Recent updates
    • 🍺 2021-06-20 update
    • 2021-06-10 update
    • 2021-06-08 update
    • 2021-03-24 update
  • FAQ
  • SDK compilation status
  • Online demo
  • Directory structure
  • Current Progress
  • Model Conversion
    • Model Conversion Instructions
    • PaddleOCR-FAQ
    • ONNX model download
  • Original initiator and start-up author
  • Authorization
  • Contact us
  • Demo
    • Demonstration with C++/JVM
    • Demonstration with .Net
    • Demonstratioin with multi_language

Introduction

• Completely open source, free and support offline deployment of multi-platform and multi-language OCR SDK

• Chinese Advertising: Welcome to join our QQ group to download the model and test program, QQ group number: 887298230

• Cause: Baidu paddlepaddle engineering is not very good, in order to facilitate everyone to perform OCR reasoning on various terminals, we convert it to onnx format, use ``python/c++/java/swift/c#'' to change It is ported to various platforms.

• Name Source: Light, fast, economical and smart. OCR technology based on deep learning technology focuses on artificial intelligence advantages and small models, with speed as the mission and effect as the leading role.

• Based on Baidu's open source PaddleOCR model and training, anyone can use this inference library, or use Baidu's paddlepaddle framework for model optimization according to their own needs.

Recent updates

🍺 2021-06-20 update

• Optimize the display of recognition results in ocrweb, and add recognition animations to demonstrate at the same time
• Update the datasets directory, add some commonly used database links

2021-06-10 update

• Add server version text recognition model, see details Extract code：30jv

2021-06-08 update

• Organize the warehouse and unify the model download path
• Improve related documentation

2021-03-24 update

• The new model is fully compatible with ONNXRuntime 1.7 or higher. Special thanks: @Channingss
• The performance of the new version of onnxruntime is improved by more than 40% compared to 1.6.0.

FAQ

SDK compilation status

Since ubuntu users are all commercial users and have the ability to compile, pre-compiled packages are not provided for the time being, and they can be compiled by themselves.

Platform	Compilation Status	Offer Status
Windows x86/x64		Download on the right
Linux x64		Not available yet, compile by yourself

Online demo

• Web demo
• The model combination used in the demo is: server det + mobile cls + mobile rec

Directory structure

click to expand

RapidOCR ├── android # Android project directory ├── api4cpp # C language cross-platform interface library source code directory, directly compile with CMakelists.txt under the root ├── assets # Some pictures for demonstration, not a test set ├── commonlib # common library ├── cpp # C++-based project folder ├── datasets # Additional training datasets ├── dotnet # .Net program directory ├── FAQ.md # Some questions and answers ├── images # Test pictures, two typical test pictures, one is a natural scene, the other is a long text ├── include # The header file directory when compiling the c language interface library ├── ios # Apple mobile phone platform project directory ├── jvm # java-based project directory ├── lib # Compilation library file directory, used to compile the C language interface library. Binary files are not uploaded by default ├── models # Place available model file download information, based on Baidu network disk ├── ocrweb # Based on python and Flask web ├── python # python reasoning code directory ├── release # └── tools # Some conversion scripts and the like

Current Progress

• C++ example (Windows/Linux/macOS): demo
• Jvm example (Java/Kotlin): demo
• .Net example (C#): demo
• Android example: demo
• python example: demo
• IOS example: waiting for someone to contribute code
• Rewrite the C++ reasoning code according to the python version to improve the reasoning effect, and add support for gif/tga/webp format pictures

Model Conversion

• The models currently supported by the conversion script:
  • 1 text direction classification model,
  • 2 detection models,
  • 28 recognition models (2 in simplified Chinese, 26 in traditional Chinese, etc.), totaling 31

Model Conversion Instructions

PaddleOCR-FAQ

ONNX model download

• Extraction code: 30jv

Original initiator and start-up author

• benjaminwan
• znsoftm

Authorization

• The copyright of the OCR model belongs to Baidu, and the copyright of other engineering codes belongs to the owner of this warehouse.
• This software is licensed under LGPL. You are welcome to contribute code, submit an issue or even pr.

Contact us

• You can contact us through QQ group: 887298230

• If you can’t find the group number, please click here link to find the organization

• Scan the following QR code with QQ:

  

Demo

Demonstration with C++/JVM

Demonstration with .Net

Demonstratioin with multi_language