Release Note

一、Support dynamic graph programming paradigm, adapted to Paddle 2.0, including:

  1. Detection algorithm: DB, EAST, SAST
  2. Recognition algorithm: Rosetta, CRNN, RARE, SRN, STAR-Net
  3. PPOCR Chinese models: (1) Detection models: mobile, server (2) Text direction classification models: mobile (3) Recognition models: mobile, server
  4. Multilingual models: (1) English: mobile (2) Japanese, Korean, French, German, etc. 25 languages in total: mobile

二、The related works on deployment have been well adapted, including Inference(Python, C++) , whl, and serving

三、Release the annotation and synthesis tools:

  1. Release a new data synthesis tool, i.e., Style-Text,easy to synthesize a large number of images which are similar to the target scene image.
  2. Release a new data annotation tool, i.e., PPOCRLabel, which is helpful to improve the labeling efficiency. Moreover, the labeling results can be used in training of the PP-OCR system directly.

项目简介

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

🚀 Github 镜像仓库 🚀

源项目地址

https://github.com/PaddlePaddle/PaddleOCR

发行版本 6

PaddleOCRv2.6.0

全部发行版

贡献者 67

全部贡献者

开发语言

  • Python 79.1 %
  • C++ 17.6 %
  • Java 2.6 %
  • CMake 0.5 %
  • Makefile 0.2 %