Gluon-OCR

 A OCR project for text detection and recognition using MXNet.

Gluon-OCR provides implementations of deep learning models in text detection and recognition.

Supported Models

• Various text detection algorithms: EAST, CLRS, DB
• Various text recognition algorithms: CRNN, RARE

Tutorials

• Installation
• Quick Start
• Algorithm introduction
  • Text Detection Algorithm
  • Text Recognition Algorithm
  • END-TO-END OCR Algorithm
• Model training/evaluation
  • Text Detection
  • Text Recognition
  • End2End
• Deployment
  • Python Inference
  • C++ Inference
• Datasets
  • General OCR Datasets(Chinese/English)
  • HandWritten_OCR_Datasets(Chinese)
  • Various OCR Datasets(multilingual)
  • Data Annotation Tools
  • Data Synthesis Tools

Reference

[1]. https://github.com/PaddlePaddle/PaddleOCR
[2]. https://github.com/dmlc/gluon-cv
[3]. EAST: an efficient and accurate scene text detector
[4]. Real-time Scene Text Detection with Differentiable Binarization
[5]. Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
[6]. An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
[7]. Robust Scene Text Recognition with Automatic Rectification

from https://github.com/Davids929/gluon-ocr