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CHINESE-OCR is an open-source Python project for detecting and recognizing Chinese text in natural scene images. It uses TensorFlow for text detection and Keras or PyTorch for end-to-end OCR recogniti
(CRNN) Chinese Characters Recognition.
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
PaddleOCR2Pytorch is a PyTorch port of PaddleOCR, enabling models trained with PaddleOCR to run natively within the PyTorch framework. The project provides a reference implementation for converting Pa
OCR toolbox from Davar-Lab
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
CRNN with attention to do OCR，Chinese ocr in Chinese branch
CRNN is base CNN,and BiLSTM with 256 hidden_units is encode network ,GRU with 256 hidden_units is decode network
put your image in 'train' dir,and image name should be like "xx_label_xx.jpg",Parameters are set in config.py,
and then just run the train.py
TensorFlow >=1.2
opencv
