Stars
Encoder and decoder with attention model for chinese_ocr in Pytorch 1.0
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
This repository implements the the encoder and decoder model with attention model for OCR
CRNN with attention to do OCR,add Chinese recognition
The SCUT-EPT Dataset for the research of offline handwritten Chinese text recognition (HCTR) in educational documents has been released.
Pytorch implementation of CTPN (Detecting Text in Natural Image with Connectionist Text Proposal Network)
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
This is a pytorch implementation of CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network). You may want to finetune from: https://drive.google.com/open?id=1JHhI4sEIXfs5gDa1…
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
PyTorch re-implementation of ''Real-time Scene Text Detection with Differentiable Binarization'' (AAAI 2020)
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn
My personal implementation of SVTR model for handwritten OCR
Official implementation of PageNet (IJCV 2022)
Extremely simple implement for Chinese OCR by PyTorch.
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
(CRNN) Chinese Characters Recognition.
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Generate text images for training deep learning ocr model
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities