CRNN/LPRNet + CTC
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Updated
Sep 20, 2024 - Python
CRNN/LPRNet + CTC
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle. (将PaddleOCR模型做了转换,采用ONNXRuntime推理,速度很快)
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)
Implementation of popular deep learning networks with TensorRT network definition API
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
This is an implementation of YOLOv8 and CRNN network for Scene Text Recognition task
A toolbox of ocr models and algorithms based on MindSpore
[YOLOv5-Seg][CRNN-CTC][CCPD]License Plate Detect/Segment/Recog
OCR with Scene-Text Detection project
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Text recognition (optical character recognition) with deep learning methods in farsi.
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
CRNN with attention to do OCR,add Chinese recognition
Free Offline OCR 离线的中文文本检测+识别SDK
This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.
Compute the metric of text recognition algorithm.
A Benchmark of Text Classification in PyTorch
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