Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

Extremely simple implement for CRNN by Tensorflow

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

A TensorFlow implementation of https://github.com/bgshih/crnn

基于CTPN（tensorflow）+CRNN（pytorch）+CTC的不定长文本检测和识别

TensorFlow convolutional recurrent neural network (CRNN) for text recognition

图像文字检测模型(EAST/AdvancedEAST)，及包含文字识别模型(CRNN+CTC)，Keras/TensorFlow实现.

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

Handwriting OCR for Vietnamese Address using state-of-the-art CRNN model implemented with Tensorflow. This was a challenge proposed by the Cinnamon AI Marathon.

FOTS tensorflow implementation, Include train and test, EAST+Rotate+CRNN. FOTS: Fast Oriented Text Spotting with a Unified Network

ocr, cnn+lstm+ctc, crnn, recognition model, tensorflow

This software implements the Convolutional Recurrent Neural Network (CRNN) in tensorflow

CRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.

tensorflow slim Implementation crnn

Tensorflow 实现 中文OCR CRNN +CTC

Speech Emotion Recognition (SER) in Tensorflow using CNNs and CRNNs Based on Mel Spectrograms and Mel Frequency Cepstral Coefficients (MFCCs)

CNN+RNN+CTC

基于CRNN+CTC结构实现对不定长文本字符的识别

A CRNN python implement based on TensorFlow

A tensorflow2 implementation of CRNN(Convolutional Recurrent Neural Network).

crnn text recognition CTC, Attention ,efficientnet, BiLSTM,OCR model / tf(tensorflow, keras) 2.3.1

一款基于CTPN（tensorflow）+CRNN（pytorch）+CTC的不定长文本检测和识别。

CRNN 论文An End-to-ENd Trainable Neural Network for Image-based Sequence Recognition and Its application to Scene Text Recognition代码复现

A Tensorflow implementation of CRNN with attention mechanism for OCR recognition

基于Tensorflow模型使用CNN与CRNN模型对ESC50数据集进行音频事件检测，结果导出为tflite，并进行剪枝量化

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Refactor the FullSpectrum_CNN_Tensorflow and add LSTM module

Simple Tensorflow implementation of a CRNN neural network architecture for text recognition (presented during cabane.io 2019)

Created a Machine Learning Model using Tensorflow Keras API which recognizes handwritten English words. It is using CRNN for recognizing handwritten words using kaggle dataset.

use ctpn detect id cards and printed transfer orders then crnn discern them