验证码识别
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Updated
Feb 25, 2022 - Jupyter Notebook
验证码识别
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
The official repository of the Eesen project
PyTorch CTC Decoder bindings
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
百度云魅族深度学习应用大赛
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
VietASR - Vietnamese Automatic Speech Recognition
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
A fully convolution-network for speech-to-text, built on pytorch.
Speech Recognition model based off of FAIR research paper built using Pytorch.
RNN CTC by using TensorFlow.
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