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bdu-birhanu/CNN-LSTM-CTC-Amharic-OCR-

Domain:

natural language processing

Record type:

software
Creator:
bdu
Host:
An end to end Amharic text-image recognition # CNN-LSTM-CTC Amharic OCR ## End-to-End learning - This method uses CNN-LSTM-CTC networks. - To train and test this model, please use the ADOCR dataset from dfki.uni-kl.de . (new link) bdu-birhanu.github.io However, to play with the code you may also use the sample database given, together with the source code, in this directory. - Both the text-line images and corresponding ground truth are given in numpy format. ### To run the code with Terminal use the following info: ``` # Load and Pre-process data python data_loader.py # Train python train_model.py # Test and results python test_model.py ``` ## Some issues to know 1. The test environment is - Python 2.7 - Keras 2.2.4 - tensorflow 1.14