bdu-birhanu/CNN-LSTM-CTC-Amharic-OCR-
Domaine:
natural language processingType de record:
software
Créateur:
bdu
Hôte:
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