System for classifying segmented text lines as printed or handwritten. The provided neural network has been trained on: * a private dataset for handwritten text lines + 9577 training lines + 1562 validation lines * a dataset of printed text which will be released before August 2019 + its address will be added here - if not, please send a reminder + 40459 training lines + 1562 test lines The accuracy of the classifier on the validation data is 97.47%. If you intend to use it, it is highly advised that you train it on your own data. To do so, create the following folders: lines/training/handwritten lines/training/printed lines/validation/handwritten lines/validation/printed and place your line images in these folders. Train the model by running train-model.py, and evaluate it with evaluate-model.py. Usage example: python3 classify.py 616.jpg