## MUSIC GENERATION USING DEEP LEARNING ##
## AUTHOR: CEZARY PUKOWNIK
files:
- midi.py - code for data extraction, and midi convertion
- train.py - code for model definition, and training session
- generate.py - code for model loading, predicting ang saving to midi_dir
- settings.py - file where deafult settings are stored
- readme - this file
- data/midi - directory where input midi are stored
- data/models - directory where trained models are stored
- data/output - directory where generated music is stored
- data/samples - directory where extracted data from midi is stored
- data/samples.npz - deprecated
How to use:
1. Use midi.py to export data from midi files
./midi.py <midi_folder_path> <output_path>
2. Use train.py to train a model (this can take a while)
./train.py <input_training_data> <model_save_path> <epochs>
3. Use generate.py to generate music from trained models
./generate.py <trained_model_path> <output_path> <treshold>
