praca-magisterska/project
2019-05-29 10:50:00 +02:00
..
__pycache__ -init-first-stage- 2019-05-28 12:40:26 +02:00
data -init-first-stage- 2019-05-28 12:40:26 +02:00
generate.py -init-first-stage- 2019-05-28 12:40:26 +02:00
midi.py add readme file, commented out delete_empty_samples function 2019-05-29 10:50:00 +02:00
readme add readme file, commented out delete_empty_samples function 2019-05-29 10:50:00 +02:00
samples_to_midi.py -init-first-stage- 2019-05-28 12:40:26 +02:00
settings.py move midi program dictionary here 2019-05-29 10:38:11 +02:00
settings.pyc -init-first-stage- 2019-05-28 12:40:26 +02:00
train.py add #!/usr/bin/env python3 2019-05-29 10:37:29 +02:00

## MUSIC GENERATION USING DEEP LEARNING ##
## AUTHOR: CEZARY PUKOWNIK

How to use:

1. Use midi.py to export data from midi files

  ./midi.py export <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>

3. Use generate.py to generate music from trained models

  ./generate.py <model_weights_path> <output_path>