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Cezary Pukownik 23f406d053 add readme
2019-06-19 10:53:44 +02:00
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__pycache__ -init-first-stage- 2019-05-28 12:40:26 +02:00
data add readme 2019-06-19 10:53:44 +02:00
generate.py get it working, on music21 and sequence style enoding 2019-06-01 17:05:38 +02:00
midi.py get it working, on music21 and sequence style enoding 2019-06-01 17:05:38 +02:00
readme.md add readme 2019-06-19 10:53:44 +02:00
settings.py data extraction to groups of instruments; drums is now avaible 2019-05-30 23:11:25 +02:00
settings.pyc -init-first-stage- 2019-05-28 12:40:26 +02:00
train.py get it working, on music21 and sequence style enoding 2019-06-01 17:05:38 +02:00

readme.md

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>

  1. Use train.py to train a model (this can take a while)

./train.py <input_training_data> <model_save_path>

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

./generate.py <trained_model_path> <output_path>