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Cezary Pukownik 2019-06-19 17:45:18 +02:00
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###MUSIC GENERATION USING DEEP LEARNING ### MUSIC GENERATION USING DEEP LEARNING
###AUTHOR: CEZARY PUKOWNIK ### AUTHOR: CEZARY PUKOWNIK
#Files: # Files:
- midi.py - code for data extraction, and midi convertion - midi.py - code for data extraction, and midi convertion
- train.py - code for model definition, and training session - train.py - code for model definition, and training session
- generate.py - code for model loading, predicting ang saving to midi_dir - generate.py - code for model loading, predicting ang saving to midi_dir
- settings.py - file where deafult settings are stored - settings.py - file where deafult settings are stored
- readme.md - this file - readme.md - this file
#Directories: # Directories:
- data/midi - directory where input midi are stored - data/midi - directory where input midi are stored
- data/models - directory where trained models are stored - data/models - directory where trained models are stored
- data/output - directory where generated music is stored - data/output - directory where generated music is stored
- data/samples - directory where extracted data from midi is stored - data/samples - directory where extracted data from midi is stored
- data/samples.npz - deprecated - data/samples.npz - deprecated
#How to use: # How to use:
1. Use midi.py to export data from midi files 1. Use midi.py to export data from midi files
>>> ./midi.py [midi_folder_path] [output_path] >>> ./midi.py [midi_folder_path] [output_path]