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