54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
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import os
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import sys
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import argparse
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import pickle
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from midi_processing import extract_data, analyze_data
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parser = argparse.ArgumentParser()
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parser.add_argument('midi_pack', help='folder name for midi pack in midi_packs folder', type=str)
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parser.add_argument('--n', help='name for experiment', type=str)
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parser.add_argument('--b', help='lengh of sequence in bars', type=int)
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parser.add_argument('-a', help='analize data', action='store_true')
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args = parser.parse_args()
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'''SETTINGS'''
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MIDI_PACK_NAME = args.midi_pack
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EXPERIMENT_NAME = args.n
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BARS_IN_SEQ = args.b
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midi_folder_path = os.path.join('midi_packs', MIDI_PACK_NAME)
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# analyze data set for intresting intruments
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if args.a:
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analyze_data(midi_folder_path)
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sys.exit()
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'''SETTINGS'''
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model_workflow = {
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1 : ('Organ', 'melody'),
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2 : (('Organ','Guitar'), 'arrangment'),
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3 : (('Organ','Bass'), 'arrangment'),
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4 : (('Bass','Drums'), 'arrangment')
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}
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# make folder for new experiment if no exist
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try:
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os.mkdir(os.path.join('training_sets', EXPERIMENT_NAME))
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except:
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pass
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# extract process
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for key, (instrument, how) in model_workflow.items():
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if how == 'melody':
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instrument_name = instrument
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else:
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instrument_name = instrument[1]
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save_path = os.path.join('training_sets', EXPERIMENT_NAME, instrument_name.lower() + '_data.pkl')
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x_train, y_train, program = extract_data(midi_folder_path=midi_folder_path, how=how,
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instrument=instrument, bar_in_seq=BARS_IN_SEQ)
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pickle.dump((x_train, y_train, program), open(save_path,'wb'))
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pickle.dump(model_workflow, open(os.path.join('training_sets', EXPERIMENT_NAME, 'workflow.pkl'),'wb'))
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