83 lines
3.2 KiB
Python
83 lines
3.2 KiB
Python
#!/usr/bin/env python3
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import settings
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import pypianoroll as roll
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import matplotlib.pyplot as plt
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import numpy as np
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import os
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from tqdm import tqdm
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from math import floor
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import sys
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def to_samples(midi_file_path, midi_res=settings.midi_resolution):
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# this function export a samples from midi file:
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# and for every track in midi file chopped pianoroll
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# for a samples of given beat_lenth (midi_res)
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# every track is single line
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print('Exporting samples from: {}'.format(midi_file_path))
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all_beats = np.empty((0, settings.midi_resolution, 128))
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for track in roll.Multitrack(midi_file_path).tracks:
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print('Track: {}'.format(track.name))
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if not track.is_drum:
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number_of_beats = floor(track.pianoroll.shape[0] / midi_res)
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track_pianoroll = track.pianoroll[: number_of_beats * midi_res]
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track_beats = track_pianoroll.reshape(number_of_beats, midi_res, 128)
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all_beats = np.concatenate([track_beats, all_beats], axis=0)
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print('Exported {} samples of {}'.format(number_of_beats, settings.midi_program[track.program]))
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else:
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# add code for drums samples
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pass
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return all_beats
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def to_midi(samples, output_path=settings.generated_midi_path, program=0, tempo=120, beat_resolution=settings.beat_resolution):
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tracks = [roll.Track(samples, program=program)]
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return_midi = roll.Multitrack(tracks=tracks, tempo=tempo, downbeat=[0, 96, 192, 288], beat_resolution=beat_resolution)
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roll.write(return_midi, settings.generated_midi_path)
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# todo: this function is running too slow.
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def delete_empty_samples(sample_pack):
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print('Deleting empty samples...')
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temp_sample_pack = sample_pack
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index_manipulator = 1
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for index, sample in enumerate(sample_pack):
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if sample.sum() == 0:
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temp_sample_pack = np.delete(temp_sample_pack, index-index_manipulator, axis=0)
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index_manipulator = index_manipulator + 1
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print('Deleted {} empty samples'.format(index_manipulator-1))
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return temp_sample_pack
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def main():
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if sys.argv[1]=='export':
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print('Exporting started...')
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sample_pack = np.empty((0,settings.midi_resolution,128))
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for midi_file in os.listdir(settings.midi_dir):
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midi_file_path = '{}/{}'.format(settings.midi_dir, midi_file)
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midi_samples = to_samples(midi_file_path)
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if midi_samples is None:
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continue
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sample_pack = np.concatenate((midi_samples, sample_pack), axis=0)
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# I commented out this line, because it was too slow
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# sample_pack = delete_empty_samples(sample_pack)
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np.savez_compressed(settings.samples_dir, sample_pack)
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print('Exported {} samples'.format(sample_pack.shape[0]))
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fig, axes = plt.subplots(nrows=10, ncols=10, figsize=(20, 20))
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for idx, ax in enumerate(axes.ravel()):
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n = np.random.randint(0, sample_pack.shape[0])
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sample = sample_pack[n]
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ax.imshow(sample, cmap = plt.get_cmap('gray'))
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plt.savefig(settings.sample_preview_path)
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if __name__ == '__main__':
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main()
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