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genereting 4 beats instead of 1; better plot; save drums to midi

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Cezary Pukownik 2019-05-30 23:13:03 +02:00
parent dac8add955
commit 8b00b20657
1 changed files with 13 additions and 10 deletions
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23
project/generate.py
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@ -3,6 +3,7 @@
import numpy as np
import midi
import tensorflow as tf
import pypianoroll as roll
from keras.layers import Input, Dense, Conv2D
from keras.models import Model
from tensorflow.keras import layers
@ -17,20 +18,22 @@ trained_model_path = sys.argv[1]
output_path = sys.argv[2]
treshold = float(sys.argv[3])
#random seed
generate_seed = np.random.rand(12288).reshape(1,96,128)
# load and predict
model = pickle.load(open(trained_model_path, 'rb'))
generated_sample = model.predict(generate_seed)
generated_sample = generated_sample.reshape(96,128)
music = np.empty((4,96,128))
for x in range(4):
generate_seed = np.random.randint(0, 127, 12288).reshape(1,96,128)
music[x] = model.predict(generate_seed).reshape(96,128)
generated_sample = music.reshape(4*96,128)
# binarize generated music
generated_sample = generated_sample > treshold * generated_sample.max()
# generated_sample = np.clip(generated_sample,0,1) * 128
#save to midi
midi.to_midi(generated_sample, output_path='{}.mid'.format(output_path) )
# save to midi
generated_midi = midi.to_midi(generated_sample, output_path='{}.mid'.format(output_path), is_drum=True, program=0, )
#save piano roll to png
plt.imshow(generated_sample, cmap = plt.get_cmap('gray'))
plt.savefig('{}.png'.format(output_path))
#save plot for preview
roll.plot(generated_midi, filename='{}.png'.format(output_path))