def create_midi(prediction_output):
""" Converts the output from the prediction to notes and create a midi file
from the notes """
offset = 0
output_notes = []
# create note and chord objects based on the values generated by the model
for pattern in prediction_output:
# pattern is a chord
if ('.' in pattern) or pattern.isdigit():
notes_in_chord = pattern.split('.')
notes = []
for current_note in notes_in_chord:
new_note = note.Note(int(current_note))
new_note.storedInstrument = instrument.SnareDrum()
notes.append(new_note)
new_chord = chord.Chord(notes)
new_chord.offset = offset
output_notes.append(new_chord)
# pattern is a note
else:
new_note = note.Note(pattern)
new_note.offset = offset
new_note.storedInstrument = instrument.SnareDrum()
output_notes.append(new_note)
# increase offset each iteration so that notes do not stack
offset += 0.5
midi_stream = stream.Stream(output_notes)
midi_stream.write('midi', fp='test_output2.mid')
def predict_and_create_midi(model, X, unique_info, unique_size):
int_to_note = dict((number, note) for number, note in enumerate(unique_info))
Y_pred = []
random = np.random.randint(0, len(X) - 1)
seq = X[random] #sequence of music information
for number in range(300):
X_pred = np.reshape(seq, (1, len(seq), 1))
X_pred = X_pred / float(unique_size)
pred = model.predict(X_pred, verbose=0)
best = np.argmax(pred) #taking the muisic info with the highest probability
best_info = int_to_note[best] # un-encoding
Y_pred.append(best_info)
seq.append(best)
seq = seq[1:len(seq)] #create the next sequence
song = []
offset= 0.5
# create note and chord objects based on the values generated by the model
for info in predictions:
# info=chord
if ('.' in info) or info.isdigit():
chord_notes = info.split('.')
notes = []
for current in chord_notes:
new_note = note.Note(int(current))
new_note.offset = offset
new_note.storedInstrument = instrument.SnareDrum()
notes.append(new_note)
new_chord = chord.Chord(notes)
song.append(new_chord)
# info = Rest
elif ('Re' in info):
new_rest= note.Rest()
new_rest.offset = offset
new_rest.quarterLength = float(info[1:])
new_rest.storedInstrument = instrument.SnareDrum()
song.append(new_rest)
# info = note
else:
new_note = note.Note(info)
new_note.offset = offset
new_note.storedInstrument = instrument.SnareDrum()
song.append(new_note)
offset += 0.5
midi = stream.Stream(song)
midi.write('midi', fp='C:/Users/PycharmProjects/AI-music/generate-music/generated_song.mid')
def create_midi(pred_note, pred_duration, name='out.mid'):
offset = 0
output_notes = []
for i in range(0,len(pred_note)):
d = duration.Duration()
d.quarterLength = pred_duration[i]
new_note = note.Note(pred_note[i])
new_note.duration = d
new_note.offset = offset
new_note.storedInstrument = instrument.SnareDrum()
output_notes.append(new_note)
offset += pred_duration[i]
midi_stream = stream.Stream(output_notes)
midi_stream.write('midi', fp=name)