def __init__(self, files):
self.tunes = []
for filename in glob.glob(files):
try:
self.tunes.append(Tune.Tune(filename))
except:
print("could not load:", filename)
from network import NeuralNetwork
from music21 import environment
from common import Tune, Note
from utils import compareNewMelody, updateNoteInput, updatePoDInput
from MusicConverter import MusicConverter, MUSIC_STREAM
############################################################################
ND_modelFilepath = "../weights/30_note-duration_sequence20_epoch20_LLDD_WD"
ND_sequenceLength = 20
NN_modelFilepath = "../weights/old_weights/3L_2LSTM1D_WD_SL15_model_epoch65_batch15"
NN_sequenceLength = 15
newMelodyLength = 50
starter = Tune.Tune("../ABC/ABCChina06")
inputIndex = 5
inputIndex2 = 15
############################################################################
environment.set('musicxmlPath', '/bin/musescore3')
ND_model = NeuralNetwork.NeuralNetwork()
ND_model.load_model(ND_modelFilepath)
starterInput, temp = starter.getTrainData(ND_sequenceLength)
ND_input = starterInput[inputIndex]
ND_inputShape = (1, ND_sequenceLength, 450)
NN_model = NeuralNetwork.NeuralNetwork()
NN_model.load_model(NN_modelFilepath)
from network import NeuralNetwork
from common import TuneLoader, Tune, Note
from music21 import environment
from MusicConverter import MusicConverter, MUSIC_STREAM
import numpy as np
from utils import compareNewMelody
filepath = "weights/70_note-note_sequence10_epoch250_LLLLD_WD"
GenNN = NeuralNetwork.NeuralNetwork()
GenNN.load_model(filepath)
environment.set('musicxmlPath', '/bin/musescore3' )
tune = Tune.Tune("ABC/ABCChina06")
tune.show("text")