Comments (1)
after replace this function,issue will solved. 将下面的函数替换,问题将会解决.
#utils.py
def create_data_generator(directory, max_input_length, max_label_length, batch_size=64):
x, y, input_lengths, label_lengths = [], [], [], []
while True:
try:
with open(os.path.join(directory, 'metadata.csv'), 'r') as metadata:
metadata_reader = csv.DictReader(metadata, fieldnames=['filename', 'spec_length', 'labels_length', 'labels'])
next(metadata_reader)
for row in metadata_reader:
audio = np.load(os.path.join(directory, row['filename'] + '.npy'))
x.append(audio)
y.append([int(i) for i in row['labels'].split(' ')])
input_lengths.append(row['spec_length'])
label_lengths.append(row['labels_length'])
if len(x) == batch_size:
yield {
'inputs': tf.keras.preprocessing.sequence.pad_sequences(x, maxlen=max_input_length, padding='post'),
'labels': tf.keras.preprocessing.sequence.pad_sequences(y, maxlen=max_label_length, padding='post'),
'input_lengths': np.asarray(input_lengths),
'label_lengths': np.asarray(label_lengths)
}, {
'ctc': np.zeros([batch_size])
}
x, y, input_lengths, label_lengths = [], [], [], []
except:
pass
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