我使用的是python2.7和keras1.2.2
from sklearn.datasets import load_files
import numpy as np
from keras.utils import np_utils
from glob import glob
# define function to load train, test, and validation datasets
def load_dataset(path):
data = load_files(path)
dog_files = np.array(data['filenames'])
dog_targets = np_utils.to_categorical(np.array(data['target']), 133)
return dog_files, dog_targets
# load train, test, and validation datasets
train_files, train_targets = load_dataset('dogImages/train')
valid_files, valid_targets = load_dataset('dogImages/valid')
test_files, test_targets = load_dataset('dogImages/test')
# load list of dog names
dog_names = [item[20:-1] for item in sorted(glob("dogImages/train/*/"))]
# print statistics about the dataset
print('There are %d total dog categories.' % len(dog_names))
print('There are %d total dog images.\n' % len(np.hstack([train_files, valid_files, test_files])))
print('There are %d training dog images.' % len(train_files))
print('There are %d validation dog images.' % len(valid_files))
print('There are %d test dog images.'% len(test_files))
我得到以下错误:
^{pr2}$我没有看到任何类似的问题,比如说有合适的答案。任何帮助都很好,会在你的婚礼上吹口琴!在
我也犯过类似的错误。如果使用tensorflow,它可能与后端的tensorflow版本有关。以下版本适用于我。在
Python 2.7版
Keras 1.2.2版
Tensorflow 1.3.0版
Tensorflow 1.4.0版在我的案例中不起作用。在
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