J'utilise Python 2.7, avec keras 1.2.2ImportError: ne peut pas importer le nom get_uid 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))
Je reçois l'erreur suivante:
ImportErrorTraceback (most recent call last)
<ipython-input-10-c760281b33b0> in <module>()
1 from sklearn.datasets import load_files
2 import numpy as np
----> 3 from keras.utils import np_utils
4 from glob import glob
5
C:\Users\ElPanda\Anaconda2\lib\site-packages\keras\__init__.py in <module>()
1 from __future__ import absolute_import
----> 2 from . import backend
3 from . import datasets
4 from . import engine
5 from . import layers
C:\Users\ElPanda\Anaconda2\lib\site-packages\keras\backend\__init__.py in <module>()
8 from .common import set_epsilon
9 from .common import set_floatx
---> 10 from .common import get_uid
11 from .common import cast_to_floatx
12 from .common import image_dim_ordering
ImportError: cannot import name get_uid
Je ne vois pas de questions similaires avec la réponse appropriée. Toute aide serait super, jouera l'Harmonica à votre mariage!