in data.py [0:0]
def __init__(self, train=True, augment=False):
if train:
for i in range(1, 11):
f = pickle.load(
open(
osp.join(
FLAGS.imagenet_path,
'train_data_batch_{}'.format(i)),
'rb'))
if i == 1:
labels = f['labels']
data = f['data']
else:
labels.extend(f['labels'])
data = np.vstack((data, f['data']))
else:
f = pickle.load(
open(
osp.join(
FLAGS.imagenet_path,
'val_data'),
'rb'))
labels = f['labels']
data = f['data']
self.labels = labels
self.data = data
self.one_hot_map = np.eye(1000)