def load_data(fname, data_grey=False):
n = 6925
size = int(fname.split('_')[0])
if data_grey:
X_fname = 'cache/X_test_grey_%s.npy' % fname
else:
X_fname = 'cache/X_test_%s.npy' % fname
num_channels = 1 if data_grey else 3
X_shape = (n, num_channels, size, size)
print 'Load test data from %s' % X_fname
X = np.memmap(X_fname, dtype=np.float32, mode='r', shape=X_shape)
return X
create_test_cropped_image.py 文件源码
python
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