based on python+ theano + keras

• using theano backends

from scipy import misc import copy import numpy as np from vggface import VGGFace

model = VGGFace()

im = misc.imread('../image/ak.jpg') im = misc.imresize(im, (224, 224)).astype(np.float32) aux = copy.copy(im) im[:, :, 0] = aux[:, :, 2] im[:, :, 2] = aux[:, :, 0]

im[:, :, 0] -= 93.5940 im[:, :, 1] -= 104.7624 im[:, :, 2] -= 129.1863 im = np.transpose(im, (2, 0, 1)) # need rgb transpose im = np.expand_dims(im, axis=0)

res = model.predict(im) print np.argmax(res[0])