for i in range(10):
    image_path = path + 'test/' + str(i + 1) + '.jpg'
    image = Image.open(image_path)
    data = np.array(image)
    resized = scipy.misc.imresize(data, [224, 224, 1])
    shape = resized.shape
    #print(shape)
    reshaped = resized.reshape([1, shape[2], shape[0], shape[1]])
    #print(reshaped.shape)
    print(vgg.predict(reshaped, True)[2][0])