utils.py 文件源码

def transform2(image, input_height, input_width,
              resize_height=64, resize_width=64, crop=True, blur=3):
  if crop:
    cropped_image = center_crop(
      image, input_height, input_width,
      resize_height, resize_width)
  else:
    cropped_image = scipy.misc.imresize(image, [resize_height, resize_width])
  image = np.array(cropped_image)
  #blurring
  r = filters.gaussian_filter(image[:, :, 0], blur)
  g = filters.gaussian_filter(image[:, :, 1], blur)
  b = filters.gaussian_filter(image[:, :, 2], blur)
  image_blurred = np.dstack((r, g, b))

  return [image/127.5 - 1., image_blurred/127.5 - 1.0]