9a30bb661ffbf93d095c48d2ba7971f88c10eb38,official/resnet/vgg_preprocessing.py,,_central_crop,#Any#Any#Any#,171

Before Change

    the list of cropped images.
  
  outputs = []
  for image in image_list:
    image_height = tf.shape(image)[0]
    image_width = tf.shape(image)[1]

    offset_height = (image_height - crop_height) / 2
    offset_width = (image_width - crop_width) / 2

    outputs.append(_crop(image, offset_height, offset_width,
                         crop_height, crop_width))
  return outputs


def _mean_image_subtraction(image, means):

After Change

  height, width = _get_h_w(image)

  total_crop_height = (height - crop_height)
  crop_top = total_crop_height // 2
  total_crop_width = (width - crop_width)
  crop_left = total_crop_width // 2
  return tf.slice(
      image, [crop_top, crop_left, 0], [crop_height, crop_width, -1])


def _mean_image_subtraction(image, means):
  Subtracts the given means from each image channel.

Instances