image_processing.py 文件源码

def eval_cifar10_image(image, height, width, scope=None):
  """Prepare one image for evaluation.

  Args:
    image: 3-D float Tensor
    height: integer
    width: integer
    scope: Optional scope for op_scope.
  Returns:
    3-D float Tensor of prepared image.
  """
  with tf.name_scope(scope, 'eval_image', [image, height, width]):
    # Image processing for evaluation.
    # Crop the central [height, width] of the image.
    image = tf.image.resize_image_with_crop_or_pad(image, height, width)

    # Subtract off the mean and divide by the variance of the pixels.
    image = tf.image.per_image_standardization(image)
    image.set_shape([height, width, 3])

    return image