9a30bb661ffbf93d095c48d2ba7971f88c10eb38,official/resnet/vgg_preprocessing.py,,preprocess_image,#Any#Any#Any#Any#Any#Any#,336

Before Change

    A preprocessed image.
  
  if is_training:
    return preprocess_for_train(image, output_height, output_width,
                                resize_side_min, resize_side_max)
  else:
    return preprocess_for_eval(image, output_height, output_width,
                               resize_side_min)

After Change

  image.set_shape([output_height, output_width, num_channels])

  image = tf.cast(image, tf.float32)
  return _mean_image_subtraction(image, [_R_MEAN, _G_MEAN, _B_MEAN])

Instances