def get_spatial_image_size(image_resizer_config):
  """Returns expected spatial size of the output image from a given config.

  Args:
    image_resizer_config: An image_resizer_pb2.ImageResizer.

  Returns:
    A list of two integers of the form [height, width]. `height` and `width` are
    set  -1 if they cannot be determined during graph construction.

  Raises:
    ValueError: If the model type is not recognized.
  """
  if image_resizer_config.HasField("fixed_shape_resizer"):
    return [
        image_resizer_config.fixed_shape_resizer.height,
        image_resizer_config.fixed_shape_resizer.width
    ]
  if image_resizer_config.HasField("keep_aspect_ratio_resizer"):
    if image_resizer_config.keep_aspect_ratio_resizer.pad_to_max_dimension:
      return [image_resizer_config.keep_aspect_ratio_resizer.max_dimension] * 2
    else:
      return [-1, -1]
  if image_resizer_config.HasField(
      "identity_resizer") or image_resizer_config.HasField(
          "conditional_shape_resizer"):
    return [-1, -1]
  raise ValueError("Unknown image resizer type.")
Returns expected spatial size of the output image from a given config.

  Args:
    image_resizer_config: An image_resizer_pb2.ImageResizer.

  Returns:
    A list of two integers of the form [height, width]. `height` and `width` are
    set  -1 if they cannot be determined during graph construction.

  Raises:
    ValueError: If the model type is not recognized.
  
inference_api/src/main/object_detection/utils/config_util.py