code: def __add_registration_args(parser):
      """
      keywords defined for image registration
  
      :param parser:
      :return:
      """
      parser.add_argument(
          "--label_normalisation",
          metavar="",
          help="whether to map unique labels in the training set to "
          "consecutive integers (the smallest label will be  mapped to 0)",
          type=str2boolean,
          default=False,
      )
  
      from niftynet.application.label_driven_registration import (
          SUPPORTED_INPUT,
      )
  
      parser = add_input_name_args(parser, SUPPORTED_INPUT)
      return parser
  
file_path: NiftyNet/niftynet/utilities/user_parameters_custom.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  from niftynet.utilities.user_parameters_helper import add_input_name_args, int_array, str2boolean
label_desc: Use image node_id 7 for calling a global function with example usage: __add_registration_args(parser) and returns: parser