class_docstr: Import an initializer from ``niftynet.engine.application_initializer`` or
  from user specified string
docstr: wrapper for getting the initializer.
  
  :param name:
  :param args: optional parameters for the initializer
  :return:
code: def get_initializer(name, args=None):
      """
      wrapper for getting the initializer.
  
      :param name:
      :param args: optional parameters for the initializer
      :return:
      """
      init_class = InitializerFactory.create(name)
      if args is None:
          args = {}
      return init_class.get_instance(args)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import importlib
  import os
  import tensorflow
  from niftynet.utilities.util_common import damerau_levenshtein_distance
label_desc: Use image node_id 1 for calling the InitializerFactory obj's underlying member method code with example usage: obj.get_initializer(name, args) and returns: init_class