code: def initialise_identity_aggregator(self):
      self.output_decoder = WindowAsImageAggregator(
          image_reader=self.readers[0],
          output_path=self.action_param.save_seg_dir,
          postfix=self.action_param.output_postfix,
      )
  
imports: from __future__ import absolute_import, print_function
  import tensorflow
  from niftynet.application.base_application import BaseApplication
  from niftynet.engine.application_factory import ApplicationNetFactory, InitializerFactory, OptimiserFactory
  from niftynet.io.image_reader import ImageReader
  from niftynet.engine.sampler_grid_v2 import GridSampler
  from niftynet.engine.sampler_resize_v2 import ResizeSampler
  from niftynet.engine.sampler_uniform_v2 import UniformSampler
  from niftynet.engine.sampler_weighted_v2 import WeightedSampler
  from niftynet.engine.sampler_balanced_v2 import BalancedSampler
  from niftynet.engine.windows_aggregator_grid import GridSamplesAggregator
  from niftynet.engine.windows_aggregator_resize import ResizeSamplesAggregator
  from niftynet.engine.windows_aggregator_identity import WindowAsImageAggregator
  from niftynet.layer.loss_segmentation import LossFunction
  from niftynet.layer.post_processing import PostProcessingLayer
  from niftynet.engine.application_variables import CONSOLE, TF_SUMMARIES, NETWORK_OUTPUT
label_desc: Use image node_id 10 for calling the MultiOutputApplication obj's underlying member method code with example usage: obj.initialise_identity_aggregator() without return types