class_docstr: !
  @brief Performs analysis of output dynamic of the double-layer oscillatory network 'syncsegm' to extract information about segmentation results.
docstr: !
  @brief Returns analysers of object segmentation of the second layer.
docstr_tok: ["!","@","brief","Returns","analysers","of","object","segmentation","of","the","second","layer","."]
code: def get_second_layer_analysers(self):
      """!
      @brief Returns analysers of object segmentation of the second layer.
  
      """
  
      return self.__object_segment_analysers
  
imports: from math import floor
  from PIL import Image
  from pyclustering.cluster.syncnet import syncnet
  from pyclustering.core.wrapper import ccore_library
  from pyclustering.nnet import solve_type, initial_type
  from pyclustering.nnet.sync import sync_visualizer
  from pyclustering.utils import read_image
label_desc: Use image node_id 3 for calling the syncsegm_analyser obj's underlying member method code with example usage: obj.get_second_layer_analysers() and returns: self