code: def get_categories(self, pipeline, object_name):
      categories = self.threshold.get_categories(pipeline, object_name)
  
      categories += super(IdentifyPrimaryObjects, self).get_categories(
          pipeline, object_name
      )
  
      return categories
  
imports: import math
  import cellprofiler_core.module.image_segmentation
  import cellprofiler_core.object
  import centrosome.cpmorphology
  import centrosome.outline
  import centrosome.propagate
  import centrosome.threshold
  import numpy
  import scipy.ndimage
  import scipy.sparse
  import skimage.morphology
  import skimage.segmentation
  from cellprofiler_core.setting import Binary, Color
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.range import IntegerRange
  from cellprofiler_core.setting.text import Integer, Float
  import cellprofiler.gui.help
  import cellprofiler.gui.help.content
  from cellprofiler.modules import _help, threshold
label_desc: Use image node_id 20 for calling the IdentifyPrimaryObjects obj's underlying member method code with example usage: obj.get_categories(pipeline, object_name) and returns: categories