code: def get_categories(self, pipeline, object_name):
      return self.get_object_categories(
          pipeline, object_name, {self.output_object.value: []}
      )
  
imports: import numpy
  import scipy.ndimage
  import skimage.morphology
  import skimage.segmentation
  from cellprofiler_core.module import Identify
  from cellprofiler_core.object import Objects
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.subscriber import LabelSubscriber
  from cellprofiler_core.setting.text import LabelName
  from cellprofiler_core.utilities.core.module.identify import add_object_count_measurements
  from cellprofiler_core.utilities.core.module.identify import get_object_measurement_columns
  from cellprofiler_core.utilities.core.module.identify import add_object_location_measurements
  from cellprofiler_library.modules import combineobjects
label_desc: Use image node_id 7 for calling the CombineObjects obj's underlying member method code with example usage: obj.get_categories(pipeline, object_name) and returns: self