code: def get_measurements(self, pipeline, object_name, category):
      if object_name == IMAGE and category == C_COUNT:
          return [self.object_name.value]
      elif object_name == self.object_name:
          if category == C_LOCATION:
              return [
                  FTR_CENTER_X,
                  FTR_CENTER_Y,
              ]
          elif category == C_NUMBER:
              return [FTR_OBJECT_NUMBER]
          elif category == C_WORMS:
              return [F_ANGLE]
      return []
  
imports: import matplotlib.cm
  import numpy
  from cellprofiler_core.constants.measurement import COLTYPE_INTEGER, M_LOCATION_CENTER_X, M_LOCATION_CENTER_Y, M_NUMBER_OBJECT_NUMBER, FF_COUNT, COLTYPE_FLOAT, IMAGE, C_COUNT, C_LOCATION, C_NUMBER, FTR_CENTER_X, FTR_CENTER_Y, FTR_OBJECT_NUMBER
  from cellprofiler_core.measurement import Measurements
  from cellprofiler_core.module import Module
  from cellprofiler_core.object import Objects, ObjectSet
  from cellprofiler_core.preferences import get_default_colormap
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting.subscriber import ImageSubscriber
  from cellprofiler_core.setting.text import LabelName, Integer, Float
  from centrosome.cpmorphology import all_connected_components
  from centrosome.cpmorphology import fixup_scipy_ndimage_result
  from centrosome.cpmorphology import get_line_pts
  from scipy.ndimage import binary_erosion, binary_fill_holes
  from scipy.ndimage import mean
label_desc: Use image node_id 14 for calling the IdentifyDeadWorms obj's underlying member method code with example usage: obj.get_measurements(pipeline, object_name, category) and returns: list, list, list, list, list