code: def postprocess(self, input_data, raw_data=None, casename=None):
      return (input_data > self.binarization_threshold).astype(float)
  
imports: import numpy
  from skimage.measure import label
  from scipy.ndimage.morphology import binary_fill_holes
  from deepneuro.postprocessing.postprocessor import Postprocessor
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 2 for calling the BinarizeLabel obj's underlying member method code with example usage: obj.postprocess(input_data, raw_data, casename) and returns: unknown