code: def postprocess(self, pred):
      pred = np.argmax(pred, axis=1)
      pred[pred == 3] = 0
      pred[pred > 0] = 255
  
      return pred
  
imports: import argparse
  import codecs
  import os
  import yaml
  import numpy
  import cv2
  from sklearn.cluster import DBSCAN
  from pptracking.python.det_infer import load_predictor
label_desc: Use image node_id 4 for calling the LaneSegPredictor obj's underlying member method code with example usage: obj.postprocess(pred) and returns: pred