code: def normalize(self, im, mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5)):
      mean = np.array(mean)[np.newaxis, np.newaxis, :]
      std = np.array(std)[np.newaxis, np.newaxis, :]
      im = im.astype(np.float32, copy=False) / 255.0
      im -= mean
      im /= std
      return im
  
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 3 for calling the LaneSegPredictor obj's underlying member method code with example usage: obj.normalize(im, mean, std) and returns: im