code: def get_distance(self, array_1, array_2):
      lon_a = array_1[0]
      lat_a = array_1[1]
      lon_b = array_2[0]
      lat_b = array_2[1]
  
      s = pow(pow((lat_b - lat_a), 2) + pow((lon_b - lon_a), 2), 0.5)
      return s
  
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 6 for calling the LaneSegPredictor obj's underlying member method code with example usage: obj.get_distance(array_1, array_2) and returns: s