code: def get_line(self, results):
      lines = []
      directions = []
      for i in range(results.shape[0]):
          line, direction = self.hough_line(np.uint8(results[i]))
          lines.append(line)
          directions.append(direction)
      return lines, directions
  
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 5 for calling the LaneSegPredictor obj's underlying member method code with example usage: obj.get_line(results) and returns: lines,  directions