code: def run(self, img):
      input_names = self.predictor.get_input_names()
      input_handle = self.predictor.get_input_handle(input_names[0])
      output_names = self.predictor.get_output_names()
      output_handle = self.predictor.get_output_handle(output_names[0])
  
      img = np.array(img)
      self.shape = img.shape[1:3]
      img = self.normalize(img)
      img = np.transpose(img, (0, 3, 1, 2))
      input_handle.reshape(img.shape)
      input_handle.copy_from_cpu(img)
  
      self.predictor.run()
  
      results = output_handle.copy_to_cpu()
      results = self.postprocess(results)
  
      return self.get_line(results)
  
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 2 for calling the LaneSegPredictor obj's underlying member method code with example usage: obj.run(img) and returns: self