code: def __call__(self, lane_ys):
      lane_xs = self.function(lane_ys)
  
      lane_xs[
          (lane_ys < self.min_y) | (lane_ys > self.max_y)
      ] = self.invalid_value
      return lane_xs
  
file_path: PaddleDetection/ppdet/modeling/lane_utils.py
imports: import os
  import cv2
  import numpy
  from scipy.interpolate import InterpolatedUnivariateSpline
label_desc: Use image node_id 3 for calling the Lane obj's underlying member method code with example usage: obj.__call__(lane_ys) and returns: lane_xs