code: def continuous_cross_iou(xs, ys, width=30, img_shape=(590, 1640, 3)):
      h, w, _ = img_shape
      image = Polygon([(0, 0), (0, h - 1), (w - 1, h - 1), (w - 1, 0)])
      xs = [
          LineString(lane)
          .buffer(distance=width / 2.0, cap_style=1, join_style=2)
          .intersection(image)
          for lane in xs
      ]
      ys = [
          LineString(lane)
          .buffer(distance=width / 2.0, cap_style=1, join_style=2)
          .intersection(image)
          for lane in ys
      ]
  
      ious = np.zeros((len(xs), len(ys)))
      for i, x in enumerate(xs):
          for j, y in enumerate(ys):
              ious[i, j] = x.intersection(y).area / x.union(y).area
  
      return ious
  
imports: import os
  import cv2
  import numpy
  import os.path
  from functools import partial
  from .metrics import Metric
  from scipy.interpolate import splprep, splev
  from scipy.optimize import linear_sum_assignment
  from shapely.geometry import LineString, Polygon
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 3 for calling a global function with example usage: continuous_cross_iou(xs, ys, width, img_shape) and returns: ious