code: def __init__(
      self,
      cfg,
      output_eval=None,
      split="test",
      dataset_dir="dataset/CULane/",
  ):
      super(CULaneMetric, self).__init__()
      self.output_eval = (
          "evaluation" if output_eval is None else output_eval
      )
      self.dataset_dir = dataset_dir
      self.split = split
      self.list_path = osp.join(dataset_dir, LIST_FILE[split])
      self.predictions = []
      self.img_names = []
      self.lanes = []
      self.eval_results = {}
      self.cfg = cfg
      self.reset()
  
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 1 to create a new CULaneMetric object from inherited base classes: Metric with example: obj = CULaneMetric(cfg, output_eval, split, dataset_dir)