code: def eval_det_cls_wrapper(arguments):
      pred, gt, ovthresh = arguments
      rec, prec, ap = eval_det_cls(pred, gt, ovthresh)
      return (rec, prec, ap)
  
imports: import numpy
  from multiprocessing import Pool
  from torch_points3d.utils.box_utils import box3d_iou
  from torch_points3d.datasets.object_detection.box_data import BoxData
label_desc: Use image node_id 3 for calling a global function with example usage: eval_det_cls_wrapper(arguments) and returns: rec,  prec,  ap