code: def compute_iou(pred_i, label_i, zero):
      intersect_area_i = paddle.sum(pred_i * label_i)
      if paddle.equal(intersect_area_i, zero):
          return 0
  
      pred_area_i = paddle.sum(pred_i)
      label_area_i = paddle.sum(label_i)
      union_area_i = pred_area_i + label_area_i - intersect_area_i
      if paddle.equal(union_area_i, zero):
          return 1
      else:
          return intersect_area_i / union_area_i
  
file_path: PaddleSeg/paddleseg/models/losses/semantic_connectivity_loss.py
imports: import cv2
  import numpy
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
label_desc: Use image node_id 2 for calling a global function with example usage: compute_iou(pred_i, label_i, zero) and returns: int, int, unknown