code: def compute_iou(rec1, rec2):
      """
      computing IoU
      :param rec1: (y0, x0, y1, x1), which reflects
              (top, left, bottom, right)
      :param rec2: (y0, x0, y1, x1)
      :return: scala value of IoU
      """
      # computing area of each rectangles
      S_rec1 = (rec1[2] - rec1[0]) * (rec1[3] - rec1[1])
      S_rec2 = (rec2[2] - rec2[0]) * (rec2[3] - rec2[1])
  
      # computing the sum_area
      sum_area = S_rec1 + S_rec2
  
      # find the each edge of intersect rectangle
      left_line = max(rec1[1], rec2[1])
      right_line = min(rec1[3], rec2[3])
      top_line = max(rec1[0], rec2[0])
      bottom_line = min(rec1[2], rec2[2])
  
      # judge if there is an intersect
      if left_line >= right_line or top_line >= bottom_line:
          return 0.0
      else:
          intersect = (right_line - left_line) * (
              bottom_line - top_line
          )
          return (intersect / (sum_area - intersect)) * 1.0
  
file_path: PaddleOCR/ppstructure/table/matcher.py
imports: import numpy
  from ppstructure.table.table_master_match import deal_eb_token, deal_bb
label_desc: Use image node_id 2 for calling a global function with example usage: compute_iou(rec1, rec2) and returns: int, unknown