code: def iou(self, box1, box2):
      tb = min(box1[0] + 0.5 * box1[2], box2[0] + 0.5 * box2[2]) - max(
          box1[0] - 0.5 * box1[2], box2[0] - 0.5 * box2[2]
      )
      lr = min(box1[1] + 0.5 * box1[3], box2[1] + 0.5 * box2[3]) - max(
          box1[1] - 0.5 * box1[3], box2[1] - 0.5 * box2[3]
      )
      if tb < 0 or lr < 0:
          intersection = 0
      else:
          intersection = tb * lr
      return intersection / (
          box1[2] * box1[3] + box2[2] * box2[3] - intersection
      )
  
file_path: AdvBox/applications/StealthTshirt/StealthTshirtDemo.py
imports: import numpy
  import tensorflow
  import cv2
  import time
  import sys
  import os
  import pdb
label_desc: Use image node_id 7 for calling the Faster_YOLO obj's underlying member method code with example usage: obj.iou(box1, box2) and returns: unknown