code: def xywh2xyxy(x):
      # Convert nx4 boxes from [x, y, w, h] to [x1, y1, x2, y2] where xy1=top-left, xy2=bottom-right
      y = x.clone() if isinstance(x, torch.Tensor) else np.copy(x)
      y[:, 0] = x[:, 0] - x[:, 2] / 2  # top left x
      y[:, 1] = x[:, 1] - x[:, 3] / 2  # top left y
      y[:, 2] = x[:, 0] + x[:, 2] / 2  # bottom right x
      y[:, 3] = x[:, 1] + x[:, 3] / 2  # bottom right y
      return y
  
imports: import glob
  import logging
  import os
  import re
  import time
  from pathlib import Path
  from typing import List
  import cv2
  import numpy
  import torch
  import torchvision
  from norfair import Detection
label_desc: Use image node_id 11 for calling a global function with example usage: xywh2xyxy(x) and returns: y