code: def ycbcr2rgb(img):
      """same as matlab ycbcr2rgb
      Input:
          uint8, [0, 255]
          float, [0, 1]
      """
      in_img_type = img.dtype
      img.astype(np.float32)
      if in_img_type != np.uint8:
          img *= 255.0
      # convert
      rlt = np.matmul(
          img,
          [
              [0.00456621, 0.00456621, 0.00456621],
              [0, -0.00153632, 0.00791071],
              [0.00625893, -0.00318811, 0],
          ],
      ) * 255.0 + [-222.921, 135.576, -276.836]
      if in_img_type == np.uint8:
          rlt = rlt.round()
      else:
          rlt /= 255.0
      return rlt.astype(in_img_type)
  
imports: import os
  import math
  import random
  import numpy
  import torch
  import cv2
  from torchvision.utils import make_grid
  from datetime import datetime
label_desc: Use image node_id 40 for calling a global function with example usage: ycbcr2rgb(img) and returns: rlt