code: def preprocess_reid(
      imgs,
      w=64,
      h=192,
      mean=[0.485, 0.456, 0.406],
      std=[0.229, 0.224, 0.225],
  ):
      im_batch = []
      for img in imgs:
          img = cv2.resize(img, (w, h))
          img = (
              img[:, :, ::-1].astype("float32").transpose((2, 0, 1))
              / 255
          )
          img_mean = np.array(mean).reshape((3, 1, 1))
          img_std = np.array(std).reshape((3, 1, 1))
          img -= img_mean
          img /= img_std
          img = np.expand_dims(img, axis=0)
          im_batch.append(img)
      im_batch = np.concatenate(im_batch, 0)
      return im_batch
  
imports: import os
  import cv2
  import time
  import numpy
  import collections
  import math
label_desc: Use image node_id 6 for calling a global function with example usage: preprocess_reid(imgs, w, h, mean, std) and returns: im_batch