code: def normalize(nparray, axis=0):
      try:
          from sklearn import preprocessing
      except Exception as e:
          raise RuntimeError(
              "Unable to use sklearn in MTMCT in PP-Tracking, please install sklearn, for example: `pip install sklearn`"
          )
      nparray = preprocessing.normalize(nparray, norm="l2", axis=axis)
      return nparray
  
imports: import os
  import re
  import cv2
  import gc
  import numpy
  import pandas
  from tqdm import tqdm
  import warnings
label_desc: Use image node_id 20 for calling a global function with example usage: normalize(nparray, axis) and returns: nparray