code: def parse_bias(cameras_bias):
      cid_bias = dict()
      for cameras in cameras_bias.keys():
          cameras_id = re.sub("[a-z,A-Z]", "", cameras)
          cameras_id = int(cameras_id)
          bias = cameras_bias[cameras]
          cid_bias[cameras_id] = float(bias)
      return cid_bias
  
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 5 for calling a global function with example usage: parse_bias(cameras_bias) and returns: cid_bias