code: def mota_overall(summary_df, overall_dic):
      del summary_df
      mota = 1.0 - quiet_divide(
          (
              overall_dic["num_misses"]
              + overall_dic["num_switches"]
              + overall_dic["num_false_positives"]
          ),
          overall_dic["num_objects"],
      )
      return mota
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import copy
  import sys
  import math
  from collections import defaultdict
  import numpy
  import pandas
  from .metrics import Metric
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 2 for calling the MCMOTMetricOverall obj's underlying member method code with example usage: obj.mota_overall(summary_df, overall_dic) and returns: mota