code: def motp_overall(summary_df, overall_dic):
      motp = quiet_divide(
          (summary_df["motp"] * summary_df["num_detections"]).sum(),
          overall_dic["num_detections"],
      )
      return motp
  
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 1 for calling the MCMOTMetricOverall obj's underlying member method code with example usage: obj.motp_overall(summary_df, overall_dic) and returns: motp