code: def precision_overall(summary_df, overall_dic):
      del summary_df
      precision = quiet_divide(
          overall_dic["num_detections"],
          (
              overall_dic["num_false_positives"]
              + overall_dic["num_detections"]
          ),
      )
      return precision
  
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 3 for calling the MCMOTMetricOverall obj's underlying member method code with example usage: obj.precision_overall(summary_df, overall_dic) and returns: precision