code: def accumulate(self):
      logger.info("Processing Result for KITTI Tracking Benchmark")
      e = self.MOTEvaluator(
          result_path=self.result_root,
          gt_path=self.gt_path,
          n_frames=self.n_frames,
          seqs=self.seqs,
          n_sequences=self.n_sequences,
      )
      try:
          if not e.loadTracker():
              return
          logger.info("Loading Results - Success")
          logger.info("Evaluate Object Class: %s" % c.upper())
      except:
          logger.info("Caught exception while loading result data.")
      if not e.loadGroundtruth():
          raise ValueError("Ground truth not found.")
      logger.info("Loading Groundtruth - Success")
      # sanity checks
      if len(e.groundtruth) is not len(e.tracker):
          logger.info(
              "The uploaded data does not provide results for every sequence."
          )
          return False
      logger.info("Loaded %d Sequences." % len(e.groundtruth))
      logger.info("Start Evaluation...")
  
      if e.compute3rdPartyMetrics():
          self.strsummary = e.saveToStats(self.save_summary)
      else:
          logger.info(
              "There seem to be no true positives or false positives at all in the submitted data."
          )
  
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
  from ppdet.modeling.bbox_utils import bbox_iou_np_expand
  from .map_utils import ap_per_class
  from .metrics import Metric
  from .munkres import Munkres
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 4 for calling the KITTIMOTMetric obj's underlying member method code with example usage: obj.accumulate() and returns: False