code: def evaluate(self, size: int) -> dict:
      if len(self.results) == 0:
          print_log(
              f"{self.__class__.__name__} got empty `self.results`. Please "
              "ensure that the processed results are properly added into "
              "`self.results` in `process` method.",
              logger="current",
              level=logging.WARNING,
          )
  
      all_cats = all_gather_object(self.results)
      results = defaultdict(list)
      for cats in all_cats:
          for cat, cat_anns in cats.items():
              results[cat].extend(cat_anns)
  
      if is_main_process():
          # cast all tensors in results list to cpu
          results = _to_cpu(results)
          _metrics = self.compute_metrics(results)  # type: ignore
          # Add prefix to metric names
          if self.prefix:
              _metrics = {
                  "/".join((self.prefix, k)): v
                  for k, v in _metrics.items()
              }
          metrics = [_metrics]
      else:
          metrics = [None]  # type: ignore
  
      broadcast_object_list(metrics)
  
      # reset the results
      self.results = {}
      return metrics[0]
  
imports: import itertools
  import logging
  import os.path
  import tempfile
  import warnings
  from collections import OrderedDict, defaultdict
  from typing import Dict, List, Optional, Sequence, Union
  import numpy
  import torch
  from mmengine.dist import all_gather_object, broadcast_object_list, is_main_process
  from mmengine.evaluator import BaseMetric
  from mmengine.evaluator.metric import _to_cpu
  from mmengine.fileio import get_local_path
  from mmengine.logging import MMLogger, print_log
  from terminaltables import AsciiTable
  from mmdet.registry import METRICS
  from mmdet.structures.mask import encode_mask_results
  from ..functional import eval_recalls
  from .coco_metric import CocoMetric
label_desc: Use image node_id 4 for calling the LVISFixedAPMetric obj's underlying member method code with example usage: obj.evaluate(size) and returns: metrics