code: def _evaluateImg(self, catids_chunk):
      self._prepare()
      p = self.params
      maxDet = max(p.maxDets)
      all_params = []
      for catId in catids_chunk:
          for areaRng in p.areaRng:
              for imgId in p.imgIds:
                  all_params.append((catId, areaRng, imgId))
      evalImgs = [
          self.evaluateImg(imgId, catId, areaRng, maxDet)
          for catId, areaRng, imgId in tqdm(all_params)
      ]
      return evalImgs
  
file_path: mmdetection/mmdet/datasets/api_wrappers/cocoeval_mp.py
imports: import copy
  import itertools
  import time
  from collections import defaultdict
  import numpy
  import torch.multiprocessing
  from mmengine.logging import MMLogger
  from pycocotools.cocoeval import COCOeval
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling the COCOevalMP obj's underlying member method code with example usage: obj._evaluateImg(catids_chunk) and returns: evalImgs