code: def __init__(
      self,
      ann_file: Optional[str] = None,
      collect_device: str = "cpu",
      outfile_prefix: Optional[str] = None,
      backend_args: dict = None,
      prefix: Optional[str] = None,
  ) -> None:
      super().__init__(collect_device=collect_device, prefix=prefix)
      self.outfile_prefix = outfile_prefix
      with get_local_path(
          ann_file, backend_args=backend_args
      ) as local_path:
          self._coco_api = COCO(local_path)
  
file_path: mmdetection/mmdet/evaluation/metrics/dod_metric.py
imports: from collections import defaultdict
  from typing import List, Optional, Sequence
  import numpy
  from mmengine.evaluator import BaseMetric
  from mmengine.fileio import get_local_path
  from mmengine.logging import MMLogger
  from mmdet.datasets.api_wrappers import COCO, COCOeval
  from mmdet.registry import METRICS
label_desc: Use image node_id 1 to create a new DODCocoMetric object from inherited base classes: BaseMetric with example: obj = DODCocoMetric(ann_file, collect_device, outfile_prefix, backend_args, prefix)