code: def __init__(self, anno_file, **kwargs):
      super(SNIPERCOCOMetric, self).__init__(anno_file, **kwargs)
      self.dataset = kwargs["dataset"]
      self.chip_results = []
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import json
  import paddle
  import numpy
  import typing
  from collections import defaultdict
  from pathlib import Path
  from .map_utils import prune_zero_padding, DetectionMAP
  from .coco_utils import get_infer_results, cocoapi_eval
  from .widerface_utils import face_eval_run
  from ppdet.data.source.category import get_categories
  from ppdet.modeling.rbox_utils import poly2rbox_np
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 1 to create a new SNIPERCOCOMetric object from inherited base classes: COCOMetric with example: obj = SNIPERCOCOMetric(anno_file)