class_docstr: This class implements a model-specific object detector using Faster-RCNN and TensorFlowV2.
docstr: Get the `_detections` attribute.
  
  :return: A dictionary containing final detection results.
docstr_tok: ["Get","the","`","_detections","`","attribute",".",":","return",":","A","dictionary","containing","final","detection","results","."]
code: def detections(self) -> List[Dict[str, np.ndarray]]:
      """
      Get the `_detections` attribute.
  
      :return: A dictionary containing final detection results.
      """
      return self._detections
  
imports: import logging
  from typing import List, Dict, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  from art.estimators.object_detection.object_detector import ObjectDetectorMixin
  from art.estimators.tensorflow import TensorFlowV2Estimator
  from art.utils import get_file
  from art import config
label_desc: Use image node_id 9 for calling the TensorFlowV2FasterRCNN obj's underlying member method code with example usage: obj.detections() and returns: self