class_docstr: This class implements a model-specific object detector using Faster-RCNN and TensorFlowV2.
docstr: Get the `_predictions` attribute.
  
  :return: A dictionary holding "raw" prediction tensors.
docstr_tok: ["Get","the","`","_predictions","`","attribute",".",":","return",":","A","dictionary","holding","``","raw","''","prediction","tensors","."]
code: def predictions(self) -> List[np.ndarray]:
      """
      Get the `_predictions` attribute.
  
      :return: A dictionary holding "raw" prediction tensors.
      """
      return self._predictions
  
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 7 for calling the TensorFlowV2FasterRCNN obj's underlying member method code with example usage: obj.predictions() and returns: self