class_docstr: This class implements a model-specific object detector using Faster-RCNN and TensorFlowV2.
code: def get_activations(
      self,
      x: np.ndarray,
      layer: Union[int, str],
      batch_size: int,
      framework: bool = False,
  ) -> np.ndarray:
      raise NotImplementedError
  
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 11 for calling the TensorFlowV2FasterRCNN obj's underlying member method code with example usage: obj.get_activations(x, layer, batch_size, framework) without return types