class_docstr: This class implements a model-specific object detector using Faster-RCNN and TensorFlowV2.
docstr: Return the shape of one input sample.
  
  :return: Shape of one input sample.
docstr_tok: ["Return","the","shape","of","one","input","sample",".",":","return",":","Shape","of","one","input","sample","."]
code: def input_shape(self) -> Tuple[int, ...]:
      """
      Return the shape of one input sample.
  
      :return: Shape of one input sample.
      """
      return self._input_shape
  
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 3 for calling the TensorFlowV2FasterRCNN obj's underlying member method code with example usage: obj.input_shape() and returns: self