class_docstr: This class implements a model-specific object detector using Faster-RCNN and TensorFlow.
class_docstr_tok: ["This","class","implements","a","model-specific","object","detector","using","Faster-RCNN","and","TensorFlow","."]
docstr: Are the native labels in PyTorch format [x1, y1, x2, y2]?
docstr_tok: ["Are","the","native","labels","in","PyTorch","format","[","x1",",","y1",",","x2",",","y2","]","?"]
code: def native_label_is_pytorch_format(self) -> bool:
      """
      Are the native labels in PyTorch format [x1, y1, x2, y2]?
      """
      return False
  
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 TensorFlowEstimator
  from art.utils import get_file
  from art import config
label_desc: Use image node_id 2 for calling the TensorFlowFasterRCNN obj's underlying member method code with example usage: obj.native_label_is_pytorch_format() and returns: False