class_docstr: Mix-in Base class for ART object detectors.
class_docstr_tok: ["Mix-in","Base","class","for","ART","object","detectors","."]
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]?
      """
      raise NotImplementedError
  
file_path: adversarial-robustness-toolbox/art/estimators/object_detection/object_detector.py
imports: from abc import ABC, abstractmethod
  from art.estimators.estimator import BaseEstimator
  from art.estimators.classification.classifier import LossGradientsMixin
label_desc: Use image node_id 1 for calling the ObjectDetectorMixin obj's underlying member method code with example usage: obj.native_label_is_pytorch_format() without return types