class_docstr: This class stores the segmentation masks for all objects in one image, in
  the form of bitmaps.
  
  Attributes:
      tensor: bool Tensor of N,H,W, representing N instances in the image.
class_docstr_tok: ["This","class","stores","the","segmentation","masks","for","all","objects","in","one","image",",","in","the","form","of","bitmaps",".","Attributes",":","tensor",":","bool","Tensor","of","N",",","H",",","W",",","representing","N","instances","in","the","image","."]
code: def get_bounding_boxes(self) -> None:
      # not needed now
      raise NotImplementedError
  
imports: import copy
  import itertools
  from typing import Any, Iterator, List, Union
  import numpy
  import torch
  import torchvision
  from .boxes import Boxes
label_desc: Use image node_id 11 for calling the BitMasks obj's underlying member method code with example usage: obj.get_bounding_boxes() without return types