class_docstr: This structure stores a list of rotated boxes as a Nx5 torch.Tensor.
  It supports some common methods about boxes
  (`area`, `clip`, `nonempty`, etc),
  and also behaves like a Tensor
  (support indexing, `to(device)`, `.device`, and iteration over all boxes)
docstr: Yield a box as a Tensor of shape (5,) at a time.
docstr_tok: ["Yield","a","box","as","a","Tensor","of","shape","(","5",",",")","at","a","time","."]
code: def __iter__(self):
      """
      Yield a box as a Tensor of shape (5,) at a time.
      """
      yield from self.tensor
  
imports: import math
  from typing import List, Tuple
  import torch
  from detectron2.layers.rotated_boxes import pairwise_iou_rotated
  from .boxes import Boxes
label_desc: Use image node_id 16 for calling the RotatedBoxes obj's underlying member method code with example usage: obj.__iter__() without return types