class_docstr: Default formatting bundle.
  
  It simplifies the pipeline of formatting common fields, including "img"
  and "gt_semantic_seg". These fields are formatted as follows.
  
  - img: (1)transpose, (2)to tensor, (3)to DataContainer (stack=True)
  - gt_semantic_seg: (1)unsqueeze dim-0 (2)to tensor,
                     (3)to DataContainer (stack=True)
class_docstr_tok: ["Default","formatting","bundle",".","It","simplifies","the","pipeline","of","formatting","common","fields",",","including","``","img","''","and","``","gt_semantic_seg","''",".","These","fields","are","formatted","as","follows",".","-","img",":","(","1",")","transpose",",","(","2",")","to","tensor",",","(","3",")","to","DataContainer","(","stack=True",")","-","gt_semantic_seg",":","(","1",")","unsqueeze","dim-0","(","2",")","to","tensor",",","(","3",")","to","DataContainer","(","stack=True",")"]
code: def __repr__(self):
      return self.__class__.__name__
  
imports: from collections.abc import Sequence
  import annotator.uniformer.mmcv
  import numpy
  import torch
  from annotator.uniformer.mmcv.parallel import DataContainer
  from ..builder import PIPELINES
label_desc: Use image node_id 2 for calling the DefaultFormatBundle obj's underlying member method code with example usage: obj.__repr__() and returns: self