code: def decodes(self, x: TensorMultiCategory):
      self.lbls = [self.vocab[a] for a in x]
      return (
          x if self.bbox is None else LabeledBBox(self.bbox, self.lbls)
      )
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from PIL import Image
  from matplotlib import patches, patheffects
label_desc: Use image node_id 3 for calling the BBoxLabeler obj's underlying member method code with example usage: obj.decodes(x) and returns: unknown