class_docstr: Bbox sampling result.
      
class_docstr_tok: ["Bbox","sampling","result","."]
docstr: paddle.Tensor: concatenated positive and negative boxes
docstr_tok: ["paddle.Tensor",":","concatenated","positive","and","negative","boxes"]
code: def bboxes(self):
      """paddle.Tensor: concatenated positive and negative boxes"""
      return paddle.concat([self.pos_bboxes, self.neg_bboxes])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from ppdet.core.workspace import register
label_desc: Use image node_id 2 for calling the SamplingResult obj's underlying member method code with example usage: obj.bboxes() and returns: paddle