class_docstr: Assign object detection proposals to ground-truth targets. Produces proposal
  classification labels and bounding-box regression targets.
class_docstr_tok: ["Assign","object","detection","proposals","to","ground-truth","targets",".","Produces","proposal","classification","labels","and","bounding-box","regression","targets","."]
docstr: Reshaping happens during the call to forward.
docstr_tok: ["Reshaping","happens","during","the","call","to","forward","."]
code: def reshape(self, bottom, top):
      """Reshaping happens during the call to forward."""
      pass
  
file_path: neon/examples/faster-rcnn/tests/proposal_target_layer_ref.py
imports: from __future__ import division
  from __future__ import print_function
  from builtins import object
  import numpy
  import numpy.random
  from util import bbox_transform, calculate_bb_overlap
label_desc: Use image node_id 4 for calling the PyCaffeProposalTargetLayer obj's underlying member method code with example usage: obj.reshape(bottom, top) without return types