class_docstr: Decorder for centernet.
  
  Parameters
  ----------
  topk : int
      Only keep `topk` results.
  scale : float, default is 4.0
      Downsampling scale for the network.
class_docstr_tok: ["Decorder","for","centernet",".","Parameters","--","--","--","--","--","topk",":","int","Only","keep","`","topk","`","results",".","scale",":","float",",","default","is","4.0","Downsampling","scale","for","the","network","."]
code: def __init__(self, topk=100, scale=4.0):
      super(CenterNetDecoder, self).__init__()
      self._topk = topk
      self._scale = scale
  
imports: from __future__ import absolute_import
  import numpy
  from mxnet import gluon
  from mxnet import nd
  from .bbox import BBoxCornerToCenter, NumPyBBoxCornerToCenter
label_desc: Use image node_id 1 to create a new CenterNetDecoder object from inherited base classes: gluon with example: obj = CenterNetDecoder(topk, scale)