class_docstr: A Matcher implementing maximum matching strategy.
  
  Parameters
  ----------
  threshold : float
      Matching threshold.
code: def hybrid_forward(self, F, x):
      argmax = F.argmax(x, axis=-1)
      match = F.where(
          F.pick(x, argmax, axis=-1) >= self._threshold,
          argmax,
          F.ones_like(argmax) * -1,
      )
      return match
  
file_path: gluon-cv/gluoncv/nn/matcher.py
imports: from __future__ import absolute_import
  from mxnet import gluon
  from mxnet.gluon import nn
label_desc: Use image node_id 2 for calling the MaximumMatcher obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: match