class_docstr: This layer operation converts the raw network outputs into final inference
  results.
code: def __init__(self, func="", num_classes=0, name="post_processing"):
      super(PostProcessingLayer, self).__init__(name=name)
      self.func = look_up_operations(func.upper(), SUPPORTED_OPS)
      self.num_classes = num_classes
  
file_path: NiftyNet/niftynet/layer/post_processing.py
imports: from __future__ import absolute_import, print_function
  import tensorflow
  from niftynet.layer.base_layer import Layer
  from niftynet.utilities.util_common import look_up_operations
label_desc: Use image node_id 1 to create a new PostProcessingLayer object from inherited base classes: Layer with example: obj = PostProcessingLayer(func, num_classes, name)