class_docstr: This class reverses the effect of one-hot encoding data. 
      
code: def load(self, kwargs):
      # Naming parameter
      add_parameter(self, kwargs, "name", "UniqueClasses")
      add_parameter(
          self, kwargs, "postprocessor_string", "_unique_classes"
      )
  
imports: import numpy
  from deepneuro.postprocessing.postprocessor import Postprocessor
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 1 for calling the UniqueClasses obj's underlying member method code with example usage: obj.load(kwargs) without return types