code: def load(self, kwargs):
      # Naming Parameters
      add_parameter(self, kwargs, "name", "OneHotClasses")
  
      # Dropping Parameters
      add_parameter(self, kwargs, "channels", None)
      add_parameter(self, kwargs, "output_data_group", None)
      add_parameter(self, kwargs, "max_centroid", 1)
      add_parameter(self, kwargs, "aggregate_centroid", False)
  
      self.output_shape = {}
      self.array_input = True
  
file_path: DeepNeuro/deepneuro/preprocessing/classes.py
imports: import os
  import numpy
  from deepneuro.preprocessing.preprocessor import Preprocessor
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 1 for calling the GetCentroid obj's underlying member method code with example usage: obj.load(kwargs) without return types