docstr: Parameters
  ----------
  depth : int, optional
      Specified the layers deep the proposed U-Net should go.
      Layer depth is symmetric on both upsampling and downsampling
      arms.
  max_filter: int, optional
      Specifies the number of filters at the bottom level of the U-Net.
docstr_tok: ["Parameters","--","--","--","--","--","depth",":","int",",","optional","Specified","the","layers","deep","the","proposed","U-Net","should","go",".","Layer","depth","is","symmetric","on","both","upsampling","and","downsampling","arms",".","max_filter",":","int",",","optional","Specifies","the","number","of","filters","at","the","bottom","level","of","the","U-Net","."]
code: def load(self, kwargs):
      """Parameters
      ----------
      depth : int, optional
          Specified the layers deep the proposed U-Net should go.
          Layer depth is symmetric on both upsampling and downsampling
          arms.
      max_filter: int, optional
          Specifies the number of filters at the bottom level of the U-Net.
  
      """
  
      add_parameter(self, kwargs, "command", ["fsl4.1-bet2"])
      # add_parameter(self, kwargs, 'command', ['bet2'])
  
      add_parameter(self, kwargs, "same_mask", True)
      add_parameter(self, kwargs, "reference_channel", None)
  
      add_parameter(self, kwargs, "bet2_f", 0.5)
      add_parameter(self, kwargs, "bet2_g", 0)
  
      add_parameter(self, kwargs, "name", "SkullStrip")
      add_parameter(
          self, kwargs, "preprocessor_string", "_SkullStripped"
      )
  
      self.array_input = True
  
      self.mask_string = "_Skullstrip_Mask"
      self.mask_filename = None
  
file_path: DeepNeuro/deepneuro/preprocessing/skullstrip.py
imports: import subprocess
  import os
  import numpy
  from deepneuro.preprocessing.preprocessor import Preprocessor
  from deepneuro.utilities.conversion import read_image_files, save_numpy_2_nifti
  from deepneuro.utilities.util import add_parameter, quotes
  from deepneuro.outputs.segmentation import PatchesInference
  from deepneuro.postprocessing.label import BinarizeLabel, FillHoles, LargestComponents
  from deepneuro.models.model import load_model_with_output
label_desc: Use image node_id 1 for calling the SkullStrip obj's underlying member method code with example usage: obj.load(kwargs) without return types