class_docstr: Defines a pipeline for operating on data. Output of first function will be passed to the second and so forth.
  
  :param ordered_func_list: (list):
      list of functions to call
  :param func_args: (dict):
      optional dictionary of params to pass to functions in addition to last output
      the dictionary should be in the form of:
      func_name: list(params)
docstr: Apply the functions in current Pipeline to an input.
  
  :param input_: The input to process with the Pipeline.
docstr_tok: ["Apply","the","functions","in","current","Pipeline","to","an","input",".",":","param","input_",":","The","input","to","process","with","the","Pipeline","."]
code: def call(self, input_):
      """Apply the functions in current Pipeline to an input.
  
      :param input_: The input to process with the Pipeline.
      """
      out = input_
      for pipe in self.pipes:
          if (
              pipe.__name__ in self.func_args
          ):  # if additional arguments present
              all_args = self.func_args[pipe.__name__]
              all_args.insert(0, out)
          else:
              all_args = list(out)
          out = pipe(
              *all_args
          )  # pass list to the function to be executed
      return out
  
label_desc: Use image node_id 2 for calling the Pipeline obj's underlying member method code with example usage: obj.call(input_) and returns: out