code: def __init__(
      self,
      name: str,
      baseline_transforms: Union[Callable, List[Callable]],
      input_transforms: Union[Callable, List[Callable]],
      visualization_transforms: Union[
          None, Callable, List[Callable]
      ] = None,
  ) -> None:
      super().__init__(
          name,
          baseline_transforms=baseline_transforms,
          input_transforms=input_transforms,
          visualization_transform=None,
      )
  
imports: import unittest
  from typing import Callable, List, Union
  import torch
  import torch.nn
  from captum.insights import AttributionVisualizer, Batch
  from captum.insights.attr_vis.app import FilterConfig
  from captum.insights.attr_vis.features import BaseFeature, FeatureOutput, ImageFeature
  from tests.helpers.basic import BaseTest
label_desc: Use image node_id 1 to create a new RealFeature object from inherited base classes: BaseFeature with example: obj = RealFeature(name, baseline_transforms, input_transforms, visualization_transforms)