class_docstr: Completely or partially transform the input image to its superpixel representation. Uses skimage's version
  of the SLIC algorithm. May be slow.
  
  This augmentation is deprecated. Please use Superpixels instead.
  
  Args:
      p_replace (float): defines the probability of any superpixel area being replaced by the superpixel, i.e. by
          the average pixel color within its area. Default: 0.1.
      n_segments (int): target number of superpixels to generate. Default: 100.
      p (float): probability of applying the transform. Default: 0.5.
  
  Targets:
      image
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code: def processor(self):
      return iaa.Superpixels(
          p_replace=self.p_replace, n_segments=self.n_segments
      )
  
imports: import warnings
  from albumentations.core.bbox_utils import convert_bboxes_from_albumentations, convert_bboxes_to_albumentations
  from albumentations.core.keypoints_utils import convert_keypoints_from_albumentations, convert_keypoints_to_albumentations
  from ..augmentations import Perspective
  from ..core.transforms_interface import BasicTransform, DualTransform, ImageOnlyTransform, to_tuple
label_desc: Use image node_id 2 for calling the IAASuperpixels obj's underlying member method code with example usage: obj.processor() and returns: iaa