class_docstr: Sharpen the input image and overlays the result with the original image.
  This augmentation is deprecated. Please use Sharpen instead
  Args:
      alpha ((float, float)): range to choose the visibility of the sharpened image. At 0, only the original image is
          visible, at 1.0 only its sharpened version is visible. Default: (0.2, 0.5).
      lightness ((float, float)): range to choose the lightness of the sharpened image. Default: (0.5, 1.0).
      p (float): probability of applying the transform. Default: 0.5.
  
  Targets:
      image
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code: def __init__(
      self,
      alpha=(0.2, 0.5),
      lightness=(0.5, 1.0),
      always_apply=False,
      p=0.5,
  ):
      super(IAASharpen, self).__init__(always_apply, p)
      self.alpha = to_tuple(alpha, 0)
      self.lightness = to_tuple(lightness, 0)
      warnings.warn(
          "IAASharpen is deprecated. Please use Sharpen instead",
          FutureWarning,
      )
  
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 1 to create a new IAASharpen object from inherited base classes: ImageOnlyIAATransform with example: obj = IAASharpen(alpha, lightness, always_apply, p)