code: def __init__(
      self,
      fill_value=0,
      limit=0.3,
      always_apply=False,
      p=1.0,
  ):
      super(RectangleBorderAugmentation, self).__init__(always_apply, p)
      assert limit > 0.0 and limit < 1.0
      self.fill_value = 0
      self.limit = limit
  
file_path: insightface/alignment/synthetics/datasets/augs.py
imports: import numpy
  import albumentations
  from albumentations.core.transforms_interface import ImageOnlyTransform
label_desc: Use image node_id 1 to create a new RectangleBorderAugmentation object from inherited base classes: ImageOnlyTransform with example: obj = RectangleBorderAugmentation(fill_value, limit, always_apply, p)