code: def __init__(
      self,
      height_min=0.2,
      height_max=0.4,
      width_min=0.5,
      always_apply=False,
      p=1.0,
  ):
      super(ForeHeadAugmentation, self).__init__(always_apply, p)
      assert height_max > height_min
      # assert limit>0.0 and limit<1.0
      self.height_min = height_min
      self.height_max = height_max
      self.width_min = width_min
  
imports: import numpy
  import cv2
  import os
  import os.path
  import albumentations
  from albumentations.core.transforms_interface import ImageOnlyTransform
  from albumentations.pytorch import ToTensorV2
label_desc: Use image node_id 1 to create a new ForeHeadAugmentation object from inherited base classes: ImageOnlyTransform with example: obj = ForeHeadAugmentation(height_min, height_max, width_min, always_apply, p)