code: def get_params(self):
      height = np.random.uniform(self.height_min, self.height_max)
      width = np.random.uniform(self.width_min, 1.0)
      left = np.random.uniform(0.0, 1.0 - width)
      return {"height": height, "width": width, "left": left}
  
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 3 for calling the ForeHeadAugmentation obj's underlying member method code with example usage: obj.get_params() and returns: dict