code: def get_params_dependent_on_targets(self, params):
      hlabel = params["hlabel"]
      mask_name = np.random.choice(self.mask_names, p=self.mask_probs)
      h_pos = np.random.uniform(self.h_low, self.h_high)
      return {"hlabel": hlabel, "mask_name": mask_name, "h_pos": h_pos}
  
imports: import os, sys, datetime
  import numpy
  import os.path
  import albumentations
  from albumentations.core.transforms_interface import ImageOnlyTransform
  from .face_analysis import FaceAnalysis
  from ..utils import get_model_dir
  from ..thirdparty import face3d
  from ..data import get_image
  from ..utils import DEFAULT_MP_NAME
  import cv2
label_desc: Use image node_id 4 for calling the MaskAugmentation obj's underlying member method code with example usage: obj.get_params_dependent_on_targets(params) and returns: dict