code: def predict(self, image: np.ndarray, mask: np.ndarray) -> np.ndarray:
      return self.predictor.predict(image, mask)
  
file_path: carefree-learn/cflearn/api/cv/third_party/iharm/api.py
imports: import numpy
  from typing import Union
  from PIL.Image import Image
  from cftool.cv import read_image
  from .inference.utils import load_model
  from .inference.predictor import Predictor
  from .....misc.toolkit import download_model
label_desc: Use image node_id 3 for calling the ImageHarmonizationAPI obj's underlying member method code with example usage: obj.predict(image, mask) and returns: self