code: def predict(self, image: np.ndarray) -> np.ndarray:
      # Preprocess
      input_blob = (image[0] * 255).astype(
          np.uint8
      )  # revert the image to original format and preprocess using the model
  
      # Forward
      embeddings = self.model.feature(input_blob)
  
      return embeddings
  
file_path: deepface/deepface/basemodels/SFace.py
imports: import os
  from typing import Any
  import numpy
  import cv2
  import gdown
  from deepface.commons import functions
  from deepface.commons.logger import Logger
label_desc: Use image node_id 2 for calling the SFaceModel obj's underlying member method code with example usage: obj.predict(image) and returns: embeddings