code: def predict(self, input):
      if not U.is_image(input):
          return self.run_video(input)
      else:
          pred_img = self.run_image(input)
  
          if self.output:
              base_name = os.path.splitext(os.path.basename(input))[0]
              out_path = os.path.join(self.output, base_name + ".png")
              cv2.imwrite(out_path, pred_img)
          return pred_img, out_path
  
imports: import glob
  import os
  import cv2
  import numpy
  import paddle
  import paddle.nn
  from PIL import Image
  from tqdm import tqdm
  from .None import utils
  from .base_module import build_model
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import serving
label_desc: Use image node_id 7 for calling the DeOldifyPredictor obj's underlying member method code with example usage: obj.predict(input) and returns: self, pred_img,  out_path