code: def run_image(self, img):
      if isinstance(img, str):
          ori_img = Image.open(img).convert("LA").convert("RGB")
      elif isinstance(img, np.ndarray):
          ori_img = Image.fromarray(img).convert("LA").convert("RGB")
      elif isinstance(img, Image.Image):
          ori_img = img
  
      img = self.norm(ori_img, self.render_factor)
      x = paddle.to_tensor(img[np.newaxis, ...])
      out = self.model(x)
  
      pred_img = self.denorm(out.numpy()[0])
      pred_img = Image.fromarray(pred_img)
      pred_img = pred_img.resize(ori_img.size, resample=Image.BILINEAR)
      pred_img = self.post_process(pred_img, ori_img)
      pred_img = cv2.cvtColor(pred_img, cv2.COLOR_RGB2BGR)
      return pred_img
  
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 5 for calling the DeOldifyPredictor obj's underlying member method code with example usage: obj.run_image(img) and returns: pred_img