code: def predict(self, input):
      if not os.path.exists(self.output):
          os.makedirs(self.output)
  
      if not U.is_image(input):
          return self.run_video(input)
      else:
          pred_img = self.run_image(input)
  
          out_path = None
          if self.output:
              final = cv2.cvtColor(pred_img, cv2.COLOR_BGR2RGB)
              final = Image.fromarray(final)
              base_name = os.path.splitext(os.path.basename(input))[0]
              out_path = os.path.join(self.output, base_name + ".png")
              final.save(out_path)
              print("save result at {}".format(out_path))
  
          return pred_img, out_path
  
file_path: PaddleHub/modules/image/Image_editing/super_resolution/realsr/module.py
imports: import os
  import cv2
  import glob
  from tqdm import tqdm
  import numpy
  from PIL import Image
  import paddle
  import paddle.nn
  from paddlehub.module.module import moduleinfo, serving
  from .rrdb import RRDBNet
  from .None import utils
label_desc: Use image node_id 6 for calling the RealSRPredictor obj's underlying member method code with example usage: obj.predict(input) and returns: self, pred_img,  out_path