code: def synthesize(self, img_HD, img_HD_prev):
      h, w, _ = img_HD.shape
  
      img = cv2.resize(img_HD, self.in_size)
      img = np.array(img, dtype=np.float32)
      img = img.transpose(2, 0, 1)
      img = img[np.newaxis, ...]
      img = paddle.to_tensor(img)
  
      G_pred = self.model(img)
      G_pred = paddle.nn.functional.interpolate(
          G_pred, (h, w), mode="bicubic", align_corners=False
      )
      G_pred = G_pred[0, :].transpose([1, 2, 0])
      G_pred = paddle.concat([G_pred, G_pred, G_pred], axis=-1)
      G_pred = G_pred.detach().numpy()
      G_pred = np.clip(G_pred, a_max=1.0, a_min=0.0)
  
      skymask = self.skyboxengine.skymask_refinement(G_pred, img_HD)
      syneth = self.skyboxengine.skyblend(img_HD, img_HD_prev, skymask)
  
      return syneth, G_pred, skymask
  
file_path: PaddleHub/modules/video/Video_editing/SkyAR/skyfilter.py
imports: import os
  import cv2
  import paddle
  import numpy
  from .skybox import SkyBox
label_desc: Use image node_id 2 for calling the SkyFilter obj's underlying member method code with example usage: obj.synthesize(img_HD, img_HD_prev) and returns: syneth,  G_pred,  skymask