add declaration

modules/image/Image_gan/gan/photopen/module.py

@@ -40,17 +40,18 @@ class Photopen:
         self.network = PhotoPenPredictor(weight_path=self.pretrained_model, gen_cfg=cfg.predict)
 
     def photo_transfer(self,
-                       images=None,
-                       paths=None,
-                       output_dir='./transfer_result/',
-                       use_gpu=False,
-                       visualization=True):
+                       images: list = None,
+                       paths: list = None,
+                       output_dir: str = './transfer_result/',
+                       use_gpu: bool = False,
+                       visualization: bool = True):
         '''
         images (list[numpy.ndarray]): data of images, shape of each is [H, W, C], color space must be BGR(read by cv2).
         paths (list[str]): paths to images
-        output_dir: the dir to save the results
-        use_gpu: if True, use gpu to perform the computation, otherwise cpu.
-        visualization: if True, save results in output_dir.
+
+        output_dir (str): the dir to save the results
+        use_gpu (bool): if True, use gpu to perform the computation, otherwise cpu.
+        visualization (bool): if True, save results in output_dir.
         '''
         results = []
         paddle.disable_static()