classification to classify

hub_module/modules/video/classification/videotag_tsn_lstm/README.md

@@ -15,7 +15,7 @@ hub run videotag_tsn_lstm --input_path 1.mp4 --use_gpu False
 
 ## API
 ```python
-def classification(paths,
+def classify(paths,
                    use_gpu=False,
                    threshold=0.5,
                    top_k=10)
@@ -45,7 +45,7 @@ import paddlehub as hub
 videotag = hub.Module(name="videotag_tsn_lstm")
 
 # execute predict and print the result
-results = videotag.classification(paths=["1.mp4","2.mp4"], use_gpu=True)
+results = videotag.classify(paths=["1.mp4","2.mp4"], use_gpu=True)
 print(results)
 ```
 

hub_module/modules/video/classification/videotag_tsn_lstm/module.py

@@ -126,11 +126,10 @@ class VideoTag(hub.Module):
     @runnable
     def run_cmd(self, argsv):
         args = self.parser.parse_args(argsv)
-        results = self.classification(
-            paths=[args.input_path], use_gpu=args.use_gpu)
+        results = self.classify(paths=[args.input_path], use_gpu=args.use_gpu)
         return results
 
-    def classification(self, paths, use_gpu=False, threshold=0.5, top_k=10):
+    def classify(self, paths, use_gpu=False, threshold=0.5, top_k=10):
         """
         API of Classification.