diff --git a/dygraph/bmn/bmn.yaml b/dygraph/bmn/bmn.yaml
index e16fa53bc01c4a94fcfb9781091443fa4e55775c..dbcb2f649ffdb2e612b76abcb415dcc27e10bd61 100644
--- a/dygraph/bmn/bmn.yaml
+++ b/dygraph/bmn/bmn.yaml
@@ -6,7 +6,7 @@ MODEL:
   prop_boundary_ratio: 0.5
   num_sample: 32
   num_sample_perbin: 3
-  anno_file: "../../PaddleCV/PaddleVideo/data/dataset/bmn/activitynet_1.3_annotations.json"
+  anno_file: "../../PaddleCV/video/data/dataset/bmn/activitynet_1.3_annotations.json"
   feat_path: './fix_feat_100'
 
 TRAIN:
diff --git a/dygraph/bmn/reader.py b/dygraph/bmn/reader.py
index 11209fee20c6f7e9fb84c98441eb1ff0796b307a..d76ff5e578213d7736d7cdf62a56d48394b813a9 100644
--- a/dygraph/bmn/reader.py
+++ b/dygraph/bmn/reader.py
@@ -48,7 +48,7 @@ class BMNReader():
 
     def get_dataset_dict(self):
         assert (os.path.exists(self.feat_path)), "Input feature path not exists"
-        assert (os.listdir(self.feat_path)), "Input feature file not exists"
+        assert (os.listdir(self.feat_path)), "No feature file  in feature path"
         self.video_dict = {}
         if self.mode == "infer":
             annos = json.load(open(self.file_list))
@@ -64,6 +64,10 @@ class BMNReader():
         self.video_list.sort()
         print("%s subset video numbers: %d" %
               (self.subset, len(self.video_list)))
+        video_name_set = set(
+            [video_name + '.npy' for video_name in self.video_list])
+        assert (video_name_set.intersection(set(os.listdir(self.feat_path))) ==
+                video_name_set), "Input feature not exists in feature path"
 
     def get_match_map(self):
         match_map = []