Update app.py

app.py

@@ -22,12 +22,14 @@ labels = list(id2label.values())
 def classify_video(video_path):
     # Decode and sample frames
     decoder = VideoDecoder(video_path)
-    clip = clips_at_random_indices(
-        decoder,
-        num_clips=1,
-        num_frames_per_clip=model.config.frames_per_clip,
-        num_indices_between_frames=3,
-    ).data
+    frame_idx = np.arange(0, model.config.frames_per_clip, 2) # you can define more complex sampling strategy
+    clip = vr.get_frames_at(indices=frame_idx).data
+    # clip = clips_at_random_indices(
+    #     decoder,
+    #     num_clips=1,
+    #     num_frames_per_clip=model.config.frames_per_clip,
+    #     num_indices_between_frames=3,
+    # ).data
 
     # Preprocess & move to the same device as the model
     crop = v2.CenterCrop((processor.crop_size["height"], processor.crop_size["width"]))