test

app.py

@@ -212,9 +212,12 @@ def run_spatial_tracker(video_tensor: torch.Tensor):
         Dictionary containing tracking results
     """
     # Run VGGT to get depth and camera poses
+    global vggt4track_model
+    global tracker_model
+    global wan_pipeline
+
     video_input = preprocess_image(video_tensor)[None].cuda()
 
-    vggt4track_model.eval()
     vggt4track_model = vggt4track_model.to("cuda")
 
     with torch.no_grad():