update hf link

app.py

@@ -125,6 +125,7 @@ def run_model(target_dir, model, anchor_size=100) -> dict:
     ]  # a
     del predictions_s
 
+
     # Convert tensors to numpy
     for key in predictions.keys():
         if isinstance(predictions[key], torch.Tensor):

visual_util.py

@@ -68,6 +68,8 @@ def predictions_to_glb(
         except (ValueError, IndexError):
             pass
 
+    for k,v in predictions.items():
+        print(f"{k} has {np.isnan(v).sum()} nan values")
     if "Pointmap" in prediction_mode:
         print("Using Pointmap Branch")
         if "world_points" in predictions: