fix output of inference

app.py

@@ -122,6 +122,8 @@ def run_model(target_dir, model) -> dict:
     extrinsic, intrinsic = pose_encoding_to_extri_intri(predictions["pose_enc"].unsqueeze(0) if predictions["pose_enc"].ndim == 2 else predictions["pose_enc"], images.shape[-2:])
     predictions["extrinsic"] = extrinsic
     predictions["intrinsic"] = intrinsic
+    print("Extrinsic shape:", predictions["extrinsic"].shape)
+    print("Intrinsic shape:", predictions["intrinsic"].shape)
 
     # Convert tensors to numpy
     for key in predictions.keys():