scripts.mnd.image: get_mask returns ndarray

src/tirl/scripts/mnd/image.py

@@ -77,7 +77,7 @@ def get_mask(img, scope=None, **maskparammodule):
         mask.reduce_tensors()
         if q.normalise:
             mask = mask / np.max(mask.data)
-        return mask
+        return mask.data
 
     # Create mask by calling a function in 'scope'
     elif q.function is not None: