Do we need to redo scv.pp.filter_and_normalize() if using the Scanpy processed data?

Hello scVelo,
I use Scanpy to process the data (already normalized, HVG, scaled, PCAed…UMAP). And then I do scVelo on this processed data.
However, I found that that scVelo tutorial mentioned that “Filtering and normalization is applied in the same vein to spliced/unspliced counts and X.” It means scVelo needs the normalized spliced/unspliced data.
I’m wondering whether Scanpy did this normalization for spliced/unspliced data and do we need to redo scv.pp.filter_and_normalize() on the Scanpy processed data?
Thanks!
Best,
YJ