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Speeed #353
Speeed #353
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OK if I pull out the nnunet model changes to a different PR? |
@akhanf i'm wondering if you can help me with this wetrun issue:
Some thoughts I had:
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moved to PR #356 (branch: untar-model)
sure was just about to have a look at this branch now anyways.. |
fyi, I just merged in some upstream changes/fixes (most notably the PR to revert workdir back to original location by default), this might have given you some headaches when writing work to the new temp folder each time.. |
was getting bounding box errors with previous approach, when the vertices were clearly within the bounding box..
I actually have no idea why it is complaining about the bounding box here, as even using the wb_command file-information and surface-information the vertices are well withing the bounding box of the volume.. I've also encountered this intermittently before with some surfaces in this rule.. So I've come up with a workaround that still uses workbench to generate the surfaces - it uses the ability to get and set vertex coordinates (as metric giftis), and I just use metric math to add the warp to the coords.. Could've also just use nibabel, but this ended up being faster for me to implement.. |
The other thing I've noticed is the unfold greedy registration probably needs to be regularized much more.. we could perhaps optimize parameters (and registration algorithm, including ANTS) using experiments similar to your unfoldreg paper (ie optimize based on subfield Dice) in another PR.. |
btw the laplace beltrami outputs look great!! |
also renamed laplace-beltrami.py to laplace_beltrami.py for consistency
heh this is a funny solution, but glad it works! do you think its worth posting as a wb_command issue? |
perhaps we also want to use the |
This PR is looking good to me! Perhaps we could go ahead and merge this PR and start some new ones for
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couple comments - I forgot to hit enter on these earlier --
Minor:
untar of nnunet models is run at download, and replaced withln -s
on each subsequent useMajor:
TODO: