Excellent, it sounds like this will be a good home for our code. Some broad strokes moving forward: Our plan is to first complete the ARDENT package for a neurodata workshop starting on August 19. For the rest of August we will be refining it based on feedback. At the beginning of September we will begin refactoring our implementation of the underlying algorithm to be in compliance with Scikit-Image dependencies. We may have a team of biomedical engineering students contributing at the semester's onset that month. Once this is complete, we will reach out again for input on refactoring the interface to adhere to the Scikit-Image style. Looking forward to working with you! - Devin On Fri, Jul 5, 2019 at 3:40 PM Stefan van der Walt <stefanv@berkeley.edu> wrote:
Hi Devin,
The second thing is that our method does not require ITK, a large and difficult codebase. All substantial computations are either interpolation or FFT. Because of this, we don't rely on any functionality from pytorch other
On Fri, 05 Jul 2019 10:53:50 -0400, Devin Crowley wrote: than
FFT and interpolation, which are both available in scipy. Pytorch is only used because it makes GPU easy.
We'd like to contribute, and we may have a small team of undergraduate biomedical engineering students who can contribute starting in the Fall. Would reaching out to Juan directly be the best way to get started?
Fantastic! As others mentioned, we are very interested in this functionality, and would enjoy working with your team to integrate your contribution.
You can read more about contributing to scikit-image here: https://scikit-image.org/docs/stable/contribute.html
The long and short of it is that you can proceed by making one or more pull requests to the repository, where it will be reviewed by the development team. It sometimes takes a while of iterative development and conversation to get everything into shape, but hopefully since you already have working code this won't take too long.
Please take a look at the references given by Juan also: we would appreciate feedback on the registration interfaces proposed.
Best regards, Stéfan _______________________________________________ scikit-image mailing list -- scikit-image@python.org To unsubscribe send an email to scikit-image-leave@python.org