Hi all,
I'm interested in contributing to scikit-image but I am new to scientific
programming. I studied physics in undergrad and have a minor in
bioinformatics. As a result, I'm familiar with oop, data structures, and
algorithms. I'd like some mentorship to get started on actually developing
/ contributing code. I'm interested in image processing for structural
biology applications, and sometimes in my spare time I write scripts for my
current company. However, it is not production-grade, and …
[View More]it is quite
hacky. I'm hoping that through contributing to scikit-image, in whatever
way possible, I can gain some skills and give back in parallel.
According to the scikit-image website, mentoring is available and it seems
like contributing to open source is encouraged. Would anyone be interested
in mentoring me?
Thank you for your time,
Brandon Read
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Hi all.
I wanted to get some feedback regarding some changes to the building of the
docs. Juan asked myself and a colleague Vinicius Cerutti to look after a
feature request (posted on Zulip) for a warning banner when a user is not
on the docs for the most recent release. A nice solution for this would be
https://goerz.github.io/docs_versions_menu/v0.4.1/. This builds on the
efforts of doctr, a tool that, while similar to readthedocs, provides a lot
of flexibility in the build of the …
[View More]documentation: https://drdoctr.github.io/.
The sphinx theme (alabaster) used by doctr is quite similar to the current
theme used for the scikit-image docs so there won't be too much of a change
to the aesthetics of the site.
How do people feel about such a change? The alternative would be to add a
custom javascript snippet to implement this... that would be an easy enough
quick fix if people aren't fans of such a docs-infrastructure migration,
Thanks,
John
--
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*John Lee*
Software Engineer
*Quansight* | Your Data Experts
w: www.quansight.com <http://www.openteams.com/> e: john.lee(a)quansight.com
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<https://www.linkedin.com/company/quansight/>
<https://twitter.com/quansightai>
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Hi,
I am new to open source and would like to contribute to scikit image. I
couldn't find scikit methods to evaluate contrast measures. Image quality
metrics like EME, EMEE, AME etc are helpful in writing contrast enhancement
algorithms. I would like to know if it is something scikit-image interested
in and if so how should I proceed?
Specifically I am talking about Table 1 of
https://doi.org/10.1109/TCE.2013.6626251. It summarises commonly used gray
scale measures.
Regards,
Lafith Mattara
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