Thank you Stéfan, I just copied the summary on https://github.com/scikits-image/scikits-image/wiki/Euroscipy-2012-sprint Who is going to participate to the sprint, eventually? If you plan to participate, please add you name on the wiki page. Cheers, Emmanuelle On Thu, Aug 16, 2012 at 02:53:00PM -0700, Stéfan van der Walt wrote:
Thanks for all the suggestions. Here then is the latest sprint summary:
SPRINT: scikits-image
What? scikits-image is a collection of algorithms for image processing. See http://scikits-image.org/ for more detail.
When? Both on Mon Aug 27 and Tue Aug 28
Whom to contact? Stéfan van der Walt (stefan@sun.ac.za)
Tasks
There are a few outstanding issues that can be fixed easily: https://github.com/scikits-image/scikits-image/issues?labels=quickfix
Ideas for the sprint:
- Add text, anti-aliasing to the draw module - Add Bezier curves to the draw module (see the PDF linked from http://free.pages.at/easyfilter/bresenham.html) - Integrate Tony's visualization tools, and use them to write a plugin, or fine-tune the existing Hough parameter space explorer - Add binary features (BRIEF, BRISK, FREAK, LAZY) http://computer-vision-talks.com/2011/08/feature-descriptor-comparison-repor... - Camera calibration Start from https://gist.github.com/3348000 and http://bazaar.launchpad.net/~astraw/pinpoint/dev/files/ - Better video loading - Update the user guide We need a “Getting started” section, guiding a user through a typical workflow: 1. Load an image 2. Try using a feature detector or transform. 3. Realize that it didn't perform ideally. Now try smoothing or denoising (or something else). 4. Successfully find feature. 5. Save feature as some sort of data file. - Add imread_collection to all imread plugins.
Outstanding challenges:
- Blurring kernel estimation (http://bit.ly/Nril3u) - “Sudoku challenge” (http://stackoverflow.com/questions/10196198/how-to-remove-convexity-defects-...)
Specific examples to be implemented:
- Corner detection (http://stackoverflow.com/questions/8686926/python-image-processing-help-need...)
participants (1)
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Emmanuelle Gouillart