Mailman 3 December 2014 - scikit-image

peak detectors
by Emmanuelle Gouillart Dec. 17, 2014

Dec. 17, 2014

Hi list, just a quick survey: which algorithms are you using for peak detection (detection of local maxima in a grayscale image), and which ones are you most satisfied of? We were wondering about the existence of good peak detectors during the scikit-image sprint, following difficulties with existing ones such as our feature.peak_local_max (see for example the discussion in https://github.com/scikit-image/scikit-image/pull/1248). Cheers, Emma

6 5

Re: Pattern and object recognition with COSFIRE
by Pratap Vardhan Dec. 16, 2014

Dec. 16, 2014

I found few copies of the paper hosted by universities. I haven't checked if these are the actual pre-prints - However, by the citation it looks like it. http://iwi.eldoc.ub.rug.nl/FILES/root/2013/IEEETPAMIAzzopardi/2013IEEETPAMI… http://bmia.bmt.tue.nl/Education/Courses/FEV/course/pdf/pami2013cosfire.pdf Pratap On Tuesday, December 16, 2014 5:17:19 PM UTC+5:30, Stefan van der Walt wrote: > > On Tue, Dec 16, 2014 at 1:35 PM, Pratap Vardhan <prat...(a)gmail.com > <javascript:>> wrote: > > Here's the original PAMI paper > > http://www.computer.org/csdl/trans/tp/2013/02/ttp2013020490.pdf > > Unfortunately, that paper is behind a pay-wall. Perhaps we can > request a pre-print from the author. > > Stéfan >

2 1

Generating a painting from a picture
by Rishabh Raj Dec. 15, 2014

Dec. 15, 2014

Hey, I'm working on a project in which the objective is to create a painting from a picture taken with a normal camera. This painting could be an oil painting or we could try and mimic some specific artist. I understand this might not be achievable in a very good way by just image processing itself but I'm curious about what is achievable with stroke and simple pattern recognition for a base result. Is there support in scikit-image along these lines? Any other inputs are welcome. Best, Rishabh

5 5

Re: can not load / use functions from skimage.feature
by Josh Warner Dec. 14, 2014

Dec. 14, 2014

AFAIK the name switch which removed the plural and added the dash happened in the transition from 0.7.x to 0.8. That’s a long time ago; around my first PR! It’s a long time in advance of the addition of the blob_* functions. I think it’s possible Chris Gohlke maintained installers separately for the old name until recently. If so, you probably have version 0.7ish. To let us know your version number, open a Python shell and run >>> import skimage>>> print skimage.__version__ (In any event, switching to the Anaconda distribution would almost certainly fix this and allow painless updates to the entire ecosystem… without even requiring elevated privileges!) Josh On Saturday, December 13, 2014 11:52:58 AM UTC-6, Stefan van der Walt wrote: On Sat, Dec 13, 2014 at 3:45 PM, Juan Nunez-Iglesias wrote: > > Stéfan, the blob_* functions are supposed to be in 0.10 and up... > > Alright, then further investigation is needed. Hans, can you let us > know your version number? > > Stéfan >

1 0

substitute for imsubtract
by Pratap Vardhan Dec. 14, 2014

Dec. 14, 2014

if a = np.array([ [255,10,75], [44, 225, 100]], dtype=np.uint8) b = np.array([ [50, 50, 50],[50, 50, 50] ], dtype=np.uint8) can (a.astype(int) - b.astype(int)).clip(0, 255) be good substitute for imsubtract function? If so or not so, is there a need to have this kind of function in skimage library?

2 1

Re: can not load / use functions from skimage.feature
by Stéfan van der Walt Dec. 13, 2014

Dec. 13, 2014

On Sat, Dec 13, 2014 at 3:45 PM, Juan Nunez-Iglesias <jni.soma(a)gmail.com> wrote: > Stéfan, the blob_* functions are supposed to be in 0.10 and up... Alright, then further investigation is needed. Hans, can you let us know your version number? Stéfan

1 0

can not load / use functions from skimage.feature
by hans peter Dec. 13, 2014

Dec. 13, 2014

Hi there, I running Windows 7 (64bit) with WinPython 2.7* NumPy 1.8.1, SciPy 0.13.3, Matplotlib 1.3.1 guidata 1.6.1, guiqwt 2.3.2 Cython‑0.21.1* and the skimage from http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikits.image ( pre compiled ) Also the python path is correct set ( Path and Pythonpath ) The basic example from the website works fine but after I tryed to import *from skimage.feature import blob_dog, blob_log, blob_doh*I got different error messages, so I installed and unistalled every thing but nothing works. My current error message after try to import skimage.featrue >>> Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: cannot import name blob_dog I also had some messages like, could not find .corner and .hough and so on I have absolutly no clue how to solve this .. would be nice if someone could help thanks

3 3

skimage v0.11 sprint is underway
by Stefan van der Walt Dec. 13, 2014

Dec. 13, 2014

Hi everyone A reminder that we are sprinting on scikit-image v0.11 this weekend! We're working towards this milestone: https://github.com/scikit-image/scikit-image/milestones/0.11 Follow the events here: https://gitter.im/scikit-image/scikit-image See you there! Stéfan

1 0

Re: How do you keep documentation so nice?
by Stefan van der Walt Dec. 12, 2014

Dec. 12, 2014

Hi Adam On 2014-12-12 19:46:55, Adam Hughes <hughesadam87(a)gmail.com> wrote: > Wait, so github is hosting scikitimage.org? > > To my (outdated) understanding, one had to use a gh-pages branch for github > to find the documentations. If I were to put the docs in the package > master branch as you've done, how can github find a hook to host the site? If you name the repository orgname.github.io, then you can push into the master branch, IIRC. Regards Stéfan

1 0

Travis-wheels fix?
by Juan Nunez-Iglesias Dec. 12, 2014

Dec. 12, 2014

A bunch of Travis errors are being caused (apparently) by travis-wheels.scikit-image.org not responding. I haven't been following the discussion closely, but my question is, do we need to get rid of it for the Travis build so that we can have a stable build system at the sprint? Or do we perhaps want to add a condition to use regular pip builds if travis-wheels is unavailable?

3 5