scikit-image July 2013

scikit-image@python.org

33 participants
92 discussions

Re: Blog updated
by Juan Nunez-Iglesias 31 Jul '13

31 Jul '13

Yep, very cool posts Chintak! Especially the second one where you turn it up to 11! =) And it really shows the power of numpy, beyond what I realised! On Wed, Jul 31, 2013 at 6:23 AM, Stéfan van der Walt <stefan(a)sun.ac.za>wrote: > The part about einsum is really nice! I propose we add a nice comment > in the code (of your PR) to explain what's happening on that einsum > line, because most people won't have a clue :) > This is definitely true of me! Actually I don't really understand the "real" einsum expression in your blog post, the one doing the SSD computation. Can you explain it in a bit more detail? What's the arrow? Anyway, good stuff. =)

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Re: Contiguous Array
by Marc de Klerk 31 Jul '13

31 Jul '13

Hi guys, I've been using np.ravel(). This morning I tried to lookup the difference between np.ravel() and np.ascontiguousarray(). Does anybody know? Marc On Sunday, July 21, 2013 6:37:47 AM UTC+2, Chintak Sheth wrote: > > Hi Ronnie, > > On Jul 21, 2013 10:00 AM, "Ronnie Ghose" <ronnie...(a)gmail.com<javascript:>> > wrote: > > > > So in skimage/colors why does it matter if the array is contiguous? Is > this for Cython operations later? > > > > Yeah it is mainly for using memory views in Cython which is initialized as > C contiguous. > `cdef some_type[:. ::1] var_name` > > In thus case ::1 is for C contiguous. > > Chintak >

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Re: Blog updated
by Stéfan van der Walt 30 Jul '13

30 Jul '13

Hi Chintak On Tue, Jul 30, 2013 at 10:12 PM, Chintak Sheth <chintaksheth(a)gmail.com> wrote: > https://chintaksheth.wordpress.com/2013/07/31/numpy-the-tricks-of-the-trade… The part about einsum is really nice! I propose we add a nice comment in the code (of your PR) to explain what's happening on that einsum line, because most people won't have a clue :) You can often write einsum as some operation + a reduction over one or more axes. Can this operation be expressed in both ways? If so, which do you find to be more readable and understandable? Thanks! Stéfan

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Blog updated
by Chintak Sheth 30 Jul '13

30 Jul '13

Hi, Blog updated. Any feedback, welcome! https://chintaksheth.wordpress.com/2013/07/30/numpy-the-tricks-of-the-trade… https://chintaksheth.wordpress.com/2013/07/31/numpy-the-tricks-of-the-trade… Chintak

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Request for review: #654
by jostein.floystad＠gmail.com 28 Jul '13

28 Jul '13

Dear core devs, I'd like to ask for review on this PR, https://github.com/scikit-image/scikit-image/pull/654 which will hopefully finish the clean-up of the Radon transform module. Kind regards, Jostein

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euroscipy sprint
by Emmanuelle Gouillart 28 Jul '13

28 Jul '13

Hi all, do we plan to have a scikit-image sprint at Euroscipy in Brussels? There is one day for sprints, Sunday August 25. I'll be there! Anyone else? Cheers, Emmanuelle

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Re: Error executing plot_circular_hough_transform.py
by Ravi Prakash 28 Jul '13

28 Jul '13

Hi Stéfan, I tried with the latest version. It worked fine. Thank you. Hi Tony, I did not understand what r's value should be. Could you please elaborate? I am new to skikit-image as well as numpy. Ravi On Saturday, July 27, 2013 6:10:50 AM UTC+5:30, Tony S Yu wrote: > > > On Jul 26, 2013 8:52 AM, "Stéfan van der Walt" <ste...(a)sun.ac.za<javascript:>> > wrote: > > > > Hi Ravi > > > > On Fri, Jul 26, 2013 at 3:13 PM, Ravi Prakash <praks.p...(a)gmail.com<javascript:>> > wrote: > > > Traceback (most recent call last): > > > File "plot_circular_hough_transform.py", line 69, in <module> > > > image[cy, cx] = (220, 20, 20) > > > IndexError: index 102 is out of bounds for axis 0 with size 95 > > > > > > I am at version skimage 0.8.2, Python 2.7.2+, os: Linux Mint 12 Lisa. > > > > Could you try with the latest version from GitHub? It might have been > > a bug in 0.8.2. > > > > Stéfan > > > > -- > > Just to expand on Stefan's reply: the old implementation (0.8) searched > for any part of the circle in the image, so the center could as much as "r" > outside the image. You can convert the 0.8 result to the 0.9 result with > > hough_result = hough_result[r:-r, r:-r] > > Best, > Tony > > > You received this message because you are subscribed to the Google > Groups "scikit-image" group. > > To unsubscribe from this group and stop receiving emails from it, send > an email to scikit-image...(a)googlegroups.com <javascript:>. > > For more options, visit https://groups.google.com/groups/opt_out. > > > > >

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Re: Error executing plot_circular_hough_transform.py
by Tony Yu 27 Jul '13

27 Jul '13

On Jul 26, 2013 8:52 AM, "Stéfan van der Walt" <stefan(a)sun.ac.za> wrote: > > Hi Ravi > > On Fri, Jul 26, 2013 at 3:13 PM, Ravi Prakash <praks.putchala(a)gmail.com> wrote: > > Traceback (most recent call last): > > File "plot_circular_hough_transform.py", line 69, in <module> > > image[cy, cx] = (220, 20, 20) > > IndexError: index 102 is out of bounds for axis 0 with size 95 > > > > I am at version skimage 0.8.2, Python 2.7.2+, os: Linux Mint 12 Lisa. > > Could you try with the latest version from GitHub? It might have been > a bug in 0.8.2. > > Stéfan > > -- Just to expand on Stefan's reply: the old implementation (0.8) searched for any part of the circle in the image, so the center could as much as "r" outside the image. You can convert the 0.8 result to the 0.9 result with hough_result = hough_result[r:-r, r:-r] Best, Tony > You received this message because you are subscribed to the Google Groups "scikit-image" group. > To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscribe(a)googlegroups.com. > For more options, visit https://groups.google.com/groups/opt_out. > >

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How to get a region chain code?
by Valeriy Sokolov 26 Jul '13

26 Jul '13

Hi, I am studying a shape descriptors and would like to compute a chain code description of a labeled shape. I was trying to look into docs but have not find a direct way to get this region property with skimage. Is there any way to do it in a few calls which I missed? Thank you in advance.

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Error executing plot_circular_hough_transform.py
by Ravi Prakash 26 Jul '13

26 Jul '13

Hi, When I execute plot_circular_hough_transform.py it gives the following error: Traceback (most recent call last): File "plot_circular_hough_transform.py", line 69, in <module> image[cy, cx] = (220, 20, 20) IndexError: index 102 is out of bounds for axis 0 with size 95 I am at version skimage 0.8.2, Python 2.7.2+, os: Linux Mint 12 Lisa. Could you please help me execute this? Please let me know if you need more information about my execution environment. Thank you. Ravi

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scikit-image July 2013