scikit-image November 2017

scikit-image@python.org

18 participants
40 discussions

Re: [scikit-image] Determine different grass percentage
by Stefan van der Walt 13 Nov '17

13 Nov '17

On Sun, Nov 12, 2017, at 23:18, Dzung Nguyen wrote: > How about labeling manually a dataset for training, then let machine > learning do the rest (of course local binary pattern could be used as > feature)? You will definitely need some ground truth data; both for training, and for evaluating any system you come up with. Stéfan

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Re: [scikit-image] Determine different grass percentage
by Eduard Ethan Carrés Hidalgo 13 Nov '17

13 Nov '17

Not sure you will be able to do this that easily, but I cannot figure better ways to try. I'll be very interested if you're able to generate good results! *Ethan Carrés Hidalgo* <http://es.linkedin.com/in/eduardethancarres> 2017-11-13 8:18 GMT+01:00 Dzung Nguyen <dzungng89(a)gmail.com>: > How about labeling manually a dataset for training, then let machine > learning do the rest (of course local binary pattern could be used as > feature)? > > By labeling, I mean for each image draw the region where there are grass, > and the region where there are cover. > > On Mon, Nov 6, 2017 at 4:15 AM, Zhenjiang Zhou <zhenjiang.zhou(a)slu.se> > wrote: > >> Hi there, >> >> I am new python user, trying to use python to solve a question in my >> research, which is simple but not easy question: >> >> >> >> The attached image is mixture of two plants: grass and clover, grass is >> the one with long leaf, clover is the one with round leaf. >> >> So they have different shape, but very similar color >> >> >> >> So the question is how to use python to estimate the percentage of each >> plant in the whole image (%) >> >> >> >> From the literature, local binary pattern might be used, but I am not so >> sure it can do good job here. >> >> Any help is highly appreciated, I can say that this question is a big >> issue in my research area. >> >> Looking forwards to your reply. >> >> >> >> Zhenjiang Zhou >> >> Postdoc >> >> *Swedish University of Agricultural Sciences* >> >> Department of Agricultural Research for Northern Sweden >> 901 83 UMEÅ >> Sweden >> Visiting address: Skogsmarksgränd >> Phone:+46 90-786 8731 <+46%2090%20786%2087%2031> >> >> *zhenjiang.zhou(a)slu.se <zhenjiang.zhou(a)slu.se> *[image: >> slu-logo-rgb-web-medium] >> >> >> >> _______________________________________________ >> scikit-image mailing list >> scikit-image(a)python.org >> https://mail.python.org/mailman/listinfo/scikit-image >> >> > > > -- > *Dzung Nguyen* > > PhD Student > Electrical Engineering and Computer Science, > Northwestern University, IL, USA > http://users.eecs.northwestern.edu/~dtn419/ > > _______________________________________________ > scikit-image mailing list > scikit-image(a)python.org > https://mail.python.org/mailman/listinfo/scikit-image > >

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Determine different grass percentage
by Zhenjiang Zhou 13 Nov '17

13 Nov '17

Hi there, I am new python user, trying to use python to solve a question in my research, which is simple but not easy question: The attached image is mixture of two plants: grass and clover, grass is the one with long leaf, clover is the one with round leaf. So they have different shape, but very similar color So the question is how to use python to estimate the percentage of each plant in the whole image (%) >From the literature, local binary pattern might be used, but I am not so sure it can do good job here. Any help is highly appreciated, I can say that this question is a big issue in my research area. Looking forwards to your reply. Zhenjiang Zhou Postdoc Swedish University of Agricultural Sciences Department of Agricultural Research for Northern Sweden 901 83 UMEÅ Sweden Visiting address: Skogsmarksgränd Phone:+46 90-786 8731 zhenjiang.zhou(a)slu.se<mailto:zhenjiang.zhou@slu.se> [slu-logo-rgb-web-medium]

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Re: [scikit-image] Interested in Contributing to scikit-image
by Egor Panfilov 13 Nov '17

13 Nov '17

Hello Kumar, Thanks for your interest in `scikit-image`! Firstly, we've a very informative guide on contribution proccess in http://scikit-image.org/docs/dev/contribute.html . Secondly, we've a wide variety of open issues, feature requests, and enhancement proposals. You can look through them at https://github.com/scikit-image/scikit-image/issues, and select one in accordance with your expertise in Python and image processing. For the beggining, I'd recommend to start with GitHub issues marked with `difficulty: novice` or `type: documentation` tag. This should help you to get better acquainted with the contribution proccess, as well as with `scikit-image` codebase. Good luck! :) Regards, Egor Panfilov 2017-11-12 2:05 GMT+03:00 Kumar Ashutosh <kumar.ashutosh.ee(a)gmail.com>: > Hello, > > I found this project quite interesting. I am interested in contributing to > the repository. Can anyone of you guide me on how can I start contribution > and what part of the project is being majorly worked upon? > I am currently contributing to scikit-learn, with approximately 9 bugs > solved and a few being reviewed. > > Thanks, > > Kumar Ashutosh > Undergraduate > IIT Bombay > India > ᐧ > > _______________________________________________ > scikit-image mailing list > scikit-image(a)python.org > https://mail.python.org/mailman/listinfo/scikit-image > >

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Re: [scikit-image] Install scikit image
by Egor Panfilov 13 Nov '17

13 Nov '17

Hello Ahmed, I'll second the recommendation from the error message, and strongly suggest you to go through our detailed installation guide - http://scikit-image.org/docs/dev/install.html . For Windows, it is, typically, much easier to setup `numpy`, `scipy`, `scikit-image` and other libraries shipping Cython code either using `conda` package manager, or pre-build wheel packages from https://www.lfd.uci.edu/~gohlke/pythonlibs/ . Regards, Egor 2017-11-07 11:48 GMT+03:00 ahmed barbouche <ahmed.barbouche1(a)gmail.com>: > Hello , > > I'm adressing to have some help about how to install scikit image library > correctly. > > I installed python 2.7.14 , with the compiler vs c++ for python. > > I also make pip install scikit image, it work , it installed setuptools , > spy ... but at the end ,it show error in c++ code ... then when i runed my > program it showed > " your install of scikit image seems to be broken ... ". > > I tryed to fix some hide c++ file in folder named 'c++ for python' but > just the code of error change .i tried also to change version of python to > python 3 but the same things appear. > > Can you help me please . > Enclosed some image shown the issue > > > > > Best regards , > > Barbouche ahmed > > > _______________________________________________ > scikit-image mailing list > scikit-image(a)python.org > https://mail.python.org/mailman/listinfo/scikit-image > >

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Re: [scikit-image] Python 3 transition
by Johannes Schönberger 12 Nov '17

12 Nov '17

Hi, This sounds like a good plan to me. This means that Python 2 is still supported and up to date for at least another year with scikit-image, but internally we can already start taking advantage of Python 3 features. Also, I have the feeling that there is already relatively good Python 3 support in the scientific community at this point. It will only get better in another year when we release 0.15. Cheers, Johannes > On Nov 11, 2017, at 7:33 AM, Stefan van der Walt <stefanv(a)berkeley.edu> wrote: > > Hi, everyone > > I'd like to make a 4th attempt to determine our transition pathway to > Python 3. The last thread is here: > > https://mail.python.org/pipermail/scikit-image/2017-July/005304.html > > I would like to propose that the next version, 0.14 (scheduled for March > of next year), becomes the last targeted for Python 2. It will also be > an LTS (Long Time Support), which means we will backport serious fixes > for a period of one year. 0.15 will then target Python >= 3.5 only > (sorry, no f-strings yet!). > > Let me know your thoughts. > > Stéfan > _______________________________________________ > scikit-image mailing list > scikit-image(a)python.org > https://mail.python.org/mailman/listinfo/scikit-image

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Re: [scikit-image] 回复： Python 3 transition
by Stefan van der Walt 12 Nov '17

12 Nov '17

Please continue any discussion of the issue on the original thread; I'll respond there. On Sun, Nov 12, 2017, at 06:05, Egor Panfilov wrote: > Hi all, > > I'd also support this decision. > For information, here is an another link to a related discussion - > https://groups.google.com/forum/#!msg/scikit-image/7aH6hshJJg0/ykjxdZ8uMQAJ > .> > Juan, > I don't think we're there yet for 1.0, though :). From my standpoint, > several important aspects (metaparams handling, API, xy->rc, etc) have > to be addressed first (see `discussion` tag on GitHub).> > Stefan, > Has the schedule been changed? I remember we were planning to release > 0.14 in November 2017 (see > https://mail.python.org/pipermail/scikit-image/2017-September/005352.html).> > Regards, > Egor Panfilov > > 2017-11-12 2:55 GMT+03:00 Juan Nunez-Iglesias <jni.soma(a)gmail.com>: >> I agree. I would suggest backporting bugfixes to 0.14 for 2 years, or >> not naming it LTS because 1y is not “long term” by most definitions.>> >> imho we should aim for 1.0 for this time next year and maybe *that* >> can depend on Python >= 3.6. =)>> >> Juan. >> >> On 11 Nov 2017, 6:52 PM +1100,imagepy(a)sina.com, wrote: >> >>> Just my own opinion. we can give up python2.x -- YXDragon >>> >>> ----- 原始邮件 ----- >>> 发件人：Stefan van der Walt <stefanv(a)berkeley.edu> >>> 收件人：scikit-image(a)python.org >>> 主题：[scikit-image] Python 3 transition >>> 日期：2017年11月11日 14点34分 >>> >>> Hi, everyone >>> I'd like to make a 4th attempt to determine our transition >>> pathway to>>> Python 3. The last thread is here: >>> https://mail.python.org/pipermail/scikit-image/2017-July/005304.html>>> I would like to propose that the next version, 0.14 (scheduled for >>> March>>> of next year), becomes the last targeted for Python 2. It will >>> also be>>> an LTS (Long Time Support), which means we will backport serious >>> fixes>>> for a period of one year. 0.15 will then target Python >= 3.5 only>>> (sorry, no f-strings yet!). >>> Let me know your thoughts. >>> Stéfan >>> _______________________________________________ >>> scikit-image mailing list >>> scikit-image(a)python.org >>> https://mail.python.org/mailman/listinfo/scikit-image >>> _______________________________________________ >>> scikit-image mailing list >>> scikit-image(a)python.org >>> https://mail.python.org/mailman/listinfo/scikit-image >> >> >> _______________________________________________ >> scikit-image mailing list >> scikit-image(a)python.org >> https://mail.python.org/mailman/listinfo/scikit-image >> > _________________________________________________ > scikit-image mailing list > scikit-image(a)python.org > https://mail.python.org/mailman/listinfo/scikit-image

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回复： Python 3 transition
by imagepy＠sina.com 12 Nov '17

12 Nov '17

Just my own opinion. we can give up python2.x -- YXDragon ----- 原始邮件 ----- 发件人：Stefan van der Walt <stefanv(a)berkeley.edu> 收件人：scikit-image(a)python.org 主题：[scikit-image] Python 3 transition 日期：2017年11月11日 14点34分 Hi, everyone I'd like to make a 4th attempt to determine our transition pathway to Python 3. The last thread is here: https://mail.python.org/pipermail/scikit-image/2017-July/005304.html I would like to propose that the next version, 0.14 (scheduled for March of next year), becomes the last targeted for Python 2. It will also be an LTS (Long Time Support), which means we will backport serious fixes for a period of one year. 0.15 will then target Python >= 3.5 only (sorry, no f-strings yet!). Let me know your thoughts. Stéfan _______________________________________________ scikit-image mailing list scikit-image(a)python.org https://mail.python.org/mailman/listinfo/scikit-image

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Interested in Contributing to scikit-image
by Kumar Ashutosh 11 Nov '17

11 Nov '17

Hello, I found this project quite interesting. I am interested in contributing to the repository. Can anyone of you guide me on how can I start contribution and what part of the project is being majorly worked upon? I am currently contributing to scikit-learn, with approximately 9 bugs solved and a few being reviewed. Thanks, Kumar Ashutosh Undergraduate IIT Bombay India ᐧ

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Review PR #1425
by Dzung Nguyen 11 Nov '17

11 Nov '17

Hi scikit-image core team, I am wondering if someone could help review PR #1425 <https://github.com/scikit-image/scikit-image/pull/1425>? I really appreciate your time. Thank you very much! -- *Dzung Nguyen* PhD Student Electrical Engineering and Computer Science, Northwestern University, IL, USA http://users.eecs.northwestern.edu/~dtn419/

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scikit-image November 2017