Mailman 3 February 2017 - scikit-image

RGSoC'17 Coaches (Remote)
by Sanya B. Taneja 24 Feb '17

24 Feb '17

Hi, We've almost completed our application for RGSoC'17 and are psyched to have a chance to explore this project. We read the description on the RGSoC website stating that 3 members of the core contributor team have signed up to coach the teams. We would love to have some of the scikit-image contributors as our coaches (remote). Kindly get back to us if you'll be interested in the same. Hoping for a quick response. Thanks Sanya B. Taneja (Team Allonsy)

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Re: [scikit-image] the mechanism and implementation of generating a subimage from a large image
by Stefan van der Walt 22 Feb '17

22 Feb '17

Hi wl, It is unclear whether you want to extract features from each image, or whether you want to downsample the images to represent the originals. If you want to downsample, I'd recommend http://scikit-image.org/docs/dev/api/skimage.transform.html#skimage.transfo… otherwise, use e.g., histogram of gradients as features. Best regards Stéfan On Wed, Feb 22, 2017, at 11:04, wine lover wrote: > Hi All, > > I have a set of image pairs, i.e., {A, A’}, {B, B’}, {C,C’} etc. > > Given an image A, for instance, 256*256, are there any sampling > mechanisms to generate a small image, i.e., 128*128, that can capture > the global contexts of original images. At the same time, I would > like to keep track information of those sampled pixels. For instance, > if pixel[I,J] in A is selected, I need to track it because I need to > select the same pixel of A’. > > In other words, I need to generate a set of smaller image pairs based > on these large image pairs. The sampling mechanism, however, is based > on A, B, C, etc; and A’, B’,C’ are just sampled accordingly. > > Are there any skimage functions that I can use? > > Thanks, > > _________________________________________________ > scikit-image mailing list > scikit-image(a)python.org > https://mail.python.org/mailman/listinfo/scikit-image

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the mechanism and implementation of generating a subimage from a large image
by wine lover 22 Feb '17

22 Feb '17

Hi All, I have a set of image pairs, i.e., {A, A’}, {B, B’}, {C,C’} etc. Given an image A, for instance, 256*256, are there any sampling mechanisms to generate a small image, i.e., 128*128, that can capture the global contexts of original images. At the same time, I would like to keep track information of those sampled pixels. For instance, if pixel[I,J] in A is selected, I need to track it because I need to select the same pixel of A’. In other words, I need to generate a set of smaller image pairs based on these large image pairs. The sampling mechanism, however, is based on A, B, C, etc; and A’, B’,C’ are just sampled accordingly. Are there any skimage functions that I can use? Thanks,

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Re: [scikit-image] IO documentation
by François Boulogne 22 Feb '17

22 Feb '17

A pull request that proposes the enhance the situation about that: https://github.com/scikit-image/scikit-image/pull/2063 Best, -- François Boulogne. http://www.sciunto.org GPG: 32D5F22F

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Last 3 issues before 0.13
by Stefan van der Walt 22 Feb '17

22 Feb '17

Hi, everyone If you have a bit of spare time, please help us solve *the last three issues* blocking release of 0.13: https://github.com/scikit-image/scikit-image/issues?q=is%3Aopen+is%3Aissue+… Thank you to everyone who has been working so hard on making this happen. Best regards Stéfan

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Re: [scikit-image] IO documentation
by Stefan van der Walt 22 Feb '17

22 Feb '17

On Tue, Feb 21, 2017, at 23:38, Stefan van der Walt wrote: > Hi Michael Apologies, Michal. > On Thu, Jan 5, 2017, at 01:45, Michal Romaniuk wrote: >> The IO documentation doesn't seem to be very good. It explains how >> plugins work but it's scarce on examples e.g. on how to export jpeg >> image with a specified compression level. The IO API docs don't give >> much detail either. Some details can be found in the docs for >> external.tifffile but it takes some searching to find it. For PIL the >> only way to figure out how to use it seems to be looking at the >> source code - no modern docs as far as I can tell (did I fail to use >> Google properly?). > > Thanks for your comment; unfortunately io.imsave does not currently > support specifying compression level (that is only supported for > TIFF files). > > That said, you can accomplish this yourself using PIL: > > In [1]: from skimage.io._plugins.pil_plugin import ndarray_to_pil > In [2]: from skimage import data > In [3]: img = data.chelsea() > In [4]: pil_img = ndarray_to_pil(img) > In [5]: pil_img.save('/tmp/chelsea0.jpg', quality=10) > In [6]: pil_img.save('/tmp/chelsea1.jpg', quality=90) > > In [7]: !du -hcs /tmp/chelsea*.jpg > 8.0K /tmp/chelsea0.jpg > 36K /tmp/chelsea1.jpg > > Best regards > Stéfan >

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Re: [scikit-image] IO documentation
by Stefan van der Walt 22 Feb '17

22 Feb '17

Hi Michael On Thu, Jan 5, 2017, at 01:45, Michal Romaniuk wrote: > The IO documentation doesn't seem to be very good. It explains how > plugins work but it's scarce on examples e.g. on how to export jpeg > image with a specified compression level. The IO API docs don't give > much detail either. Some details can be found in the docs for > external.tifffile but it takes some searching to find it. For PIL the > only way to figure out how to use it seems to be looking at the source > code - no modern docs as far as I can tell (did I fail to use Google > properly?). Thanks for your comment; unfortunately io.imsave does not currently support specifying compression level (that is only supported for TIFF files). That said, you can accomplish this yourself using PIL: In [1]: from skimage.io._plugins.pil_plugin import ndarray_to_pil In [2]: from skimage import data In [3]: img = data.chelsea() In [4]: pil_img = ndarray_to_pil(img) In [5]: pil_img.save('/tmp/chelsea0.jpg', quality=10) In [6]: pil_img.save('/tmp/chelsea1.jpg', quality=90) In [7]: !du -hcs /tmp/chelsea*.jpg 8.0K /tmp/chelsea0.jpg 36K /tmp/chelsea1.jpg Best regards Stéfan

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SciPy 2017
by Jill Cowan 20 Feb '17

20 Feb '17

Hi, Mark Your Calendar for SciPy 2017! July 10-16, 2017 | Austin, Texas SciPy 2017 Tutorials: July 10-11, 2017 SciPy 2017 Conference: July 12-14, 2017 SciPy 2017 Sprints: July 15-16, 2017 Call for Propsals Is Now Open: Submit your talk, poster and tutorial ideas: http://scipy2017.scipy.org/ehome/220975/493425/ The deadline for proposals is March 27th for talks and posters ; March 22nd for tutorials. Financial aid is accepting applications through April 21st http://scipy2017.scipy.org/ehome/220975/493436/ Registration will open February 27th. Learn more about the conference at scipy2017.scipy.org Hope to see you there! -- Jill Cowan Enthought, Inc. jillc(a)enthought.com 512.536.1057

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Re: [scikit-image] scikit-image RGSoC 2017
by Steven Silvester 18 Feb '17

18 Feb '17

Well done Sanya and Anshita! We are thankful for your contributions and interest. Regards, Steve _____________________________ From: Sanya B. Taneja <sanyabt11(a)gmail.com> Sent: Saturday, February 18, 2017 4:19 AM Subject: [scikit-image] scikit-image RGSoC 2017 To: <scikit-image(a)python.org> Cc: Anshita Gupta <guptaanshita8(a)gmail.com> Hi, My teammate (Anshita Gupta) and I are interested in applying for the project ‘scikit-image’ for RGSoC 2017. We have a background in Computer Science and programming in Python, as well as some experience working with numpy and scikit-learn packages on Jupyter Notebook. In the past few weeks we have-Read the user guide and guidelines for contribution on scikit-image.org.Implemented the online tutorials and examples using Jupyter Notebook. Begun to solve novice issues on GitHub and had one PR merged with the master. Another is in progress.Our insight into this package and attempts to solve the novice issues have been very interesting and compelling and we would love to further delve into the project by solving the challenges, working on medium and hard issues and contributing to the code! Looking forward to working further, RegardsSanya B. TanejaCSE Undergraduate (2014-18)

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scikit-image RGSoC 2017
by Sanya B. Taneja 18 Feb '17

18 Feb '17

Hi, My teammate (Anshita Gupta) and I are interested in applying for the project ‘scikit-image’ for RGSoC 2017. We have a background in Computer Science and programming in Python, as well as some experience working with numpy and scikit-learn packages on Jupyter Notebook. In the past few weeks we have- - Read the user guide and guidelines for contribution on scikit-image.org . - Implemented the online tutorials and examples using Jupyter Notebook. - Begun to solve novice issues on GitHub and had one PR merged with the master. Another is in progress. Our insight into this package and attempts to solve the novice issues have been very interesting and compelling and we would love to further delve into the project by solving the challenges, working on medium and hard issues and contributing to the code! Looking forward to working further, Regards Sanya B. Taneja CSE Undergraduate (2014-18)

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