Kudos to everyone involved in this release! Thanks Stefan for making this nice feature list.
Am 19.10.2013 um 16:28 schrieb Stéfan van der Walt stefan@sun.ac.za:
Announcement: scikits-image 0.9.0
We're happy to announce the release of scikit-image v0.9.0!
scikit-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.
For more information, examples, and documentation, please visit our website:
New Features
`scikit-image` now runs without translation under both Python 2 and 3.
In addition to several bug fixes, speed improvements and examples, the 204 pull requests merged for this release include the following new features (PR number in brackets):
Segmentation:
- 3D support in SLIC segmentation (#546)
- SLIC voxel spacing (#719)
- Generalized anisotropic spacing support for random_walker (#775)
- Yen threshold method (#686)
Transforms and filters:
- SART algorithm for tomography reconstruction (#584)
- Gabor filters (#371)
- Hough transform for ellipses (#597)
- Fast resampling of nD arrays (#511)
- Rotation axis center for Radon transforms with inverses. (#654)
- Reconstruction circle in inverse Radon transform (#567)
- Pixelwise image adjustment curves and methods (#505)
Feature detection:
- [experimental API] BRIEF feature descriptor (#591)
- [experimental API] Censure (STAR) Feature Detector (#668)
- Octagon structural element (#669)
- Add non rotation invariant uniform LBPs (#704)
Color and noise:
- Add deltaE color comparison and lab2lch conversion (#665)
- Isotropic denoising (#653)
- Generator to add various types of random noise to images (#625)
- Color deconvolution for immunohistochemical images (#441)
- Color label visualization (#485)
Drawing and visualization:
- Wu's anti-aliased circle, line, bezier curve (#709)
- Linked image viewers and docked plugins (#575)
- Rotated ellipse + bezier curve drawing (#510)
- PySide & PyQt4 compatibility in skimage-viewer (#551)
Other:
- Python 3 support without 2to3. (#620)
- 3D Marching Cubes (#469)
- Line, Circle, Ellipse total least squares fitting and RANSAC algorithm (#440)
- N-dimensional array padding (#577)
- Add a wrapper around `scipy.ndimage.gaussian_filter` with useful
default behaviors. (#712)
- Predefined structuring elements for 3D morphology (#484)
API changes
The following backward-incompatible API changes were made between 0.8 and 0.9:
- No longer wrap ``imread`` output in an ``Image`` class
- Change default value of `sigma` parameter in ``skimage.segmentation.slic``
to 0
- ``hough_circle`` now returns a stack of arrays that are the same size as the
input image. Set the ``full_output`` flag to True for the old behavior.
- The following functions were deprecated over two releases:
`skimage.filter.denoise_tv_chambolle`, `skimage.morphology.is_local_maximum`, `skimage.transform.hough`, `skimage.transform.probabilistic_hough`,`skimage.transform.hough_peaks`. Their functionality still exists, but under different names.
Contributors to this release
This release was made possible by the collaborative efforts of many contributors, both new and old. They are listed in alphabetical order by surname:
- Ankit Agrawal
- K.-Michael Aye
- Chris Beaumont
- François Boulogne
- Luis Pedro Coelho
- Marianne Corvellec
- Olivier Debeir
- Ferdinand Deger
- Kemal Eren
- Jostein Bø Fløystad
- Christoph Gohlke
- Emmanuelle Gouillart
- Christian Horea
- Thouis (Ray) Jones
- Almar Klein
- Xavier Moles Lopez
- Alexis Mignon
- Juan Nunez-Iglesias
- Zachary Pincus
- Nicolas Pinto
- Davin Potts
- Malcolm Reynolds
- Umesh Sharma
- Johannes Schönberger
- Chintak Sheth
- Kirill Shklovsky
- Steven Silvester
- Matt Terry
- Riaan van den Dool
- Stéfan van der Walt
- Josh Warner
- Adam Wisniewski
- Yang Zetian
- Tony S Yu
-- 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@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
Did you also announce the release on other relevant mailing lists?
Am 19.10.2013 um 17:50 schrieb Johannes Schönberger jsch@demuc.de:
Kudos to everyone involved in this release! Thanks Stefan for making this nice feature list.
Am 19.10.2013 um 16:28 schrieb Stéfan van der Walt stefan@sun.ac.za:
Announcement: scikits-image 0.9.0
We're happy to announce the release of scikit-image v0.9.0!
scikit-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.
For more information, examples, and documentation, please visit our website:
New Features
`scikit-image` now runs without translation under both Python 2 and 3.
In addition to several bug fixes, speed improvements and examples, the 204 pull requests merged for this release include the following new features (PR number in brackets):
Segmentation:
- 3D support in SLIC segmentation (#546)
- SLIC voxel spacing (#719)
- Generalized anisotropic spacing support for random_walker (#775)
- Yen threshold method (#686)
Transforms and filters:
- SART algorithm for tomography reconstruction (#584)
- Gabor filters (#371)
- Hough transform for ellipses (#597)
- Fast resampling of nD arrays (#511)
- Rotation axis center for Radon transforms with inverses. (#654)
- Reconstruction circle in inverse Radon transform (#567)
- Pixelwise image adjustment curves and methods (#505)
Feature detection:
- [experimental API] BRIEF feature descriptor (#591)
- [experimental API] Censure (STAR) Feature Detector (#668)
- Octagon structural element (#669)
- Add non rotation invariant uniform LBPs (#704)
Color and noise:
- Add deltaE color comparison and lab2lch conversion (#665)
- Isotropic denoising (#653)
- Generator to add various types of random noise to images (#625)
- Color deconvolution for immunohistochemical images (#441)
- Color label visualization (#485)
Drawing and visualization:
- Wu's anti-aliased circle, line, bezier curve (#709)
- Linked image viewers and docked plugins (#575)
- Rotated ellipse + bezier curve drawing (#510)
- PySide & PyQt4 compatibility in skimage-viewer (#551)
Other:
- Python 3 support without 2to3. (#620)
- 3D Marching Cubes (#469)
- Line, Circle, Ellipse total least squares fitting and RANSAC algorithm (#440)
- N-dimensional array padding (#577)
- Add a wrapper around `scipy.ndimage.gaussian_filter` with useful
default behaviors. (#712)
- Predefined structuring elements for 3D morphology (#484)
API changes
The following backward-incompatible API changes were made between 0.8 and 0.9:
- No longer wrap ``imread`` output in an ``Image`` class
- Change default value of `sigma` parameter in ``skimage.segmentation.slic``
to 0
- ``hough_circle`` now returns a stack of arrays that are the same size as the
input image. Set the ``full_output`` flag to True for the old behavior.
- The following functions were deprecated over two releases:
`skimage.filter.denoise_tv_chambolle`, `skimage.morphology.is_local_maximum`, `skimage.transform.hough`, `skimage.transform.probabilistic_hough`,`skimage.transform.hough_peaks`. Their functionality still exists, but under different names.
Contributors to this release
This release was made possible by the collaborative efforts of many contributors, both new and old. They are listed in alphabetical order by surname:
- Ankit Agrawal
- K.-Michael Aye
- Chris Beaumont
- François Boulogne
- Luis Pedro Coelho
- Marianne Corvellec
- Olivier Debeir
- Ferdinand Deger
- Kemal Eren
- Jostein Bø Fløystad
- Christoph Gohlke
- Emmanuelle Gouillart
- Christian Horea
- Thouis (Ray) Jones
- Almar Klein
- Xavier Moles Lopez
- Alexis Mignon
- Juan Nunez-Iglesias
- Zachary Pincus
- Nicolas Pinto
- Davin Potts
- Malcolm Reynolds
- Umesh Sharma
- Johannes Schönberger
- Chintak Sheth
- Kirill Shklovsky
- Steven Silvester
- Matt Terry
- Riaan van den Dool
- Stéfan van der Walt
- Josh Warner
- Adam Wisniewski
- Yang Zetian
- Tony S Yu
-- 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@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
-- 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@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
I just noticed you included the compiled Cython files in the archive. Is this intended?
Am 19.10.2013 um 18:01 schrieb Johannes Schönberger jsch@demuc.de:
Did you also announce the release on other relevant mailing lists?
Am 19.10.2013 um 17:50 schrieb Johannes Schönberger jsch@demuc.de:
Kudos to everyone involved in this release! Thanks Stefan for making this nice feature list.
Am 19.10.2013 um 16:28 schrieb Stéfan van der Walt stefan@sun.ac.za:
Announcement: scikits-image 0.9.0
We're happy to announce the release of scikit-image v0.9.0!
scikit-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.
For more information, examples, and documentation, please visit our website:
New Features
`scikit-image` now runs without translation under both Python 2 and 3.
In addition to several bug fixes, speed improvements and examples, the 204 pull requests merged for this release include the following new features (PR number in brackets):
Segmentation:
- 3D support in SLIC segmentation (#546)
- SLIC voxel spacing (#719)
- Generalized anisotropic spacing support for random_walker (#775)
- Yen threshold method (#686)
Transforms and filters:
- SART algorithm for tomography reconstruction (#584)
- Gabor filters (#371)
- Hough transform for ellipses (#597)
- Fast resampling of nD arrays (#511)
- Rotation axis center for Radon transforms with inverses. (#654)
- Reconstruction circle in inverse Radon transform (#567)
- Pixelwise image adjustment curves and methods (#505)
Feature detection:
- [experimental API] BRIEF feature descriptor (#591)
- [experimental API] Censure (STAR) Feature Detector (#668)
- Octagon structural element (#669)
- Add non rotation invariant uniform LBPs (#704)
Color and noise:
- Add deltaE color comparison and lab2lch conversion (#665)
- Isotropic denoising (#653)
- Generator to add various types of random noise to images (#625)
- Color deconvolution for immunohistochemical images (#441)
- Color label visualization (#485)
Drawing and visualization:
- Wu's anti-aliased circle, line, bezier curve (#709)
- Linked image viewers and docked plugins (#575)
- Rotated ellipse + bezier curve drawing (#510)
- PySide & PyQt4 compatibility in skimage-viewer (#551)
Other:
- Python 3 support without 2to3. (#620)
- 3D Marching Cubes (#469)
- Line, Circle, Ellipse total least squares fitting and RANSAC algorithm (#440)
- N-dimensional array padding (#577)
- Add a wrapper around `scipy.ndimage.gaussian_filter` with useful
default behaviors. (#712)
- Predefined structuring elements for 3D morphology (#484)
API changes
The following backward-incompatible API changes were made between 0.8 and 0.9:
- No longer wrap ``imread`` output in an ``Image`` class
- Change default value of `sigma` parameter in ``skimage.segmentation.slic``
to 0
- ``hough_circle`` now returns a stack of arrays that are the same size as the
input image. Set the ``full_output`` flag to True for the old behavior.
- The following functions were deprecated over two releases:
`skimage.filter.denoise_tv_chambolle`, `skimage.morphology.is_local_maximum`, `skimage.transform.hough`, `skimage.transform.probabilistic_hough`,`skimage.transform.hough_peaks`. Their functionality still exists, but under different names.
Contributors to this release
This release was made possible by the collaborative efforts of many contributors, both new and old. They are listed in alphabetical order by surname:
- Ankit Agrawal
- K.-Michael Aye
- Chris Beaumont
- François Boulogne
- Luis Pedro Coelho
- Marianne Corvellec
- Olivier Debeir
- Ferdinand Deger
- Kemal Eren
- Jostein Bø Fløystad
- Christoph Gohlke
- Emmanuelle Gouillart
- Christian Horea
- Thouis (Ray) Jones
- Almar Klein
- Xavier Moles Lopez
- Alexis Mignon
- Juan Nunez-Iglesias
- Zachary Pincus
- Nicolas Pinto
- Davin Potts
- Malcolm Reynolds
- Umesh Sharma
- Johannes Schönberger
- Chintak Sheth
- Kirill Shklovsky
- Steven Silvester
- Matt Terry
- Riaan van den Dool
- Stéfan van der Walt
- Josh Warner
- Adam Wisniewski
- Yang Zetian
- Tony S Yu
-- 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@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
-- 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@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
-- 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@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
On Sat, 19 Oct 2013 18:04:31 +0200, Johannes Sch�nberger wrote:
I just noticed you included the compiled Cython files in the archive. Is this intended?
Yes, this is the way we've done it in the past. We can consider leaving it out in the future, then the user just needs to have Cython installed (it is listed as a build dependency anyway).
However, I did not mean to leave out the file mentioned by Christoph. I tried to upload a fixed v0.9.1 and then v0.9.2 now, but PyPi keeps giving me an MD5 error. Johannes, could you try from your end?
I've placed all the changes in the v0.9.x branch of scikit-image/scikit-image and also pushed the tags.
Unfortunately, I may not have much internet connectivity for the next 24 hrs.
Cheers St�fan
Yes, this is the way we've done it in the past. We can consider leaving it out in the future, then the user just needs to have Cython installed (it is listed as a build dependency anyway).
However, I did not mean to leave out the file mentioned by Christoph. I tried to upload a fixed v0.9.1 and then v0.9.2 now, but PyPi keeps giving me an MD5 error. Johannes, could you try from your end?
I've placed all the changes in the v0.9.x branch of scikit-image/scikit-image and also pushed the tags.
I pushed the v0.9.1 version. You may remove the v0.9.2 version.
I hope everything works now?
On 19 Oct 2013 20:40, "Johannes Schönberger" jsch@demuc.de wrote:
Yes, this is the way we've done it in the past. We can consider
leaving it
out in the future, then the user just needs to have Cython installed (it is listed as a build dependency anyway).
However, I did not mean to leave out the file mentioned by Christoph.
I tried
to upload a fixed v0.9.1 and then v0.9.2 now, but PyPi keeps giving me
an MD5
error. Johannes, could you try from your end?
I've placed all the changes in the v0.9.x branch of
scikit-image/scikit-image
and also pushed the tags.
I pushed the v0.9.1 version. You may remove the v0.9.2 version.
Thanks, you rock. I've removed 0.9.2.
Cheers Stéfan
participants (2)
-
Johannes Schönberger -
Stéfan van der Walt