ANN: scikit-image 0.10.0
Announcement: scikit-image 0.10.0 ================================= We're happy to announce the release of scikit-image v0.10.0! 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: http://scikit-image.org New Features ------------ In addition to many bug fixes, (speed) improvements and new examples, the 118 pull requests (1112 commits) merged for this release include the following new features (PR number in brackets): - Viewer returns overlays (#810) - Luv colorspace conversion (#798) - Phase unwrapping (#644) - Add Wiener deconvolution (#800) - Sum filter to rank filters (#844) - Updates to MCP algorithm. (#854) - Add ISODATA thresholding (#859) - Add `imread_collection` automatically if plugin provides `imread` (#862) - Enforce SLIC superpixels connectivity (#857) - Estimator class parameters now public (#840) - BRIEF, ORB and CENSURE features (#834) - SLIC-zero capabilities for SLIC segmentation. (#864) - Shaded Polygon for LineProfile Plugin Output (#875) - Add string inputs for range parameters of `rescale_intensity` (#897) - Blob Detection (#903) - `peak_local_max` support for N-d images (#906) - Add loading from URL in novice module (#916) - Correct mesh orientation in marching cubes algorithm (#882) - Added alpha channel support to novice (#946) - Equality for regionprops (#956) - IPython notebook export for examples (#1000) API changes ----------- The following backward-incompatible API changes were made between 0.9 and 0.10: - Removed deprecated functions in `skimage.filter.rank.*` - Removed deprecated parameter `epsilon` of `skimage.viewer.LineProfile` - Removed backwards-compatability of `skimage.measure.regionprops` - Removed {`ratio`, `sigma`} deprecation warnings of `skimage.segmentation.slic` and also remove explicit `sigma` parameter from doc-string example - Changed default mode of random_walker segmentation to 'cg_mg' > 'cg' > 'bf', depending on which optional dependencies are available. - Removed deprecated `out` parameter of `skimage.morphology.binary_*` - Removed deprecated parameter `depth` in `skimage.segmentation.random_walker` - Removed deprecated logger function in `skimage/__init__.py` - Removed deprecated function `filter.median_filter` - Removed deprecated `skimage.color.is_gray` and `skimage.color.is_rgb` functions - Removed deprecated `skimage.segmentation.visualize_boundaries` - Removed deprecated `skimage.morphology.greyscale_*` - Removed deprecated `skimage.exposure.equalize` 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: - Raphael Ackermann - Ankit Agrawal - Maximilian Albert - Pietro Berkes - Vighnesh Birodkar - François Boulogne - Olivier Debeir - Christoph Deil - Jaidev Deshpande - Jostein Bø Fløystad - Neeraj Gangwar - Michael Hansen - Almar Klein - Jeremy Metz - Juan Nunez-Iglesias - François Orieux - Guillem Palou - Rishabh Raj - Thomas Robitaille - Michal Romaniuk - Johannes L. Schönberger - Julian Taylor - Gregor Thalhammer - Matthew Trentacoste - Siva Prasad Varma - Guillem Palou Visa - Stefan van der Walt - Josh Warner - Tony S Yu - blink1073 - cgohlke - jaimefrio - radioxoma - sharky93
I'd wait for the Debian release until we push out 0.10.1 or 0.10.2... On Tuesday, May 27, 2014 10:56:59 PM UTC-4, Johannes Schönberger wrote:
Announcement: scikit-image 0.10.0 =================================
We're happy to announce the release of scikit-image v0.10.0!
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 ------------
In addition to many bug fixes, (speed) improvements and new examples, the 118 pull requests (1112 commits) merged for this release include the following new features (PR number in brackets):
- Viewer returns overlays (#810) - Luv colorspace conversion (#798) - Phase unwrapping (#644) - Add Wiener deconvolution (#800) - Sum filter to rank filters (#844) - Updates to MCP algorithm. (#854) - Add ISODATA thresholding (#859) - Add `imread_collection` automatically if plugin provides `imread` (#862) - Enforce SLIC superpixels connectivity (#857) - Estimator class parameters now public (#840) - BRIEF, ORB and CENSURE features (#834) - SLIC-zero capabilities for SLIC segmentation. (#864) - Shaded Polygon for LineProfile Plugin Output (#875) - Add string inputs for range parameters of `rescale_intensity` (#897) - Blob Detection (#903) - `peak_local_max` support for N-d images (#906) - Add loading from URL in novice module (#916) - Correct mesh orientation in marching cubes algorithm (#882) - Added alpha channel support to novice (#946) - Equality for regionprops (#956) - IPython notebook export for examples (#1000)
API changes -----------
The following backward-incompatible API changes were made between 0.9 and 0.10:
- Removed deprecated functions in `skimage.filter.rank.*` - Removed deprecated parameter `epsilon` of `skimage.viewer.LineProfile` - Removed backwards-compatability of `skimage.measure.regionprops` - Removed {`ratio`, `sigma`} deprecation warnings of `skimage.segmentation.slic` and also remove explicit `sigma` parameter from doc-string example - Changed default mode of random_walker segmentation to 'cg_mg' > 'cg' > 'bf', depending on which optional dependencies are available. - Removed deprecated `out` parameter of `skimage.morphology.binary_*` - Removed deprecated parameter `depth` in `skimage.segmentation.random_walker` - Removed deprecated logger function in `skimage/__init__.py` - Removed deprecated function `filter.median_filter` - Removed deprecated `skimage.color.is_gray` and `skimage.color.is_rgb` functions - Removed deprecated `skimage.segmentation.visualize_boundaries` - Removed deprecated `skimage.morphology.greyscale_*` - Removed deprecated `skimage.exposure.equalize`
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:
- Raphael Ackermann - Ankit Agrawal - Maximilian Albert - Pietro Berkes - Vighnesh Birodkar - François Boulogne - Olivier Debeir - Christoph Deil - Jaidev Deshpande - Jostein Bø Fløystad - Neeraj Gangwar - Michael Hansen - Almar Klein - Jeremy Metz - Juan Nunez-Iglesias - François Orieux - Guillem Palou - Rishabh Raj - Thomas Robitaille - Michal Romaniuk - Johannes L. Schönberger - Julian Taylor - Gregor Thalhammer - Matthew Trentacoste - Siva Prasad Varma - Guillem Palou Visa - Stefan van der Walt - Josh Warner - Tony S Yu - blink1073 - cgohlke - jaimefrio - radioxoma - sharky93
Hi guys, On Tuesday, May 27, 2014 7:56:59 PM UTC-7, Johannes Schönberger wrote:
Announcement: scikit-image 0.10.0 =================================
We're happy to announce the release of scikit-image v0.10.0!
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 ------------
In addition to many bug fixes, (speed) improvements and new examples, the 118 pull requests (1112 commits) merged for this release include the following new features (PR number in brackets):
- Viewer returns overlays (#810) - Luv colorspace conversion (#798) - Phase unwrapping (#644) - Add Wiener deconvolution (#800) - Sum filter to rank filters (#844) - Updates to MCP algorithm. (#854) - Add ISODATA thresholding (#859) - Add `imread_collection` automatically if plugin provides `imread` (#862) - Enforce SLIC superpixels connectivity (#857) - Estimator class parameters now public (#840) - BRIEF, ORB and CENSURE features (#834) - SLIC-zero capabilities for SLIC segmentation. (#864) - Shaded Polygon for LineProfile Plugin Output (#875) - Add string inputs for range parameters of `rescale_intensity` (#897) - Blob Detection (#903) - `peak_local_max` support for N-d images (#906) - Add loading from URL in novice module (#916) - Correct mesh orientation in marching cubes algorithm (#882) - Added alpha channel support to novice (#946) - Equality for regionprops (#956) - IPython notebook export for examples (#1000)
API changes -----------
The following backward-incompatible API changes were made between 0.9 and 0.10:
- Removed deprecated functions in `skimage.filter.rank.*` - Removed deprecated parameter `epsilon` of `skimage.viewer.LineProfile` - Removed backwards-compatability of `skimage.measure.regionprops` - Removed {`ratio`, `sigma`} deprecation warnings of `skimage.segmentation.slic` and also remove explicit `sigma` parameter from doc-string example - Changed default mode of random_walker segmentation to 'cg_mg' > 'cg' > 'bf', depending on which optional dependencies are available. - Removed deprecated `out` parameter of `skimage.morphology.binary_*` - Removed deprecated parameter `depth` in `skimage.segmentation.random_walker` - Removed deprecated logger function in `skimage/__init__.py` - Removed deprecated function `filter.median_filter` - Removed deprecated `skimage.color.is_gray` and `skimage.color.is_rgb` functions - Removed deprecated `skimage.segmentation.visualize_boundaries` - Removed deprecated `skimage.morphology.greyscale_*` - Removed deprecated `skimage.exposure.equalize`
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:
- Raphael Ackermann - Ankit Agrawal - Maximilian Albert - Pietro Berkes - Vighnesh Birodkar - François Boulogne - Olivier Debeir - Christoph Deil - Jaidev Deshpande - Jostein Bø Fløystad - Neeraj Gangwar - Michael Hansen - Almar Klein - Jeremy Metz - Juan Nunez-Iglesias - François Orieux - Guillem Palou - Rishabh Raj - Thomas Robitaille - Michal Romaniuk - Johannes L. Schönberger - Julian Taylor - Gregor Thalhammer - Matthew Trentacoste - Siva Prasad Varma - Guillem Palou Visa - Stefan van der Walt - Josh Warner - Tony S Yu - blink1073 - cgohlke - jaimefrio - radioxoma - sharky93
Congratulations? Any chance of putting up some OSX wheels on pypi? I've built some here if you'd like to use those: https://nipy.bic.berkeley.edu/scipy_installers/scikit_image-0.10.0-cp27-none... https://nipy.bic.berkeley.edu/scipy_installers/scikit_image-0.10.0-cp33-cp33... https://nipy.bic.berkeley.edu/scipy_installers/scikit_image-0.10.0-cp34-cp34... General build recipe for OSX wheels here: https://github.com/MacPython/wiki/wiki/Spinning-wheels#practical-example-of-... Cheers, Matthew
On Fri, May 30, 2014 at 2:26 AM, Matthew Brett <matthew.brett@gmail.com> wrote:
Congratulations? Any chance of putting up some OSX wheels on pypi?
Sorry, folks, I've been living in a terminal for the past few days. This is quite a landmark: our first release that comes with a paper! Johannes, thanks very much for handling the logistics. Matthew, thanks for those Wheels--can I simply upload them by hand? Also, you pointed us to the recipes, so is the idea that we include scripts in the project to build them automatically next time? Stéfan
participants (4)
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Johannes Schönberger -
Johannes Schönberger -
Matthew Brett -
Stéfan van der Walt