ANN: scikits.image v0.2

[Tony S Yu]

I believe the most recent release still requires python 2.6.

I've uploaded a fix to remove the dependency on enhanced decorators.  
There are two branches on github (http://github.com/tonysyu/scikits.image 
): one named "compatibility2.5" and and the other "compatibility2.5x".  
The first uses conventional setter and getter methods, while the  
second uses a workaround to hide the setter and getter from the class  
namespace.

Also, I noticed that the doctests in the io package are not really  
maintained. I fixed some file loading issues in my "io_doctest"  
branch. One test still fails because I'm not sure how to rewrite it  
without making it really ugly (the test prints out the filepaths in a  
collection, but you want to test the filename). Also, a doctest for  
io.show fails because there's no default plugin showing images.

Cheers,
-Tony

On Nov 12, 2009, at 9:03 AM, Stéfan van der Walt wrote:

>
> I'm glad to announce the second release of `scikits.image`, a
> collection of image processing routines for SciPy.
>
> On top of bug-fixes and improved documentation, the following
> changes/additions were made:
>
> - A new IO plugin infrastructure so that commands like 'imshow' are
> available via multiple backends (PIL, matplotlib, QT4, etc.)
> - ImageCollections (for cached loading of multiple images) and
> MultiImage (for working with multi-layered images)
> - More complete OpenCV wrappers
> - A graphical image viewer (also installed as a script `scivi`), that
> allows colour adjustments
> - Shortest path algorithm
>
> For version 0.3, we aim to
>
> - Incorporate some of the code offered by the Broad institute
> - Implement acquisition (grabbing images from cameras) and intrinsic
> camera calibration
> - Add real time video and camera display with processing
> - Improve filtering code
> - Add morphological operations
>
> More information is available at: http://stefanv.github.com/scikits.image/
>
> Regards
> Stéfan