Hello, We are pleased to announce the release of SimpleITK 0.5.1!
We have continued to focus on wrapping more ITK image filters and improve the infrastructure. Additionally, we have improved the release infrastructure to allow for more automatic building of the binary packages. This will allow for more frequent releases in the future. Some key improvements include: * Over 225 Image filters wrapped * Support for R language wrapping on OSX and linux thanks to Richard Beare * Many improvement to the Show method, include support for color and fixes on windows 64-bit platform * Refactoring of the library structure for VS9 2008 and shared library support * And many more! There are numerous binaries available for download for Python via setuptools' easy_install. Additionally ,we have added select binary distributions for C# and Java. Information on downloading and getting started can be found here: http://www.vtk.org/Wiki/ITK/Release_4/SimpleITK/GettingStarted#Binaries A table of the filters covered in SimpleITK is available in the doxygen: http://www.itk.org/SimpleITKDoxygen/html/Filter_Coverage.html SimpleITK code looks like this in Python: import SimpleITK as sitk image = sitk.ReadImage( sys.argv[1] ) image = sitk.SmoothingRecursiveGaussian( image, float( sys.argv[2] ) ) sitk.WriteImage( image, sys.argv[3] ) As this a a pre-1.0 release, the interface may still change some as the library continues to develop. We are also seeking feedback as to important missing filters, as well as user experiences to guide further development. Noticeably missing still is registration. We have gone through several prototypes which did not provide the correct combination of flexibility and easy of use. We currently expect transform support to be available in the next major release. Enjoy, Brad ======================================================== Bradley Lowekamp Medical Science and Computing for Office of High Performance Computing and Communications National Library of Medicine [email protected]
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