On behalf of the SimpleITK developers and the Insight Software Consortium community, we are pleased to announce the release of the SimpleITK 1.0 Release Candidate 2!
For the second release candidate in addition to the source code distributions and the language specific “front-ends”, where are providing binary Python wheels. A number of binary Python wheels are available for download and testing. It is important to have the latest version form pip to ensure correct wheel compatibility. To install the SimpleITK package: pip install --upgrade pip pip install --pre -f https://github.com/SimpleITK/SimpleITK/releases/tag/v1.0rc2 SimpleITK We encourage users to build SimpleITK v1.0rc2 from the source (https://itk.org/Wiki/SimpleITK/GettingStarted#Build_It_Yourself) as well as to download and test the rc2 binaries. There are a number of language specific "front-ends” which can be used to build SimpleITK: - Python - https://github.com/SimpleITK/SimpleITKPythonPackage - R - https://github.com/SimpleITK/SimpleITKRInstaller - Lua - https://github.com/SimpleITK/SimpleITKLuaRock - Anaconda - https://github.com/SimpleITK/SimpleITKCondaRecipe Release Candidate 2 Notes: - Additional Improvements: - Updated ITK version along 4.11 release branch - Reorganized examples directory - Reorganized filter libraries to match ITK modules - Improved compilation with more specific ITK module usage - Now using modern CMake 3 style properties for exported libraries - API Changes - Depricated CMake variables with "SITK" prefix, now consistenly using the "SimpleITK" prefix for configurable CMake variables - Removed `ImageSeriesReader::GetGDCMSeriesFileNames` parameter `loadPrivateTags` parameter. This removes an overloaded version of the class method. - Added `sitkWallClock` enum for a sentinel value for random number seed to indicate initialization from the clock Release Candidate 1 Notes: * Key Improvements: - Improved Python data bridge - New Python method `GetArrayViewFromImage` provides copy free read-only access - Updated Python data structures to use `memory view` objects - Building SimpleITK wrappers: - R devtools based installer (https://github.com/SimpleITK/SimpleITKRInstaller). - Python: scripts for building wheels (https://github.com/SimpleITK/SimpleITKPythonPackage) and a Conda recipe (https://github.com/SimpleITK/SimpleITKCondaRecipe). - Support use of virtual image domain in the `ImageRegistrationMethod`. - OnePlusOneOptimizer added to registration framework. - Improved support for R: propogating C++ exceptions into R, additional R tests. - Additional tests for Java. - Python and R notebooks repository illustrating the basics and more advanced functionality of SimpleITK (https://github.com/InsightSoftwareConsortium/SimpleITK-Notebooks). - Added continous integration via CircleCI. - Updated version and improved integration of Google Test. - Updated ITK version to 4.11 - Updated minimal required CMake version to 3.0, and numerous CMake changes to support various build configurations. - Updated to usage of SWIG 3.0.11 ( using the latest SIWG is strongly recommended for R ) - Reorganized examples directory into example based sub-directories with multiple languages - Improvements to documentation transmogrification scripts - Many bug fixes and improvement to the build system! * API changes: - R methods which previously unnecessarily returned self return void. - New method `Image::GetNumberOfPixels` - New method `LabelMapContourOverlayImageFilter::SetColormap` - New method `LabelMapToRGBImageFilter::SetColormap` - New method `ImageRegistrationMethod::SetVirtualDomain` - New method `ImageRegistrationMethod::SetVirtualDomainFromImage` - New seed parameter to `ImageRegistrationMethod::AddMetricSamplingSeed` method - `CastImageFilter::SetOutputPixelType` method no longer accepts the pixel ID by value, uses only enumerated type. Please try out SimpleITK 1.0rc2, and report any issues! Enjoy! Bradley Lowekamp
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