We are happy to announce the first beta release for ITK 5!
This release features an additional, more Pythonic interface to filters. This interface is more familiar in Python and facilitates rapid prototyping. ITK 5.0 Beta 1 also includes many performance-related improvements, such as a pure C++11 thread pool by default, an HDF5 update to 1.10, new frequency domain iterators, new neighborhood range classes, and a new multi-dimensional, multi-component superpixel class.
To install the Python packages,
python -m pip install --upgrade pip python -m pip install --upgrade --pre itk
For more details, see the detailed release notes.