Result: InsightSoftwareConsortium/ITK: ITK 5.2.0
Further Information
ITK 5.2.0 Release Notes We are happy to announce the release of Insight Toolkit (ITK) 5.2.0! :tada: ITK is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. ITK 5.2 is a feature release that improves and extends interfaces to deep learning, artificial intelligence (AI) libraries, with an emphasis on Project MONAI, the Medical Open Network for AI. ITK 5.2 feature highlights include functional filter support for PyTorch tensors, Python dictionary interfaces to itk.Image metadata, NumPy-based pixel indexing, 4D Python image support, and improved multi-component image support. Changes from Release Candidate 3 include an updated Python Quick Start Guide and many improvements to the ITK Sphinx Examples. Experimental pip-installable Python packages are available for ARMv8 on macOS for the Apple M1 Silicon processor, and Linux, also known as aarch64. For a scientific computing environment on these platforms, we recommend mini-forge. The pip-installable Python packages work with conda across all platforms. We are working to add native conda-forge packages in a future release. All Pythonic, functional filter interfaces have type annotations with common, standard types along with numpy.typing.ArrayLike and itk.support.types.ImageLike. Many other improvements were made since RC 3 based on community feedback. A full list can be found in the Changelog below. Downloads Python Packages Install ITK Python packages with: pip install --upgrade itk Guide and Textbook InsightSoftwareGuide-Book1-5.2.0.pdf InsightSoftwareGuide-Book2-5.2.0.pdf Library Sources InsightToolkit-5.2.0.tar.gz InsightToolkit-5.2.0.zip Testing Data Unpack optional testing data in the same directory where the Library Source is unpacked. InsightData-5.2.0.tar.gz InsightData-5.2.0.zip Checksums MD5SUMS SHA512SUMS Features MONAI-compatible itk.Image metadata dict and NumPy-indexing pixel set/get Python interfaces. print(image['0008|0008']) image['origin'] = [4.0, 2.0, 2.0] or a dictionary can be ...