DIPlib

Quantitative Image Analysis in C++, MATLAB and Python

22 February 2021

Release v3.0.0

by Cris Luengo

After many years of hard work, we finally have a non-beta release for the DIPlib 3 project.

This release has only a few relatively minor changes with respect to the last beta release (3.0b9, from December). The largest change since then is in the documentation, which is now no longer produced using Doxygen. Instead, we’re using dox++ (follow the link for a justification to switching away from Doxygen). In any case, switching documentation preparation system required some changes to the documentation sources (which are in the C++ header files), and some links to documentation pages have likely broken.

For use from Python, install through PyPI using

pip install diplib

We support Windows, macOS and Linux, and Python versions 3.7, 3.8 and 3.9. On Linux also 3.6 is supported. If you use a different platform or a different version of Python, you will need to build from source. This is not complicated. We have simple and clear instructions available.

For use from MATLAB, you need to build from source. This is not complicated. We have simple and clear instructions available. We don’t yet have a simple way of generating the DIPimage distribution (MATLAB toolbox), hopefully one day we will.

For use from C++, please build from source. This should be a lot easier for you than messing with pre-compiled libraries and their linker compatiblity issues.

Changes in DIPlib as compared to version 2.9
Changes in DIPimage as compared to version 2.9

tags: