Quantitative Image Analysis in C++, MATLAB and Python
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.
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.
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.
Please build from source. This should be a lot easier for you than messing with pre-compiled libraries and their linker compatibility issues.
Changes in DIPlib as compared to version 2.9
Changes in DIPimage as compared to version 2.9