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Quantitative Image Analysis in C++, MATLAB and Python

24 September 2021

Release v3.1.0

by Cris Luengo

Today DIPlib 3.1.0 was released. It includes some new functionality, some efficiency improvements, and some assorted bug fixes. Please see the change log for details.

We recommend that all users upgrade to the new release.


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 compatibility issues.

Though there should not need to change any of your code to use the new version of library, you will have to re-compile it, since some function signatures were changed in backwards-compatible ways.

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