Quantitative Image Analysis in C++, MATLAB and Python
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.
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.
Though there should be no need to change any of your code to use the new version of library, you might have to re-compile it, since some header files have changed.