Quantitative Image Analysis in C++, MATLAB and Python
DIPlib 3.4.3 was released today. It fixes some deployment issues and a bug. 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 Python 3.8 through 3.12, on Windows (x86_64), Linux (x86_64) and macOS (x86_64 and aarch64).
All of these are 64-bit versions only. 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.
We haven’t created any pre-built installers for this version of DIPlib. You will need to build from source. This is not complicated. We have simple and clear instructions available.
Please build from source. This should be a lot easier for you than messing with pre-compiled libraries and their linker compatibility issues. We recommend that you use CMake to build a project using DIPlib, either using the DIPlib repository as a sub-project, or following this example CMake file. If you don’t want to use CMake for your project, then see here for instructions on which preprocessor macros to define.
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.