![]() ![]() If I had to choose a single plugin that makes GIMP more effective from a. Some plugins fill more technical gaps in the GIMP’s feature set, opening up new image processing capabilities. it could be more complicated to do on Windows/OSX, but not impossible. The official support ended with GIMP 2.8, but you should be able to get it working with GIMP 2.10. Of course, you have to add the numpy module to the python runtime used by Gimp. If done properly, there are no loops in Python, all the pixel iteration is done by the numpy code on native data. See attached script for some exemples: median/average filter (the median filter is almost twice as fast as the one in GMIC), and an implementation of Color>Desaturate>Luminosity. Together with the ability to extract "pixel regions" with the Gimp python API, some pretty fast processing can be written quickly. In practice it is a very efficient vector/matrix library and so is well suited to process image data. But it can also be used outside of data science. Numpy is one of the things that makes Python an "in" language according to this StackOverflow blog.
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