To this end, I have written a small C library for the sole purpose of generating the Delaunay triangulation of a colour palette and using the resulting structure to perform barycentric interpolation as well as natural neighbour interpolation for use in colour image dithering. The library and source code is available for free on Github. I’ve included an additional write up that goes into a bit more detail on the implementation and also provides some performance and quality comparisons against other algorithms. Support would be greatly appreciated!
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Space: This is often the first factor people consider when buying a new bed after moving. Before you buy a new bed, measure the dimensions of the room you’d like to put it in as well as any nearby furniture that may be rearranged to accommodate your mattress. And think about whether you value having close access to a nightstand, for example, or whether you want a larger bed. Ask yourself what you’re willing to sacrifice for your ideal sleeping space.
Machine learning interatomic potentials like MACE (NeurIPS 2022) have reached a point where they rival density functional theory in accuracy while running orders of magnitude faster. But using them still requires Python scripting, command-line fluency, and environment setup that shuts out a large number of researchers, especially those with accessibility needs, those in under-resourced labs, or students encountering computational chemistry for the first time.
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