Code dump for 2.16
This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
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1. Run classifier on staging document table
The escript can run on any computer that has the Erlang VM installed. Older versions of the virtual machine may not support the newer bytecode contained in the escript. Typically being within a couple major versions of the version used to build the escript is safe.