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right now the lib uses component-weighted euclidean (or manhatten) distance on rgb pixels. this is cheap but frequently gets very wrong results.
Delta E (CIE 2000) is too slow.
http://gramaz.io/d3-cam02/ may work faster.
https://github.com/ripreact/hsl is also worth testing. cc @miyaokamarina
The text was updated successfully, but these errors were encountered:
also playing with neural nets in wpmed92/backpropaganda#13 https://github.com/photopea/UNN.js https://github.com/photopea/UPNG.js
https://gramaz.io/d3-cam02/ https://github.com/d3/d3-cam16 http://bl.ocks.org/connorgr/0a299fe77d5c7feccd22e02f2ac5d69b https://github.com/baskerville/ciecam02 https://github.com/zschuessler/DeltaE
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right now the lib uses component-weighted euclidean (or manhatten) distance on rgb pixels. this is cheap but frequently gets very wrong results.
Delta E (CIE 2000) is too slow.
http://gramaz.io/d3-cam02/ may work faster.
https://github.com/ripreact/hsl is also worth testing. cc @miyaokamarina
The text was updated successfully, but these errors were encountered: