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if you like a post where a person is talking about killing themselves that means that you like that that person wants to kill themselves, there is no other interpretation for the wording x has liked your post that i can infer in good faith and this is why i tell people not to like my negative posts unless they like that i'm in misery because if you want to convey anything else you have 26 letters and punctuation at your disposal

the internet feels a lot lonelier than when i still knew people using irc

although a large chunk of those people abused me and forced me to retreat so maybe there's a connection there

are there any public hangout spaces left or is everyone else also hidden away into their closed doors highly personal discord servers

i don't think i've met new friends in 5 years now

don't worry i have plans for a feature or two to make the 1.0 release

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ok not a huge one this time but v0.4 is out now

  • NEW palette mode to sample colors from source image
  • some code reworked to optimize things

maple.pet/ditherinator/

i've optimized everything i can think of in ditherinator, and the mode that samples the source image to make a reduced palette is still pretty slow and only borderline usable to move the sliders around in realtime

but as a side effect pretty much any other mode is now a lot faster

is the only way to decouple blocking procedural js from blocking the DOM really by using webworkers

i was trying to be fancy and using CIE94 to calculate distances in ditherinator but now i'm thinking i should just go with CIE76

perceptual color distance is a fuck

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i think there's something wrong with my code, conceptually...

notice blue blob in the background and how it gets turned into a red patch

if i increase the error diffusion dithering it only gets worse

ironically this seems to be an issue with the CIELAB distance rather than the error diffusion algorithm itself

much to fix before v0.4

here's how easy it is to make your own palette image:

palette images are sampled for unique colors used in the image, in the order they are found (left to right, top to bottom), regardless of image size or quantity of each color

yyyyesssss this will do (we are sampling from the source image for the reduced palette)

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