qoi VS collagen

Her request is politely-phrased and reasonable. I don't think there's a legal or ethical issue, but respecting the wishes of others when it costs nothing is just kindness.

However, the way that some have seized on it, and then interacted with others in their communities is ... neither polite nor reasonable.

e.g. https://github.com/phoboslab/qoi/issues/35

How do you know it's not a problem for the people who work with computer vision? Let's take this for example - sure, the request itself was presented very unprofessionally, but this is still an example of someone in a computer vision-adjacent field stating in no uncertain terms that they have a problem with the image.

Yes. Without a supporting statement, it's ad hominem. But I provided a supporting statement.

This is the issue I'm taking about: https://mobile.twitter.com/richgel999/status/146443578680850...

Which links to here: https://github.com/phoboslab/qoi/issues/35

Where everyone agrees, yes, the image should be removed. They didn't know about its history. Would he please stop being a gigantic asshole about it.

So if that's not blowing things out of proportion, I don't know what is.

I don't know about CUDA, however I've made an AVX2 based encoder a few months ago : https://github.com/phoboslab/qoi/pull/143

I intend to create an AVX2 based decoder but I had absolutely no time to work on side projects in the past three months.

You might also want to take a look at this streaming encoder if you want to encode large files with a tiny memory footprint : https://github.com/MKCG/php-qoi/blob/main/src/FFI/lib/qoi.c

Not only does compression improve this situation today, but using QOI means improvements may continue to come over time. QOI is a very new, open source image format, and that's already proving to be an advantage. By itself, QOI compression is pretty weak, but YoYoGames have forked it and worked in BZ2 compression to surpass the old PNG format. As QOI itself improves and as YoYoGames continues to work on it, it's almost guaranteed that we'll see the compression ratio in GameMaker get better over time.

I guess this is a good place to plug a project I worked on, https://github.com/rben01/collagen . It lets you compose raster images and SVG shapes (including text) into another SVG, without re-encoding anything into a raster image. It's all just SVG. (Raster images are included via data: urls.)

I bring it up here because it's flip side of TFA. Instead of vectorizing memes, you can just take any old image you have, or a link to an image, and stick it in an SVG with some text on top, without actually having to write the SVG by hand. So an input like [this](https://gist.github.com/rben01/c0f51d8481c3ba8bd0ac108ac0b5a...) produces an output like [this](https://gist.github.com/rben01/23d01aa2668acc64cf4cffa815cb9...) (YMMV whether a linked image works in an SVG; I think in secure contexts it doesn't, but if you just copy paste the SVG into JSFiddle it should work).

Much easier than crafting memes by hand.

I guess this would be a good time to plug a small project I worked on: https://github.com/rben01/collagen . I got tired of seeing how crappy text looked when placed on a JPEG (due to the compression artifacts) and how large some PNGs were because they had a small JPEG-like area, so I made a little CLI program that solves that problem. Rather than settle on any particular image format, it allows the user to provide a collection of inputs -- images (in any format your browser supports), SVGs, shapes, text -- and bundles them into a single SVG file (it base64 encodes the images). So if you want to scale a PNG and place it on top of a JPG, you... just do that, with SVG transforms and whatnot. It produces a single file and is a lot easier than writing out the SVG yourself, and is nearly as easy as opening up a tailor-made mage editor and doing it there. And it's really, truly lossless, as it doesn't touch any of the input data.

I’ve been working on a project that makes creating SVGs — with all assets embedded — as simple as possible. https://github.com/rben01/collagen