big-nacho

5 ms·

1.
by big-nacho 1y ago
Very cool stuff!
2.
Show HN: Real time visual saliency detection(github.com)
3 points by big-nacho 1y ago|0 comments
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by big-nacho 1y ago
Two things: 1. I like the natural feel it gives to images. 2. Easy to control. As much as it's super easy to cook up a matrix based error diffusion dither (like Floyd), there are a lot of things to take care of to reduce artifacts and
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by big-nacho 1y ago
GIF rendering is a big use case. pngquant was a big comparison subject during development (it's a brilliant piece of work, and a mature tool that does a few things more than just quantizing). Take it with a grain of salt of course, but
5.
by big-nacho 1y ago
Yeah, good point. I'll definitely add an image showing the saliency map tradeoff. Regarding full examples, because some other projects seem to have cherry picked cases where they perform very well, I wanted to go for a "try it out
6.
by big-nacho 1y ago
Something that caught my eye is that it seemed to be a kind of "controlled" K-Means. One problem with K-means is that it's too sensitive to the initial state. You can run it multiple times with different initial states or u
7.
by big-nacho 1y ago
Gamma aware operations happen in the C code. The python code you're referencing is just changing the scale of color intensities. What you shouldn't do is liberally add up sRGB colors, take averages and generally do any math on the
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by big-nacho 1y ago
Will take a look, thanks for sharing! This does not implement Wu v2 but a different method he published a year later though.
9.
Show HN: High End Color Quantizer(github.com)
123 points by big-nacho 1y ago|34 comments