image-rs / color_quant Goto Github PK
View Code? Open in Web Editor NEWColor quantization library
License: MIT License
Color quantization library
License: MIT License
The complex but stable (API unlikely to change) algorithms in math::nq
seems to be good subjects of benchmarking. Benchmarks will help those who want to improve their performance.
@nwin Same as the other ones.
There is a CUDA implementation of NeuQuant, CuNeuQuant, in C++
(Source code was Exported to this GitHub repository)
Though it is licensed under LGPL-3,
Dynamically linking LGPL-3 library requires no GPL license
arrayfire This crate(under BSD) supports both OpenCL and CUDA for parallel computing
Hello,
I'm using this library and I've recently encountered an issue with a 500x500 image. It seems that it's caused by the size of my image, because scaling down to 300x300 fix the issue.
You can see more explanation here https://stackoverflow.com/a/33723556
Have you ever encountered this issue?
Thank you
Currently this crate has no tests and only 1 example. I think it would be better to have more of them.
This crate is a dependency of the gif
crate and seems to have been forgotten in the move of all image
-related crates to the image-rs organization. See image-rs/image#881. It would be a good idea to also move this repository as well as the crates.io ownership to the image-rs organization.
There is only 1 algorithm available and that too written specifically for RGBA format, It would be great to have the other algorithms like:
I can help with last three fast ones
colors should be
$>=64$
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