Recent submissions

Comment · 5 years ago
Comment · 5 years ago
Actually, the initialization is completely random. The reason why it might seem too optimal is because the algorithm chooses the colors most similar to the image when rendering the triangles.
Comment · 5 years ago
Comment · 5 years ago
This is amazing! Is there any way to download this in a 3D file format?
Comment · 5 years ago
Comment · 5 years ago
That sounds super cool! I'd be interested in seeing a picture if you end up doing it. Let me know if you need any help with the API!
Comment · 5 years ago
I originally intended this to be a generative art side project, but there's been a magnitude of great ideas commented here!

The graph idea could work, but the algorithm produces slightly different results each time it is ran. It still could be really interesting to try!

Comment · 5 years ago
Not particularly, but Go is fast, compiles to small binaries, and supports multithreading with coroutines which works well for genetic algorithms.
Comment · 5 years ago
Comment · 5 years ago
Comment · 5 years ago
Blurring is a good idea! It could work with placeholder images, but it'll probably be better with smaller ones (eg. profile pictures).
Comment · 5 years ago
Comment · 5 years ago
That's an interesting idea! I suppose it could be used for compression, although my intentions were for this to be a generative art project.

I triangulated a 1988×1491 jpg using 10,000 points and managed to reduce the size to 20% of the original size, but the triangles could still obviously be seen.

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