An iterative algorithm to generate high quality triangulated images.
Introduction
Triangula uses a modified genetic algorithm to triangulate images. It works best with images smaller than 3000px and with fewer than 3000 points, typically producing an optimal result within a couple of minutes. For a full explanation of the algorithm, see this page in the wiki.
Install
GUI
Install the GUI from the releases page. The GUI uses Wails for its frontend.
If the app isn't running on Linux, go to the Permissions tab in the executable's properties and tick Allow executing file as program.
CLI
Install the CLI by running:
go get -u github.com/RH12503/Triangula-CLI/triangula
Your PATH variable also needs to include your go/bin directory, which is ~/go/bin on macOS, $GOPATH/bin on Linux, and c:\Go\bin on Windows.
Then run it using the command:
triangula run -img <path to image> -out <path to output JSON>
and when you're happy with its fitness, render a SVG:
triangula render -in <path to outputted JSON> -img <path to image> -out <path to output SVG>
For more detailed instructions, including rendering PNGs with effects see this page.
Options
For almost all cases, only changing the number of points and leaving all other options with their default values will generate an optimal result.
| Name | Flag | Default | Usage |
|---|---|---|---|
| Points | --points, -p |
300 | The number of points to use in the triangulation |
| Mutations | --mutations, --mut, -m |
2 | The number of mutations to make |
| Variation | --variation, -v |
0.3 | The variation each mutation causes |
| Population | --population, --pop, --size |
400 | The population size in the algorithm |
| Cutoff | --cutoff, --cut |
5 | The cutoff value of the algorithm |
| Cache | --cache, -c |
22 | The cache size as a power of 2 |
| Block | --block, -b |
5 | The size of the blocks used when rendering |
| Threads | --threads, -t |
0 | The number of threads to use or 0 to use all cores |
| Repetitions | --reps, -r |
500 | The number of generations before saving to the output file (CLI only) |
Examples of output
Comparison to esimov/triangle
esimov/triangle seems to be a similar project to Triangula that is also written in Go. However, the two appear to generate very different styles. One big advantage of triangle is that it generates an image almost instantaneously, while Triangula needs to run many iterations.
esimov/triangle results were taken from their Github repo, and Triangula's results were generated over 1-2 minutes.
| esimov/triangle | Triangula |
|---|---|
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API
Simple example:
func main() {
// Open and decode a PNG/JPEG
file, err := os.Open("image.png")
if err != nil {
log.Fatal(err)
}
image, _, err := image.Decode(file)
file.Close()
if err != nil {
log.Fatal(err)
}
img := imageData.ToData(image)
pointFactory := func() normgeom.NormPointGroup {
return (generator.RandomGenerator{}).Generate(200) // 200 points
}
evaluatorFactory := func(n int) evaluator.Evaluator {
// 22 for the cache size and 5 for the block size
return evaluator.NewParallel(img, 22, 5, n)
}
var mutator mutation.Method
// 1% mutation rate and 30% variation
mutator = mutation.NewGaussianMethod(0.01, 0.3)
// 400 population size and 5 cutoff
algo := algorithm.NewSimple(pointFactory, 400, 5, evaluatorFactory, mutator)
// Run the algorithm
for {
algo.Step()
fmt.Println(algo.Stats().BestFitness)
}
}
Contribute
Any contributions are welcome. Currently help is needed with:
- Supporting more image types for the CLI and GUI. (eg. .tiff, .webp, .heic)
- Allowing drag and drop of images from the web for the GUI.
- More effects.
- Any optimizations.
Triangula version: 1.1.2
OS: Manjaro (KDE Plasma)
Stdout:
![[Improvement] Add community section to Readme](https://avatars.githubusercontent.com/u/17872073?v=4)
![[Feature Request] Add settings about 'max generations' to automatically pause or stop.](https://avatars.githubusercontent.com/u/36528430?v=4)
