om-fork-distance-field

Crates.ioom-fork-distance-field
lib.rsom-fork-distance-field
version0.3.0-alpha
created_at2022-08-26 16:42:49.062416+00
updated_at2025-11-25 07:42:44.753966+00
descriptionTemporary fork! Generate distance fields from images for pseudo-vector rendering
homepagehttps://github.com/AndreasOM/om-fork-distance-field
repositoryhttps://github.com/AndreasOM/om-fork-distance-field.git
max_upload_size
id652891
size87,030
Andreas Neukoetter (AndreasOM)

documentation

https://docs.rs/distance-field

README

distance-field

Warning:

This is a temporary fork until a new upstream version is released against image>=0.25.9

Build Status Crates.io Documentation License: GPL-3.0 Downloads A Rust library/executable for generating distance field bitmaps to render as pseudo-vector images in a shader

Build Status Cargo License: GPL-3.0 Downloads

A Rust library/executable for generating distance field bitmaps to render as pseudo-vector images in a shader

Documentation

Generate distance field bitmaps for rendering as pseudo-vector images in shaders.

An example usecase for the library would be to automatically convert asset images. You can achieve this by having a build.rs similar to this:

use std::fs::File;
use om_fork_distance_field::DistanceFieldExt;

fn convert_image_to_dfield(input: &str, output: &str) {
    // Load the 'input' image
    let img = image::open(input).unwrap();

    // Generate a distance field from the image
    let outbuf = img.grayscale().distance_field(om_fork_distance_field::Options {
        size: (128, 128),
        max_distance: 256,
        ..Default::default()
    });

    // Save it to 'output' as a PNG
    image::DynamicImage::ImageLuma8(outbuf).save(output).unwrap();
}

fn main() {
    convert_image_to_dfield("img/input.png", "output.png");
}

Generator binary

Checkout the repository and cd into it; then run:

cargo run --example generator -- img/input.png output.png 64 64

This will take the following image as input:

Rust logo

And generate a 64x64 distance field:

Distance field

Now we can use the generated distance field to create a vector image.

Using the distance field

First we need to scale it up with a linear interpolation:

Upscaled linear

Then we apply a treshold function:

Treshold

You can see that we have something which looks very similar to the original input image and that just from a 64x64 image! But it's still very pixelated and doesn't look like a vector image. This can be fixed by not doing a hard treshold but allowing some shades of gray.

Commit count: 0

cargo fmt