Crates.io | distance-field |
lib.rs | distance-field |
version | 0.2.1 |
source | src |
created_at | 2017-12-16 12:19:56.315134 |
updated_at | 2024-02-09 21:27:58.077193 |
description | Generate distance fields from images for pseudo-vector rendering |
homepage | https://github.com/tversteeg/distance-field |
repository | https://github.com/tversteeg/distance-field.git |
max_upload_size | |
id | 43293 |
size | 87,425 |
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 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(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");
}
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:
And generate a 64x64 distance field:
Now we can use the generated distance field to create a vector image.
First we need to scale it up with a linear interpolation:
Then we apply a treshold function:
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.