distance-field 0.2.0

Generate distance fields from images for pseudo-vector rendering
Documentation
<h1 align="center">distance-field</h1>
<p align="center">
A Rust library/executable for generating distance field bitmaps to render as pseudo-vector images in a shader
</p>

<p align="center">
	<a href="https://github.com/tversteeg/distance-field/actions"><img src="https://github.com/tversteeg/distance-field/workflows/rust/badge.svg" alt="CI"/></a>
	<a href="https://crates.io/crates/distance-field"><img src="https://img.shields.io/crates/v/distance-field.svg" alt="Version"/></a>
	<a href="https://docs.rs/distance-field"><img src="https://img.shields.io/badge/api-rustdoc-blue.svg" alt="Rust Documentation"/></a>
	<img src="https://img.shields.io/crates/l/distance-field.svg" alt="License"/>
</p>

# 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](img/input.png?raw=true)

And generate a 64x64 distance field:

![Distance field](img/output.png?raw=true)

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](img/linear.png?raw=true)

Then we apply a treshold function:

![Treshold](img/treshold.png?raw=true)

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.

# Library

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:

```rust
extern crate image;
extern crate distance_field;

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");
}
```

And adding the following to `Cargo.toml`:

```toml
[packages]
build = "build.rs"

[build-dependencies]
distance-field = "0.1"
image = "0.22"
```