WebGL-accelerated signed distance field generation for 2D paths
npm install webgl-sdf-generatorThis is a signed distance field (SDF) image generator for 2D paths such as font glyphs, for use in Web environments. It utilizes WebGL when possible for GPU-accelerated SDF generation.
``shell`
npm install webgl-sdf-generator
`js
import initSDFGenerator from 'webgl-sdf-generator'
// or: const initSDFGenerator = require('webgl-sdf-generator')
const generator = initSDFGenerator()
`
The webgl-sdf-generator package's only export is a factory function which you _must invoke_ to return an object which holds various methods for performing the generation.
> _Why a factory function?_ The main reason is to ensure the entire module's code is wrapped within a single self-contained function with no closure dependencies. This enables that function to be stringified and passed into a web worker, for example.
Note that each factory call will result in its own internal WebGL context, which may be useful in some rare cases, but usually you'll just want to call it once and share that single generator object.
`js`
const sdfImageData = generator.generate(
64, // width
64, // height
'M0,0L50,25L25,50Z', // path
[-5, -5, 55, 55], // viewBox
25, // maxDistance
1 // exponent
)
Let's break down those arguments...
- width/height - The dimensions of the resulting image.
- path - An SVG-like path string. Only the following path commands are currently supported: M, L, Q, C, and Z.
- viewBox - The rectangle in the path's coordinate system that will be covered by the output image. Specified as an array of [left, top, right, bottom]. You'll want to account for padding around the path shape in this rectangle.
- maxDistance - The maximum distance that will be encoded in the distance field; this is the distance from the path's edge at which the SDF value will be 0 or 255.
- exponent - An optional exponent to apply to the SDF distance values as they get farther from the path's edge. This can be useful when maxDistance is large, to allow more precision near the path edge where it's more important and decreasing precision far away (visualized here). Whatever uses the SDF later on will need to invert the transformation to get useful distance values. Defaults to 1 for no curve.
The return value is a Uint8Array of SDF image pixel values (single channel), where 127.5 is the "zero distance" aligning with path edges. Values below that are outside the path and values above it are inside the path.
When you call generator.generate(...), it will first attempt to build the SDF using WebGL; this is super fast because it is GPU-acclerated. This should work in most browsers, but if for whatever reason the proper WebGL support is not available or fails due to context loss then it will fall back to a slower JavaScript-based implementation.
If you want more control over this fallback behavior, you can access the individual implementations directly:
`js`
// Same arguments as the main generate():
const resultFromGL = generator.webgl.generate(...args)
const resultFromJS = generator.javascript.generate(...args)
The WebGL implementation also provides method to detect support if you want to test it beforehand:
`js`
const webglSupported = generator.webgl.isSupported()
Making a single SDF has its uses, but it's likely that you actually want that SDF to be added to a larger "atlas" image of many SDFs. While you could do that by calling generator.generate() as above and manually inserting the returned Uint8Array into a larger texture, that isn't optimal because it involves reading pixels back from the GPU for every SDF, which has a performance impact.
Instead, you can generate an SDF directly into a region+channel of a WebGL-enabled canvas, populating your "atlas" directly on the GPU. Only the region/channel for the new SDF will be overwritten, the rest will be preserved. That canvas can then be used as the source for a WebGL texture for rendering. This ends up being much faster since the data all stays on the GPU.
`js`
generator.generateIntoCanvas(
64, // width
64, // height
'M0,0L50,25L25,50Z', // path
[-5, -5, 55, 55], // viewBox
25, // maxDistance
1, // exponent
yourCanvasElement, // output canvas
128, // output x coordinate
64, // output y coordinate
0 // output color channel
)
And similarly for the individual implementations:
`js`
// Same arguments as the main generate():
generator.webgl.generateIntoCanvas(...args)
generator.javascript.generateIntoCanvas(...args)
Note that the canvas you pass:
- must be WebGL-enabled, meaning that getContext('webgl') will succeed for it; you can't give it a canvas with a 2d context, for example.generateIntoCanvas` only sets the exact state it needs and makes no attempt to restore previous state, so sharing it could lead to unpredictable results.
- should not be shared with other processes that change the GL context state;