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  • §

    Demo Delaunator 002

    Responsive Voronoi cells in a RawAsset wrapper

  • §

    Run code

    import * as scrawl from '../source/scrawl.js';
  • §

    @ts-expect-error

    import Delaunator from 'https://cdn.skypack.dev/delaunator@5.0.0';
    
    import { reportSpeed, addImageDragAndDrop } from './utilities.js';
  • §

    The following functions are used to handle the Delaunay object

    • Code adapted from the Delaunator Guide website
    const edgesOfTriangle = (t) => [3 * t, 3 * t + 1, 3 * t + 2];
    
    const pointsOfTriangle = (del, t) => {
    
        let { triangles } = del;
    
        return edgesOfTriangle(t).map(e => triangles[e]);
    };
    
    const triangleOfEdge = (e) => Math.floor(e / 3);
    
    const triangleCenter = (pts, del, t) => {
    
        const vertices = pointsOfTriangle(del, t).map(p => pts[p]);
    
        return circumcenter(vertices[0], vertices[1], vertices[2]);
    };
    
    const circumcenter = (a, b, c) => {
    
        if (a && b && c && a.length && b.length && c.length) {
    
            const ad = a[0] * a[0] + a[1] * a[1],
                bd = b[0] * b[0] + b[1] * b[1],
                cd = c[0] * c[0] + c[1] * c[1];
    
            const D = 2 * (a[0] * (b[1] - c[1]) + b[0] * (c[1] - a[1]) + c[0] * (a[1] - b[1]));
    
            return [
                1 / D * (ad * (b[1] - c[1]) + bd * (c[1] - a[1]) + cd * (a[1] - b[1])),
                1 / D * (ad * (c[0] - b[0]) + bd * (a[0] - c[0]) + cd * (b[0] - a[0])),
            ];
        }
    };
    
    const forEachVoronoiEdge = (pts, del, cb) => {
    
        if (del) {
    
            let { triangles, halfedges } = del;
    
            let len = triangles.length;
    
            for (let e = 0; e < len; e++) {
    
                if (e < halfedges[e]) {
    
                    const p = triangleCenter(pts, del, triangleOfEdge(e));
                    const q = triangleCenter(pts, del, triangleOfEdge(halfedges[e]));
    
                    cb(e, p, q);
                }
            }
        }
    };
  • §

    Scene setup

    const canvas = scrawl.library.artefact.mycanvas;
  • §

    Import image from DOM, and create Picture entity using it

    scrawl.importDomImage('.flowers');
  • §

    Magic number - base Cell dimensions

    const baseDimension = 400;
  • §

    Create the coordinates to be used as the Voronoi web’s points - for this demo these coordinates will be static, except for the first point which will track the mouse cursor position over the canvas

    const coordArray = [],
        center = [baseDimension/2, baseDimension/2];
    
    for (let i = 0; i < 200; i++) {
    
        const x = Math.floor(Math.random() * (baseDimension * 2) - (baseDimension / 2));
        const y = Math.floor(Math.random() * (baseDimension * 2) - (baseDimension / 2));
        coordArray.push([x, y]);
    }
  • §

    We build the Voronoi web in a RawAsset wrapper

    let myAsset = scrawl.makeRawAsset({
    
        name: 'voronoi-web',
    
        userAttributes: [{
  • §

    points - an array holding the coordinate arrays we generate elsewhere

    • For this demo, we will be updating the first coordinate point with the mouse cursor’s position when it is over the canvas element
            key: 'points', 
            defaultValue: [],
            setter: function (item) {
    
                this.points = [...item];
            },
        },{
  • §

    here - a handle to our Canvas wrapper’s base Cell’s here object, which gives us the current mouse cursor coordinates

            key: 'here', 
            defaultValue: null,
        },{
  • §

    delaunay - a handle to the current Delaunator object we recreate on each update

            key: 'delaunay', 
            defaultValue: null,
        },{
  • §

    canvasWidth, canvasHeight - make the RawAsset’s dimensions the same as our canvas base Cell’s dimensions

            key: 'canvasWidth', 
            defaultValue: baseDimension,
        },{
            key: 'canvasHeight', 
            defaultValue: baseDimension,
        },{
  • §

    trigger - we update the RawAsset at the start of each Display cycle by setting its trigger attribute. All the work with recreating the Delaunator object happens here

            key: 'trigger', 
            defaultValue: false,
            setter: function (item) {
  • §

    @ts-expect-error

                const { points, here } = this;
    
                if (here && here.active) points[0] = [here.x, here.y];
                else points[0] = [...center];
    
                this.delaunay = Delaunator.from(points);
    
                this.dirtyData = item;
            },
        }],
  • §

    assetWrapper is the same as this when function is declared with the function keyword

    • We clear the RawAsset’s canvas, then draw the updated Voronoi web onto it
        updateSource: function (assetWrapper) {
    
            const { element, engine, points, delaunay, canvasWidth, canvasHeight } = assetWrapper;
    
            element.width = canvasWidth;
            if (!element.height) element.height = canvasHeight;
    
            engine.strokeStyle = 'black';
            engine.lineWidth = 2;
    
            engine.beginPath();
    
            forEachVoronoiEdge(points, delaunay, (e, p, q) => {
    
                if (p && q) {
    
                    engine.moveTo(...p);
                    engine.lineTo(...q);
                }
            });
    
            engine.stroke();
        },
    });
  • §

    Initialize the RawAsset with relevant data

    myAsset.set({
        points: coordArray,
        here: canvas.base.here,
    });
  • §

    The RawAsset needs a subscriber to make it active - currently filters do not subscribe to assets so we need to do it via an otherwise unused Picture entity

    scrawl.makePicture({
    
        name: 'temp',
        asset: 'voronoi-web',
        method: 'none',
    });
  • §

    We apply the mosaic effect over our image using a Scrawl-canvas filter

    scrawl.makeFilter({
    
        name: 'mosaic-filter',
    
        actions: [{
  • §

    Load our RawAsset’s output - the Voronoi web - into the filter

            action: 'process-image',
            lineOut: 'web',
            asset: 'voronoi-web',
            width: baseDimension,
            height: baseDimension,
            copyWidth: '100%',
            copyHeight: '100%',
        },{
  • §

    Create the tiles from the Voronoi web

            action: 'flood',
            lineOut: 'white-background',
            red: 255,
            green: 255,
            blue: 255,
            alpha: 255,
        },{
            action: 'compose',
            lineIn: 'web',
            lineMix: 'white-background',
            lineOut: 'webbed-background',
        },{
            action: 'channels-to-alpha',
            lineIn: 'webbed-background',
            lineOut: 'webbed-background',
            includeRed: true,
            includeGreen: false,
            includeBlue: false,
        },{
  • §

    Apply our image over the tiles

            action: 'compose',
            lineIn: 'source',
            lineMix: 'webbed-background',
            compose: 'source-atop',
        },{
  • §

    Tile shadows - blur the voronoi web then apply it, offset up and left, to the image

            action: 'gaussian-blur',
            lineIn: 'web',
            lineOut: 'blurred-web',
            radius: 3,
        },{
            action: 'compose',
            lineMix: 'blurred-web',
            offsetX: -2,
            offsetY: -2,
            compose: 'destination-atop',
        },{
  • §

    Tile highlights - invert the blurred web then apply it, offset down and right, to the image

            action: 'invert-channels',
            lineIn: 'blurred-web',
            lineOut: 'blurred-web',
        },{
            action: 'compose',
            lineMix: 'blurred-web',
            offsetX: 2,
            offsetY: 2,
            compose: 'destination-atop',
        }],
    });
  • §

    Display our image in a Picture entity - the filter is applied here

    const piccy = scrawl.makePicture({
    
        name: 'myFlower',
        asset: 'iris',
    
        dimensions: ['100%', '100%'],
        copyDimensions: ['100%', '100%'],
    
        filters: ['mosaic-filter'],
    });
  • §

    Scene animation

    Function to display frames-per-second data, and other information relevant to the demo

    const report = reportSpeed('#reportmessage');
  • §

    Create the Display cycle animation

    scrawl.makeRender({
    
        name: 'demo-animation',
        target: canvas,
  • §

    We need to update our RawAsset at the start of each Display cycle

        commence: () => myAsset.set({ trigger: true }),
        afterShow: report,
    });
  • §

    User interaction

    For this demo we will suppress touchmove functionality over the canvas

    scrawl.addNativeListener(['touchmove'], (e) => {
    
        e.preventDefault();
        e.returnValue = false;
    
    }, canvas.domElement);
    
    
    addImageDragAndDrop(canvas, '#my-image-store', piccy);
  • §

    Development and testing

    console.log(scrawl.library);