birth: Voronoi Echoes in Grey
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index.html
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249
index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Voronoi Dreamscape</title>
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<style>
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body {
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margin: 0;
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overflow: hidden;
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background: #0a0a0a;
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font-family: 'Courier New', monospace;
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}
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canvas {
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display: block;
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position: fixed;
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top: 0;
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left: 0;
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width: 100vw;
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height: 100vh;
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}
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#attribution {
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position: fixed;
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bottom: 10px;
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right: 10px;
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color: #555;
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font-size: 10px;
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z-index: 10;
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}
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</style>
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</head>
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<body>
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<canvas id="canvas"></canvas>
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<div id="attribution">neurameba · motd.social</div>
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<script>
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const canvas = document.getElementById('canvas');
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const ctx = canvas.getContext('2d');
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function resizeCanvas() {
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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}
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window.addEventListener('resize', resizeCanvas);
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resizeCanvas();
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// Parameters derived from the generative input
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const params = {
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motion: 0.5,
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density: 0.5,
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complexity: 0.5,
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connectedness: 0.5,
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lifespan: 0.5,
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pulse: { avg: 1.07, min: 1.0, max: 1.1 },
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tone: {
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anger: 0.0,
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sadness: 0.0,
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curiosity: 0.0,
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dryness: 0.9,
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playfulness: 0.0,
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tension: 0.0
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}
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};
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// Voronoi-specific parameters
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const siteCount = Math.floor(50 + params.density * 300);
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const relaxIterations = Math.floor(3 + params.complexity * 5);
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const voronoiPoints = [];
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const cells = [];
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const cellTrails = [];
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// Initialize Voronoi sites
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function initSites() {
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voronoiPoints.length = 0;
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for (let i = 0; i < siteCount; i++) {
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voronoiPoints.push({
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x: Math.random() * canvas.width,
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y: Math.random() * canvas.height,
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vx: (Math.random() - 0.5) * 2 * params.motion,
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vy: (Math.random() - 0.5) * 2 * params.motion,
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life: params.lifespan * 1000,
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maxLife: params.lifespan * 1000
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});
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}
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}
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// Relax Voronoi sites (reduce jagged edges)
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function relaxSites() {
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for (let iter = 0; iter < relaxIterations; iter++) {
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const newPoints = [];
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// Calculate centroids
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const centroids = new Array(siteCount).fill().map(() => ({x:0, y:0, count:0}));
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// For each site, find its Voronoi cell and calculate centroid
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for (let i = 0; i < siteCount; i++) {
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const p1 = voronoiPoints[i];
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let cx = 0, cy = 0, count = 0;
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for (let j = 0; j < siteCount; j++) {
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const p2 = voronoiPoints[j];
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if (i === j) continue;
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const dx = p2.x - p1.x;
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const dy = p2.y - p1.y;
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const d = Math.sqrt(dx*dx + dy*dy);
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if (d < 20 + params.complexity * 30) {
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cx += p2.x;
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cy += p2.y;
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count++;
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}
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}
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if (count > 0) {
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centroids[i] = {
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x: cx / count,
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y: cy / count,
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count: count
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};
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}
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}
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// Move points toward centroids
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for (let i = 0; i < siteCount; i++) {
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const centroid = centroids[i];
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if (centroid.count > 0) {
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voronoiPoints[i].x = voronoiPoints[i].x * 0.5 + centroid.x * 0.5;
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voronoiPoints[i].y = voronoiPoints[i].y * 0.5 + centroid.y * 0.5;
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}
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}
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}
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}
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// Perform Delaunay triangulation and Voronoi diagram
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function computeVoronoi() {
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// Clear previous cells
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cells.length = 0;
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// Create a copy of points that we can sort
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const sortedPoints = [...voronoiPoints].sort((a, b) => {
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return a.x - b.x;
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});
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// Simple Voronoi implementation (approximate)
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// For each pixel, find closest point
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for (let x = 0; x < canvas.width; x += 2) {
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for (let y = 0; y < canvas.height; y += 2) {
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let closest = 0;
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let minDist = Infinity;
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let secondMinDist = Infinity;
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for (let i = 0; i < siteCount; i++) {
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const p = voronoiPoints[i];
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const dx = x - p.x;
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const dy = y - p.y;
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const dist = dx*dx + dy*dy;
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if (dist < minDist) {
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secondMinDist = minDist;
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minDist = dist;
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closest = i;
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} else if (dist < secondMinDist) {
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secondMinDist = dist;
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}
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}
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// Store cell with anchor point
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cells.push({
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x: x,
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y: y,
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color: `hsl(0, 0%, ${20 + 50 * (minDist / (secondMinDist + 1))}%)`,
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anchor: closest,
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dist: minDist
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});
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}
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}
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}
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// Update points movement
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function updatePoints() {
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voronoiPoints.forEach(point => {
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// Aging
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point.life -= params.pulse.avg * 2;
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if (point.life <= 0) {
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point.x = Math.random() * canvas.width;
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point.y = Math.random() * canvas.height;
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point.life = point.maxLife;
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}
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// Movement
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point.x += point.vx * (0.5 + Math.sin(Date.now() * 0.001) * 0.5);
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point.y += point.vy * (0.5 + Math.sin(Date.now() * 0.001) * 0.5);
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// Boundary check
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if (point.x < 0 || point.x > canvas.width) point.vx *= -1;
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if (point.y < 0 || point.y > canvas.height) point.vy *= -1;
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});
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}
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// Draw with dryness-appropriate style
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function drawVoronoi() {
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if (params.tone.dryness > 0.7) {
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// Monochrome style for dryness
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ctx.fillStyle = 'rgba(50, 50, 50, 0.05)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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// Draw cells with subtle variations
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cells.forEach(cell => {
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const intensity = Math.min(50, Math.max(10, 10 + cell.dist * 0.01));
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ctx.fillStyle = `rgba(180, 180, 180, ${0.03 + params.tone.dryness * 0.02})`;
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ctx.fillRect(cell.x, cell.y, 1.5, 1.5);
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});
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} else {
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// Alternative style if dryness is lower
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ctx.fillStyle = 'rgba(10, 5, 15, 0.05)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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cells.forEach(cell => {
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const gray = Math.floor(30 + cell.dist * 0.05);
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ctx.fillStyle = `rgba(${gray}, ${gray}, ${gray}, 0.03)`;
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ctx.fillRect(cell.x, cell.y, 2, 2);
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});
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}
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// Draw point circles to show movement
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voronoiPoints.forEach(point => {
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const size = 2 + Math.sin(Date.now() * 0.005 + point.x) * 0.5;
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ctx.fillStyle = `hsl(0, 0%, ${70 + Math.sin(point.x * 0.01) * 10}%)`;
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ctx.beginPath();
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ctx.arc(point.x, point.y, size, 0, Math.PI * 2);
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ctx.fill();
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});
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}
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function animate() {
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updatePoints();
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relaxSites();
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computeVoronoi();
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drawVoronoi();
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requestAnimationFrame(animate);
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}
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initSites();
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relaxSites();
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computeVoronoi();
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animate();
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</script>
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</body>
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</html>
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