Public
Edited
Sep 11, 2023
12 stars
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
function maskedFiberTexture(mask, options = {}) {
let {
width = 800,
height = 600,
linewidth = 1,
coarseness = 10,
waviness = 0.2,
background = "white",
backgroundOpacity = 1,
color = "black",
colorVariation = 0,
threadLen = 10,
opacity = 0.2,
randomSeed = 0
} = options;
const canvas = DOM.canvas(width, height);
const ctx = canvas.getContext("2d");
const baseColor = d3.hsl(color);
const sep = coarseness;
const avgLen = sep * 2;
const rand = makeRandFunction(randomSeed);
const pds = new Poisson(
{
shape: [width, height],
minDistance: sep * 0.8,
maxDistance: sep / 0.8,
tries: 15
},
rand
);
background = d3.color(background);
background.opacity = backgroundOpacity;
ctx.fillStyle = background.formatRgb();
ctx.fillRect(0, 0, width, height);
ctx.lineWidth = linewidth;
const [minv, maxv] = [
Math.max(0, 1 - colorVariation),
Math.min(1.5, 1 + colorVariation)
];
for (let [x, y] of pds.fill()) {
let angle;
if (mask) {
if (mask.getPixel(x, y)[3] != 255) continue;
const [gx, gy] = mask.getGradient(x, y);
const g = Math.min(1, Math.hypot(gx, gy) / 10);
angle =
g * (Math.atan2(gy, gx) + Math.PI * (0.5 + ~~rand(2))) +
(1 - g) * rand(-Math.PI, Math.PI);
} else {
angle = rand(-Math.PI, Math.PI);
}
let [px, py] = [x, y];
ctx.beginPath();
let pts = [[x, y]];
for (let i = 0; i < threadLen * 3; i++) {
let wav = waviness;
let ang = angle;
for (let tries = 5; tries >= 0; tries--) {
const len = sep * 0.33 * rand(0.7, 1 / 0.7);
const ang = angle + Math.PI * 0.25 * wav * rand(-1, 1);
const p = [px + len * Math.cos(ang), py + len * Math.sin(ang)];
if (!mask || mask.getPixel(...p)[3] == 255) {
[px, py] = p;
angle = ang;
pts.push(p);
break;
}
wav *= 1.5;
}
}
let color = d3.hsl(
(baseColor.h + 180 * colorVariation * rand(-1, 1)) % 360,
Math.max(0, Math.min(1, baseColor.s + colorVariation * rand(-1, 1))),
Math.max(0, Math.min(1, baseColor.l + colorVariation * rand(-1, 1)))
);
color.opacity = opacity;
ctx.strokeStyle = color.formatRgb();
for (let p of makeCurve(pts)) ctx.lineTo(...p);
ctx.stroke();
}
return canvas;
}
Insert cell
sampleImage = sampleText(demoText, { fontSize: "400px" })
Insert cell
sampleImageGradient = imageGradient(sampleImage)
Insert cell
Insert cell
imageGradient = function (image) {
const { width, height } = image;
const srcImgData = image.getContext("2d").getImageData(0, 0, width, height);
const getPixel = (x, y) => {
address = (width * Math.round(y) + Math.round(x)) * 4;
return srcImgData.data.slice(address, address + 4);
};
const blur = 5;
const canvas = DOM.canvas(width, height);
const ctx = canvas.getContext("2d");
canvas.style.background = "gray";
ctx.filter = `blur(${blur}px)`;
ctx.drawImage(image, 0, 0);
const imageData = canvas.getContext("2d").getImageData(0, 0, width, height);
const rowSize = width * 4;
let gx, gy, address;
const getGradient = (x, y) => {
x = Math.round(x);
y = Math.round(y);
if (x == 0 || x + 1 == width || y == 0 || y + 1 == height) return [0, 0];
address = (width * y + x) * 4 + 3;
[gx, gy] = [
imageData.data[address + 4] - imageData.data[address - 4],
imageData.data[address + rowSize] - imageData.data[address - rowSize]
];
return [gx, gy];
};
canvas.getGradient = getGradient;
canvas.getPixel = getPixel;
return canvas;
}
Insert cell
Insert cell
Insert cell
function makeCurve(pts) {
if (pts.length < 3) return pts;
for (let i = 0; i < 3; i++) {
pts = lr4(pts, 3, false);
}
return pts;
}
Insert cell
Poisson = require("https://bundle.run/poisson-disk-sampling@2.2.2")
Insert cell
import { lr, lr4, fourPoint } from "@esperanc/lane-riesenfeld-subdivision"
Insert cell
import { presetMenu } from "@esperanc/input-presets"
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more