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` ````
<p id="textbox"></p>
<button id="imagetoggle" type="button" onclick="">Toggle</button>
<p id="runtime"></p>
<div id="content">
<div id="results">
<canvas id="destcanvas"></canvas>
<p id="textbox"></p>
</div>
<div id="sources">
<canvas id="sourcecanvas"></canvas>
</div>
</div>
```

` ````
p {
display: inline-block;
width: 400px;
margin: 0 0 5px 0;
}
#runtime {margin-left: 50px}
#content {position: relative}
#results * {position: absolute}
#sources {display: none}
```

` ````
"use strict";
console.clear();
const base64ToFloat32Array = base64 => new Float32Array(Uint8Array.from(atob(base64), c => c.charCodeAt(0)).buffer);
function getDisplacementMap() {
const displacementmap = {
x: base64ToFloat32Array(xdata),
y: base64ToFloat32Array(ydata),
width: 200,
height: 200,
origwidth: 800,
origheight: 800,
max: 92.92224884033203
};
return displacementmap;
}
function interpolateVector(v1, v2, factor) {
const invfactor = 1 - factor;
const x = v1.x*invfactor + v2.x*factor;
const y = v1.y*invfactor + v2.y*factor;
return {x:x, y:y};
}
// Return the displacement vector at (x,y) in xy space, i.e. at INTEGER coordinates of the dmap.
function getDisplacement(dmap, x, y) {
const offset = y * dmap.width + x;
return {
x: dmap.x[offset],
y: dmap.y[offset]
};
}
function clamp(num, min, max) {
return Math.min(Math.max(num, min), max);
}
// Return the displacement vector by sampling the dmap at FLOAT coordinates (u,v) in uv space,
// using bilinear interpolation of four pixels immediately surrounding the (u,v) point.
function getBinearDisplacement(dmap, u, v) {
// The uv space is continuous and is always in range [0,1] here.
// To find (x0,y0), the upper left pixel around (u,v), we take x0 = floor(u*width - 0.5).
// We need to shift by 0.5 because pixel coordinates refer to the center of the pixel.
const x = clamp(u*dmap.width - 0.5, 0, dmap.width-1);
const y = clamp(v*dmap.height - 0.5, 0, dmap.height-1);
const x0 = Math.floor(x);
const y0 = Math.floor(y);
const x1 = Math.min(x0+1, dmap.width-1);
const y1 = Math.min(y0+1, dmap.height-1);
// interpolation weights
const x_weight = x - x0;
const y_weight = y - y0;
const topleft = getDisplacement(dmap, x0, y0);
const bottomleft = getDisplacement(dmap, x0, y1);
const topright = getDisplacement(dmap, x1, y0);
const bottomright = getDisplacement(dmap, x1, y1);
const top = interpolateVector(topleft, topright, x_weight);
const bottom = interpolateVector(bottomleft, bottomright, x_weight);
return interpolateVector(top, bottom, y_weight);
}
function interpolatePixel(p1, p2, factor) {
const invfactor = 1 - factor;
const r = p1[0]*invfactor + p2[0]*factor;
const g = p1[1]*invfactor + p2[1]*factor;
const b = p1[2]*invfactor + p2[2]*factor;
const a = p1[3]*invfactor + p2[3]*factor;
return [r, g, b, a];
}
// Return the pixel color data (RGBA array) at (x,y) in xy space, i.e. at INTEGER coordinates of the image.
function getPixelColor(image, x, y) {
const offset = (y * image.width + x) * 4;
return image.data.subarray(offset, offset+4);
}
// Set the pixel color data to that of the given RGBA color array.
function setPixelColor(image, x, y, color) {
let offset = (y * image.width + x) * 4;
image.data[offset++] = color[0];
image.data[offset++] = color[1];
image.data[offset++] = color[2];
image.data[offset] = color[3];
}
// return pixel color data (RGBA array) by sampling the canvas at FLOAT coordinates (x,y) using bilinear interpolation
// Return the pixel color data (RGBA array) by sampling the image at FLOAT coordinates (u,v) in uv space,
// using bilinear interpolation of four pixels immediately surrounding the (u,v) point.
function getBinearColor(image, u, v) {
const x = clamp(u*image.width - 0.5, 0, image.width-1); // see comment in getBinearDisplacement() above
const y = clamp(v*image.height - 0.5, 0, image.height-1);
const x0 = Math.floor(x);
const y0 = Math.floor(y);
const x1 = Math.min(x0+1, image.width-1);
const y1 = Math.min(y0+1, image.height-1);
// interpolation weights
const xweight = x - x0;
const yweight = y - y0;
const topleft = getPixelColor(image, x0, y0);
const bottomleft = getPixelColor(image, x0, y1);
const topright = getPixelColor(image, x1, y0);
const bottomright = getPixelColor(image, x1, y1);
const top = interpolatePixel(topleft, topright, xweight);
const bottom = interpolatePixel(bottomleft, bottomright, xweight);
return interpolatePixel(top, bottom, yweight);
}
function liquifyCanvas(dmap) {
const t0 = performance.now();
const srccanvas = document.getElementById('sourcecanvas');
const srcctx = srccanvas.getContext('2d');
const imgwidth = srccanvas.width;
const imgheight = srccanvas.height;
const srcimage = srcctx.getImageData(0, 0, imgwidth, imgheight);
const destimage = new ImageData(imgwidth, imgheight);
// Basically we're doing endpoint = startpoint + displacementVector, but we need
// to calculate displacements in uv space to get them pixel perfect.
for (let y = 0; y < imgheight; y++) {
const v = (y + 0.5)/imgheight; // Shift by 0.5 to get coordinates of the pixel center.
for (let x = 0; x < imgwidth; x++) {
const u = (x + 0.5)/imgwidth; // Shift by 0.5 to get coordinates of the pixel center.
// let displacementVector = getDisplacement(dmap, Math.floor(u), Math.floor(v)); // no interpolation
const displacementVector = getBinearDisplacement(dmap, u, v);
const endpoint = { // displacement end point in continuous uv space
u: u + displacementVector.x/dmap.width,
v: v + displacementVector.y/dmap.height
};
// let color = getPixelColor(srcimage, Math.floor(endpoint.u), Math.floor(endpoint.v)); // no interpolation
const color = getBinearColor(srcimage, endpoint.u, endpoint.v);
setPixelColor(destimage, x, y, color);
}
}
const destcanvas = document.getElementById('destcanvas');
const destctx = destcanvas.getContext('2d');
destctx.putImageData(destimage, 0, 0);
const t1 = performance.now();
document.getElementById("runtime").innerHTML = "Liquify time: " + Math.round(t1-t0) + " ms.";
}
const renderImage = image => {
const sources = document.getElementById('sources');
const srccanvas = document.getElementById('sourcecanvas');
const srcctx = srccanvas.getContext('2d');
const destcanvas = document.getElementById('destcanvas');
const destctx = destcanvas.getContext('2d');
sources.prepend(image);
srccanvas.width = image.width;
srccanvas.height = image.height;
srcctx.drawImage(image, 0, 0);
destcanvas.width = image.width;
destcanvas.height = image.height;
destcanvas.style.left = "0px";
destcanvas.style.top = "0px";
destcanvas.style.position = "absolute";
}
const toggleVisible = img => {
const textbox = document.getElementById("textbox");
if (img.style.visibility == "visible") {
img.style.visibility = "hidden";
textbox.innerHTML = "ImageData/Canvas on CPU - almost (but not 100%) identical!";
} else {
img.style.visibility = "visible";
textbox.innerHTML = "Photoshop Liquify";
}
}
const initImageToggle = img => {
const results = document.getElementById("results");
const button = document.getElementById("imagetoggle");
results.appendChild(img);
button.onclick = () => toggleVisible(img);
toggleVisible(img);
}
const loadImage = src => new Promise((resolve, reject) => {
const img = new Image();
img.onload = () => resolve(img);
img.onerror = reject;
img.src = src;
});
window.onload = () => {
loadImage(squares800)
.then(renderImage)
.then(getDisplacementMap)
.then(liquifyCanvas)
.then(() => loadImage(squares800_PhotoshopCC2019))
.then(initImageToggle)
}
// Only Base64 data below (2 images + displacement map)
const squares800 = "data:image/png;base64,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";
const squares800_PhotoshopCC2019 = "data:image/png;base64,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```

999px

We'd ask you for an infinite loop joke, but we'd never hear the end of it.

Also see: Tab Triggers