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<!-- tools for https://colorifyai.art/photo-to-sketch/#playground in 'Ink Sketch' mode -->
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Align & Optimize</title>
<style>
body{font-family:sans-serif;text-align:center;background:#f5f5f5}
canvas{border:1px solid #ccc;margin-top:10px;cursor:grab}
textarea{width:90%;height:90px;margin:10px;font-family:monospace;font-size:12px}
button{margin:5px}
button:disabled{opacity:0.5}
#status{font-size:12px;color:#666;height:16px}
</style>
</head>
<body>
<h3>Align & Optimize</h3>
<textarea id="cmd"></textarea><br>
<button id="copy">Copy commands</button><br>
<input type="file" id="f1">
<input type="file" id="f2"><br><br>
<button id="opt">Optimize</button>
<button id="optZoom">Optimize Zoom</button>
<button id="crop">Crop</button>
<button id="dl" disabled>Download</button>
<br>
Iterations: <input type="range" id="iterSlider" min="2" max="30" value="8" style="vertical-align:middle;width:120px">
<span id="iterVal">8</span>
<div>MSE: <span id="score">-</span> Overlap: <span id="overlap">-</span></div>
<div id="status"></div>
<canvas id="cv"></canvas>
<script>
const canvas = document.getElementById('cv');
function ctx() { return canvas.getContext('2d'); }
const scoreEl = document.getElementById('score');
const overlapEl = document.getElementById('overlap');
const statusEl = document.getElementById('status');
const cmdEl = document.getElementById('cmd');
let i1 = new Image(), i2 = new Image(), l1 = 0, l2 = 0;
let name1 = "image1.png", name2 = "image2.png";
let ox = 0, oy = 0, sx = 1, sy = 1;
let mx = 0, my = 0, drag = 0, lx = 0, ly = 0;
let out1, out2;
let pyr1 = [], pyr2 = [];
const LEVELS = 4;
let optimizing = false;
// --- pyramid ---
// FIX: clamp x+1 within row to avoid cross-row bleed
function buildPyramid(img) {
let levels = [];
let cv = document.createElement('canvas');
cv.width = img.width; cv.height = img.height;
let x = cv.getContext('2d');
x.drawImage(img, 0, 0);
let d = x.getImageData(0, 0, img.width, img.height).data;
let g = new Float32Array(img.width * img.height);
for (let i = 0, j = 0; i < d.length; i += 4, j++)
g[j] = 0.299 * d[i] + 0.587 * d[i+1] + 0.114 * d[i+2];
levels.push({ w: img.width, h: img.height, data: g });
for (let l = 1; l < LEVELS; l++) {
let p = levels[l-1];
let w2 = Math.floor(p.w / 2), h2 = Math.floor(p.h / 2);
let g2 = new Float32Array(w2 * h2);
for (let y = 0; y < h2; y++) {
for (let xi = 0; xi < w2; xi++) {
// clamp xi+1 to stay within the row (p.w-1)
let x0 = 2 * xi, x1 = Math.min(2 * xi + 1, p.w - 1);
let y0 = 2 * y, y1 = Math.min(2 * y + 1, p.h - 1);
g2[y * w2 + xi] = (
p.data[y0 * p.w + x0] + p.data[y0 * p.w + x1] +
p.data[y1 * p.w + x0] + p.data[y1 * p.w + x1]
) * 0.25;
}
}
levels.push({ w: w2, h: h2, data: g2 });
}
return levels;
}
// --- bilinear sample with bounds check ---
// FIX: return NaN for out-of-bounds so caller can skip; clamp indices correctly
function sample(img, x, y) {
if (x < 0 || y < 0 || x >= img.w || y >= img.h) return NaN;
let x0 = Math.floor(x), y0 = Math.floor(y);
let x1 = Math.min(x0 + 1, img.w - 1); // FIX: was img.w (off-by-one)
let y1 = Math.min(y0 + 1, img.h - 1); // FIX: was img.h (off-by-one)
let dx = x - x0, dy = y - y0;
let i00 = img.data[y0 * img.w + x0];
let i10 = img.data[y0 * img.w + x1];
let i01 = img.data[y1 * img.w + x0];
let i11 = img.data[y1 * img.w + x1];
return (i00 * (1-dx) + i10 * dx) * (1-dy) + (i01 * (1-dx) + i11 * dx) * dy;
}
// --- MSE over overlapping region only ---
// FIX: compute the intersection of A's rect and the mapped B rect in A-space,
// then only accumulate pixels where B is defined.
function computeMSELevel(level) {
if (!pyr1.length || !pyr2.length) return Infinity;
let A = pyr1[level], B = pyr2[level];
let sF = 1 / (2 ** level);
// B's bounding box in A-pixel space at this pyramid level
let tox = ox * sF, toy = oy * sF;
let tsx = sx, tsy = sy;
// B covers [tox, tox + B.w*tsx] x [toy, toy + B.h*tsy] in A-space
let bx0 = tox, bx1 = tox + B.w * tsx;
let by0 = toy, by1 = toy + B.h * tsy;
// Intersect with A's extent [0, A.w] x [0, A.h]
let ix0 = Math.max(0, Math.ceil(bx0));
let iy0 = Math.max(0, Math.ceil(by0));
let ix1 = Math.min(A.w, Math.floor(bx1));
let iy1 = Math.min(A.h, Math.floor(by1));
if (ix1 <= ix0 || iy1 <= iy0) return Infinity;
let mse = 0, n = 0;
for (let y = iy0; y < iy1; y++) {
for (let x = ix0; x < ix1; x++) {
let bx = (x - tox) / tsx;
let by = (y - toy) / tsy;
let bVal = sample(B, bx, by);
if (isNaN(bVal)) continue;
let d = A.data[y * A.w + x] - bVal;
mse += d * d;
n++;
}
}
// Update overlap display (only at level 0)
if (level === 0) {
let pct = n / (A.w * A.h) * 100;
overlapEl.textContent = n > 0 ? pct.toFixed(1) + '%' : '0%';
}
return n ? mse / n : Infinity;
}
function computeMSE() { return computeMSELevel(0); }
// --- draw ---
function draw() {
if (!l1) return;
const c = ctx();
c.clearRect(0, 0, canvas.width, canvas.height);
c.drawImage(i1, 0, 0);
if (l2) {
c.save();
c.globalAlpha = 0.5;
c.translate(ox, oy);
c.scale(sx, sy);
c.drawImage(i2, 0, 0);
c.restore();
}
scoreEl.textContent = computeMSE().toFixed(2);
updateCmd();
}
// --- load ---
f1.onchange = e => {
let f = e.target.files[0]; if (!f) return;
name1 = f.name;
i1 = new Image();
i1.onload = () => {
l1 = 1;
canvas.width = i1.width; canvas.height = i1.height;
pyr1 = buildPyramid(i1);
draw();
};
i1.src = URL.createObjectURL(f);
};
f2.onchange = e => {
let f = e.target.files[0]; if (!f) return;
name2 = f.name;
i2 = new Image();
i2.onload = () => {
l2 = 1;
pyr2 = buildPyramid(i2);
ox = (canvas.width - i2.width) / 2;
oy = (canvas.height - i2.height) / 2;
draw();
};
i2.src = URL.createObjectURL(f);
};
// --- mouse ---
canvas.onmousemove = e => {
mx = e.offsetX; my = e.offsetY;
if (!drag) return;
ox += (e.offsetX - lx);
oy += (e.offsetY - ly);
lx = e.offsetX; ly = e.offsetY;
draw();
};
canvas.onmousedown = e => {
drag = 1;
lx = e.offsetX; ly = e.offsetY;
canvas.style.cursor = "grabbing";
};
canvas.onmouseup = canvas.onmouseleave = () => {
drag = 0;
canvas.style.cursor = "grab";
};
// --- scroll to zoom (mouse-anchored) ---
canvas.onwheel = e => {
if (!l2) return;
e.preventDefault();
let factor = e.deltaY < 0 ? 1.01 : 0.99;
let ix = (mx - ox) / sx;
let iy = (my - oy) / sy;
sx *= factor; sy *= factor;
ox = mx - ix * sx;
oy = my - iy * sy;
draw();
};
// --- keyboard ---
document.addEventListener("keydown", e => {
// FIX: don't intercept keys when typing in textarea
if (document.activeElement === cmdEl) return;
if (!l2) return;
if (e.key.startsWith("Arrow")) e.preventDefault();
const PAN_STEP = 1;
const SCALE_STEP = 0.002;
if (e.shiftKey) {
let ix = (mx - ox) / sx;
let iy = (my - oy) / sy;
if (e.key === "ArrowRight") sx += SCALE_STEP;
if (e.key === "ArrowLeft") sx -= SCALE_STEP;
if (e.key === "ArrowUp") sy += SCALE_STEP;
if (e.key === "ArrowDown") sy -= SCALE_STEP;
ox = mx - ix * sx;
oy = my - iy * sy;
} else {
if (e.key === "ArrowRight") ox += PAN_STEP;
if (e.key === "ArrowLeft") ox -= PAN_STEP;
if (e.key === "ArrowUp") oy -= PAN_STEP;
if (e.key === "ArrowDown") oy += PAN_STEP;
}
draw();
});
// FIX: space only fires optimize when not in textarea
document.addEventListener("keydown", e => {
if (document.activeElement === cmdEl) return;
if (e.code === "Space") {
e.preventDefault();
opt.click();
}
});
// --- slider ---
const iterSlider = document.getElementById('iterSlider');
const iterVal = document.getElementById('iterVal');
iterSlider.oninput = () => iterVal.textContent = iterSlider.value;
function numIters() { return parseInt(iterSlider.value); }
// --- set busy state ---
function setBusy(busy) {
optimizing = busy;
opt.disabled = busy;
optZoom.disabled = busy;
statusEl.textContent = busy ? "Optimizing…" : "";
}
// --- probe MSE without mutating globals ---
// Temporarily sets ox/oy/sx/sy, evaluates, then restores.
function probeMSE(tox, toy, tsx, tsy, level) {
let pox = ox, poy = oy, psx = sx, psy = sy;
ox = tox; oy = toy; sx = tsx; sy = tsy;
let s = computeMSELevel(level);
ox = pox; oy = poy; sx = psx; sy = psy;
return s;
}
// --- optimizer (translation + uniform scale) ---
opt.onclick = async () => {
if (!l1 || !l2 || optimizing) return;
setBusy(true);
const ITERS = numIters();
for (let level = LEVELS - 1; level >= 0; level--) {
let best = { ox, oy, sx, sy, score: computeMSELevel(level) };
for (let iter = 0; iter < ITERS; iter++) {
let stepO = (2 ** level) / (iter + 1);
let stepS = 0.01 / (iter + 1);
for (let dx of [-1, 0, 1])
for (let dy of [-1, 0, 1])
for (let ds of [-1, 0, 1]) {
let tox = best.ox + dx * stepO;
let toy = best.oy + dy * stepO;
let ts = best.sx + ds * stepS;
if (ts <= 0.01) continue;
// FIX: probe without touching globals
let s = probeMSE(tox, toy, ts, ts, level);
if (s < best.score)
best = { ox: tox, oy: toy, sx: ts, sy: ts, score: s };
}
// commit the best found this iteration
ox = best.ox; oy = best.oy; sx = best.sx; sy = best.sy;
draw();
await new Promise(r => setTimeout(r, 0));
}
}
setBusy(false);
};
// --- optimize zoom (mouse-anchor invariant) ---
optZoom.onclick = async () => {
if (!l1 || !l2 || optimizing) return;
setBusy(true);
const ITERS = numIters();
let ax = mx, ay = my;
for (let level = LEVELS - 1; level >= 0; level--) {
// best stores the full transform, not just sx
let best = { ox, oy, sx, sy, score: computeMSELevel(level) };
for (let iter = 0; iter < ITERS; iter++) {
let stepS = 0.02 / (iter + 1);
for (let ds of [-1, 0, 1]) {
let ts = best.sx + ds * stepS;
if (ts <= 0.01) continue;
// anchor invariant: point (ax,ay) in canvas == point (ix,iy) in image2
// must satisfy: ax = ox + ix*sx => ix = (ax - ox) / sx
// after scale change to ts: tox = ax - ix*ts
// derive from COMMITTED globals (best.ox/sx), not mid-loop state
let ix = (ax - best.ox) / best.sx;
let iy = (ay - best.oy) / best.sy;
let tox = ax - ix * ts;
let toy = ay - iy * ts;
let s = probeMSE(tox, toy, ts, ts, level);
if (s < best.score) best = { ox: tox, oy: toy, sx: ts, sy: ts, score: s };
}
// commit best directly — no re-derivation needed
ox = best.ox; oy = best.oy; sx = best.sx; sy = best.sy;
draw();
await new Promise(r => setTimeout(r, 0));
}
}
setBusy(false);
};
// --- crop ---
crop.onclick = () => {
let x2 = ox, y2 = oy, w2 = i2.width * sx, h2 = i2.height * sy;
let x0 = Math.max(0, x2), y0 = Math.max(0, y2);
let x1 = Math.min(canvas.width, x2 + w2), y1 = Math.min(canvas.height, y2 + h2);
let w = x1 - x0, h = y1 - y0;
if (w <= 0 || h <= 0) return alert("no overlap");
out1 = document.createElement('canvas');
out2 = document.createElement('canvas');
out1.width = out2.width = w; out1.height = out2.height = h;
out1.getContext('2d').drawImage(i1, x0, y0, w, h, 0, 0, w, h);
out2.getContext('2d').drawImage(
i2, (x0 - ox) / sx, (y0 - oy) / sy, w / sx, h / sy, 0, 0, w, h
);
dl.disabled = 0;
};
// --- download ---
dl.onclick = () => {
let save = (cv, n) => {
let a = document.createElement('a');
a.download = n + '.clipped.png';
a.href = cv.toDataURL();
a.click();
};
save(out1, 'image1');
save(out2, 'image2');
};
// --- copy ---
copy.onclick = () => navigator.clipboard.writeText(cmdEl.value);
// --- ImageMagick command ---
function updateCmd() {
if (!l1 || !l2) return;
let x2 = ox, y2 = oy, w2 = i2.width * sx, h2 = i2.height * sy;
let x0 = Math.max(0, x2), y0 = Math.max(0, y2);
let x1 = Math.min(canvas.width, x2 + w2), y1 = Math.min(canvas.height, y2 + h2);
let w = Math.floor(x1 - x0), h = Math.floor(y1 - y0);
if (w <= 0 || h <= 0) return;
let crop = `${w}x${h}+${Math.round(x0)}+${Math.round(y0)}`;
// AffineProjection: a,b,d,e,tx,ty (uniform scale → a=e=sx)
let a = sx, b = 0, d = 0, e = sy, tx = ox, ty = oy;
cmdEl.value =
`magick "${name1}" -crop ${crop} +repage "${name1}.clipped.png"
magick "${name2}" -virtual-pixel black -distort AffineProjection "${a},${b},${d},${e},${tx},${ty}" -crop ${crop} +repage "${name2}.clipped.png"`;
}
</script>
</body>
</html>
|
