107 lines
3.8 KiB
TypeScript
107 lines
3.8 KiB
TypeScript
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import type { Vec2, Mat3 } from '../types';
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import { estimateHomography, applyHomography } from '../geometry/homography';
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/** Per-point reprojection error in pixels: |H·machine − image|. */
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export function residuals(H: Mat3, machine: Vec2[], image: Vec2[]): number[] {
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return machine.map((m, i) => {
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const p = applyHomography(H, m);
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return Math.hypot(p[0] - image[i]![0], p[1] - image[i]![1]);
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});
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}
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interface CalibPoint {
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machine: Vec2;
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image: Vec2;
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}
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export interface CalibrationDeps {
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panel: HTMLElement;
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overlay: HTMLCanvasElement;
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onHomography: (H: Mat3, points: CalibPoint[]) => void;
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}
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/**
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* Renders the calibration panel. Flow: enter machine X/Y → click "Click point in video" →
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* click the spindle tip in the video → repeat ≥4× → "Compute".
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*/
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export function mountCalibration(deps: CalibrationDeps): void {
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const { panel, overlay } = deps;
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const points: CalibPoint[] = [];
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let pendingMachine: Vec2 | null = null;
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panel.innerHTML = `
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<h2>Calibration</h2>
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<div class="row"><small>Jog the spindle to a known X/Y, enter it, then click the tip in the video.</small></div>
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<div class="row">
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X <input id="cal-x" type="number" step="0.1" />
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Y <input id="cal-y" type="number" step="0.1" />
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<button id="cal-arm">Click point in video</button>
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</div>
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<ul id="cal-list"></ul>
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<div class="row">
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<button id="cal-compute">Compute homography</button>
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<button id="cal-clear">Clear</button>
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</div>
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<textarea id="cal-json" rows="6" style="width:100%" readonly placeholder="Calibration JSON appears here"></textarea>
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`;
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const xEl = panel.querySelector('#cal-x') as HTMLInputElement;
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const yEl = panel.querySelector('#cal-y') as HTMLInputElement;
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const armBtn = panel.querySelector('#cal-arm') as HTMLButtonElement;
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const list = panel.querySelector('#cal-list') as HTMLUListElement;
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const jsonEl = panel.querySelector('#cal-json') as HTMLTextAreaElement;
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const renderList = (errs?: number[]) => {
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list.innerHTML = points
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.map((p, i) => `<li>(${p.machine[0]}, ${p.machine[1]}) → px(${p.image[0].toFixed(0)}, ${p.image[1].toFixed(0)})${errs ? ` <small>err ${errs[i]!.toFixed(1)}px</small>` : ''}</li>`)
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.join('');
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};
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armBtn.addEventListener('click', () => {
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pendingMachine = [parseFloat(xEl.value), parseFloat(yEl.value)];
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if (Number.isNaN(pendingMachine[0]) || Number.isNaN(pendingMachine[1])) {
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pendingMachine = null;
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return;
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}
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overlay.classList.add('interactive');
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});
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overlay.addEventListener('click', (ev) => {
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if (!pendingMachine || !overlay.classList.contains('interactive')) return;
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const rect = overlay.getBoundingClientRect();
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// Map click to native image pixels: canvas backing store == displayed media box.
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const px: Vec2 = [
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((ev.clientX - rect.left) / rect.width) * overlay.width,
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((ev.clientY - rect.top) / rect.height) * overlay.height,
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];
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points.push({ machine: pendingMachine, image: px });
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pendingMachine = null;
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overlay.classList.remove('interactive');
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renderList();
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});
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(panel.querySelector('#cal-clear') as HTMLButtonElement).addEventListener('click', () => {
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points.length = 0;
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jsonEl.value = '';
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renderList();
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});
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(panel.querySelector('#cal-compute') as HTMLButtonElement).addEventListener('click', () => {
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if (points.length < 4) {
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jsonEl.value = 'Need at least 4 points.';
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return;
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}
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const machine = points.map((p) => p.machine);
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const image = points.map((p) => p.image);
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const H = estimateHomography(machine, image);
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const errs = residuals(H, machine, image);
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renderList(errs);
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jsonEl.value = JSON.stringify(
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{ imagePoints: image, machinePoints: machine, homography: H },
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null,
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2,
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);
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deps.onHomography(H, [...points]);
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});
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}
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