/* exhibit.js — main viewer (v3). * Pipeline: camera video -> ArUco detect (maxHamming 0) -> TRACKING ENGINE -> Three.js * camera placed in world -> server-driven ghosts + building occlusion meshes. * * v3 ships two runtime-switchable tracking engines (HUD overlay, tap top third): * opencv (default) — joint multi-marker board solve (solve-cv.js). All detected * corners -> one solvePnP -> camera pose. Non-coplanar wall * crest removes planar ambiguity outright. * posit — the v2 per-marker POS-IT + fuseWorld path, kept intact for * on-table A/B until the new engine is confirmed. Delete later. */ import * as THREE from 'three'; import { createDetector, detectMarkers, quadArea } from './ar/detect.js'; import { PoseEstimator, ROT_MODES, setRotMode, getRotMode } from './ar/pose.js'; import { WorldFuser } from './ar/fuse.js'; import { CvBoardSolver, CV_AXIS_MODES, loadOpenCV, isCvReady } from './ar/solve-cv.js'; import { buildGhost } from './ghosts/loader.js'; import { ghostTransform } from './ghosts/behavior.js'; import { ExhibitNet, installErrorReporter } from './net.js'; import { renderMarkdown } from './md.js'; const $ = (s) => document.querySelector(s); /* ---------------- tracking engines ---------------- */ const ENGINES = ['opencv', 'posit']; let engine = localStorage.getItem('nbx.engine') || 'opencv'; if (!ENGINES.includes(engine)) engine = 'opencv'; let cvState = 'idle'; // idle | loading | ready | failed let cvNote = ''; // download % / init stage while loading function setEngine(e) { engine = e; localStorage.setItem('nbx.engine', e); } /* Camera-frame correction for the POSIT path (unchanged from v2; the opencv path * needs none — its conversion was validated synthetically and has its own * axis-mode toggle in solve-cv.js for marker-frame insurance). */ const CAM_CORR = { none: new THREE.Quaternion(), y180: new THREE.Quaternion().setFromAxisAngle(new THREE.Vector3(0, 1, 0), Math.PI), x180: new THREE.Quaternion().setFromAxisAngle(new THREE.Vector3(1, 0, 0), Math.PI), z180: new THREE.Quaternion().setFromAxisAngle(new THREE.Vector3(0, 0, 1), Math.PI), }; const CAM_MODES = ['none', 'y180', 'x180', 'z180']; let camMode = 'none'; /* Diagnostic: freeze all ghost motion (bob/sway/wander/path) so ghosts sit at their * static spawn position — tells tracking jitter apart from the float animation. * Defaults ON in dev; tap the tracking HUD chip to toggle. */ let freezeGhosts = false; let info = { mode: 'dev' }; let scene3, camera3, renderer, video, canvas2d, ctx2d; let detector, poseEst, fuser, cvSolver; let gradients = {}, modelManifest = null, characters = { defaults: {}, byId: {} }; let ghostHeight = 4; // cm, from scene.ghostHeightCm const activeGhosts = new Map(); // uid -> { rec, group } let tracking = { markers: 0, lastSeen: 0 }; const clockOffsetSamples = []; let clockOffset = 0; // serverNow - clientNow /* Horizontal FOV assumption for the focal estimate; override for a specific device * via localStorage 'nbx.hfovDeg' (shared by both engines). */ const HFOV_DEG = parseFloat(localStorage.getItem('nbx.hfovDeg')) || 60; // Debug pose readout (dev mode) const _dbgEuler = new THREE.Euler(); const _dbgV = new THREE.Vector3(); let dbgEl = null; function updateDbg(fusedQuat, markerCount, extra) { if (!dbgEl) return; const deg = r => (r * 180 / Math.PI).toFixed(0).padStart(4); _dbgEuler.setFromQuaternion(fusedQuat, 'YXZ'); const rawLine = `raw P${deg(_dbgEuler.x)} Y${deg(_dbgEuler.y)} R${deg(_dbgEuler.z)}`; const view = _dbgV.set(0, 0, -1).applyQuaternion(camera3.quaternion).clone(); const up = _dbgV.set(0, 1, 0).applyQuaternion(camera3.quaternion).clone(); const v3 = v => `(${v.x.toFixed(2)},${v.y.toFixed(2)},${v.z.toFixed(2)})`; const modeLine = engine === 'opencv' ? `axis ${cvSolver ? cvSolver.getAxisMode() : 'std'} cv:${cvState}${cvNote ? ' ' + cvNote : ''}` : `rot ${getRotMode()} cam ${camMode}`; dbgEl.textContent = `eng ${engine} ${freezeGhosts ? 'FROZEN' : 'moving'}\n` + `${modeLine}\n` + `markers ${markerCount}${extra}\n${rawLine}\nview ${v3(view)}\nup ${v3(up)}\n` + `pos ${v3(camera3.position)}`; } async function boot() { info = await (await fetch('/api/info')).json(); installErrorReporter(info.mode === 'dev'); await applyLanding(); const g = await (await fetch('/api/ghosts')).json(); gradients = g.gradients.gradients || g.gradients; modelManifest = await (await fetch('/api/models')).json(); characters = await (await fetch('/api/characters')).json(); $('#start').addEventListener('click', start, { once: true }); $('#detailsBtn').addEventListener('click', () => $('#details').classList.remove('hidden')); $('#backBtn').addEventListener('click', () => $('#details').classList.add('hidden')); } /* Paint the operator-authored landing page + details page. */ async function applyLanding() { let L; try { L = await (await fetch('/api/landing')).json(); } catch { return; } const set = (sel, txt) => { const el = $(sel); if (el) el.textContent = txt || ''; }; document.documentElement.style.setProperty('--accent', L.accent || '#51eaf1'); document.documentElement.style.setProperty('--text', L.textColor || '#e8ecff'); document.documentElement.style.setProperty('--ov', L.overlay != null ? L.overlay : 0.55); if (L.backgroundUrl) $('#startScreen').style.backgroundImage = `url("${L.backgroundUrl}")`; if (L.logoUrl) { const img = $('#logo'); img.src = L.logoUrl; img.alt = L.title || 'logo'; img.classList.remove('hidden'); $('#title').classList.add('hidden'); // logo art replaces the text title } else { set('#title', L.title); } set('#subtitle', L.subtitle); set('#start', L.startButton || 'Start'); set('#detailsBtn', L.detailsButton || 'About'); set('#detailsTitle', L.detailsTitle); $('#detailsBody').innerHTML = renderMarkdown(L.detailsMarkdown); set('#disc1', L.disclaimer); set('#disc2', L.disclaimer); if (!L.detailsMarkdown) $('#detailsBtn').classList.add('hidden'); document.title = L.title || 'Newbury Nights'; } /* Lazy-load the OpenCV.js WASM (~13MB, cached hard by the server). On failure the * posit engine takes over automatically — visitors always get a working exhibit. */ function ensureOpenCV() { if (cvState === 'ready' || cvState === 'loading') return; // 'failed' falls through: tapping back to opencv retries the load cvState = 'loading'; loadOpenCV('/vendor/opencv.js', (p) => { cvNote = typeof p === 'number' ? p + '%' : String(p); }).then(() => { cvState = 'ready'; cvNote = ''; if (engine === 'opencv') toast('Tracking engine ready'); }).catch((e) => { cvState = 'failed'; cvNote = ''; console.warn('opencv.js unavailable, falling back to posit', e); if (engine === 'opencv') { setEngine('posit'); toast('Using classic tracking'); } }); } async function start() { $('#startScreen').classList.add('hidden'); $('#hud').classList.remove('hidden'); $('#shutter').classList.remove('hidden'); $('#shutter').addEventListener('click', capturePhoto); // camera video = $('#cam'); const stream = await navigator.mediaDevices.getUserMedia({ video: { facingMode: 'environment', width: { ideal: 1280 }, height: { ideal: 720 } }, audio: false, }); video.srcObject = stream; await video.play(); // detection canvas canvas2d = document.createElement('canvas'); ctx2d = canvas2d.getContext('2d', { willReadFrequently: true }); // three.js renderer = new THREE.WebGLRenderer({ canvas: $('#gl'), alpha: true, antialias: true, preserveDrawingBuffer: true }); renderer.setPixelRatio(Math.min(devicePixelRatio, 2)); scene3 = new THREE.Scene(); camera3 = new THREE.PerspectiveCamera(60, innerWidth / innerHeight, 2, 5000); scene3.add(new THREE.AmbientLight(0xffffff, 1.2)); onResize(); addEventListener('resize', onResize); detector = createDetector(); fuser = new WorldFuser(); cvSolver = new CvBoardSolver(); ensureOpenCV(); // dev-mode pose readout + tap-to-cycle modes if (info.mode === 'dev') { freezeGhosts = true; // start static so tracking jitter is isolated from ghost float dbgEl = $('#dbg'); if (dbgEl) { dbgEl.style.display = 'block'; dbgEl.style.pointerEvents = 'auto'; /* tap zones (thirds): * top — cycle engine (opencv <-> posit) * middle — cycle engine mode (opencv: axis std/ymirror; posit: rot mode) * bottom — cycle posit camera correction (no-op for opencv) */ dbgEl.addEventListener('click', (ev) => { const r = dbgEl.getBoundingClientRect(); const frac = (ev.clientY - r.top) / r.height; if (frac < 0.34) { const next = ENGINES[(ENGINES.indexOf(engine) + 1) % ENGINES.length]; setEngine(next); if (next === 'opencv') ensureOpenCV(); } else if (frac < 0.67) { if (engine === 'opencv') { const i = CV_AXIS_MODES.indexOf(cvSolver.getAxisMode()); cvSolver.setAxisMode(CV_AXIS_MODES[(i + 1) % CV_AXIS_MODES.length]); } else { const i = ROT_MODES.indexOf(getRotMode()); setRotMode(ROT_MODES[(i + 1) % ROT_MODES.length]); } } else if (engine === 'posit') { const i = CAM_MODES.indexOf(camMode); camMode = CAM_MODES[(i + 1) % CAM_MODES.length]; } }); } // tap the tracking HUD chip to toggle ghost motion freeze const trk = $('#trk'); if (trk) { trk.style.pointerEvents = 'auto'; trk.addEventListener('click', () => { freezeGhosts = !freezeGhosts; }); } } // network const net = new ExhibitNet(); net.on('scene', (m) => { fuser.setScene(m.scene); cvSolver.setScene(m.scene); buildOcclusion(m.scene); ghostHeight = m.scene.ghostHeightCm || 4; for (const e of activeGhosts.values()) e.group.userData.setHeight(ghostHeight); }) .on('characters', async (m) => { characters = m.characters || characters; const recs = [...activeGhosts.values()].map(e => e.rec); for (const uid of [...activeGhosts.keys()]) removeGhost(uid); for (const rec of recs) await addGhost(rec); // rebuild with new visuals }) .on('active', async (m) => { for (const uid of [...activeGhosts.keys()]) removeGhost(uid); for (const rec of m.ghosts) await addGhost(rec); }) .on('spawn', (m) => addGhost(m.ghost)) .on('despawn', (m) => scheduleRemove(m.uid)) .on('pong', (m) => { const rtt = performance.now() - m.t; clockOffsetSamples.push(m.server + rtt / 2 - Date.now()); if (clockOffsetSamples.length > 5) clockOffsetSamples.shift(); clockOffset = clockOffsetSamples.reduce((a, b) => a + b, 0) / clockOffsetSamples.length; }); net.connect(); setInterval(() => { try { net.ws.send(JSON.stringify({ type: 'ping', t: performance.now() })); } catch {} }, 5000); requestAnimationFrame(loop); } function onResize() { renderer.setSize(innerWidth, innerHeight); camera3.aspect = innerWidth / innerHeight; camera3.updateProjectionMatrix(); } // ---------- occlusion: invisible depth-only building volumes ---------- const occlusionGroup = new THREE.Group(); function buildOcclusion(scene) { occlusionGroup.clear(); const mat = new THREE.MeshBasicMaterial({ colorWrite: false }); // depth-only for (const b of scene.buildings || []) { const geo = new THREE.BoxGeometry(b.size[0], b.size[1], b.size[2]); const mesh = new THREE.Mesh(geo, mat); mesh.position.set(b.position[0], b.position[1] + b.size[1] / 2, b.position[2]); mesh.rotation.y = THREE.MathUtils.degToRad(b.yawDeg || 0); mesh.renderOrder = -1; occlusionGroup.add(mesh); } if (!occlusionGroup.parent) scene3.add(occlusionGroup); } // ---------- ghosts ---------- async function addGhost(rec) { if (activeGhosts.has(rec.uid)) return; const group = await buildGhost(rec, gradients, modelManifest, characters); group.userData.setHeight(ghostHeight); scene3.add(group); activeGhosts.set(rec.uid, { rec, group }); toast(`${rec.name} appeared`); } function removeGhost(uid) { const e = activeGhosts.get(uid); if (!e) return; scene3.remove(e.group); activeGhosts.delete(uid); } function scheduleRemove(uid) { const e = activeGhosts.get(uid); if (!e) return removeGhost(uid); const until = e.rec.until ?? (Date.now() + clockOffset); const wait = Math.max(0, until - (Date.now() + clockOffset)) + (e.rec.crossfade || 3) * 1000; setTimeout(() => removeGhost(uid), Math.min(wait, 8000)); } // ---------- main loop ---------- const _tmp = { position: new THREE.Vector3(), rotationY: 0, opacity: 1 }; let frameCount = 0; function loop(t) { requestAnimationFrame(loop); if (video && video.readyState >= 2) { // downscale for detection speed; corner precision scales with resolution. const W = 960; const H = Math.round(W * video.videoHeight / video.videoWidth); if (canvas2d.width !== W) { canvas2d.width = W; canvas2d.height = H; } ctx2d.drawImage(video, 0, 0, W, H); const img = ctx2d.getImageData(0, 0, W, H); const focal = W / (2 * Math.tan(THREE.MathUtils.degToRad(HFOV_DEG) / 2)); if (!poseEst) poseEst = new PoseEstimator(focal); const markers = detectMarkers(detector, img, fuser.knownIds()); tracking.markers = markers.length; if (markers.length) { tracking.lastSeen = performance.now(); if (engine === 'opencv' && cvState === 'ready') { // v3 path: one joint solve over every visible crest const fused = cvSolver.solve(markers, W, H, focal); if (fused) { camera3.position.copy(fused.position); camera3.quaternion.copy(fused.quaternion); updateDbg(fused.quaternion, fused.markerCount, ` reproj ${fused.reprojPx.toFixed(1)}px`); } } else { // v2 path: per-marker POS-IT -> confidence-weighted fusion const estimates = markers.map(m => { const e = poseEst.estimate(m.id, m.corners, W / 2, H / 2, fuser.sizeFor(m.id)); return e && { markerId: m.id, position: e.position, quaternion: e.quaternion, area: quadArea(m.corners) }; }).filter(Boolean); const fused = fuser.fuse(estimates); if (fused) { camera3.position.copy(fused.position); camera3.quaternion.copy(fused.quaternion).multiply(CAM_CORR[camMode]); updateDbg(fused.quaternion, fused.markerCount, fused.markerCount > 1 ? ` spread ${fused.spread.toFixed(1)}cm` : ''); } } } } // ghosts: deterministic motion on synced clock const now = Date.now() + clockOffset; for (const { rec, group } of activeGhosts.values()) { ghostTransform(rec, now, _tmp); if (freezeGhosts) { group.position.set(rec.pos[0], rec.pos[1], rec.pos[2]); group.rotation.y = 0; } else { group.position.copy(_tmp.position); group.rotation.y = _tmp.rotationY; } group.userData.setOpacity(_tmp.opacity * 0.92); group.userData.tick(freezeGhosts ? 0 : t / 1000); } // HUD if ((frameCount++ & 15) === 0) { const stale = performance.now() - tracking.lastSeen > 1500; $('#trk').textContent = stale ? 'Point at a Newbury Crest' : `Tracking ${tracking.markers} crest${tracking.markers === 1 ? '' : 's'}`; $('#trk').classList.toggle('warn', stale || tracking.markers < 2); $('#cnt').textContent = `${activeGhosts.size} ghost${activeGhosts.size === 1 ? '' : 's'} nearby`; } renderer.render(scene3, camera3); } /* Shutter: composite the live camera frame with the rendered ghosts and save a PNG. */ async function capturePhoto() { try { const flash = $('#flash'); flash.classList.add('on'); setTimeout(() => flash.classList.remove('on'), 60); const vw = video.videoWidth, vh = video.videoHeight; const out = document.createElement('canvas'); out.width = vw; out.height = vh; const c = out.getContext('2d'); c.drawImage(video, 0, 0, vw, vh); const gl = $('#gl'); const scale = Math.max(vw / gl.width, vh / gl.height); const dw = gl.width * scale, dh = gl.height * scale; renderer.render(scene3, camera3); // ensure the buffer is current c.drawImage(gl, (vw - dw) / 2, (vh - dh) / 2, dw, dh); const stamp = new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19); const blob = await new Promise(r => out.toBlob(r, 'image/png')); const file = new File([blob], `newbury-${stamp}.png`, { type: 'image/png' }); if (navigator.canShare && navigator.canShare({ files: [file] })) { await navigator.share({ files: [file], title: 'Newbury Nights' }); toast('Photo ready to share'); } else { const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = file.name; a.click(); setTimeout(() => URL.revokeObjectURL(url), 10000); toast('Photo saved'); } } catch (e) { if (e && e.name === 'AbortError') return; // user dismissed the share sheet toast('Could not save photo'); console.warn('capture failed', e); } } let toastTimer = null; function toast(msg) { const el = $('#toast'); el.textContent = msg; el.classList.add('show'); clearTimeout(toastTimer); toastTimer = setTimeout(() => el.classList.remove('show'), 2500); } boot().catch(e => { console.error(e); alert('Failed to start: ' + e.message); });