Face Lab 2027 - AI Avatar Studio

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\n Initializing...\n

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Waiting for face...

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\n ℹ️\n Welcome\n

\n`;\n\n// ============================================================================\n// 3. CLIENT-SIDE LOGIC\n// ============================================================================\nconst CLIENT_SCRIPT = `\nimport * as THREE from 'three';\nimport { MindARThree } from 'mindar-face-three';\n\n// ============================================================================\n// TEXTURE CAPTURE SYSTEM (TRIANGLE PROJECTION)\n// ============================================================================\n\nclass TextureCaptureSystem {\n constructor(uvMapSize = 2048) {\n this.uvMapSize = uvMapSize;\n \n this.uvCanvas = document.createElement('canvas');\n this.uvCanvas.width = uvMapSize;\n this.uvCanvas.height = uvMapSize;\n this.uvCtx = this.uvCanvas.getContext('2d', { willReadFrequently: true });\n \n this.capturedAngles = new Set();\n this.angleResolution = 15;\n this.captureCount = 0;\n \n this.initializeCanvas();\n }\n\n initializeCanvas() {\n this.uvCtx.fillStyle = '#e0c6aa'; \n this.uvCtx.fillRect(0, 0, this.uvMapSize, this.uvMapSize);\n \n this.uvCtx.strokeStyle = 'rgba(0, 0, 0, 0.1)';\n this.uvCtx.lineWidth = 1;\n this.uvCtx.beginPath();\n for (let i = 0; i <= 10; i++) {\n const pos = (i / 10) * this.uvMapSize;\n this.uvCtx.moveTo(pos, 0);\n this.uvCtx.lineTo(pos, this.uvMapSize);\n this.uvCtx.moveTo(0, pos);\n this.uvCtx.lineTo(this.uvMapSize, pos);\n }\n this.uvCtx.stroke();\n }\n\n clear() {\n this.capturedAngles.clear();\n this.captureCount = 0;\n this.initializeCanvas();\n }\n\n quantizeAngle(yaw, pitch) {\n const qYaw = Math.round(yaw / this.angleResolution) * this.angleResolution;\n const qPitch = Math.round(pitch / this.angleResolution) * this.angleResolution;\n return qYaw + ',' + qPitch;\n }\n\n isAngleCaptured(yaw, pitch) {\n return this.capturedAngles.has(this.quantizeAngle(yaw, pitch));\n }\n\n captureFrame(videoElement, faceMesh, camera, yaw, pitch) {\n if (!videoElement || !faceMesh) return false;\n\n const angleKey = this.quantizeAngle(yaw, pitch);\n if (this.capturedAngles.has(angleKey)) return false;\n\n const geometry = faceMesh.geometry;\n const positions = geometry.attributes.position.array;\n const uvs = geometry.attributes.uv.array;\n const indices = geometry.index.array;\n\n camera.updateMatrixWorld(true);\n faceMesh.updateMatrixWorld(true);\n const viewMatrix = camera.matrixWorldInverse;\n const projectionMatrix = camera.projectionMatrix;\n const worldMatrix = faceMesh.matrixWorld;\n\n const vidW = videoElement.videoWidth;\n const vidH = videoElement.videoHeight;\n \n const videoCanvas = document.createElement('canvas');\n videoCanvas.width = vidW;\n videoCanvas.height = vidH;\n const videoCtx = videoCanvas.getContext('2d');\n \n videoCtx.translate(vidW, 0);\n videoCtx.scale(-1, 1);\n videoCtx.drawImage(videoElement, 0, 0, vidW, vidH);\n videoCtx.setTransform(1, 0, 0, 1, 0, 0);\n\n const vA = new THREE.Vector3(), vB = new THREE.Vector3(), vC = new THREE.Vector3();\n const uvA = {x:0, y:0}, uvB = {x:0, y:0}, uvC = {x:0, y:0};\n const scA = {x:0, y:0}, scB = {x:0, y:0}, scC = {x:0, y:0};\n\n this.uvCtx.globalAlpha = 0.7; \n this.uvCtx.globalCompositeOperation = 'source-over';\n\n let triangleCount = 0;\n\n for (let i = 0; i < indices.length; i += 3) {\n const idxA = indices[i];\n const idxB = indices[i+1];\n const idxC = indices[i+2];\n\n vA.set(positions[idxA*3], positions[idxA*3+1], positions[idxA*3+2]).applyMatrix4(worldMatrix);\n vB.set(positions[idxB*3], positions[idxB*3+1], positions[idxB*3+2]).applyMatrix4(worldMatrix);\n vC.set(positions[idxC*3], positions[idxC*3+1], positions[idxC*3+2]).applyMatrix4(worldMatrix);\n\n const ab = new THREE.Vector3().subVectors(vB, vA);\n const ac = new THREE.Vector3().subVectors(vC, vA);\n const normal = new THREE.Vector3().crossVectors(ab, ac).normalize();\n \n const viewDir = new THREE.Vector3(0, 0, 1).applyQuaternion(camera.quaternion);\n const facingRatio = normal.dot(viewDir);\n\n if (facingRatio < 0.2) continue;\n\n vA.applyMatrix4(viewMatrix).applyMatrix4(projectionMatrix);\n vB.applyMatrix4(viewMatrix).applyMatrix4(projectionMatrix);\n vC.applyMatrix4(viewMatrix).applyMatrix4(projectionMatrix);\n\n // NO FLIP needed here because video canvas is already flipped\n scA.x = ((vA.x + 1) / 2) * vidW; scA.y = ((-vA.y + 1) / 2) * vidH;\n scB.x = ((vB.x + 1) / 2) * vidW; scB.y = ((-vB.y + 1) / 2) * vidH;\n scC.x = ((vC.x + 1) / 2) * vidW; scC.y = ((-vC.y + 1) / 2) * vidH;\n\n uvA.x = uvs[idxA*2] * this.uvMapSize; uvA.y = (1 - uvs[idxA*2+1]) * this.uvMapSize;\n uvB.x = uvs[idxB*2] * this.uvMapSize; uvB.y = (1 - uvs[idxB*2+1]) * this.uvMapSize;\n uvC.x = uvs[idxC*2] * this.uvMapSize; uvC.y = (1 - uvs[idxC*2+1]) * this.uvMapSize;\n\n this.drawTexturedTriangle(\n this.uvCtx, videoCanvas,\n scA, scB, scC, \n uvA, uvB, uvC\n );\n \n triangleCount++;\n }\n\n this.capturedAngles.add(angleKey);\n this.captureCount++;\n console.log(\\`Captured \\${triangleCount} triangles at Yaw:\\${yaw.toFixed(0)}\\`);\n return true;\n }\n\n drawTexturedTriangle(ctx, img, p0, p1, p2, t0, t1, t2) {\n ctx.save();\n ctx.beginPath();\n ctx.moveTo(t0.x, t0.y);\n ctx.lineTo(t1.x, t1.y);\n ctx.lineTo(t2.x, t2.y);\n ctx.closePath();\n ctx.clip();\n\n const u0 = p0.x, v0 = p0.y;\n const u1 = p1.x, v1 = p1.y;\n const u2 = p2.x, v2 = p2.y;\n\n const denom = u0 * (v2 - v1) - u1 * (v2 - v0) + u2 * (v1 - v0);\n if (Math.abs(denom) < 0.1) { ctx.restore(); return; }\n\n const m11 = -(v0 * (t1.x - t2.x) - v1 * (t0.x - t2.x) + v2 * (t0.x - t1.x)) / denom;\n const m12 = (v0 * (t1.y - t2.y) - v1 * (t0.y - t2.y) + v2 * (t0.y - t1.y)) / denom;\n const m21 = (u0 * (t1.x - t2.x) - u1 * (t0.x - t2.x) + u2 * (t0.x - t1.x)) / denom;\n const m22 = -(u0 * (t1.y - t2.y) - u1 * (t0.y - t2.y) + u2 * (t0.y - t1.y)) / denom;\n const dx = (u0 * (v2 * t1.x - v1 * t2.x) + u1 * (v0 * t2.x - v2 * t0.x) + u2 * (v1 * t0.x - v0 * t1.x)) / denom;\n const dy = (u0 * (v2 * t1.y - v1 * t2.y) + u1 * (v0 * t2.y - v2 * t0.y) + u2 * (v1 * t0.y - v0 * t1.y)) / denom;\n\n ctx.transform(m11, m12, m21, m22, dx, dy);\n ctx.drawImage(img, 0, 0);\n ctx.restore();\n }\n\n getCoverage() {\n return this.capturedAngles.size / (5 * 3);\n }\n\n getAngleGrid() {\n const yawRange = [-45, -30, -15, 0, 15, 30, 45];\n const pitchRange = [-30, -15, 0, 15, 30];\n const grid = [];\n pitchRange.forEach(pitch => {\n yawRange.forEach(yaw => {\n grid.push({\n yaw, pitch,\n captured: this.capturedAngles.has(this.quantizeAngle(yaw, pitch))\n });\n });\n });\n return grid;\n }\n\n exportPNG() {\n return this.uvCanvas.toDataURL('image/png', 1.0);\n }\n\n getPreviewCanvas() {\n return this.uvCanvas;\n }\n}\n\n// ============================================================================\n// CONFIGURATION\n// ============================================================================\n\nconst CONFIG = {\n autoCapture: true,\n autoCaptureInterval: 250, \n minAngleChange: 5,\n uvMapSize: 2048\n};\n\n// ============================================================================\n// UI HELPERS\n// ============================================================================\n\nfunction showToast(message) {\n const toast = document.getElementById('toast');\n if (!toast) return;\n const msgEl = document.getElementById('toast-message');\n if(msgEl) msgEl.textContent = message;\n toast.classList.add('show');\n setTimeout(() => toast.classList.remove('show'), 2500);\n}\n\nfunction updateAngleGrid(currentYaw, currentPitch) {\n if (!captureSystem) return;\n const grid = captureSystem.getAngleGrid();\n const gridEl = document.getElementById('angle-grid');\n if (!gridEl) return;\n gridEl.innerHTML = '';\n grid.forEach(cell => {\n const div = document.createElement('div');\n div.className = 'angle-cell';\n if (cell.captured) { div.classList.add('captured'); div.textContent = '✓'; }\n const isCurrentYaw = Math.abs(cell.yaw - currentYaw) < CONFIG.minAngleChange + 5;\n const isCurrentPitch = Math.abs(cell.pitch - currentPitch) < CONFIG.minAngleChange + 5;\n if (isCurrentYaw && isCurrentPitch && !cell.captured) div.classList.add('current');\n gridEl.appendChild(div);\n });\n}\n\nfunction updateProgress() {\n if (!captureSystem) return;\n const coverage = captureSystem.getCoverage();\n const percent = Math.min(100, Math.round(coverage * 100));\n \n const percentEl = document.getElementById('progress-percent');\n if (percentEl) percentEl.textContent = percent + '%';\n \n const circle = document.getElementById('progress-circle');\n if (circle) {\n const circumference = 2 * Math.PI * 21;\n const offset = circumference - (coverage * circumference);\n circle.style.strokeDashoffset = offset;\n if (coverage >= 0.8) circle.style.stroke = '#22c55e';\n else if (coverage >= 0.5) circle.style.stroke = '#f59e0b';\n else circle.style.stroke = '#6366f1';\n }\n const countEl = document.getElementById('capture-count');\n if (countEl) countEl.textContent = captureSystem.captureCount + ' frames';\n}\n\nfunction updatePreview() {\n if (!captureSystem) return;\n const previewCanvas = document.getElementById('uv-preview-canvas');\n if (!previewCanvas) return;\n const previewCtx = previewCanvas.getContext('2d');\n const sourceCanvas = captureSystem.getPreviewCanvas();\n previewCtx.clearRect(0, 0, previewCanvas.width, previewCanvas.height);\n previewCtx.drawImage(sourceCanvas, 0, 0, previewCanvas.width, previewCanvas.height);\n}\n\n// ============================================================================\n// MAIN LOGIC\n// ============================================================================\n\nlet captureSystem = null;\nlet mindarThree = null;\nlet video = null;\n\n// Function to calculate pose from landmarks (ROBUST method)\n// This ignores local quaternion issues and uses raw vertex positions\nfunction estimatePoseFromLandmarks(face, camera) {\n const positions = face.geometry.attributes.position.array;\n \n // Transform key points to World Space\n const getVertexWorld = (index) => {\n const v = new THREE.Vector3(\n positions[index*3], \n positions[index*3+1], \n positions[index*3+2]\n );\n v.applyMatrix4(face.matrixWorld);\n return v;\n };\n \n // Landmarks (MediaPipe indices)\n const nose = getVertexWorld(1);\n const leftCheek = getVertexWorld(454); // Outer left\n const rightCheek = getVertexWorld(234); // Outer right\n const forehead = getVertexWorld(10);\n const chin = getVertexWorld(152);\n \n // Convert to Camera Space (relative to view)\n // This makes calculations work regardless of how user holds phone\n const viewMatrix = camera.matrixWorldInverse;\n nose.applyMatrix4(viewMatrix);\n leftCheek.applyMatrix4(viewMatrix);\n rightCheek.applyMatrix4(viewMatrix);\n forehead.applyMatrix4(viewMatrix);\n chin.applyMatrix4(viewMatrix);\n \n // 1. Calculate YAW (Horizontal rotation)\n // Compare nose X to center of cheeks\n const faceWidth = Math.abs(leftCheek.x - rightCheek.x);\n const faceCenterX = (leftCheek.x + rightCheek.x) / 2;\n const noseOffsetX = nose.x - faceCenterX;\n \n // Normalize: when looking 45deg, nose offset is approx 25% of width\n let yaw = (noseOffsetX / (faceWidth * 0.5)) * 90; \n yaw = -yaw; // Flip to match intuition (Turn right = positive)\n \n // 2. Calculate PITCH (Vertical rotation)\n // Compare nose Y to center of forehead/chin\n const faceHeight = Math.abs(forehead.y - chin.y);\n const faceCenterY = (forehead.y + chin.y) / 2;\n const noseOffsetY = nose.y - faceCenterY;\n \n // Normalize\n let pitch = (noseOffsetY / (faceHeight * 0.5)) * 90;\n pitch = -pitch; // Flip to match intuition (Look up = positive)\n \n // Clamp\n yaw = Math.max(-60, Math.min(60, yaw));\n pitch = Math.max(-45, Math.min(45, pitch));\n \n return { yaw, pitch };\n}\n\n// Project a 3D point to 2D Canvas space for drawing debug lines\nfunction projectPoint(v, camera, w, h) {\n const p = v.clone();\n p.project(camera);\n return {\n x: ((p.x + 1) / 2) * w,\n y: ((-p.y + 1) / 2) * h\n };\n}\n\nasync function initTextureMapper() {\n console.log('=== Initializing Texture Mapper (Triangle Mode + Geo Tracking) ===');\n \n const container = document.getElementById('container');\n const statusEl = document.getElementById('tracking-status');\n const statusDot = document.querySelector('.status-dot');\n const overlayCanvas = document.getElementById('overlay-canvas');\n const overlayCtx = overlayCanvas.getContext('2d');\n \n // Setup overlay size\n const resizeOverlay = () => {\n overlayCanvas.width = container.clientWidth;\n overlayCanvas.height = container.clientHeight;\n };\n window.addEventListener('resize', resizeOverlay);\n resizeOverlay();\n\n captureSystem = new TextureCaptureSystem(CONFIG.uvMapSize);\n \n try {\n mindarThree = new MindARThree({ container });\n const { renderer, scene, camera } = mindarThree;\n \n // Add face mesh\n const faceMesh = mindarThree.addFaceMesh();\n faceMesh.material = new THREE.MeshBasicMaterial({ \n color: 0xffffff, \n wireframe: true,\n transparent: true,\n opacity: 0.05\n });\n scene.add(faceMesh);\n \n // UI Bindings\n document.getElementById('export-texture').onclick = () => {\n if (!captureSystem) return;\n const link = document.createElement('a');\n link.download = 'face-texture.png';\n link.href = captureSystem.exportPNG();\n link.click();\n showToast('Downloaded PNG');\n };\n \n document.getElementById('clear-captures').onclick = () => {\n captureSystem.clear();\n updateAngleGrid(0, 0);\n updatePreview();\n updateProgress();\n showToast('Cleared');\n };\n \n const autoToggle = document.getElementById('toggle-auto-capture');\n autoToggle.onclick = () => {\n CONFIG.autoCapture = !CONFIG.autoCapture;\n autoToggle.classList.toggle('active', CONFIG.autoCapture);\n showToast(CONFIG.autoCapture ? 'Auto: ON' : 'Auto: OFF');\n };\n\n await mindarThree.start();\n video = container.querySelector('video');\n \n // STATE\n let lastCaptureTime = 0;\n let lastYaw = -999;\n let lastPitch = -999;\n let currentYaw = 0;\n let currentPitch = 0;\n \n statusEl.textContent = 'Ready';\n statusDot.classList.remove('inactive');\n\n // MAIN LOOP\n renderer.setAnimationLoop(() => {\n const now = performance.now();\n const face = mindarThree.faceMeshes[0];\n \n // Clear debug canvas\n overlayCtx.clearRect(0, 0, overlayCanvas.width, overlayCanvas.height);\n \n if (face && face.visible) {\n statusEl.textContent = 'Tracking';\n statusDot.classList.remove('inactive');\n \n // 1. UPDATE MATRICES\n face.updateMatrixWorld(true);\n camera.updateMatrixWorld(true);\n \n // 2. CALCULATE POSE (Robust Method)\n const pose = estimatePoseFromLandmarks(face, camera);\n currentYaw = pose.yaw;\n currentPitch = pose.pitch;\n \n // 3. DRAW DEBUG VISUALS (Red/Green Crosshair on Nose)\n const positions = face.geometry.attributes.position.array;\n const noseLocal = new THREE.Vector3(positions[1*3], positions[1*3+1], positions[1*3+2]);\n noseLocal.applyMatrix4(face.matrixWorld);\n const noseScreen = projectPoint(noseLocal, camera, overlayCanvas.width, overlayCanvas.height);\n \n // Draw crosshair\n overlayCtx.lineWidth = 3;\n // Yaw indicator (Green horizontal)\n overlayCtx.strokeStyle = '#22c55e';\n overlayCtx.beginPath();\n overlayCtx.moveTo(noseScreen.x - (currentYaw * 2), noseScreen.y); // Exaggerate movement\n overlayCtx.lineTo(noseScreen.x + (currentYaw * 2), noseScreen.y);\n overlayCtx.stroke();\n \n // Pitch indicator (Red vertical)\n overlayCtx.strokeStyle = '#ef4444';\n overlayCtx.beginPath();\n overlayCtx.moveTo(noseScreen.x, noseScreen.y - (currentPitch * 2));\n overlayCtx.lineTo(noseScreen.x, noseScreen.y + (currentPitch * 2));\n overlayCtx.stroke();\n \n // Center dot\n overlayCtx.fillStyle = '#fff';\n overlayCtx.beginPath();\n overlayCtx.arc(noseScreen.x, noseScreen.y, 3, 0, Math.PI*2);\n overlayCtx.fill();\n\n // 4. UPDATE UI\n const pill = document.getElementById('angle-pill');\n if(pill) pill.textContent = \\`Y:\\${currentYaw.toFixed(0)}° P:\\${currentPitch.toFixed(0)}°\\`;\n \n // 5. CAPTURE LOGIC\n if (CONFIG.autoCapture && now - lastCaptureTime > CONFIG.autoCaptureInterval) {\n const angleChanged = (Math.abs(currentYaw - lastYaw) + Math.abs(currentPitch - lastPitch)) > CONFIG.minAngleChange;\n const newAngle = !captureSystem.isAngleCaptured(currentYaw, currentPitch);\n \n if ((angleChanged || newAngle) && video && video.readyState >= 2) {\n const success = captureSystem.captureFrame(video, face, camera, currentYaw, currentPitch);\n if (success) {\n lastYaw = currentYaw;\n lastPitch = currentPitch;\n updateAngleGrid(currentYaw, currentPitch);\n updateProgress();\n updatePreview();\n \n // Flash feedback\n overlayCtx.fillStyle = 'rgba(255, 255, 255, 0.3)';\n overlayCtx.fillRect(0,0, overlayCanvas.width, overlayCanvas.height);\n }\n }\n lastCaptureTime = now;\n }\n \n } else {\n statusEl.textContent = 'Searching...';\n statusDot.classList.add('inactive');\n }\n \n renderer.render(scene, camera);\n });\n \n } catch (err) {\n console.error(err);\n statusEl.textContent = 'Error';\n }\n}\n\nif (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', initTextureMapper);\n} else {\n initTextureMapper();\n}\n`;\n\n// ============================================================================\n// 4. SERVER HANDLER\n// ============================================================================\n\nexport default async function handler(req: Request): Promise {\n const html = `\n\n\n Face Texture Mapper (Fixed Tracking)\n \n \n \n \n \n \n \n\n \n\n\n ${UI_HTML}\n \n\n`;\n\n return new Response(html, {\n headers: {\n \"Content-Type\": \"text/html; charset=utf-8\",\n \"Cache-Control\": \"no-cache\",\n },\n });\n}",[165],"db972c02-e9eb-11f0-9212-42dde27851f2",["D",1767585965871],"// @val.town/facelab\n// Main entry point - exports all modules\n\nexport * from \"./types.ts\";\nexport * from \"./constants.ts\";\nexport * from \"./config.ts\";\nexport * from \"./rendering.ts\";\nexport * from \"./teeth-renderer.ts\";\nexport * from \"./shaders.ts\";\nexport * from \"./wizard.ts\";\nexport * from \"./ui-bindings.ts\";\nexport * from \"./parallax.ts\";\nexport { initFaceLab } from \"./main.ts\";\nexport { FACELAB_STYLES, injectStyles } from \"./styles.ts\";\nexport { FACELAB_HTML, renderApp } from \"./html-template.ts\";\n\n// Convenience function to bootstrap the entire app\nexport async function bootstrap(container: HTMLElement): Promise {\n const { injectStyles } = await import(\"./styles.ts\");\n const { renderApp } = await import(\"./html-template.ts\");\n const { initFaceLab } = await import(\"./main.ts\");\n\n injectStyles();\n renderApp(container);\n await initFaceLab();\n}",[172],"e5d582a2-e9ed-11f0-9af6-42dde27851f2",["D",1767586842088],"export const TEXTURE_MAPPER_HTML = `\n

\n \n

Texture Mapper

\n FaceMesh UV\n

\n \n Initializing...\n

-- FPS

Yaw: 0° Pitch: 0°

\n\n

\n \n

Coverage

\n Captures: 0\n

\n\n

UV Texture Preview

\n\n

\n \n\n

\n \n How to Use\n

Position your face in the camera view
Slowly turn your head left and right
Tilt your head up and down
The grid shows captured angles
Export when coverage reaches 80%+

\n\n

Angle Coverage

\n \n

\n\n

Capture Settings

\n \n

\n Auto Capture\n

\n\n

\n Show UV Overlay\n

\n\n

\n Overlay Opacity\n 0.50\n

\n \n

\n\n

\n Min Angle Change (°)\n 5\n

\n \n

\n\n

Output Settings

\n \n

\n Texture Size\n 2048px\n

\n \n

\n\n

\n Blend Quality\n 0.95\n

\n \n

\n\n

Developer

\n Show Debug Info\n

\n\n

\n \n \n \n

\n\n

\n`;",[178],"db967ca8-e9eb-11f0-9212-42dde27851f2",["D",1767585965871],"// @val.town/facelab-constants\nimport type { FaceLabConfig, LandmarkIndices } from \"./types.ts\";\n\nexport const STORAGE_KEY = \"facelab-2027-config\";\n\nexport const DEFAULT_CONFIG: FaceLabConfig = {\n performance: \"High\",\n devView: false,\n videoHidden: false,\n lerpFactor: 0.7,\n renderMode: \"Cel-Shaded\",\n skinColor: \"#fff5e6\",\n outlineColor: \"#000000\",\n outlineWidth: 0.006,\n eyeStyle: \"Cartoon\",\n eyeColor: \"#3498db\",\n pupilSize: 0.45,\n eyeSize: 0.855,\n showTopTeeth: true,\n topTeethWidth: 1.0005,\n topTeethHeight: 0.7185,\n topTeethOffsetX: -0.07,\n topTeethOffsetY: 0.1,\n topTeethDepth: 1.0,\n showBottomTeeth: true,\n bottomTeethWidth: 1.0005,\n bottomTeethHeight: 0.5,\n bottomTeethOffsetX: 0.014,\n bottomTeethOffsetY: 0.1,\n bottomTeethDepth: 0.221,\n teethScale: 0.744,\n teethAnchorBlend: 0.79,\n showTongue: true,\n tongueColor: \"#d13d69\",\n tongueDepth: 0.187,\n lipOpacity: 0.095,\n eyelashOpacity: 1.0,\n eyebrowOpacity: 0,\n ambientIntensity: 1.982,\n lightIntensity: 2.445,\n lightColor: \"#ffffff\",\n lightX: 5,\n lightY: 2,\n lightZ: 5,\n isoZoom: 2.5,\n frameDelay: 1,\n showDelayedVideo: true,\n};\n\nexport const LANDMARKS: LandmarkIndices = {\n LIPS_OUTER: [\n 61,\n 146,\n 91,\n 181,\n 84,\n 17,\n 314,\n 405,\n 321,\n 375,\n 291,\n 409,\n 270,\n 269,\n 267,\n 0,\n 37,\n 39,\n 40,\n 185,\n 61,\n ],\n LIPS_INNER: [\n 78,\n 95,\n 88,\n 178,\n 87,\n 14,\n 317,\n 402,\n 318,\n 324,\n 308,\n 415,\n 310,\n 311,\n 312,\n 13,\n 82,\n 81,\n 80,\n 191,\n 78,\n ],\n LEFT_EYE: [\n 33,\n 7,\n 163,\n 144,\n 145,\n 153,\n 154,\n 155,\n 133,\n 173,\n 157,\n 158,\n 159,\n 160,\n 161,\n 246,\n 33,\n ],\n LEFT_EYE_LOOP: [\n 33,\n 246,\n 161,\n 160,\n 159,\n 158,\n 157,\n 173,\n 133,\n 155,\n 154,\n 153,\n 145,\n 144,\n 163,\n 7,\n 33,\n ],\n LEFT_LID: [33, 246, 161, 160, 159, 158, 157, 173],\n LEFT_BROW: [70, 63, 105, 66, 107, 55, 65, 52, 53, 46],\n LEFT_EYE_OUTER: 33,\n LEFT_EYE_INNER: 133,\n RIGHT_EYE: [\n 362,\n 382,\n 381,\n 380,\n 374,\n 373,\n 390,\n 249,\n 263,\n 466,\n 388,\n 387,\n 386,\n 385,\n 384,\n 398,\n 362,\n ],\n RIGHT_EYE_LOOP: [\n 362,\n 398,\n 384,\n 385,\n 386,\n 387,\n 388,\n 466,\n 263,\n 249,\n 390,\n 373,\n 374,\n 380,\n 381,\n 382,\n 362,\n ],\n RIGHT_LID: [263, 466, 388, 387, 386, 385, 384, 398],\n RIGHT_BROW: [300, 293, 334, 296, 336, 285, 295, 282, 283, 276],\n RIGHT_EYE_OUTER: 263,\n RIGHT_EYE_INNER: 362,\n NOSE_TIP: 1,\n CHIN: 152,\n L_CHEEK: 234,\n R_CHEEK: 454,\n FACE_TOP: 10,\n MOUTH_LEFT: 61,\n MOUTH_RIGHT: 291,\n MOUTH_TOP: 13,\n MOUTH_BOTTOM: 14,\n};\n\nexport const TEETH_SVG =\n ``;\n\nexport function getActiveIndices(): Set {\n const indices = new Set();\n Object.values(LANDMARKS).forEach((v) => {\n if (Array.isArray(v)) {\n v.forEach((i) => indices.add(i));\n } else if (typeof v === \"number\") {\n indices.add(v);\n }\n });\n return indices;\n}",[183],"db965188-e9eb-11f0-9212-42dde27851f2",["D",1767585965871],"// @val.town/facelab-config\nimport type { FaceLabConfig } from \"./types.ts\";\nimport { DEFAULT_CONFIG, STORAGE_KEY } from \"./constants.ts\";\n\nexport function loadConfig(): FaceLabConfig {\n try {\n const saved = localStorage.getItem(STORAGE_KEY);\n if (saved) {\n return { ...DEFAULT_CONFIG, ...JSON.parse(saved) };\n }\n } catch (e) {\n console.warn(\"Load config failed:\", e);\n }\n return { ...DEFAULT_CONFIG };\n}\n\nexport function saveConfig(config: FaceLabConfig): boolean {\n try {\n localStorage.setItem(STORAGE_KEY, JSON.stringify(config));\n return true;\n } catch (e) {\n console.error(\"Failed to save config:\", e);\n return false;\n }\n}\n\nexport function resetConfig(): void {\n localStorage.removeItem(STORAGE_KEY);\n}\n\nexport function exportConfig(config: FaceLabConfig): void {\n const dataStr = JSON.stringify(config, null, 2);\n const blob = new Blob([dataStr], { type: \"application/json\" 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History