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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Expression Recognition</title>
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<style>
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body {
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margin: 0;
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padding: 0;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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height: 100vh;
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background-color: #1a1a1a;
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font-family: 'Segoe UI', sans-serif;
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color: white;
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}
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.video-container {
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position: relative;
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width: 640px;
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height: 480px;
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background: #000;
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border-radius: 12px;
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overflow: hidden;
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box-shadow: 0 8px 32px rgba(0,0,0,0.5);
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}
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video {
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width: 100%;
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height: 100%;
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object-fit: cover;
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transform: scaleX(-1);
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}
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canvas {
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position: absolute;
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top: 0;
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left: 0;
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}
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#loader {
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position: absolute;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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background: rgba(0,0,0,0.9);
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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z-index: 10;
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}
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.spinner {
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width: 40px;
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height: 40px;
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border: 4px solid #f3f3f3;
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border-top: 4px solid #9b59b6;
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border-radius: 50%;
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animation: spin 1s linear infinite;
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margin-bottom: 15px;
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}
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@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
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.controls { margin-top: 20px; display: flex; gap: 15px; }
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button { padding: 12px 30px; font-size: 16px; border: none; border-radius: 50px; cursor: pointer; font-weight: 600; transition: transform 0.1s; }
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button:active { transform: scale(0.95); }
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#btnCapture { background: linear-gradient(135deg, #28a745, #218838); color: white; }
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#btnCapture:disabled { background: #555; cursor: not-allowed; }
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#btnRetake { background: linear-gradient(135deg, #dc3545, #c82333); color: white; display: none; }
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#status { margin-top: 15px; color: #ccc; font-size: 14px; }
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</style>
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<script src="https://cdn.jsdelivr.net/npm/face-api.js@0.22.2/dist/face-api.min.js"></script>
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</head>
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<body>
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<div class="video-container">
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<video id="video" autoplay muted playsinline></video>
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<canvas id="canvas"></canvas>
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<div id="loader">
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<div class="spinner"></div>
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<div id="loadingText">Loading Expression Models...</div>
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</div>
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</div>
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<div class="controls">
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<button id="btnCapture" disabled>Wait...</button>
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<button id="btnRetake">Retake</button>
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</div>
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<div id="status">Initializing system...</div>
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<script>
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const video = document.getElementById('video');
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const canvas = document.getElementById('canvas');
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const btnCapture = document.getElementById('btnCapture');
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const btnRetake = document.getElementById('btnRetake');
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const statusText = document.getElementById('status');
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const loader = document.getElementById('loader');
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const MODEL_URL = 'https://cdn.jsdelivr.net/gh/cgarciagl/face-api.js@0.22.2/weights/';
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async function init() {
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try {
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await faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL);
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await faceapi.nets.faceExpressionNet.loadFromUri(MODEL_URL);
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startCamera();
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} catch (error) {
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alert("Error loading models: " + error);
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}
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}
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function startCamera() {
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navigator.mediaDevices.getUserMedia({ video: { width: 640, height: 480 } })
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.then(stream => { video.srcObject = stream; })
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.catch(err => { console.error(err); });
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}
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video.addEventListener('play', () => {
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const displaySize = { width: video.videoWidth, height: video.videoHeight };
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faceapi.matchDimensions(canvas, displaySize);
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loader.style.display = 'none';
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btnCapture.disabled = false;
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btnCapture.innerText = "Capture Expression";
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statusText.innerText = "Ready. Show me an emotion!";
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});
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btnCapture.addEventListener('click', async () => {
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if (video.paused) return;
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video.pause();
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btnCapture.style.display = 'none';
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btnRetake.style.display = 'inline-block';
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statusText.innerText = "Analyzing Expressions...";
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const displaySize = { width: video.videoWidth, height: video.videoHeight };
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faceapi.matchDimensions(canvas, displaySize);
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const detections = await faceapi.detectAllFaces(video, new faceapi.SsdMobilenetv1Options({ minConfidence: 0.5 }))
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.withFaceExpressions();
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const resizedDetections = faceapi.resizeResults(detections, displaySize);
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const ctx = canvas.getContext('2d');
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ctx.clearRect(0, 0, canvas.width, canvas.height);
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ctx.save();
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ctx.scale(-1, 1);
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ctx.translate(-canvas.width, 0);
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faceapi.draw.drawDetections(canvas, resizedDetections);
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ctx.restore();
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resizedDetections.forEach(result => {
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const expressions = result.expressions;
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const sorted = Object.entries(expressions).sort((a, b) => b[1] - a[1]);
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const topEmotion = sorted[0];
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const box = result.detection.box;
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const mirroredX = canvas.width - box.x - box.width;
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const mirroredPos = { x: mirroredX, y: box.bottomLeft.y };
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new faceapi.draw.DrawTextField(
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[`${topEmotion[0]} (${Math.round(topEmotion[1] * 100)}%)`],
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mirroredPos
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).draw(canvas);
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const minConfidence = 0.1;
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faceapi.draw.drawFaceExpressions(canvas, resizedDetections, minConfidence, mirroredPos);
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});
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if (detections.length === 0) statusText.innerText = "No face detected.";
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else statusText.innerText = `Analysis Done. Found ${detections.length} face(s).`;
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});
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btnRetake.addEventListener('click', () => {
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canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height);
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video.play();
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btnCapture.style.display = 'inline-block';
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btnRetake.style.display = 'none';
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statusText.innerText = "Ready.";
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});
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init();
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</script>
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</body>
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</html>
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