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