| | <!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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| |
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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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| |
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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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| |
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| | transform: scaleX(-1);
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| | }
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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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| | }
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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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| |
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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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| |
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| | @keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
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| |
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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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| |
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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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| |
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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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| |
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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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| |
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| | <div id="status">Initializing system...</div>
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| |
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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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| |
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| |
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| | const MODEL_URL = 'https://cdn.jsdelivr.net/gh/cgarciagl/face-api.js@0.22.2/weights/';
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| |
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| | async function init() {
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| | try {
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| |
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| | await faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL);
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| |
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| |
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| | await faceapi.nets.faceExpressionNet.loadFromUri(MODEL_URL);
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| |
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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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| |
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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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| |
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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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| |
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| | btnCapture.addEventListener('click', async () => {
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| | if (video.paused) return;
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| |
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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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| |
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| | const displaySize = { width: video.videoWidth, height: video.videoHeight };
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| | faceapi.matchDimensions(canvas, displaySize);
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| |
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| |
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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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| |
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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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| |
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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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| |
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| |
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| | resizedDetections.forEach(result => {
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| | const expressions = result.expressions;
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| |
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| |
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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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| |
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| |
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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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| |
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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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| |
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| |
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| |
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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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| |
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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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| |
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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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| |
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| | init();
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| | </script>
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| | </body>
|
| | </html>
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| |
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