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script.js
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44 lines (38 loc) · 1.56 KB
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const video = document.getElementById('video')
Promise.all([
faceapi.nets.tinyFaceDetector.loadFromUri('/models'),
faceapi.nets.faceLandmark68Net.loadFromUri('/models'),
faceapi.nets.faceRecognitionNet.loadFromUri('/models'),
faceapi.nets.faceExpressionNet.loadFromUri('/models')
]).then(startVideo)
function startVideo() {
navigator.mediaDevices.getUserMedia({ video: {} })
.then(stream => {
video.srcObject = stream;
video.onloadedmetadata = () => {
video.play().catch(err => console.log("Error to play the video:", err));
};
})
.catch(err => console.error("Error on camera:", err));
}
video.addEventListener('playing', () => { // Replacing 'play' for 'playing'
console.log("Video playing");
const canvas = faceapi.createCanvasFromMedia(video);
document.body.append(canvas);
const displaySize = { width: video.width, height: video.height };
faceapi.matchDimensions(canvas, displaySize);
setInterval(async () => {
try {
const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions())
.withFaceLandmarks()
.withFaceExpressions();
const resizedDetections = faceapi.resizeResults(detections, displaySize);
canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height);
faceapi.draw.drawDetections(canvas, resizedDetections);
faceapi.draw.drawFaceLandmarks(canvas, resizedDetections);
faceapi.draw.drawFaceExpressions(canvas, resizedDetections);
} catch (err) {
console.error("Error on face detection:", err);
}
}, 100);
});