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40 lines (37 loc) · 1.43 KB
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Copy pathscript.js
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40 lines (37 loc) · 1.43 KB
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const video = document.getElementById('video');
const constraints = {
audio: false,
video: {
width: 720, height: 560
}
}
Promise.all([
faceapi.nets.tinyFaceDetector.loadFromUri('./models'),
faceapi.nets.faceLandmark68Net.loadFromUri('./models'),
faceapi.nets.faceRecognitionNet.loadFromUri('./models'),
faceapi.nets.faceExpressionNet.loadFromUri('./models'),
// faceapi.nets.ageGenderNet.loadFromUri('./models'),
]).then(startVideo)
async function startVideo() {
try {
const stream = await navigator.mediaDevices.getUserMedia(constraints);
video.srcObject = stream;
}
catch (e) {
console.log(e);
}
}
video.addEventListener('play', () => {
const canvas = faceapi.createCanvasFromMedia(video);
document.body.append(canvas);
const displaySize = { width: 720, height: 560 };
faceapi.matchDimensions(canvas, displaySize);
setInterval(async () => {
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)
}, 100);
})