有三个js库可以是吸纳
face-api
tracking.js
tensorflow.js，注意由于是google的服务，可能你的网络无法直连，请确保你的网络能链接谷歌
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Face Detection</title>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/blazeface"></script>
</head>
<body>
<video id="video" width="720" height="560" autoplay></video>
<script>
const video = document.getElementById('video');
navigator.mediaDevices.getUserMedia({ video: {} })
.then(stream => {
video.srcObject = stream;
})
.catch(err => console.error(err));
async function run() {
const model = await blazeface.load();
video.addEventListener('play', async () => {
const canvas = document.createElement('canvas');
document.body.append(canvas);
canvas.width = video.width;
canvas.height = video.height;
const ctx = canvas.getContext('2d');
setInterval(async () => {
const predictions = await model.estimateFaces(video, false);
ctx.clearRect(0, 0, canvas.width, canvas.height);
predictions.forEach(prediction => {
ctx.beginPath();
ctx.lineWidth = "4";
ctx.strokeStyle = "blue";
ctx.rect(
prediction.topLeft[0],
prediction.topLeft[1],
prediction.bottomRight[0] - prediction.topLeft[0],
prediction.bottomRight[1] - prediction.topLeft[1]
);
ctx.stroke();
});
}, 100);
});
}
run();
</script>
</body>
</html>
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