web端实现基于face-api.js + facenet的人脸识别

要在web端实现基于face-api.js和facenet的人脸识别，你需要遵循以下步骤：

引入face-api.js库。
加载模型。
访问用户摄像头。
实时检测视频中的脸部。
将检测到的脸部与数据库中的面孔进行匹配。

以下是实现这些步骤的示例代码：




<!DOCTYPE html>
<html>
<head>
    <title>Face Recognition</title>
    <script src="https://cdn.jsdelivr.net/npm/face-api.js/dist/face-api.min.js"></script>
</head>
<body>
    <video id="videoElement" width="720" height="560" autoplay muted></video>
    <script>
        const video = document.getElementById('videoElement');
 
        Promise.all([
            faceapi.nets.tinyFaceDetector.loadFromUri('/models'),
            faceapi.nets.faceLandmark68Net.loadFromUri('/models'),
            faceapi.nets.faceRecognitionNet.loadFromUri('/models'),
            faceapi.loadLabeledImages('/labeled_images')
        ]).then(startVideo);
 
        function startVideo() {
            navigator.mediaDevices.getUserMedia({ video: {} })
                .then((stream) => {
                    video.srcObject = stream;
                }).catch(err => console.error(err));
        }
 
        setInterval(async () => {
            const displaySize = { width: video.width, height: video.height };
            faceapi.resizeCanvas(displaySize);
            const resized = true;
 
            const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()).withFaceLandmarks().withFaceDescriptors();
 
            const faceImages = detections.map(detection => {
                const img = new Image(detection.width, detection.height);
                img.src = detection.getImageData(resized ? displaySize : new faceapi.Point(detection.x, detection.y), resized ? displaySize : new faceapi.Rect(0, 0, detection.width, detection.height));
                return img;
            });
 
            const labeledFaceImages = await Promise.all(faceImages.map(async (img, i) => {
                const descriptors = await faceapi.computeFaceDescriptor(img);
                let label = 'Unknown';
                const bestMatch = await faceapi.findBestMatch(descriptors, ['Class1', 'Class2', ...]);
                if (bestMatch._

web端实现基于face-api.js + facenet的人脸识别

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