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我正在尝试开发一个通过网络摄像头检测人脸并将其与保存的图像进行比较的网络应用程序。为此，我FaceAPI.js在浏览器中使用和 javascript

从这个YouTube 视频中汲取灵感

我还是个新手，这份工作是为了学校作业。希望有人能救救我，非常感谢。

HTML

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta http-equiv="X-UA-Compatible" content="IE=edge">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Prueba A</title>
</head>
<style>
  body {
      margin: 0;
      padding: 0;
      width: 100vw;
      height: 100vh;
      display: flex;
      justify-content: center;
      align-items: center;
  }
  canvas {
    position: absolute;
  }
</style>
<body>
  <video id="video" width="720" height="568" autoplay muted></video>

  <script defer src="script/face-api.min.js"></script>
  <script defer src="script/script.js"></script>
</body>
</html>

JavaScript

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/"),
    faceapi.nets.ssdMobilenetv1.loadFromUri('/models')
]).then(startVideo)


function startVideo() {
    navigator.getUserMedia(
        {video: {}},
        stream => video.srcObject = stream,
        err => console.error(err)
    )
}

video.addEventListener('play', async () => {
        
    const labeledFaceDescriptors = await loadLabeledImages()
    const faceMatcher = new faceapi.FaceMatcher(labeledFaceDescriptors, 0.6)
    setInterval(async () => {
        const displaySize = { width: video.width, height: video.height}
        const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()).withFaceLandmarks().withFaceExpressions()
        const resizedDetections = faceapi.resizeResults(detections, displaySize)
        const results = resizedDetections.map(d => faceMatcher.findBestMatch(d.descriptor))

        
    },100)
})

function loadLabeledImages() {
  const labels = ['Alan', 'Mich', 'John']
  return Promise.all(
    labels.map(async label => {
      const descriptions = []
      for (let i = 1; i <= 2; i++) {
        const img = await faceapi.fetchImage(`labeled_images/${label}/${i}.jpg`)
        const detections = await faceapi.detectSingleFace(img).withFaceLandmarks().withFaceDescriptor()
        descriptions.push(detections.descriptor)
      }

      return new faceapi.LabeledFaceDescriptors(label, descriptions)
    })
  )
}
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