script.js

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.ageGenderNet.loadFromUri('./models')
]).then(startVideo)

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

video.addEventListener('play', () => {
  const canvas = faceapi.createCanvasFromMedia(video)
  document.body.append(canvas)
  const displaySize = { width: video.width, height: video.height }
  faceapi.matchDimensions(canvas, displaySize)
  setInterval(async () => {
    const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()).withFaceLandmarks().withFaceExpressions().withAgeAndGender()
    const resizedDetections = faceapi.resizeResults(detections, displaySize)
    canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height)

    // console.log(resizedDetections, detections)


    resizedDetections.forEach(result => {
      const { age, gender, genderProbability } = result
      new faceapi.draw.DrawTextField(
        [
          `${faceapi.utils.round(age, 0)} years`,
          `${gender} (${faceapi.utils.round(genderProbability)})`
        ],
        result.detection.box.bottomRight
      ).draw(canvas)
    })


    faceapi.draw.drawDetections(canvas, resizedDetections)
    faceapi.draw.drawFaceLandmarks(canvas, resizedDetections)
    faceapi.draw.drawFaceExpressions(canvas, resizedDetections)
    faceapi.draw.drawFaceExpressions(canvas, resizedDetections)
  
  }, 100)
})