|
| 1 | +const video = document.getElementById("video"); |
| 2 | + |
| 3 | +Promise.all([ |
| 4 | + faceapi.nets.ssdMobilenetv1.loadFromUri("/models"), |
| 5 | + faceapi.nets.faceRecognitionNet.loadFromUri("/models"), |
| 6 | + faceapi.nets.faceLandmark68Net.loadFromUri("/models"), |
| 7 | +]).then(startWebcam); |
| 8 | + |
| 9 | +function startWebcam() { |
| 10 | + navigator.mediaDevices |
| 11 | + .getUserMedia({ |
| 12 | + video: true, |
| 13 | + audio: false, |
| 14 | + }) |
| 15 | + .then((stream) => { |
| 16 | + video.srcObject = stream; |
| 17 | + }) |
| 18 | + .catch((error) => { |
| 19 | + console.error(error); |
| 20 | + }); |
| 21 | +} |
| 22 | + |
| 23 | +function getLabeledFaceDescriptions() { |
| 24 | + const labels = ["Felipe", "Messi", "Data"]; |
| 25 | + return Promise.all( |
| 26 | + labels.map(async (label) => { |
| 27 | + const descriptions = []; |
| 28 | + for (let i = 1; i <= 2; i++) { |
| 29 | + const img = await faceapi.fetchImage(`./labels/${label}/${i}.png`); |
| 30 | + const detections = await faceapi |
| 31 | + .detectSingleFace(img) |
| 32 | + .withFaceLandmarks() |
| 33 | + .withFaceDescriptor(); |
| 34 | + descriptions.push(detections.descriptor); |
| 35 | + } |
| 36 | + return new faceapi.LabeledFaceDescriptors(label, descriptions); |
| 37 | + }) |
| 38 | + ); |
| 39 | +} |
| 40 | + |
| 41 | +video.addEventListener("play", async () => { |
| 42 | + const labeledFaceDescriptors = await getLabeledFaceDescriptions(); |
| 43 | + const faceMatcher = new faceapi.FaceMatcher(labeledFaceDescriptors); |
| 44 | + |
| 45 | + const canvas = faceapi.createCanvasFromMedia(video); |
| 46 | + document.body.append(canvas); |
| 47 | + |
| 48 | + const displaySize = { width: video.width, height: video.height }; |
| 49 | + faceapi.matchDimensions(canvas, displaySize); |
| 50 | + |
| 51 | + setInterval(async () => { |
| 52 | + const detections = await faceapi |
| 53 | + .detectAllFaces(video) |
| 54 | + .withFaceLandmarks() |
| 55 | + .withFaceDescriptors(); |
| 56 | + |
| 57 | + const resizedDetections = faceapi.resizeResults(detections, displaySize); |
| 58 | + |
| 59 | + canvas.getContext("2d").clearRect(0, 0, canvas.width, canvas.height); |
| 60 | + |
| 61 | + const results = resizedDetections.map((d) => { |
| 62 | + return faceMatcher.findBestMatch(d.descriptor); |
| 63 | + }); |
| 64 | + results.forEach((result, i) => { |
| 65 | + const box = resizedDetections[i].detection.box; |
| 66 | + const drawBox = new faceapi.draw.DrawBox(box, { |
| 67 | + label: result, |
| 68 | + }); |
| 69 | + drawBox.draw(canvas); |
| 70 | + }); |
| 71 | + }, 100); |
| 72 | +}); |
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