* 👋 Hello! This is an ml5.js example made and shared with ❤️.

 * Learn more about the ml5.js project: https://ml5js.org/

 * ml5.js license and Code of Conduct: https://github.com/ml5js/ml5-next-gen/blob/main/LICENSE.md

 *

 * This example demonstrates tracking a particular face feature through ml5.faceMesh.

 */

​

let faceMesh;

let video;

let faces = [];

let options = { maxFaces: 1, refineLandmarks: false, flipHorizontal: false };

​

function preload() {

  // Load the faceMesh model

  faceMesh = ml5.faceMesh(options);

}

​

function setup() {

  createCanvas(640, 480);

  // Create the webcam video and hide it

  video = createCapture(VIDEO);

  video.size(640, 480);

  video.hide();

  // Start detecting faces from the webcam video

  faceMesh.detectStart(video, gotFaces);

}

​

function draw() {

  // Draw the webcam video

  image(video, 0, 0, width, height);

​

  if (faces.length > 0 && faces[0].lips) {

    fill(0, 255, 0);

    rect(

      faces[0].lips.x,

      faces[0].lips.y,

      faces[0].lips.width,

      faces[0].lips.height

    );

  }

​

  drawPartsKeypoints();

}

​

// Draw keypoints for specific face element positions

function drawPartsKeypoints() {

  // If there is at least one face

  if (faces.length > 0) {

    for (let i = 0; i < faces[0].lips.keypoints.length; i++) {

      let lips = faces[0].lips.keypoints[i];

      fill(0, 255, 0);

      circle(lips.x, lips.y, 5);

    }

  }

}

​

// Callback function for when faceMesh outputs data

function gotFaces(results) {

  // Save the output to the faces variable

  faces = results;

}

​