let videoInput;

let tf = "...........................";

let cnv;

let j = 0;

​

function setup() {

​

  // setup camera capture

  videoInput = createCapture(VIDEO);

  videoInput.size(1000, 800);

  videoInput.position(0, 0);

​

  // setup canvas

  cnv = createCanvas(1000, 800);

  cnv.position(0, 0);

​

  // setup tracker

  ctracker = new clm.tracker();

  ctracker.init(pModel);

  ctracker.start(videoInput.elt);

​

  // setup emotion classifier

  classifier = new emotionClassifier();

  classifier.init(emotionModel);

  emotionData = classifier.getBlank();

​

  tf = tf.split('');

​

}

​

​

function draw() {

​

  // get array of face marker positions [x, y] format

  positions = ctracker.getCurrentPosition();

  parameters = ctracker.getCurrentParameters();

​

  if (positions) {

​

    outputX = positions[62][0];

    outputY = positions[62][1];

    // for face size

    let minX = width;

    let maxX = 0;

    let minY = height;

    let maxY = 0;

​

    for (var i = 0; i < positions.length; i++) {

​

       // draw face landmarks

      stroke(0);

      fill(0);

      text(tf[j], positions[i][0], positions[i][1]);

      j++;

      if (j >= text.length) {

        j = 0;

      }

    }

​

    // draw nose position

    noStroke();

    fill(0, 255, 255);

    ellipse(outputX, outputY, 10, 10);

    pop();

​

​

  }

}

​

​