let classifier;

let label = '';

​

function modelReady() {

  console.log('Model loaded');

  classifier.classify(cam, gotResults);

}

​

function gotResults(error, results) {

  if (!error) {

    console.log(results);

    //console.log(results[0]);

    label = results[0].label;

  }

  classifier.classify(cam, gotResults);  // run again (loop)

}

​

function setup() {

  createCanvas(640, 480);  // sized to match the cam

​

  cam = createCapture(VIDEO);

  cam.hide();  

  classifier = ml5.imageClassifier('MobileNet', modelReady);

}

​

function draw() {

  image(cam, 0, 0);

  textAlign(CENTER, CENTER);

  textSize(48);

  fill(255, 0, 0);

  text(label, width/2, height/2);

}

​