let img;

let label;

let confidence;

​

function preload() {

  img = loadImage('./beer.jpg');

  img.resize(400, 400);

  classifier = ml5.imageClassifier('MobileNet');

  label = 'Loading model...';

  confidence = 0.0;

}

​

function setup() {

  createCanvas(400, 400);

  classifier.classify(img, gotResult);

}

​

function draw() {

  image(img, 0, 0);

  fill(255, 255, 0);

  text(label, 10, 20);

  text(confidence, 10, 40);

}

​

function gotResult(error, results) {

  if (error) {

    console.error(error);

  }

  console.log(results);

  label = results[0].label;

  confidence = results[0].confidence;

}