let ball;

​

function modelReady(){

  console.log('Model is ready!');

  mobilenet.predict(ball,gotResults);

}

function gotResults(error,results){

  if(errror){

  console.log(error);

  }else {

  console.log(results);

  let label=results[0].className;

  let prob=results[0].probability;

  fill(0);

  textSize(64);

  text(label,10,height-100);

  createP(label);

  createP(prob);

  }  

}

function imageReady(){

image(ball,0,0,width,height);

}

function setup() {

  createCanvas(400, 400);

  background(0);

  ball=createImg('images/ball.jpg',imageReady);

  ball.hide();

  background(0);

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

}

​