let video;

let label= '';

let osc

​

function preload(){

  classifier = 

    ml5.iamgeClassifier("MobileNet");

}

​

function setup() {

  createCanvas(400, 400);

  video = createCapture(VIDEO);

  vide.hide();

  classifier.classifyStart(video, gotResult);

  textSize(24)

}

​

function draw() {

  background(220);

  image(viedo,0,0)

  text(label,20,20)

}

​

function gotResult(result) {

  console.log(result)

  label = result[0].label;

  if (label == 'Eyeybrow') {

    osc.freq(200);

  }

}