let eyeball;

let x = 400;

let y = 270;

let a = 100;

let video;

let classifier;

​

function preload() {

  eye = loadImage('eye.png');

  eyeball = loadImage('eyeball-1.png')

  blood1 = loadImage('blood1.jpg')

  blood2 = loadImage('blood2.jpg')

  classifier = ml5.imageClassifier('https://teachablemachine.withgoogle.com/models/jmFCk_8u/');

}

​

function setup() {

  ellipseMode(CENTER);

  imageMode(CENTER);

  createCanvas(800, 500);

  background(255);

  video = createCapture(VIDEO);

  poseNet = ml5.poseNet(video, modelReady);

  poseNet.on('pose', gotPoses);

  classifyVideo();

​

  function modelReady() {

    console.log('model ready');

  }

​

}

​

function classifyVideo() {

  classifier.classify(video, gotResults);

}

​

function gotPoses(poses) {

  console.log(poses);

  x = poses[0].pose.keypoints[0].position.x

  y = poses[0].pose.keypoints[0].position.y

​

}

​

function gotResults(error, results) {

  if (error) {

    console.error(error);

    return

  }

​

}

​

function draw() {

  fill(255);

  ellipse(400, 250, 900, 500)

  image(blood1, 150, 260);

  image(blood2, 700, 250);

  image(eyeball, width-x, height-y, 300, 300);

​

  //image(video,x,y,800,500);

​

  fill(0);

  ellipse(width-x, height-y, a, a);

  image(eye, 400, 250);

}