let bob;

let video;

let guess="not loaded";

let poses=[];

​

function preload()

{

bodyPose=ml5.bodyPose("MoveNet", {flipped:true}); 

bob=loadImage("bob.png");

}

​

function showResults(result)

{

poses=result;

​

}

​

function loadComplete()

{

console.log("Classifier Loaded!"); 

}

​

function setup() {

  createCanvas(640, 480);

  video=createCapture(VIDEO, {flipped: true});

  video.hide();

  bodyPose.detectStart(video, showResults); 

  bob.resize(150,150);

}

​

function draw() {

  background(220);

  image(video, 0,0, width, height);

  if(poses.length>0)

  {

  let pose=poses[0];

  x= pose.nose.x;

  y= pose.nose.y;

  d=dist(pose.left_ear.x, pose.left_ear.y, pose.right_ear.x, pose.right_ear.y);

  rise=(pose.right_ear.y-pose.nose.y);

  run=(pose.right_ear.x-pose.nose.x);

  a=rise/run;

  a=atan(a);

  //a=(a*180)/PI;

  //bob.resize(d, d);

  imageMode(CENTER);

  scl=1.5;

  push();

  translate(x,y);

  rotate(a);

  image(bob, 0,0,d*scl ,d*scl);

  pop();

  imageMode(CORNER);

  //circle(x,y, 20);

  }

}

​

​