UkuLearnWebcam

let sora;

​

let video;

let handpose;

let hands;

​

// Font laden

function preload() {

  sora = loadFont('Sora-SemiBold.ttf');

}

​

function setup() {

  createCanvas(640, 480);

  video = createCapture(VIDEO);

  video.size(640, 480);

  video.hide();

  handpose = ml5.handpose(video, modelLoaded);

  textFont(sora);

}

​

function draw() {

  background(150, 100);

  //tint(112, 100, 150);

  image(video, 0, 0);

  if (hands && hands.length > 0) {

    text(hands.length, 20, 20);

    fill(255, 20, 147, );

    stroke(500);

    textSize(130);

    textAlign(CENTER, BOTTOM);

    // Finger tips: 4, 8, 12, 16, 20

    //text("N", hands[0].landmarks[20][0], hands[0].landmarks[20][1]);

    //text("O", hands[0].landmarks[16][0], hands[0].landmarks[16][1]);

    text(".", hands[0].landmarks[12][0], hands[0].landmarks[12][1]);

    //text("E", hands[0].landmarks[8][0], hands[0].landmarks[8][1]);

    //text("~", hands[0].landmarks[4][0], hands[0].landmarks[4][1]);

  }

}

​

// When the model is loaded

function modelLoaded() {

  console.log('Handpose loaded!');

  handpose.on('predict', gotHands);

}

​

// Listen to new 'predict' events

function gotHands(results) {

  hands = results;

}

​

​

// Listen to new 'predict' events

handpose.on('predict', results => {

  predictions = results;

});