let picture;

​

function preload() {

  classifier = ml5.imageClassifier('MobileNet');

  picture = createImg('https://picsum.photos/600/848', imageReady);

}

​

function modelReady() {

  console.log('Model is ready!!!');

  mobilenet.predict(picture, gotResults);

}

​

function gotResults(error, results) {

  if (error) {

    console.error(error);

    text("404 Cannot Not Purchase for Person");

    stop();

  } else {

    console.log(results);

    let label = results[0].className;

    let prob = results[0].probability;

    // console.log(results);

    angleMode(DEGREES)

    let minSizeW = 13 / textWidth(label) * (width / 1.2);

    let minSizeH = 13 / textWidth(label) * height;

​

    //poster header

    textAlign(CENTER);

    textSize(100);

    text("hi person, buy this", width/2, 110);

​

    //top

    textSize(minSizeW);

    text(label, width/2, height/2 + (minSizeW/2));

  }

}

​

function setup() {

  createCanvas(windowWidth, windowHeight);

  stroke(0, 255, 0);

  strokeWeight(2);

  noFill();

  imageMode(CENTER);

}

​

function draw() {

  picture.hide();

  background(255);

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

  noLoop();

}

​

function imageReady() {

  image(picture, width / 2, height / 2);

}

​

function keyTyped() {

  if (key === "s") {

    saveFrames("BAG-Project", "png", 1, 1);

​

  }

}