// http://codingtra.in

// http://patreon.com/codingtrain

// Code for: https://youtu.be/cXgA1d_E-jY&

​

// Model URL

let imageModelURL = 'https://teachablemachine.withgoogle.com/models/c84SpbQo/';

​

// Classifier Variable

let classifier;

​

// Video

let video;

​

// To store the classification

let label = "";

​

// Load the model first

function preload() {

  classifier = ml5.imageClassifier(imageModelURL + 'model.json');

}

​

var bird;

var pipes = [];

​

function setup() {

  createCanvas(640, 480);

  bird = new Bird();

  pipes.push(new Pipe());

​

  video = createCapture(VIDEO);

  video.size(320, 240);

  video.hide();

​

  // Start classifying

  classifyVideo();

​

}

​

function draw() {

  background(0);

​

  for (var i = pipes.length - 1; i >= 0; i--) {

    pipes[i].show();

    pipes[i].update();

​

    if (pipes[i].hits(bird)) {

      console.log("HIT");

    }

​

    if (pipes[i].offscreen()) {

      pipes.splice(i, 1);

    }

  }

​

  bird.update();

  bird.show();

​

  if (frameCount % 75 == 0) {

    pipes.push(new Pipe());

  }

}

​

function keyPressed() {

  if (key == ' ') {

    bird.up();

    //console.log("SPACE");

  }

}

​

function classifyVideo() {

  classifier.classify(video, gotResult);

}

​

// When we get a result

function gotResult(error, results) {

  print('result')

  // If there is an error

  if (error) {

    console.error(error);

    return;

  }

  // The results are in an array ordered by confidence.

  // console.log(results[0]);

  label = results[0].label;

  if (label == 'jump') {

    bird.up();

  }

  // Classifiy again!

  setTimeout(classifyVideo, 200) 

}