const checkpoint =

  'https://storage.googleapis.com/tm-pro-a6966.appspot.com/eyeo-test-yining/model.json';

​

let soundClassifier;

let imageClassifier;

let video;  

let canvas;

let resultsP1;

let resultsP2;

​

function preload() {

  video = createCapture(VIDEO);

  //video.hide();

  video.size(320, 240);

  soundClassifier = ml5.soundClassifier(modelJson);

  imageClassifier = ml5.imageClassifier(checkpoint);

}

​

function setup() {

  noCanvas();

  //canvas = createCanvas(320, 240);

  resultsP1 = createP('...');

  resultsP2 = createP('...');

  //  Classify the current video frame.

  classifyImage();

  // Classify the sound from microphone in real time

  soundClassifier.classify(gotSoundResults);

}

​

// Classify the current frame.

function classifyImage() {

  imageClassifier.classify(video, gotImageResults);

}

​

// function draw() {

//   background(0);

//   translate(video.width, 0);

//   scale(-1.0, 1.0);

//   image(video, 0, 0);

// }

​

// Show the results

function gotImageResults(err, results) {

  resultsP1.html('Image Label: ' + results[0].label + ' Confidence: ' + results[0].confidence);

  classifyImage();

}

​

// A function to run when Sound Classifier get any errors and the results

function gotSoundResults(err, results) {

  resultsP2.html('Sound Label: ' + results[0].label + ' Confidence: ' + results[0].confidence);

}

​