//

// This software is released under the MIT License.

// https://opensource.org/licenses/MIT

​

/* ===

ml5 Example

Webcam Image Classification using a pre-trained customized model and p5.js

This example uses p5 preload function to create the classifier

=== */

​

// Global variable to store the classifier

let classifier;

​

// Label (start by showing listening)

let label = "listening";

​

// Teachable Machine model URL:

let soundModelURL = 'https://teachablemachine.withgoogle.com/models/wcvn1qtWl/model.json';

​

​

function preload() {

  // Load the model

  classifier = ml5.soundClassifier(soundModelURL);

}

​

function setup() {

  createCanvas(windowWidth, windowHeight);

  // Start classifying

  // The sound model will continuously listen to the microphone

  classifier.classify(gotResult);

}

​

function draw() {

  background(0);

  // Draw the label in the canvas

  fill(255);

  textSize(32);

  textAlign(CENTER, CENTER);

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

  textSize(50);

  text('Learn time telling in Japanese...',width/2, 100);

  fill(0, 102, 153);

  let emoji = 'what time is it?';

  if (label == 'ichiji' && confidence >=0.6) {

    emoji = '🕐';}

  else if (label == 'niji' && confidence >=0.5) {

    emoji = '🕑';}

  else if (label == 'sanji' && confidence >=0.7) {

    emoji = '🕒';}

  else if (label == 'yoji' && confidence >=0.3) {

    emoji = '🕓';}

  else if (label == 'goji' && confidence >=0.7) {

    emoji = '🕔';}

  else if (label == 'rokuji' && confidence >=0.6) {

    emoji = '🕕';}

  else if (label == 'shichiji' && confidence >=0.3) {

    emoji = '🕖';}

  else if (label == 'hachiji' && confidence >=0.5) {

    emoji = '🕗';}

  else if (label == 'kuji' && confidence >=0.5) {

    emoji = '🕘';}

  else if (label == 'juuji' && confidence >=0.4) {

    emoji = '🕙';}

  else if (label == 'juuichiji' && confidence >=0.5) {

    emoji = '🕚';}

  else if (label == 'juuniji' && confidence >=0.5) {

    emoji = '🕛';}

  else if (label == 'Background Noise' && confidence >=0.1) {

    emoji = 'what time is it?';}

  textSize(140);

  text(emoji, width/2, height/2);

}

​

​

// The model recognizing a sound will trigger this event

function gotResult(error, results) {

  if (error) {

    console.error(error);

    return;

  }

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

  console.log(results[0]);

  label = results[0].label;

  confidence = results[0].confidence;

}