//

// 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

=== */

​

// Classifier Variable

let classifier;

// Model URL

let imageModelURL = 'https://teachablemachine.withgoogle.com/models/oigrwyX8Mn/' ;

​

​

let frankenstein;

let astronomen;

let winter;

​

// Video

let video;

let flippedVideo;

// To store the classification

let label = "";

​

// Load the model first

function preload() {

  frankenstein = loadImage("frankenstein.png");

  astronomen = loadImage("astronomen.png");

  winter = loadImage("winter.png");

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

}

​

function setup() {

  createCanvas(320, 260);

  // Create the video

  video = createCapture(VIDEO);

  video.size(320, 240);

  // video.hide();

​

  flippedVideo = ml5.flipImage(video)

  // Start classifying

  classifyVideo();

}

​

function draw() {

  background(0);

  // Draw the video

  // image(flippedVideo, 0, 0);

  // Draw the right image

  if(label == "A Year Without a Summer"){

    // image(winter, 0,0, 320, 240);

    text('Summer', width / 2, 180); 

  } else if(label == "Frankenstein"){

    // image(frankenstein,0,0, 320, 240);

    text('Frankie', width / 2, 180); 

  } else {

    // image(astronmen, 0, 0, 320, 240);

    text('Astro', width / 2, 180); 

  }

//    if(label == "A Year Without a Summer"){

//     image(winter, 0,0, 320, 240);

//   } else if(label == "Frankenstein"){

//     image(frankenstein,0,0, 320, 240);

//   } else {

//     image(astronomen, 0, 0, 320, 240);

//   }

  // Draw the label

  fill(255);

  textSize(16);

  textAlign(CENTER);

  text(label, width / 2, height - 4);

}

​

// Get a prediction for the current video frame

function classifyVideo() {

  flippedVideo = ml5.flipImage(video)

  classifier.classify(flippedVideo, gotResult);

}

​

// When we get a result

function gotResult(error, results) {

  // 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;

  // Classifiy again!

  classifyVideo();

}