script.js

const video = document.getElementById('webcam');
const liveView = document.getElementById('liveView');
const demosSection = document.getElementById('demos');
const enableWebcamButton = document.getElementById('webcamButton');


const loadText = document.querySelector('.loading-text')
const bg = document.querySelector('.bg')

let load = 0;

let int = setInterval(blurring, 30)

function blurring() {
    load++

    if(load > 99){
        clearInterval(int)
    }
    
    loadText.innerText = `${load}%`
    loadText.style.opacity = scale(load, 0, 100, 1, 0)
    bg.style.filter = `blur(${scale(load, 0, 100, 30, 0)}px)`
}

const scale = (num, in_min, in_max, out_min, out_max) => {
    return (num- in_min) * (out_max - out_min) / (in_max - in_min) + out_min
}

// Check if webcam access is supported.
function getUserMediaSupported() {
  return !!(navigator.mediaDevices &&
    navigator.mediaDevices.getUserMedia);
}

// If webcam supported, add event listener to button for when user
// wants to activate it to call enableCam function which we will 
// define in the next step.
if (getUserMediaSupported()) {
  enableWebcamButton.addEventListener('click', enableCam);
} else {
  console.warn('getUserMedia() is not supported by your browser');
}

// Placeholder function for next step. Paste over this in the next step.
function enableCam(event) {
  // Only continue if the COCO-SSD has finished loading.
  if (!model) {
    return;
  }
  
  // Hide the button once clicked.
  event.target.classList.add('removed');  
  
  // getUsermedia parameters to force video but not audio.
  const constraints = {
    video: true
  };

  // Activate the webcam stream.
  navigator.mediaDevices.getUserMedia(constraints).then(function(stream) {
    video.srcObject = stream;
    video.addEventListener('loadeddata', predictWebcam);
  });
}

// Store the resulting model in the global scope of our app.
var model = undefined;

// Before we can use COCO-SSD class we must wait for it to finish
// loading. Machine Learning models can be large and take a moment 
// to get everything needed to run.
// Note: cocoSsd is an external object loaded from our index.html
// script tag import so ignore any warning in Glitch.
cocoSsd.load().then(function (loadedModel) {
  model = loadedModel;
  // Show demo section now model is ready to use.
  demosSection.classList.remove('invisible');
});

var children = [];

var points = 0;

function predictWebcam() {
  // Now let's start classifying a frame in the stream.
  model.detect(video).then(function (predictions) {
    // Remove any highlighting we did previous frame.
    for (let i = 0; i < children.length; i++) {
      liveView.removeChild(children[i]);
    }
    children.splice(0);
    
    // Now lets loop through predictions and draw them to the live view if
    // they have a high confidence score.
    for (let n = 0; n < predictions.length; n++) {
      // If we are over 66% sure we are sure we classified it right, draw it!
      if (predictions[n].score > 0.66) {
        const p = document.createElement('p');
        p.innerText = predictions[n].class  + ' - with ' 
            + Math.round(parseFloat(predictions[n].score) * 100) 
            + '% confidence.';
        p.style = 'margin-left: ' + (predictions[n].bbox[0]) + 'px; margin-top: '
            + (predictions[n].bbox[1] - 10) + 'px; width: ' 
            + (predictions[n].bbox[2]  - 10) + 'px; top: 0; left: 0;';

        const highlighter = document.createElement('div');
        highlighter.setAttribute('class', 'highlighter');
        highlighter.style = 'left: ' + (predictions[n].bbox[0]) + 'px; top: '
            + (predictions[n].bbox[1]) + 'px; width: ' 
            + (predictions[n].bbox[2]) + 'px; height: '
            + (predictions[n].bbox[3]) + 'px;';

        liveView.appendChild(highlighter);
        liveView.appendChild(p);
        children.push(highlighter);
        children.push(p);
        }
        points++;

        if(points > 500){
          window.location.href = "end_game.html";
      }
    }
    
    // Call this function again to keep predicting when the browser is ready.
    window.requestAnimationFrame(predictWebcam);
  });
}