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script.js
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script.js
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// const video = document.getElementById('video')
var video_srcs = []
var names = []
var emotions = {}
var volume = {}
var list_of_emotions = ["angry", "disgusted", "fearful", "happy", "neutral", "sad", "surprised"]
var vid_duration = []
function addPersonClick() {
const title = document.getElementById("Title");
const AddPerson = document.getElementById("Add");
title.style.opacity = 0.5;
AddPerson.style.opacity = 0.5;
const list = document.getElementsByClassName("videoDiv");
for (let i = 0; i < list.length; i++) {
list[i].style.opacity = 0;
}
const anaylzeButton = document.getElementById("Analyze");
anaylzeButton.style.opacity = 0; // Hide analyze button
const form = document.getElementById("AddPerson");
form.style.opacity = 1;
form.style.pointerEvents = "all";
}
function submit () {
// Check if name is not empty
const name = document.getElementById("name").value;
const file = document.getElementById("fileName").files[0];
if (name.length === 0) {
alert("Name cannot be empty");
return;
}
if (file.size === 0) {
alert("File cannot be empty");
return;
}
// Check if file is an video
const fileType = file.type;
if (fileType !== "video/mp4" && fileType !== "video/webm") {
alert("File must be an video");
return;
}
// Focus on form and hide everything else.
const form = document.getElementById("AddPerson");
form.style.opacity = 0; // Hide form
form.style.pointerEvents = "none";
const title = document.getElementById("Title");
const AddPerson = document.getElementById("Add");
title.style.opacity = 1;
AddPerson.style.opacity = 1;
const list = document.getElementsByClassName("videoDiv");
for (let i = 0; i < list.length; i++) {
list[i].style.opacity = 1;
}
const anaylzeButton = document.getElementById("Analyze");
anaylzeButton.style.opacity = 1; // show analyze button
anaylzeButton.innerHTML = "Analyze!"
// Create <div> object to display Video and name
const div = document.createElement("div");
const index = document.getElementsByClassName("videoDiv").length;
div.className = "videoDiv";
div.style.borderRadius = "10px";
div.style.width = "30%";
div.style.height = "50px";
div.innerHTML = name;
div.style.textAlign = "center";
div.style.backgroundColor = "rgba(7, 230, 255, 0.8)";
div.style.top = 220 + (100*index) + "px";
div.style.position = "absolute";
div.style.paddingTop = "20px";
// Change position of Anaylze button
anaylzeButton.style.top = (220 + (100*(index+1))) + "px";
anaylzeButton.style.pointerEvents = "all";
// add file URL to video_srcs and name to names
video_srcs.push(URL.createObjectURL(file));
names.push(name)
// append <div> to body
document.body.appendChild(div);
}
function root_mean_square(ary) {
var sum_of_squares = ary.reduce(function(s,x) {return (s + x*x)}, 0);
return Math.sqrt(sum_of_squares / ary.length);
}
function record_buffer (audioBuffer, index, names, volume) {
const rawData = audioBuffer.getChannelData(0);
// get video duration
const duration = audioBuffer.duration;
vid_duration.push(duration);
// for every second, get audio
// Thanks https://dsp.stackexchange.com/questions/2951/loudness-of-pcm-stream/2953#2953
let samples = []
for (let i = 0; i < rawData.length; i++) {
samples.push(rawData[i]);
const second = Math.floor(i / (audioBuffer.sampleRate / 3));
if (second % 1 === 0) {
volume[names[index]][second] = root_mean_square(samples);
samples = []
}
}
}
function emotionDetection (i) {
const anaylzeButton = document.getElementById("Analyze");
const video = document.createElement("video");
video.src = video_srcs[i];
video.setAttribute("height" , 0.5 * document.body.clientHeight);
video.setAttribute("width" , 0.5 * document.body.clientWidth);
video.style.position = "absolute";
video.style.top = "300px";
video.autoplay = true;
document.body.append(video);
canvas = null;
interval = null;
video.addEventListener("play", () => {
// expression detection
anaylzeButton.innerHTML="Analyzing Video " + (i+1) + " of " + video_srcs.length + "..."
canvas = faceapi.createCanvasFromMedia(video)
canvas.style.position = "absolute";
canvas.style.top = "300px";
document.body.append(canvas)
const displaySize = { width: video.width, height: video.height };
faceapi.matchDimensions(canvas, displaySize)
interval = setInterval(async () => {
const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()).withFaceExpressions()
const resizedDetections = faceapi.resizeResults(detections, displaySize)
canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height)
faceapi.draw.drawDetections(canvas, resizedDetections)
faceapi.draw.drawFaceExpressions(canvas, resizedDetections)
// add emotion to emotions array
if (resizedDetections.length != 0 && names.length != 0) {
array = resizedDetections[0]["expressions"]
person_name = names[i]
emotion_highest = ""
emotion_value_highest = 0
for (let i = 0; i < 7; i++) {
if (array[list_of_emotions[i]] > emotion_value_highest) {
emotion_highest = list_of_emotions[i]
emotion_value_highest = array[list_of_emotions[i]]
}
}
emotions[person_name][video.currentTime] = emotion_highest
}
}, 100)
})
// delete video once done
video.addEventListener("ended", () => {
//remove video elements....
document.body.removeChild(video);
document.body.removeChild(canvas);
clearInterval(interval);
// setup audio anaylzer
window.AudioContext = window.AudioContext || window.webkitAudioContext;
const audioContext = new AudioContext();
const audio = (url, names, volume) => {
fetch(url)
.then(response => response.arrayBuffer())
.then(arrayBuffer => audioContext.decodeAudioData(arrayBuffer))
.then(audioBuffer => record_buffer(audioBuffer, i, names, volume))
.then(function() {
// go to the next video, if any. Else, show the Anaylsis.
if (i == video_srcs.length - 1) {
anaylzeButton.innerHTML="Analysis Done"
showAnalysis(document, video_srcs, volume, emotions, names)
} else {
emotionDetection(i+1);
}
})
};
anaylzeButton.innerHTML="Analyzing Audio..."
audio(video_srcs[i], names, volume)
})
}
function analyze () {
const anaylzeButton = document.getElementById("Analyze");
// set elements to anayzling mode
anaylzeButton.innerHTML="Loading models..."
anaylzeButton.style.top = "220px";
const list = document.getElementsByClassName("videoDiv");
const length = list.length;
for (let i = 0; i < length; i++) {
// delete <div> object
document.body.removeChild(list[0]);
}
// fill emotion array with empty values
for (let i = 0; i < names.length; i++) {
emotions[names[i]] = {}
}
// fill voluem array with empty values
for (let i = 0; i < names.length; i++) {
volume[names[i]] = {}
}
// start detection
Promise.all([
faceapi.nets.tinyFaceDetector.loadFromUri('/models'),
faceapi.nets.faceLandmark68Net.loadFromUri('/models'),
faceapi.nets.faceRecognitionNet.loadFromUri('/models'),
faceapi.nets.faceExpressionNet.loadFromUri('/models')
]).then(() => {
emotionDetection(0);
})
}