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//meta(not so imp) functions by vkc!
let gttsBtn = document.getElementById('gtts-btn');
let cameraBtn = document.getElementById('camera-btn');
let uploadBtn = document.querySelector('#upload-btn');
let textArea = document.querySelector('#textarea');
let line = document.createElement('p');
line.className = "line"
line.id = "last-line"
line.innerHTML = `Ready to roll !`
textArea.appendChild(line)
line.scrollIntoView({
behavior: "smooth",
block: "end",
inline: "nearest"
});
//open github repo
document.querySelector('#webcam-banner').addEventListener('click', function () {
window.open('https://github.com/vivekkushalch/Indian-Sign-Language-Recognition-System/', '_blank');
})
// test function
async function addTestLines(totalLines) {
for (let i = 1; i < totalLines + 1; i++) {
let line = document.createElement('p');
line.className = "line"
line.innerHTML = `Hello`
textArea.appendChild(line)
line.scrollIntoView({
behavior: "smooth",
block: "end",
inline: "nearest"
});
}
}
// addTestLines(10);
uploadBtn.addEventListener('click', function () {
uploadBtn.style.background = "#D4EC7E";
let text = 'Comming Soon!'
addNewTranslateLine(text)
tts(text)
uploadBtn.style.background = "#EAF1C5"
})
// adds new line in transcript box
async function addNewTranslateLine(text) {
let lastLine = textArea.lastElementChild;
try {
document.querySelector('#last-line').id = '';
} catch (err) {
console.log(err)
}
let newLine = document.createElement('p');
newLine.innerHTML = text;
newLine.className = "line";
newLine.id = 'last-line';
textArea.appendChild(newLine);
newLine.scrollIntoView({
behavior: "smooth",
block: "end",
inline: "nearest"
})
}
// start sign prediction
cameraBtn.addEventListener("click", function () {
if (cameraBtn.style.backgroundColor === 'rgb(212, 236, 126)') {
cameraBtn.style.background = "#EAF1C5"; //deactivate btn
alert('stopping... Press OK')
location.reload()
} else {
cameraBtn.style.background = "#D4EC7E";
document.getElementById("webcam-banner").style.display = "none"; // remove banner
document.getElementById("canvas").style.display = "block"; // display web cam
alert('starting.... Press OK')
init();
}
});
// text to speach btn colour change
gttsBtn.addEventListener("click", function () {
if (gttsBtn.style.backgroundColor === 'rgb(212, 236, 126)') {
gttsBtn.style.background = "#EAF1C5"; //dactivate btn
// alert('stopping... Press OK')
// location.reload()
} else {
gttsBtn.style.background = "#D4EC7E";
// alert('starting.... Press OK')
// init();
}
});
//text to speech
async function tts(text) {
if ('speechSynthesis' in window) {
// Speech Synthesis is supported 🎉
console.log('');
} else {
alert('Text to speech not available 😞');
location.reload();
}
let msg = new SpeechSynthesisUtterance(text);
window.speechSynthesis.speak(msg);
}
// delay function
const delay = ms => new Promise(res => setTimeout(res, ms));
/////////////////////////////////////
// tensorflow.js magic /////////////
////////////////////////////////////
let model, webcam, ctx, labelContainer, maxPredictions;
async function init() {
const modelURL = "https://vivekkushalch.github.io/Indian-Sign-Language-Recognition-System/model.json";
const metadataURL = "https://vivekkushalch.github.io/Indian-Sign-Language-Recognition-System/metadata.json";
// load the model and metadata
// Refer to tmImage.loadFromFiles() in the API to support files from a file picker
// Note: the pose library adds a tmPose object to your window (window.tmPose)
model = await tmPose.load(modelURL, metadataURL);
maxPredictions = model.getTotalClasses();
// Convenience function to setup a webcam
const size = 200;
const flip = true; // whether to flip the webcam
webcam = new tmPose.Webcam(size, size, flip); // width, height, flip
await webcam.setup(); // request access to the webcam
await webcam.play();
window.requestAnimationFrame(loop);
// append/get elements to the DOM
const canvas = document.getElementById("canvas");
canvas.width = size;
canvas.height = size;
ctx = canvas.getContext("2d");
// labelContainer = document.getElementById("textarea");
// for (let i = 0; i < maxPredictions; i++) { // and class labels
// let para = document.createElement("p");
// para.className = "line";
// labelContainer.appendChild(para);
// }
}
async function loop(timestamp) {
webcam.update(); // update the webcam frame
await predict();
window.requestAnimationFrame(loop);
}
async function predict() {
// Prediction #1: run input through posenet
// estimatePose can take in an image, video or canvas html element
const {
pose,
posenetOutput
} = await model.estimatePose(webcam.canvas);
// Prediction 2: run input through teachable machine classification model
const prediction = await model.predict(posenetOutput);
for (let i = 0; i < maxPredictions; i++) {
// if (prediction[i].probability.toFixed(2) == 1.00) {
// console.log(prediction[i].probability.toFixed(2), prediction[i].className)
// }
// const classPrediction = prediction[i].className + ": " + prediction[i].probability.toFixed(2);
if (prediction[i].probability.toFixed(2) == 1.00) {
if (document.querySelector('#last-line').innerHTML != prediction[i].className) {
await addNewTranslateLine(prediction[i].className);
if (gttsBtn.style.backgroundColor === 'rgb(212, 236, 126)') { //btn active
await tts(prediction[i].className)
// delay(0)
} else {
console.log('')
}
}
// labelContainer.childNodes[i].innerHTML = prediction[i].className;
}
}
// finally draw the poses
drawPose(pose);
}
function drawPose(pose) {
if (webcam.canvas) {
ctx.drawImage(webcam.canvas, 0, 0);
// draw the keypoints and skeleton
if (pose) {
const minPartConfidence = 0.5; //0.5
tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx);
tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx);
}
}
}
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