ResearchPapers/FacialRecognition
ResearchPapers/FacialRecognition
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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.js
# testing
/coverage
# production
/build
# misc
.DS_Store
.env.local
.env.development.local
.env.test.local
.env.production.local
npm-debug.log*
yarn-debug.log*
yarn-error.log*

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### Face recognition using api!!
- Check Live Site [Here](https://tanmaymachkar.github.io/ResearchPaper/)

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{
"name": "dummy",
"homepage": "https://TanmayMachkar.github.io/ResearchPaper",
"version": "0.1.0",
"private": true,
"dependencies": {
"@testing-library/jest-dom": "^5.17.0",
"@testing-library/react": "^13.4.0",
"@testing-library/user-event": "^13.5.0",
"clarifai": "^2.9.1",
"gh-pages": "^6.1.1",
"particles-bg": "^2.5.5",
"react": "^18.2.0",
"react-dom": "^18.2.0",
"react-scripts": "5.0.1",
"react-tilt": "^1.0.2",
"tachyons": "^4.12.0",
"web-vitals": "^2.1.4"
},
"scripts": {
"start": "react-scripts start",
"build": "react-scripts build",
"test": "react-scripts test",
"eject": "react-scripts eject",
"predeploy": "npm run build",
"deploy": "gh-pages -d build"
},
"eslintConfig": {
"extends": [
"react-app",
"react-app/jest"
]
},
"browserslist": {
"production": [
">0.2%",
"not dead",
"not op_mini all"
],
"development": [
"last 1 chrome version",
"last 1 firefox version",
"last 1 safari version"
]
}
}

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link rel="icon" href="%PUBLIC_URL%/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="theme-color" content="#000000" />
<meta
name="description"
content="Web site created using create-react-app"
/>
<link rel="apple-touch-icon" href="%PUBLIC_URL%/logo192.png" />
<!--
manifest.json provides metadata used when your web app is installed on a
user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/
-->
<link rel="manifest" href="%PUBLIC_URL%/manifest.json" />
<!--
Notice the use of %PUBLIC_URL% in the tags above.
It will be replaced with the URL of the `public` folder during the build.
Only files inside the `public` folder can be referenced from the HTML.
Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will
work correctly both with client-side routing and a non-root public URL.
Learn how to configure a non-root public URL by running `npm run build`.
-->
<title>React App</title>
</head>
<body>
<noscript>You need to enable JavaScript to run this app.</noscript>
<div id="root"></div>
<!--
This HTML file is a template.
If you open it directly in the browser, you will see an empty page.
You can add webfonts, meta tags, or analytics to this file.
The build step will place the bundled scripts into the <body> tag.
To begin the development, run `npm start` or `yarn start`.
To create a production bundle, use `npm run build` or `yarn build`.
-->
</body>
</html>

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{
"short_name": "React App",
"name": "Create React App Sample",
"icons": [
{
"src": "favicon.ico",
"sizes": "64x64 32x32 24x24 16x16",
"type": "image/x-icon"
},
{
"src": "logo192.png",
"type": "image/png",
"sizes": "192x192"
},
{
"src": "logo512.png",
"type": "image/png",
"sizes": "512x512"
}
],
"start_url": ".",
"display": "standalone",
"theme_color": "#000000",
"background_color": "#ffffff"
}

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# https://www.robotstxt.org/robotstxt.html
User-agent: *
Disallow:

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.App {
text-align: center;
}
.center{
display:flex;
justify-content:center;
}
.App-logo {
height: 40vmin;
pointer-events: none;
}
@media (prefers-reduced-motion: no-preference) {
.App-logo {
animation: App-logo-spin infinite 20s linear;
}
}
.App-header {
background-color: #282c34;
min-height: 100vh;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
font-size: calc(10px + 2vmin);
color: white;
}
.App-link {
color: #61dafb;
}
@keyframes App-logo-spin {
from {
transform: rotate(0deg);
}
to {
transform: rotate(360deg);
}
}

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import React, {Component} from 'react';
import ParticlesBg from 'particles-bg';
import './App.css';
import Logo from './components/Logo/Logo';
import ImageLinkForm from './components/ImageLinkForm/ImageLinkForm';
import FaceRecognition from './components/FaceRecognition/FaceRecognition';
const returnClarifaiRequestOptions = (imageUrl) => {
const PAT = '9a79ac5267f54073853713833271f89d';
const USER_ID = 'tanmaymachkar';
const APP_ID = 'test';
const MODEL_ID = 'face-detection';
const MODEL_VERSION_ID = 'aa7f35c01e0642fda5cf400f543e7c40';
const IMAGE_URL = imageUrl;
const raw = JSON.stringify({
"user_app_id": {
"user_id": USER_ID,
"app_id": APP_ID
},
"inputs": [
{
"data": {
"image": {
"url": IMAGE_URL
}
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key ' + PAT
},
body: raw
};
return requestOptions;
}
class App extends Component{
constructor()
{
super();
this.state = {
input: '',
imageUrl: '',
box: {}
}
}
calculateFaceLocation = (data) => {
const clarifaiFace = data.outputs[0].data.regions[0].region_info.bounding_box;
const image = document.getElementById('inputimage');
const width = Number(image.width);
const height = Number(image.height);
return {
leftCol: clarifaiFace.left_col*width,
topRow: clarifaiFace.top_row*height,
rightCol: width - (clarifaiFace.right_col*width),
bottomRow: height - (clarifaiFace.bottom_row*height)
}
}
displayFaceBox = (box) => {
console.log(box);
this.setState({box: box})
}
onInputChange = (event) => {
this.setState({input: event.target.value});
}
onButtonSubmit = () => {
this.setState({imageUrl: this.state.input});
fetch("https://api.clarifai.com/v2/models/" + 'face-detection' + "/outputs", returnClarifaiRequestOptions(this.state.input))
.then(response => response.json())
.then(response => this.displayFaceBox(this.calculateFaceLocation(response)))
.catch(err => console.log(err))
}
render()
{
return (
<div className="App">
<Logo />
<ImageLinkForm
onInputChange = {this.onInputChange}
onButtonSubmit = {this.onButtonSubmit}
/>
<FaceRecognition box = {this.state.box} imageUrl = {this.state.imageUrl}/>
<ParticlesBg type="circle" bg={true}/>
</div>
);
}
}
export default App;

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import { render, screen } from '@testing-library/react';
import App from './App';
test('renders learn react link', () => {
render(<App />);
const linkElement = screen.getByText(/learn react/i);
expect(linkElement).toBeInTheDocument();
});

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.bounding-box
{
position: absolute;
box-shadow: 0 0 0 3px black inset;
display: flex;
flex-wrap: wrap;
justify-content: center;
cursor: pointer;
}

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import React from 'react';
import './FaceRecognition.css';
const FaceRecognition = ({imageUrl, box}) => {
return(
<div className = 'center ma'>
<div className = 'absolute mt2'>
<img id = 'inputimage' alt = '' src = {imageUrl} width = '500px' height = 'auto'/>
<div className = 'bounding-box' style = {{top: box.topRow, bottom: box.bottomRow, left: box.leftCol, right: box.rightCol}}></div>
</div>
</div>
);
}
export default FaceRecognition;

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.form{
width: 700px;
}
html, body {
height: 100%;
}
.wrap {
height: 100%;
display: flex;
align-items: center;
justify-content: center;
}
.button {
min-width: 300px;
min-height: 60px;
font-size: 22px;
text-transform: uppercase;
letter-spacing: 1.3px;
font-weight: 700;
color: darkgoldenrod;
background: #4FD1C5;
background: linear-gradient(90deg, rgba(129,230,217,1) 0%, rgba(79,209,197,1) 100%);
border: none;
border-radius: 1000px;
box-shadow: 12px 12px 24px rgba(79,209,197,.64);
transition: all 0.3s ease-in-out 0s;
cursor: pointer;
outline: none;
position: relative;
padding: 10px;
}
button::before {
content: '';
border-radius: 1000px;
min-width: calc(300px + 12px);
min-height: calc(60px + 12px);
border: 6px solid darkgreen;
box-shadow: 0 0 60px rgba(0,255,203,.64);
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
opacity: 0;
transition: all .3s ease-in-out 0s;
}
.button:hover, .button:focus {
color: #313133;
transform: translateY(-6px);
}
button:hover::before, button:focus::before {
opacity: 1;
}
button::after {
content: '';
width: 30px; height: 30px;
border-radius: 100%;
border: 6px solid darkcyan;
position: absolute;
z-index: -1;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
animation: ring 1.5s infinite;
}
button:hover::after, button:focus::after {
animation: none;
display: none;
}
@keyframes ring {
0% {
width: 30px;
height: 30px;
opacity: 1;
}
100% {
width: 300px;
height: 300px;
opacity: 0;
}
}
.meh{
display: flex;
}

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import React from 'react';
import './ImageLinkForm.css';
const ImageLinkForm = ({onInputChange, onButtonSubmit}) => {
return(
<div>
<p className = 'f3'>
{'Faces Will be Detected Here'}
</p>
<div className = 'center'>
<div className = 'pa4 br3 shadow-5'>
<input className = 'f4 pa2 w-70 center' type = 'text' onChange = {onInputChange}/>
<button
className = 'ma4 pointer button'
onClick = {onButtonSubmit}
>Detect</button>
</div>
</div>
</div>
);
}
export default ImageLinkForm;

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.Tilt{
background: linear-gradient(0.25turn, #3f87a6, #ebf8e1, #f69d3c);
}

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import React from 'react';
import { Tilt } from 'react-tilt';
import img from './img.png';
import './Logo.css';
const Logo = () => {
return(
<div className = 'pa2 ma4 mt0'>
<Tilt className = 'br2 shadow-2' style={{ height: 80, width: 80 }}>
<div className = ''>
<img alt = 'img' src = {img} />
</div>
</Tilt>
</div>
);
}
export default Logo;

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body {
margin: 0;
font-family: 'cursive',monospace;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
background: linear-gradient(0.25turn, #3f87a6, #ebf8e1, #f69d3c);
}
code {
font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New',
monospace;
}

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import React from 'react';
import ReactDOM from 'react-dom/client';
import './index.css';
import App from './App';
import reportWebVitals from './reportWebVitals';
import 'tachyons';
const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(
<React.StrictMode>
<App />
</React.StrictMode>
);
// If you want to start measuring performance in your app, pass a function
// to log results (for example: reportWebVitals(console.log))
// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
reportWebVitals();

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const reportWebVitals = onPerfEntry => {
if (onPerfEntry && onPerfEntry instanceof Function) {
import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {
getCLS(onPerfEntry);
getFID(onPerfEntry);
getFCP(onPerfEntry);
getLCP(onPerfEntry);
getTTFB(onPerfEntry);
});
}
};
export default reportWebVitals;

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// jest-dom adds custom jest matchers for asserting on DOM nodes.
// allows you to do things like:
// expect(element).toHaveTextContent(/react/i)
// learn more: https://github.com/testing-library/jest-dom
import '@testing-library/jest-dom';