├── public
├── robots.txt
├── demo.png
├── demo1.png
├── demo2.png
├── models
│ ├── face_expression_model-shard1
│ ├── face_landmark_68_model-shard1
│ ├── face_recognition_model-shard1
│ ├── face_recognition_model-shard2
│ ├── tiny_face_detector_model-shard1
│ ├── face_landmark_68_tiny_model-shard1
│ ├── tiny_face_detector_model-weights_manifest.json
│ ├── face_landmark_68_tiny_model-weights_manifest.json
│ ├── face_expression_model-weights_manifest.json
│ ├── face_landmark_68_model-weights_manifest.json
│ └── face_recognition_model-weights_manifest.json
├── manifest.json
├── index.html
└── main.js
├── src
├── Images
│ └── hero-bg.png
├── index.js
├── index.css
├── App.js
└── App.css
├── .gitignore
├── package.json
└── README.md
/public/robots.txt:
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1 | # https://www.robotstxt.org/robotstxt.html
2 | User-agent: *
3 | Disallow:
4 |
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/public/demo.png:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/demo.png
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/public/demo1.png:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/demo1.png
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/public/demo2.png:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/demo2.png
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/src/Images/hero-bg.png:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/src/Images/hero-bg.png
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/public/models/face_expression_model-shard1:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/models/face_expression_model-shard1
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/public/models/face_landmark_68_model-shard1:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/models/face_landmark_68_model-shard1
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/public/models/face_recognition_model-shard1:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/models/face_recognition_model-shard1
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/public/models/face_recognition_model-shard2:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/models/face_recognition_model-shard2
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/public/models/tiny_face_detector_model-shard1:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/models/tiny_face_detector_model-shard1
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/public/models/face_landmark_68_tiny_model-shard1:
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https://raw.githubusercontent.com/louiejancevski/FacialEmotionDetector/HEAD/public/models/face_landmark_68_tiny_model-shard1
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/src/index.js:
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1 | import React from 'react'
2 | import ReactDOM from 'react-dom'
3 | import './index.css'
4 | import App from './App'
5 |
6 | ReactDOM.render(
7 |
8 |
9 | ,
10 | document.getElementById('root')
11 | )
12 |
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/.gitignore:
--------------------------------------------------------------------------------
1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
2 |
3 | # dependencies
4 | /node_modules
5 | /.pnp
6 | .pnp.js
7 |
8 | # testing
9 | /coverage
10 |
11 | # production
12 | /build
13 |
14 | # misc
15 | .DS_Store
16 | .env.local
17 | .env.development.local
18 | .env.test.local
19 | .env.production.local
20 |
21 | npm-debug.log*
22 | yarn-debug.log*
23 | yarn-error.log*
24 |
--------------------------------------------------------------------------------
/src/index.css:
--------------------------------------------------------------------------------
1 | body {
2 | margin: 0;
3 | font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen',
4 | 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue',
5 | sans-serif;
6 | -webkit-font-smoothing: antialiased;
7 | -moz-osx-font-smoothing: grayscale;
8 | }
9 |
10 | code {
11 | font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New',
12 | monospace;
13 | }
14 |
--------------------------------------------------------------------------------
/public/manifest.json:
--------------------------------------------------------------------------------
1 | {
2 | "short_name": "Facial Emotion Detector",
3 | "name": "Facial Emotion Detector",
4 | "icons": [
5 | {
6 | "src": "favicon.ico",
7 | "sizes": "64x64 32x32 24x24 16x16",
8 | "type": "image/x-icon"
9 | }
10 | ],
11 | "start_url": ".",
12 | "display": "standalone",
13 | "theme_color": "#000000",
14 | "background_color": "#ffffff",
15 | "permissions": {
16 | "video-capture": {
17 | "description": "Required to capture video using getUserMedia()"
18 | }
19 | }
20 | }
21 |
22 |
--------------------------------------------------------------------------------
/src/App.js:
--------------------------------------------------------------------------------
1 | import React from 'react'
2 | import './App.css'
3 |
4 | function App() {
5 | return (
6 | <>
7 |
8 |
9 |
10 |
11 | 😐
12 |
13 | You look ...!
14 |
15 |
24 |
You are not being recorded, it all happens in your own browser!
25 |
26 | >
27 | )
28 | }
29 |
30 | export default App
31 |
--------------------------------------------------------------------------------
/package.json:
--------------------------------------------------------------------------------
1 | {
2 | "name": "facial-emotion-detector",
3 | "version": "0.1.0",
4 | "private": true,
5 | "dependencies": {
6 | "@testing-library/jest-dom": "^4.2.4",
7 | "@testing-library/react": "^9.5.0",
8 | "@testing-library/user-event": "^7.2.1",
9 | "gh-pages": "^3.1.0",
10 | "react": "^16.13.1",
11 | "react-dom": "^16.13.1",
12 | "react-scripts": "^3.4.2"
13 | },
14 | "homepage":"https://louiejancevski.github.io/FacialEmotionDetector",
15 | "scripts": {
16 | "start": "react-scripts start",
17 | "build": "react-scripts build",
18 | "test": "react-scripts test",
19 | "eject": "react-scripts eject",
20 | "deploy": "npm run build && gh-pages -d build "
21 | },
22 | "eslintConfig": {
23 | "extends": "react-app"
24 | },
25 | "browserslist": {
26 | "production": [
27 | ">0.2%",
28 | "not dead",
29 | "not op_mini all"
30 | ],
31 | "development": [
32 | "last 1 chrome version",
33 | "last 1 firefox version",
34 | "last 1 safari version"
35 | ]
36 | }
37 | }
38 |
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/src/App.css:
--------------------------------------------------------------------------------
1 | body {
2 | user-select: none;
3 | -moz-user-select: none;
4 | }
5 |
6 | .app {
7 | margin: 0;
8 | padding: 0;
9 | width: 100%;
10 | height: 100vh;
11 | justify-content: center;
12 | align-items: center;
13 | overflow: hidden;
14 | background-color: #16a085;
15 | }
16 |
17 | .overlay {
18 | background-image: url('./Images/hero-bg.png');
19 | position: absolute;
20 | width: 100%;
21 | height: 100%;
22 | opacity: 0.3;
23 | }
24 |
25 | .note {
26 | text-align: center;
27 | width: 100%;
28 | font-size: 12px;
29 | color: white;
30 | bottom: 0;
31 | position: absolute;
32 | margin-bottom: 31px;
33 | letter-spacing: 0.7px;
34 | }
35 | canvas {
36 | margin-top: 36px;
37 | top: 0;
38 | position: absolute;
39 | }
40 |
41 | .mockup {
42 | margin-top: 60px;
43 | position: relative;
44 | display: grid;
45 | max-height: 100%;
46 | align-items: center;
47 | justify-content: center;
48 | max-width: 100%;
49 | }
50 |
51 | ::-webkit-scrollbar {
52 | width: 0px;
53 | background: transparent;
54 | }
55 |
56 | .browser {
57 | display: block;
58 | border-radius: 8px;
59 | max-width: 100%;
60 | max-height: 100%;
61 | overflow: hidden;
62 | margin: 0 auto;
63 | box-shadow: 0 3px 6px rgba(0, 0, 0, 0.1), 0 10px 22px rgba(0, 0, 0, 0.2);
64 | background-color: #fff;
65 | }
66 |
67 | .browser {
68 | width: 100%;
69 | height: 441px;
70 | }
71 |
72 | .browserChrome {
73 | height: 12px;
74 | background: #e8e8e8;
75 | padding: 12px;
76 | }
77 |
78 | .browserActions {
79 | height: 12px;
80 | width: 12px;
81 | background: #ff5f56;
82 | box-shadow: 20px 0 0 #ffbd2e, 40px 0 0 #27c93f;
83 | border-radius: 50%;
84 | }
85 |
86 | #emoji {
87 | display: block;
88 | font-size: 80px;
89 | margin-bottom: 23px;
90 | }
91 |
92 | .text {
93 | margin-top: 30px;
94 | text-align: center;
95 | font-size: 19px;
96 | color: white;
97 | font-family: monospace;
98 | }
99 |
--------------------------------------------------------------------------------
/public/index.html:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
12 |
13 |
14 |
15 |
16 |
17 |
18 | Facial Emotion Detector
19 |
20 |
21 |
22 |
23 |
24 |
25 |
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/public/models/tiny_face_detector_model-weights_manifest.json:
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1 | [{"weights":[{"name":"conv0/filters","shape":[3,3,3,16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.009007044399485869,"min":-1.2069439495311063}},{"name":"conv0/bias","shape":[16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005263455241334205,"min":-0.9211046672334858}},{"name":"conv1/depthwise_filter","shape":[3,3,16,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004001977630690033,"min":-0.5042491814669441}},{"name":"conv1/pointwise_filter","shape":[1,1,16,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.013836609615999109,"min":-1.411334180831909}},{"name":"conv1/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0015159862590771096,"min":-0.30926119685173037}},{"name":"conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002666276225856706,"min":-0.317286870876948}},{"name":"conv2/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015265831292844286,"min":-1.6792414422128714}},{"name":"conv2/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0020280554598453,"min":-0.37113414915168985}},{"name":"conv3/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006100742489683862,"min":-0.8907084034938438}},{"name":"conv3/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.016276211832083907,"min":-2.0508026908425725}},{"name":"conv3/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.003394414279975143,"min":-0.7637432129944072}},{"name":"conv4/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006716050119961009,"min":-0.8059260143953211}},{"name":"conv4/pointwise_filter","shape":[1,1,128,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.021875603993733724,"min":-2.8875797271728514}},{"name":"conv4/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0041141652009066415,"min":-0.8187188749804216}},{"name":"conv5/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008423839597141042,"min":-0.9013508368940915}},{"name":"conv5/pointwise_filter","shape":[1,1,256,512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.030007277283014035,"min":-3.8709387695088107}},{"name":"conv5/bias","shape":[512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008402082966823203,"min":-1.4871686851277068}},{"name":"conv8/filters","shape":[1,1,512,25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.028336129469030042,"min":-4.675461362389957}},{"name":"conv8/bias","shape":[25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002268134028303857,"min":-0.41053225912299807}}],"paths":["tiny_face_detector_model-shard1"]}]
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/public/models/face_landmark_68_tiny_model-weights_manifest.json:
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1 | [{"weights":[{"name":"dense0/conv0/filters","shape":[3,3,3,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008194216092427571,"min":-0.9423348506291708}},{"name":"dense0/conv0/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006839508168837603,"min":-0.8412595047670252}},{"name":"dense0/conv1/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.009194007106855804,"min":-1.2779669878529567}},{"name":"dense0/conv1/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0036026100317637128,"min":-0.3170296827952067}},{"name":"dense0/conv1/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.000740380117706224,"min":-0.06367269012273527}},{"name":"dense0/conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":1,"min":0}},{"name":"dense0/conv2/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":1,"min":0}},{"name":"dense0/conv2/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0037702228508743585,"min":-0.6220867703942692}},{"name":"dense1/conv0/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0033707996209462483,"min":-0.421349952618281}},{"name":"dense1/conv0/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.014611541991140328,"min":-1.8556658328748217}},{"name":"dense1/conv0/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002832523046755323,"min":-0.30307996600281956}},{"name":"dense1/conv1/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006593170586754294,"min":-0.6329443763284123}},{"name":"dense1/conv1/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.012215249211180444,"min":-1.6001976466646382}},{"name":"dense1/conv1/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002384825547536214,"min":-0.3028728445370992}},{"name":"dense1/conv2/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005859645441466687,"min":-0.7617539073906693}},{"name":"dense1/conv2/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.013121426806730382,"min":-1.7845140457153321}},{"name":"dense1/conv2/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0032247188044529336,"min":-0.46435950784122243}},{"name":"dense2/conv0/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002659512618008782,"min":-0.32977956463308894}},{"name":"dense2/conv0/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015499923743453681,"min":-1.9839902391620712}},{"name":"dense2/conv0/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0032450980999890497,"min":-0.522460794098237}},{"name":"dense2/conv1/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005911862382701799,"min":-0.792189559282041}},{"name":"dense2/conv1/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.021025861478319356,"min":-2.2077154552235325}},{"name":"dense2/conv1/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00349616945958605,"min":-0.46149436866535865}},{"name":"dense2/conv2/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008104994250278847,"min":-1.013124281284856}},{"name":"dense2/conv2/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.029337059282789044,"min":-3.5791212325002633}},{"name":"dense2/conv2/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0038808938334969913,"min":-0.4230174278511721}},{"name":"fc/weights","shape":[128,136],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.014016061670639936,"min":-1.8921683255363912}},{"name":"fc/bias","shape":[136],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0029505149698724935,"min":0.088760145008564}}],"paths":["face_landmark_68_tiny_model-shard1"]}]
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/public/main.js:
--------------------------------------------------------------------------------
1 | const video = document.getElementById('video')
2 | const canvas = document.getElementById('canvas')
3 | const textStatus = document.getElementById('textStatus')
4 | const app = document.getElementById('app')
5 |
6 | //Start video
7 | startVideo = () => {
8 | // Older browsers might not implement mediaDevices at all, so we set an empty object first
9 | if (navigator.mediaDevices === undefined) {
10 | navigator.mediaDevices = {}
11 | }
12 |
13 | // Some browsers partially implement mediaDevices. We can't just assign an object
14 | // with getUserMedia as it would overwrite existing properties.
15 | // Here, we will just add the getUserMedia property if it's missing.
16 | if (navigator.mediaDevices.getUserMedia === undefined) {
17 | navigator.mediaDevices.getUserMedia = function (constraints) {
18 | // First get ahold of the legacy getUserMedia, if present
19 | var getUserMedia = navigator.webkitGetUserMedia || navigator.mozGetUserMedia
20 |
21 | // Some browsers just don't implement it - return a rejected promise with an error
22 | // to keep a consistent interface
23 | if (!getUserMedia) {
24 | return Promise.reject(new Error('getUserMedia is not implemented in this browser'))
25 | }
26 |
27 | // Otherwise, wrap the call to the old navigator.getUserMedia with a Promise
28 | return new Promise(function (resolve, reject) {
29 | getUserMedia.call(navigator, constraints, resolve, reject)
30 | })
31 | }
32 | }
33 |
34 | navigator.mediaDevices
35 | .getUserMedia({ video: true })
36 | .then(function (stream) {
37 | // Older browsers may not have srcObject
38 | if ('srcObject' in video) {
39 | video.srcObject = stream
40 | } else {
41 | // Avoid using this in new browsers, as it is going away.
42 | video.src = window.URL.createObjectURL(stream)
43 | }
44 | video.onloadedmetadata = function (e) {
45 | video.play()
46 | }
47 | })
48 | .catch(function (err) {
49 | console.log(err.name + ': ' + err.message)
50 | })
51 | }
52 |
53 | Promise.all([faceapi.nets.tinyFaceDetector.loadFromUri('./models'), faceapi.nets.faceLandmark68Net.loadFromUri('./models'), faceapi.nets.faceRecognitionNet.loadFromUri('./models'), faceapi.nets.faceExpressionNet.loadFromUri('./models')]).then(startVideo)
54 |
55 | let statusIcons = {
56 | default: { emoji: '😐', color: '#02c19c' },
57 | neutral: { emoji: '😐', color: '#54adad' },
58 | happy: { emoji: '😀', color: '#148f77' },
59 | sad: { emoji: '😥', color: '#767e7e' },
60 | angry: { emoji: '😠', color: '#b64518' },
61 | fearful: { emoji: '😨', color: '#90931d' },
62 | disgusted: { emoji: '🤢', color: '#1a8d1a' },
63 | surprised: { emoji: '😲', color: '#1230ce' },
64 | }
65 |
66 | video.addEventListener('play', () => {
67 | //Get dimensions from the actual video source
68 | const displaySize = { width: video.width, height: video.height }
69 |
70 | //Match those dimensions
71 | faceapi.matchDimensions(canvas, displaySize)
72 |
73 | setInterval(async () => {
74 | const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()).withFaceExpressions()
75 | const resizedDetections = faceapi.resizeResults(detections, displaySize)
76 | canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height)
77 | faceapi.draw.drawDetections(canvas, resizedDetections)
78 | faceapi.draw.drawFaceExpressions(canvas, resizedDetections)
79 |
80 | if (detections.length > 0) {
81 | //For each face detection
82 | detections.forEach((element) => {
83 | let status = ''
84 | let valueStatus = 0.0
85 | for (const [key, value] of Object.entries(element.expressions)) {
86 | if (value > valueStatus) {
87 | status = key
88 | valueStatus = value
89 | }
90 | }
91 | //Once we have the highest scored expression (status)
92 | emoji.innerHTML = statusIcons[status].emoji
93 |
94 | //Set the right emoji
95 | textStatus.innerHTML = status
96 |
97 | //Change background color
98 | app.style.backgroundColor = statusIcons[status].color
99 | })
100 | } else {
101 | //If not face was detected
102 |
103 | //Set default emoji
104 | emoji.innerHTML = statusIcons['default'].emoji
105 |
106 | //Change text
107 | textStatus.innerHTML = '...'
108 |
109 | //Change background color to default
110 | app.style.backgroundColor = statusIcons['default'].color
111 | }
112 | }, 100)
113 | })
114 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 |
2 | ## Facial Emotion Detector
3 | - Web app that detects your face emotions using AI and matches them with emojis.
4 | - Built using ReactJS and face-API.js
5 | - Face-API.js is a JavaScript API for face detection and face recognition in the browser implemented on top of the tensorflow.js core API.
6 | - Version 2.0
7 |
8 | ## URL / Live demo
9 | - [louiejancevski.github.io/FacialEmotionDetector](https://louiejancevski.github.io/FacialEmotionDetector/)
10 |
11 | ## About this project
12 | The main objective was very simple, to display emojis based on the facial expressions that we make in front of our camera.
13 |
14 | Once the app detects your face, it will do two things:
15 | - Change the background color.
16 | - Replace the default emoji with the one that it thinks is the best match to your expression.
17 |
18 | Face-API.js was used to faciliate this process. You can read more about it [here](https://justadudewhohacks.github.io/face-api.js/docs/).
19 |
20 | **Note**: You are not being recorded at any point, it all happens in your own browser!
21 |
22 | ## Taking a look inside
23 | I'm going to take Dwayne Johnson, The Rock, as an example to showcase the site.
24 |
25 | Very straightforward.
26 |
27 | Whenever he smiles, the emoji turns into a lauging emoji, and the background color changes to green.
28 |
29 | 
30 |
31 | On the other side,
32 |
33 | If he looks angry, the app will also catch that and display the right emoji and background color.
34 |
35 | 
36 |
37 | Same thing happens whenever his facial expression might look a bit neutral.
38 |
39 | The emoji gets changed, and the background color gets updated as well.
40 |
41 | 
42 |
43 | ## Detectable expressions
44 |
45 | - Default: 😐
46 | - Neutral: 😐
47 | - Happy: 😀
48 | - Sad: 😥
49 | - Angry: 😠
50 | - Fearful: 😨
51 | - Disgusted: 🤢
52 | - Surprised: 😲
53 |
54 | ## Browsers support
55 |
56 | | [
](http://godban.github.io/browsers-support-badges/)
Firefox | [
](http://godban.github.io/browsers-support-badges/)
Chrome | [
](http://godban.github.io/browsers-support-badges/)
Safari |
57 | | --------- | --------- | --------- |
58 | | last version| last version| last version
59 |
60 |
61 | ## Other notes
62 | For this app to properly work, make sure that:
63 | - Your room has good lighting
64 | - Your face is close enough to the computer
65 | - And that you give it a few seconds after your camera is loaded, so that it can accurately detect your face
66 |
67 | ## Available Scripts
68 |
69 | In the project directory, you can run:
70 |
71 | ### `npm start`
72 |
73 | Runs the app in the development mode.
74 | Open [http://localhost:3000](http://localhost:3000) to view it in the browser.
75 |
76 | The page will reload if you make edits.
77 | You will also see any lint errors in the console.
78 |
79 | ### `npm test`
80 |
81 | Launches the test runner in the interactive watch mode.
82 | See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
83 |
84 | ### `npm run build`
85 |
86 | Builds the app for production to the `build` folder.
87 | It correctly bundles React in production mode and optimizes the build for the best performance.
88 |
89 | The build is minified and the filenames include the hashes.
90 | Your app is ready to be deployed!
91 |
92 | See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
93 |
94 | ## Learn More
95 | This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
96 |
97 | You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
98 |
99 | To learn React, check out the [React documentation](https://reactjs.org/).
100 |
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