https://github.com/anhnguyen1618/emotion-detector
Capture portrait and detect emotion
https://github.com/anhnguyen1618/emotion-detector
Last synced: 2 months ago
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Capture portrait and detect emotion
- Host: GitHub
- URL: https://github.com/anhnguyen1618/emotion-detector
- Owner: anhnguyen1618
- License: mit
- Created: 2017-06-11T18:55:19.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-06-11T19:24:13.000Z (almost 8 years ago)
- Last Synced: 2025-02-07T22:35:52.505Z (4 months ago)
- Language: JavaScript
- Homepage:
- Size: 124 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
- License: LICENSE
Awesome Lists containing this project
README
# Simple emotion detector by Anh Nguyen
Technologies
* [React](https://facebook.github.io/react/): JavaScript View library
* [Express](https://expressjs.com/): Simple Node.js web framework
* [Cognitive-services](https://azure.microsoft.com/en-us/services/cognitive-services//): Public API to recognize emotion by Microsoft
* [SASS](http://sass-lang.com/): CSS pre-processor
* And more...
### Usage
[**Live demo**](https://emo-detector.herokuapp.com/)
Install dependency:
```javascript
yarn
```
Start back-end server on port 8000:
```javascript
yarn start-backend
```
Start front-end server on port 8080:
```javascript
yarn start-front
```
Compile the distribution build:
```javascript
yarn build-front
```
### Features & instructions
* Capture image using webcam in the browser
* Save image on server and create published URL
* Fetch emotion from third-party api by providing newly created published URL of the image
* Display emotion
### Notes
* In order to create URL for image in localhost env, use [Ngrok](https://ngrok.com/) to point to port 8080 and provide that url to fetch emotion from third-party API
Thank you and happy coding!