https://github.com/justinshenk/deepemotion

Flask app for emotion detection in video
https://github.com/justinshenk/deepemotion

deep-learning emotion-detection facial-expression-recognition video

Last synced: 9 months ago
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Flask app for emotion detection in video

• Host: GitHub
• URL: https://github.com/justinshenk/deepemotion
• Owner: JustinShenk
• Created: 2018-09-25T14:44:39.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-09-20T13:31:17.000Z (almost 7 years ago)
• Last Synced: 2025-03-26T03:51:16.596Z (over 1 year ago)
• Topics: deep-learning, emotion-detection, facial-expression-recognition, video
• Language: JavaScript
• Homepage: http://www.deepemotion.io
• Size: 15 MB
• Stars: 14
• Watchers: 2
• Forks: 8
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# DeepEmotion

DeepEmotion is a web app for detecting emotions in video frames. It runs on Flask + Nginx + [Peltarion](https://peltarion.com/) API and uses [FER](https://github.com/justinshenk/fer) for video facial recognition.

![video-demo example](video-demo_mid.gif)

## Installation

Instructions for installing Nginx and Gunicorn for Flask are available on [Digital Ocean](https://www.digitalocean.com/community/tutorials/how-to-serve-flask-applications-with-gunicorn-and-nginx-on-ubuntu-18-04).

Install with `python setup.py install`, which creates a `config.cfg` file in the root directory. To connect with Peltarion API, add your key to `config.cfg`:

```

EMOTION_API_URL='ENTER_MY_URL'

EMOTION_API_TOKEN='ENTER_MY_TOKEN'

```