• About
  • Libraries/Modules
• Pre-Requisites
• Installation
• Usage
• Contributor(s)

About

The Facial Expression Recognizer detects and classifies the expression of the human face either in a pre-recorded video or a live stream from the camera. As of now, It is capable to recognize 7 different expressions:-

1. Anger
2. Disgust
3. Fear
4. Happy
5. Neutral
6. Sad
7. Surprised

This has been trained on the FER 2013 Dataset.

The architecture of the model is as follows:

Libraries/Modules

• Python
• Keras
• OpenCV
• Numpy

Pre-Requisites

Do install these before running the script

• Python 3.7+
• Tensorflow
• OpenCV
• Numpy

Installation

1. First clone the project

git clone https://github.com/payo101/Facial-Expression-Detection.git

1. Start the script

python3 camera.py

Usage

By Default, It has been programmed to work for live stream. One needs a working camera for that purpose.

Contributor(s)

1. Piyus Kumar Rout