Real Time Facial Expression Recognition

• Real Time Facial Expression Recognition is a project that utilizes deep learning & computer vision to analyze facial expressions in real-time.
• It detects and classifies facial expressions such as happiness, sadness, anger, etc.

Table of Contents

• Installation
• Features
• Usage
• Demo
• Documentation
• Credits

Installation

1. Clone the repository: git clone https://github.com/AmrKhaledSaleh/Real_Time_Facial_Expression_Recognition.git
2. Navigate to the project directory: cd Real_Time_Facial_Expression_Recognition
3. Install dependencies:
   • pip install numpy
   • pip install opencv-python
   • pip install keras

Features

• This project has three main features :

1. Detect facial expressions from camera

• the app will detect your facial expressions throw your camera in real time
• It will classify your facial expression into one out of seven expressions which are: {'anger', 'disgust', 'fear', 'happiness', 'neutral', 'sad', 'surprise'}

2. Detect facial expressions of a photo

• the app will detect facial expressions of the photo uploaded

3. Detect facial expressions of a video

• the app will detect facial expressions of the video uploaded

Usage

• Run the application: python main.py
• Choose the between these three features :
  1. upload a photo
  2. upload a video
  3. open camera
• (Screenshots of the GUI)

Demo

Check out the model on Kaggle here

Documentation

Additional documentation and usage details can be found here.

Credits

• (Our names)