Emotion Recognition Web Application

This project combines a Flask web application with real-time emotion detection capabilities using computer vision and machine learning. The application can detect emotions from webcam feed and visualize them in real-time.

Features

• Real-time emotion detection from webcam feed
• Live emotion visualization with bar charts
• Video recording with emotion annotations
• GIF generation of emotion charts
• Cumulative emotion statistics tracking
• Web interface for easy access

Project Structure

├── app.py              # Flask web application
├── emopy.py           # Emotion detection and visualization script
├── requirements.txt   # Python dependencies
├── static/           # Static files
│   └── favicon.ico   # Website favicon
└── artefacts/        # Generated output files

Prerequisites

• Python 3.8 or higher
• Webcam
• Virtual environment (recommended)

Installation

1. Clone the repository:

git clone <repository-url>
cd <repository-name>

2. Create and activate a virtual environment:

python -m venv .venv
# On Windows
.venv\Scripts\activate
# On Unix or MacOS
source .venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

Usage

Running the Web Application

Start the Flask web server:

python app.py

The application will be available at http://localhost:5000

Running Emotion Detection

Run the emotion detection script:

python emopy.py

The script will:

• Open your webcam
• Detect emotions in real-time
• Display a live bar chart of emotions
• Save the video feed with emotion annotations
• Generate a GIF of the emotion chart
• Create a cumulative emotion statistics chart

Press 'q' to quit the emotion detection program.

Output Files

The program generates several output files:

• emotion_video.avi: Video recording with emotion annotations
• emotion_chart.gif: Animated chart of emotion changes
• cumulative_emotions.jpg: Static chart showing emotion trends over time

Dependencies

• Flask: Web framework
• FER: Face Emotion Recognition
• OpenCV: Computer vision library
• Matplotlib: Data visualization
• NumPy: Numerical computing
• Pandas: Data manipulation
• ImageIO: Image processing

For a complete list of dependencies, see requirements.txt.

Contributing

Feel free to submit issues and enhancement requests!

License