Face Detection and Emotion Recognition

This Python script uses computer vision and deep learning techniques to perform real-time face detection and emotion recognition using a convolutional neural network (CNN) model.

Requirements

Make sure you have the following libraries installed:

• NumPy
• Matplotlib
• OpenCV (cv2)
• TensorFlow
• PyWavelets (pywt)

You can install these dependencies using the following:

pip install numpy matplotlib opencv-python tensorflow pywavelets

Usage

1. Clone the repository

   git clone https://github.com/yourusername/your-repo.git
   cd your-repo

2. Run the face_detect.py script:

   python face_detect.py

The script will open your webcam and perform face detection and emotion recognition in real-time.

Emotion Classes

The model classifies emotions into the following classes:

• Angry
• Fear
• Happy
• Neutral
• Sad
• Surprise

Additional Notes: The emotion prediction is displayed in real-time on the webcam feed. Press 'q' to exit the application.

• Download the training and validation dataset from here