Description: This project implements a facial recognition and emotion prediction system using the KNeighborsClassifier algorithm. The system is designed with a graphical user interface (GUI) using CustomTkinter for easy interaction. Users can train the model using various faces, and the system will recognize the faces and predict the associated emotions.
Features:
- Face recognition: Detects and identifies faces in uploaded images.
- Emotion prediction: Predicts the emotions expressed by the detected faces.
- CustomTkinter GUI: Provides an intuitive interface for users to interact with the system.
- KNeighborsClassifier: Utilizes the KNeighborsClassifier algorithm for facial recognition and emotion prediction.
Installation:
- Clone the repository:
git clone https://github.com/akhil838/FREP_scikit-learn.git - Navigate to the project directory:
cd FREP_scikit-learn - Install the required dependencies:
pip install -r requirements.txt
Usage:
- Run the main script:
python main.py - Use the add_faces to train the machine to recognise a new face.
- View the recognized faces and predicted emotions.
UI:
- Home Page
- Test
- Train
Contributing: Contributions are welcome! If you have any suggestions, feature requests, or bug reports, please feel free to open an issue or create a pull request on the GitHub repository.
License: This project is licensed under the MIT License. See the LICENSE file for more details.
References: