Deepface

DeepFace is an open-source facial recognition and analysis system developed by the AI research community. It provides high-accuracy face recognition, verification, and analysis using deep learning models. DeepFace enables developers, researchers, and organizations to integrate facial recognition capabilities into applications, workflows, and security systems.

Features of DeepFace:

• Supports face recognition, verification, and facial attribute analysis (age, gender, emotion, race).
• Built on top of deep learning frameworks like TensorFlow and Keras for high accuracy.
• Supports multiple pre-trained models like VGG-Face, Facenet, OpenFace, DeepID, Dlib, and ArcFace.
• Easy integration with Python, enabling quick deployment in scripts and applications.
• GPU acceleration supported for faster face processing using TensorFlow or PyTorch backends.
• Flexible deployment: local environments, server APIs, or cloud-based systems.
• Open-source and freely available, allowing customization and extension.
• Lightweight and scalable for both research experiments and production systems.

To check the version of DeepFace, run the following commands:
# sudo su
# sudo apt update
# cd /opt
# source /opt/deepface-env/bin/activate
# pip show deepface | grep Version

Disclaimer: DeepFace is open-source software distributed under the MIT License. It is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors of DeepFace are not responsible for any damages, losses, or consequences resulting from its use. Users are encouraged to review licensing terms and comply with applicable regulations when using DeepFace.