Home

Welcome to the Py-EmotionVA wiki!

Py-EmotionVA is an open-source project for facial emotion recognition and affect analysis based on deep learning and computer vision.

The project focuses on:

• Facial expression recognition
• Valence & arousal estimation
• Face alignment and preprocessing
• Deep learning inference and deployment
• Real-time emotion analysis pipelines

Features

• Python-based implementation
• Modular and easy-to-extend architecture
• Support for deep learning model inference
• ONNX Runtime deployment support
• Cross-platform compatibility

Tech Stack

• Python
• OpenCV
• ONNX Runtime
• Deep Learning / Computer Vision

Project Goals

Py-EmotionVA aims to provide a lightweight and practical framework for emotion recognition research and real-world AI applications.

GitHub Repository: [Py-EmotionVA](https://github.com/QuYJLeo/Py-EmotionVA?utm_source=chatgpt.com)