sb-ai-lab/EmotiEffLib

Health v2 · maintenance only

Adoption not part of the score

1057 stars · 156 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

EmotiEffLib (formerly HSEmotion) is a lightweight library for facial emotion and engagement recognition in photos and videos, available in Python and C++. It supports PyTorch and ONNX backends for efficient real-time analysis across platforms.

Use cases

• recognize emotions in photos
• detect facial expressions in video
• analyze user engagement from webcam footage
• run real-time emotion recognition with onnx
• classify emotions on the affectnet dataset
• integrate face emotion detection into a c++ application

When to choose

• you need lightweight, real-time facial emotion recognition in Python or C++
• you want PyTorch or ONNX backend flexibility for deployment
• you need both image and video emotion analysis
• you want state-of-the-art accuracy on AffectNet benchmarks

When to avoid

• you need full-body pose or gesture analysis
• you need text or speech emotion recognition
• you need training pipelines for custom emotion models from scratch

Facets

library · maturity active

machine-learning computer-vision image-processing video-processing nlp computer-vision machine-learning image-processing artificial-intelligence python cpp cross-platform emotion-recognition facial-expression-recognition engagement-detection onnx pytorch affectnet video

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