Justin900429/Facial-Graph-Representation-Learning
PyTorch version for the "Micro-expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion"
This project helps researchers and practitioners analyze subtle, involuntary facial movements, known as micro-expressions, which can reveal true emotions. It takes video footage of faces as input and outputs classifications of micro-expressions, such as 'happiness' or 'sadness'. This is ideal for psychologists, behavioral scientists, or anyone studying human emotion and deception.
No commits in the last 6 months.
Use this if you need to automatically detect and categorize very brief, involuntary facial expressions from video data.
Not ideal if you are looking to analyze macro-expressions (obvious, longer-lasting emotions) or require real-time detection in live scenarios.
Stars
74
Forks
3
Language
Python
License
MIT
Category
Last pushed
Oct 11, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Justin900429/Facial-Graph-Representation-Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
HumeAI/hume-api-examples
Example projects built with the Hume AI APIs
isseu/emotion-recognition-neural-networks
Emotion recognition using DNN with tensorflow
atulapra/Emotion-detection
Real-time Facial Emotion Detection using deep learning
amineHorseman/facial-expression-recognition-using-cnn
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions...
otaha178/Emotion-recognition
Real time emotion recognition