A package for extracting facial expressions from SLEAP analyses
-
Updated
Dec 27, 2022 - Python
A package for extracting facial expressions from SLEAP analyses
Facial expression classification web application using deep learning models and model deployment.
Implementation and comparison of classification algorithms (OLS, Gaussian classifiers, Naive Bayes) applied to EMG signals for facial expression recognition. Evaluates accuracy across 100 random train/test splits on a 50,000. sample dataset with 5 expression classes
A production-ready facial expression recognition system trained on the FER-2013 dataset. It provides a FastAPI-based REST API, is fully containerized with Docker, deployable on Kubernetes with health checks and autoscaling, and includes a Streamlit interface for local testing.
Real-time facial expression to emoji mapping in the browser using MediaPipe & TensorFlow.js 🎭🤖
Smile to jump! 😊 A unique Flappy Bird twist using your webcam and facial expressions to control gameplay. Powered by React and face-api.js.
Add a description, image, and links to the facial-expression-classification topic page so that developers can more easily learn about it.
To associate your repository with the facial-expression-classification topic, visit your repo's landing page and select "manage topics."