A package for extracting facial expressions from SLEAP analyses
Facial expression classification web application using deep learning models and model deployment.
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 🎭🤖
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
Smile to jump! 😊 A unique Flappy Bird twist using your webcam and facial expressions to control gameplay. Powered by React and face-api.js.
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