otaha178/Emotion-recognition
Real time emotion recognition
Leverages convolutional neural networks with a pretrained classifier to detect seven emotion categories from facial features captured via webcam, displaying probability distributions for mixed emotions. Uses the FER2013 dataset (achieving 66% accuracy) and provides both inference and retraining capabilities through Python scripts. Integrates OpenCV for image processing and includes a real-time visualization interface showing emotion probabilities alongside live video feed.
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Language
Python
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MIT
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Last pushed
Aug 30, 2024
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