kode-git/vfer
Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.
This project helps researchers and developers explore how AI can recognize human emotions from facial expressions in real-time video feeds. It takes live webcam frames, processes them to identify faces, and then classifies the emotion displayed into categories like happy, sad, or angry. This tool is designed for academic study in computer vision and artificial intelligence, particularly for those interested in real-time emotion detection.
No commits in the last 6 months.
Use this if you are an AI researcher or student investigating real-time facial emotion recognition using vision transformers and need a working example for academic purposes.
Not ideal if you need a production-ready, maintained, or clinically validated system for emotion analysis, as it is an academic project and not actively supported.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Apr 24, 2025
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