alimottaghi / facial_paralysis

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Facial Paralysis Detection

This repository hosts the code for detecting facial paralysis from video inputs using machine learning techniques. The project analyzes video data to identify symptoms of facial paralysis effectively.

  • Video Processing: Processes video data to extract facial keypoints using mmpose_video.py.
  • Dataset Management: Manages datasets specific to facial paralysis with fp_dataset.py.
  • Model Training: Trains detection models in learning.py.
  • Main Execution: Orchestrates the workflow through main.py.

Usage

Run the main script:

python main.py

Explore the demonstration notebook:

jupyter notebook demo.ipynb

License

Licensed under the MIT License. See LICENSE.md for details.

Author

Ali Mottaghi (mottaghi@stanford.edu)

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License:MIT License


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Language:Python 90.3%Language:Jupyter Notebook 9.7%