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
.
Run the main script:
python main.py
Explore the demonstration notebook:
jupyter notebook demo.ipynb
Licensed under the MIT License. See LICENSE.md for details.
Ali Mottaghi (mottaghi@stanford.edu)