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Real-time pose validation for physiotherapy exercises using pre-trained TensorFlow.js model PoseNet

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Physio PoseNet

Real-time pose validation for physiotherapy exercises using pre-trained TensorFlow.js model PoseNet

This application has been developed during Arkathon 2019

Contents

frontend/arkathon-frontend - the code for the application frontend (Javascript)

backend/physio-backend - the code for the application backend (Python)

Deploy

Build the docker image
cd physio-posenet
docker build -t physioarkathon/physio-backend:0.1.0 .
docker push physioarkathon/physio-backend:0.1.0
Run the app
docker pull physioarkathon/physio-backend:0.1.0
docker-compose up -d

Then open a browser and access http://localhost:8080/index.html

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Real-time pose validation for physiotherapy exercises using pre-trained TensorFlow.js model PoseNet

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