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Facial Emotion Recognition with ML5: A computer vision project that runs in the browser using ml5.js and TensorFlow.js

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Emotion-Recognition-with-ML5

Facial Emotion Recognition with ML5: A computer vision project that runs in the browser using ml5.js and TensorFlow.js

PREVIEW

Getting Started

You can simply double click on index.html and use the app. Additionally, you can find the main code in sketch.js

Run locally

You can simply open index.html in your browser.

Additionally, you can run a local server. You need to have Python installed in your computer.

  1. Run a simple http server using Python's built-in http.server:

    python -m http.server
  2. Open http://localhost:8000/ in your favorite browser

Built With

  • p5.js - The HTML canvas library used
  • ml5.js - The Machine Learning library used
  • clmtrackr - The library used for face tracking

Authors

License

This project is licensed under the MIT License - see the LICENSE file for details

Acknowledgments

Happy coding!

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Facial Emotion Recognition with ML5: A computer vision project that runs in the browser using ml5.js and TensorFlow.js

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