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Introduction

This project is able to predict human emotion by receiving an input image. It was created by group of students at University of California, Davis.

Data set

kaggle.com/deadskull7/fer2013

Brief description

  • anger, disgust, fear, happiness, sadness, surprise, and neutral
  • 35887 data entries: 80% training, 10% validating, 10% testing

Static Demo

Install Static Demo Dependencies

Make sure you are in the static_demo directory, then install all the necessary modules with

pip install -r requirements.txt

If on Mac, make sure you are using python 3 as default or use pip3 instead

Run Static Demo

Once you have installed all the required modules, you can run the server with

python -m main

Access Static Demo

Once the server is successfully running, you can access the web app on localhost:8855 using your web browser.

Live Demo

Install Live Demo Dependencies

Make sure you are in the live_demo directory, then install all the necessary modules with

pip install -r requirements.txt

If on Mac, make sure you are using python 3 as default or use pip3 instead

Run and Access Live Demo

Once you have installed all the required modules, you can run the server with

python -m main

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  • Jupyter Notebook 98.9%
  • Other 1.1%