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.
- anger, disgust, fear, happiness, sadness, surprise, and neutral
- 35887 data entries: 80% training, 10% validating, 10% testing
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
Once you have installed all the required modules, you can run the server with
python -m main
Once the server is successfully running, you can access the web app on localhost:8855 using your web browser.
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
Once you have installed all the required modules, you can run the server with
python -m main