Project Objective: This will mainly be a learning project, as Machine Learning is an area that is new to us. Nevertheless, we have an “MVP” to aim for, that will serve as a demonstration of our learning.
MVP: We will develop an image classification machine learning algorithm for facial expression recognition: it looks at a photo of a face and can determine what emotion is expressed
To try out our MVP demo, first clone our repository:
git clone git@github.com:Harrison25000/DOSA_dontworrybehappy.git
You may like to set up a virtual environment, e.g. as described by EmoPy* (You could use the requirements.txt and setup.py files from their repository to set up requirements).
Substitute python3.6 with whatever python you are using.
sudo pip install virtualenv
python3.6 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
// Note: `deactivate` command to deactivate the virtual environment* ...which you should totally have a look at if you like, because EmoPy was one of the resources we looked at when first learning about image classification
Then you can try out our demo:
cd webcam_test
python3.6 final_webcam.py
Have fun!