Project Drowsy 🥱

Project Drowsy is a computer vision project to predict driver drowsiness based on two key characteristics - eyes open/closed and yawning/not-yawning.

The model uses mediapipe for face/eye detection and a custom trained CNN model to predict eyes open/closed and yawning/not-yawning. The CNN model was trained using a kaggle dataset containing

• 726 images of eyes closed
• 726 images of eyes open
• 725 images of drivers yawning
• 723 images of drivers not yawning

Try it out F.R.I.D.A for yourself here!

This project was created as part of the Le Wagon Data Science Bootcamp (batch #753) by Patrick Rigg, Will Graham, Kai Majerus and Julien Festou.

Startup the project

The initial setup.

Create virtualenv and install the project:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
    pip install pip -U; pip install -r requirements.txt

Unittest test:

make clean install test

Check for project_drowsy in gitlab.com/{group}. If your project is not set please add it:

• Create a new project on gitlab.com/{group}/project_drowsy
• Then populate it:

##   e.g. if group is "{group}" and project_name is "project_drowsy"
git remote add origin [email protected]:{group}/project_drowsy.git
git push -u origin master
git push -u origin --tags

Functionnal test with a script:

cd
mkdir tmp
cd tmp
project_drowsy-run

Install

Go to https://github.com/{group}/project_drowsy to see the project, manage issues, setup you ssh public key, ...

Create a python3 virtualenv and activate it:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate

Clone the project and install it:

git clone [email protected]:{group}/project_drowsy.git
cd project_drowsy
pip install -r requirements.txt
make clean install test                # install and test

Functionnal test with a script:

cd
mkdir tmp
cd tmp
project_drowsy-run