COVID-WARRIOR

The project aims at developing a face mask and social distancing detector. As the corona virus continues to impact communities across the globe, it has become quite a necessity to reinforce the guidelines laid down by the WHO with high precision.

In an attempt to aid this, we built a ML and Deep Learning based model to detect face masks and social distancing among public.

NOTE- Since github does not support files over 25MB; download the yolo.weights and facemask dataset from MY DRIVE.

TO RUN THIS PROJECT IN YOUR SYSTEM:

• Open your terminal.
• Change the directory to where you have downloaded this code.
• Install python3. (I prefer to use an older version of python like 3.6 to aid the functioning of certain modules).
• Run python3 -m venv venv to create a virtual environment named venv.
• Run source venv/bin/activate This activates your environment.
• Follow up with pip install -r requirements.txt to install the python dependencies related to this project like opencv,numpy,scipy etc.
• Run the command time python social_distance_detector.py --input pedestrians.mp4 --output output.avi --display 1 to run the project. (FOR SOCIAL DISTANCING DETECTION).
• Run the command time python FACE_MASK_DETECTOR.py --display 1 to run the project. (FOR FACE MASK DETECTION).

Contacts:

• Created by: Aryan Ahuja
• Email:[email protected]
• LinkedIn: Aryan Ahuja