I made this program to detect whether someone is wearing a facemask through a live video stream. I built my model on the MobileNetV2 model wich shows great improvemnts in accuracy over the custom solution in version 1.i trained the model with TensorFlow on a public dataset provided by Kaggle . Opencv is used to create and feed each frame ino the original model.

To find the notebook used to train the model, visit: https://www.kaggle.com/reeganviljoen/face-mask-dtection

• Debain based distros(eg Ubuntu)

  1. Install python: sudo apt install python3/sudo apt-get install python3

  2. install pip(python package manager): sudo apt install python3-pip/sudo apt install python3-pip

  3. install opencv 2 : pip3 install opencv-python

  4. Install tensorflow : pip3 install tensorflow

  5. Install imutils: pip3 install imutils

  6. Downlaod the model from my google drive(its to big for github): https://drive.google.com/drive/folders/1VLYJh1CotZViI7uQ1KPlZH-LeTed45O4?usp=sharing

1. Install python: Follow this link and the instructions that follow: https://www.python.org/ftp/python/3.10.0/python-3.10.0-amd64.exe

2. install opencv 2 : pip3 install opencv-python

3. Install tensorflow : pip3 install tensorflow

4. Install imutils: pip3 install imutils

5. Downlaod the model from my google drive(its to big for github): https://drive.google.com/drive/folders/1VLYJh1CotZViI7uQ1KPlZH-LeTed45O4?usp=sharing

Before running your program it is important to note that opencv indexes your camera id from 0 ,but in this second version if have included a utility to help you find the right cmera number so now you can test away with camtest.py

Run the program: python3 main.py

after running the program follow the prompts

Contributions to this project are welcomed and encouraged!

Important!: All contributors are xepcted to follow the code of conduct listed in the code_of_conduct.md file to prevent abuse when contributing to this project