In this project, we will build a model to detect whether a person is wearing mask in real-time. We will do this using the concepts of computer vision using the OpenCV library and Keras

• Abhishek patel -Team Lead

• Japneet Kaur Bhatia

Windows:

pip install tensorflow

This project can be be used in public to detect if the person is wearning the mask or not.

To run the code clone the repo and run..

python train.py
python test.py

(https://towardsdatascience.com/covid-19-face-mask-detection-using-tensorflow-and-opencv-702dd833515b)

(https://www.mygreatlearning.com/blog/real-time-face-detection/)

(https://harshilp.medium.com/real-time-face-mask-detector-with-opencv-keras-tensorflow-and-deep-learning-d0744fe048c6)

1. Fork it (https://github.com/abhishekpatelmc/face_mask_detection.git)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request