MASKED

The project above consists of three main parts:
1> The jupyter notebook that was use to train the model for seperating the masked and unmasked faces.
      The link to the data set is as follows:
https://drive.google.com/drive/folders/1EhyJ0bcn_8ItbMkniyfH5Yl2oPaOhY9h?usp=sharing
2> Secondly the face detector model that is built inside the OpenCV. The deploy.protoxt.txt and the
      res10_300x300_ssd_iter_140000.caffemodel file are used to access the DNN model to detect faces.
3> Finally everything is put together in the python file facevideo.py which detects, predicts and
      faces without mask
https://imgur.com/a/n2fZYj7