Tells if the person in frame is currently wearing a mask or not. Uses own training data using photo_compiler.py and builds model using IBM Cloud Watson.
photo_compiler.py uses the laptop camera and saves all frames to a folder until quit. This creates a collecion of data to train the model. Next scoring.py takes a photo and will use the trained model from Cloud Watson to detect people wearing masks. At the end colored boxes are drawn around faces highlighting the detection.
- Python
- IBM Cloud Watson
Distributed under the MIT License. See LICENSE for more information.
Sam Guyette - samguyette@gmail.com
Project Link: https://github.com/Samguyette/Mask-Visual-Recognition