SWE 583 Computer Vision Term Project

Contributors:

• Oğuz Senna - 2021719240
• Kemal Caner Ertam - 2021719207

Project Presentation

FaceMaskDetector

In this project we aim to build a model that detects face masks and sunglasses from live feed.

We used 2 different dataset for the project.

• Face Mask Dataset : https://www.kaggle.com/datasets/omkargurav/face-mask-dataset/
• Sunglasses Dataset : https://www.kaggle.com/datasets/amol07/sunglasses-no-sunglasses

Mask Detection Model Deployment:

• Deploy the project on yout computer.
• You need to read the dataset from the links above.
• Install required packages(Numpy, pandas, opencv, tensorflow keras)
• Open Terminal:
  • To create a model write 'python modelCreatorMask.py' on the terminal
  • To open detector(live feed) write 'python mask_detector.py' on the terminal
• You can try different masks. Wear, unwear masks to see the models prediction on the live camera feed.

Sunglasses Detection Model Deployment:

• Deploy the project on yout computer.
• You need to read the dataset from the links above.
• Install required packages(Numpy, pandas, opencv, tensorflow keras)
• Open Terminal:
  • To create a model write 'python modelCreatorGlasses.py' on the terminal
  • to open detector(live feed) write 'python glasses_detector.py' on the terminal
• You can try different masks. Wear, unwear masks to see the models prediction on the live camera feed.

Report: https://drive.google.com/file/d/1aN9uGXmGCn3Pv3N4uE6LJEeRokEy8yX5/view?usp=sharing