README.md

Real Time Face Mask Detector using Deep Learning

Real Time Face Mask Detector with TensorFlow/Keras with the help of OpenCV. By Caffe model detecting Face then Classify whether person wearing Mask or Not based on trained model on base of mobilenet_v2 model with pre-trained weights of 'imagenet'.

Requirements

• TensorFlow
• Python 3.5 +
• Numpy
• Opencv
• imutils
• Matplotlib
• sklearn

Note

• The dataset used can be downloaded here - Click to Download
• Caffe-based Face Detector because it's more accurate and fast
• Trained model on base of mobilenet_v2 model with pre-trained weights of 'imagenet'

About Project

• First Load Data and Pre-process it

• Trained model on base of mobilenet_v2 model with pre-trained weights of 'imagenet'

• Save model as 'model_detector.model' ( save_format = h5 )

• Using OpenCV and serialized faceNet (res10_caffe_model) extract Person's Live Face and it's location

• Then our trained serialized 'mask_detector.model' detect whether person wearing mask or not

• Then rest of the work will be done by OpenCV as to label prediction and show live

Screenshots

• With Mask ...

• Without Mask ...

Accuracy Plot