Covid19-Mask-Detector

Description

Our goal is to train a custom deep learning model to detect whether a person is or is not wearing a mask. This detector can be used to ensure the sefety of the people. It can be used in real time systems for detecting whether people are wearing mask or not

Table of Contents

1. Usage
2. Implementation

1. Usage

1. First run the train_mask_detector.py file in the experiements folder by specifying the path of the dataset
2. Use the model in the detect_mask_video.py for detecting whether the person has a mask or not on his face

2. Implementation of COVID19 Mask Detector with OpenCV, Keras and Deep Learning

The model is made in two phases:

1. Train the face mask detector model
2. Apply the face mask detector model

train_mask_detector.py: Accepts our input dataset and fine-tunes MobileNetV2 upon it to create our mask_detector.model.

plot.png : A training history plot.png containing accuracy/loss curves is also produced.

detect_mask_image.py: Performs face mask detection in static images.

detect_mask_video.py: Using your webcam, this script applies face mask detection to every frame in the stream.