Real-time-face-mask-detection

This repository contains python code to detect faces with or without masks.

Concept of DeepNeuralNetworks is used to prepare the model to detect the faces with or without masks. And, to prepare the model I've used ResNet50_v2 architecture to prepare the CNN.

OpenCV is used to detect faces in real-time using the Video Stream from the WebCam.

Requirements

• Tensorflow(>2.0)
• ResNet50_v2
• OpenCV

Google Colab notebook

To use this repository with Bash

1. Download the repository

git clone https://github.com/Kamlesh364/Real-time-face-mask-detection.git

2. Download the dataset

!wget https://data-flair.s3.ap-south-1.amazonaws.com/Data-Science-Data/face-mask-dataset.zip

3. prepare the dataset

• unzipping dataset

unzip face-mask-dataset.zip

• unzipping testing and training datasets

cd Dataset 
unzip train.zip 
unzip test.zip 
rm -rf train.zip test.zip 
cd .. 

• train the model to test it in real-time

python3 train.py

• test the model in real-time

python3 test.py

Working demo