kimokcheon / wsb2023-homework

My hands-on session for WSB2023

WSB2023-homework

My hands-on session for WSB2023 You can find a brief introduction to this project on Bilibili

Introduction

In this hands-on session, we use Open-cv to implement face detection and recognition, face with mask detection, facial expression recognition and breathing mask recognition. In facial expression recognition, the facial expression of the currently detected face is displayed only when the face is not blocked. We have also added a breathing mask recognition function to the system so that when we detect that if users are not wearing breathing masks, the system will automatically announce to remind users to put it on.

Dependencies

Python 3.x, OpenCV 4.7, Tensorflow, TFlearn, Keras,Pygame,Threading

Open terminal and enter the file path to the desired directory and install the following libraries

pip install numpy
pip install opencv-python
pip install tensorflow
pip install tflearn
pip install keras
pip install threading
pip install pygame

Reference

https://github.com/fengyuentau/WSB2022-assignment