Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
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Updated
Mar 21, 2023 - Jupyter Notebook
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.
MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).
Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection
Real-time video streaming mask detection based on Python. Designed to defeat COVID-19.
3DiVi Face SDK is a set of software components (code libraries) for building face recognition solutions
Recognize 2000+ faces on your Jetson Nano with additional mask detection, auto-fill and anti-spoofing
Detection masks on faces.
In-browser Real-time Mask Detection | Deployment part. Based on NCNN and Web-Assembly.
A real-time face mask detector based on computer vision and deep learning, created using Pytorch and OpenCV
A pre-trained YOLOv3 based mask detection network.
A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.
This repo contains the code for the thesis "Monitoring COVID-19 prevention measures using Deep Learning"
It is a basic attendance system based on GUI and marks attendance only if the mask is detected and uses SQLite database. It is under development.
Face Mask Detection is a project to determine whether someone is wearing mask or not, using deep neural network.
Web Application that detects whether the end-user is wearing a mask or not. (submission for hvtechfest)
Use FCOS model to Check whether people wear masks
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