This program was designed to detect whether someone is wearing a facemask through a live video stream.

Last update: Apr 02, 2022

Overview

Face mask detector

This program was designed to detect whether someone is wearing a facemask through a live video stream. A custom lightweight CNN trained with TensorFlow on a public dataset provided by Kaggle is used to detect whether each face detected by the cv2 face detection dnn is wearing a mask

##To find the notebook used to traiin the model, visit: https://www.kaggle.com/reeganviljoen/face-mask-dtection##

Instalation

Linux

Debain based distros(eg Ubuntu)
1. Install python: sudo apt install python3/sudo apt-get install python3
2. install pip(python package manager): sudo apt install python3-pip/sudo apt install python3-pip
3. install opencv 2 : pip3 install opencv-python
4. Install tensorflow : pip3 install tensorflow
5. Install imutils: pip3 install imutils
6. unzip the model:
  
  6.1. install unzip: sudo apt install unzip
  
  6.2. unzip the model: unzip mask_model\face_mask_model.zip

Windows

Install python: Follow this link and the instructions that follow: https://www.python.org/ftp/python/3.10.0/python-3.10.0-amd64.exe
install opencv 2 : pip3 install opencv-python
Install tensorflow : pip3 install tensorflow
Install imutils: pip3 install imutils
unzip mask_model\face_mask_model.zip

Running the program

Before running your program it is important to note that opencv indexes your camera id from 0 , and it may take a few attempts to find the right camera in a mutiple camera set up

Run the program:python3 main.py after running the program follow the prompts

Contributing

Contributions to this project are welcomed and encouraged!

Important!: All contributors are xepcted to follow the code of conduct listed in the code_of_conduct.md file to prevent abuse when contributing to this project

Releases(v2.0.0)

v2.0.0(Nov 20, 2021)

A new more accurate model has been designed to replace the old model, a utility for finding your camera id has been added to improve quality of life and the model has been moved to the google drive instead of a zipped folder
Source code(tar.gz)
Source code(zip)
v1.0.0(Oct 23, 2021)

initial release
Source code(tar.gz)
Source code(zip)

A project that uses optical flow and machine learning to detect aimhacking in video clips.

waldo-anticheat A project that aims to use optical flow and machine learning to visually detect cheating or hacking in video clips from fps games. Che

383 Nov 1, 2021

Exploring whether attention is necessary for vision transformers

Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet Paper/Report TL;DR We replace the attention layer in a v

461 Jan 7, 2023

The first dataset of composite images with rationality score indicating whether the object placement in a composite image is reasonable.

Object-Placement-Assessment-Dataset-OPA Object-Placement-Assessment (OPA) is to verify whether a composite image is plausible in terms of the object p

53 Nov 15, 2022

Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified

6 Jan 18, 2022

Diabetes-Feature-Engineering - A machine learning model that can predict whether people have diabetes when their characteristics are specified

Diabetes-Feature-Engineering Aim Developing a machine learning model that can pr

0 Feb 23, 2022

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th

19 Dec 12, 2022

Video-Captioning - A machine Learning project to generate captions for video frames indicating the relationship between the objects in the video

1 Jan 23, 2022

We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will make a program to Crack Any Password Using Python. Show some ❤️ by starring this repository!

Crack Any Password Using Python We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will

11 Dec 3, 2022

Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)

auto-self-checker 자동으로 자가진단 해주는 프로그램(python 필요) 중요 이 프로그램이 실행될때에는 절대로 마우스포인터를 움직이거나 키보드를 건드리면 안된다(화면인식, 마우스포인터로 직접 클릭) 사용법 프로그램을 구동할 폴더 내의 cmd창에서 pip

1 Dec 30, 2021

This program was designed to detect whether someone is wearing a facemask through a live video stream.

Related tags

Overview

Face mask detector

Instalation

Linux

Windows

Running the program

Contributing

You might also like...

A project that uses optical flow and machine learning to detect aimhacking in video clips.

Exploring whether attention is necessary for vision transformers

The first dataset of composite images with rationality score indicating whether the object placement in a composite image is reasonable.

Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified

Diabetes-Feature-Engineering - A machine learning model that can predict whether people have diabetes when their characteristics are specified

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Video-Captioning - A machine Learning project to generate captions for video frames indicating the relationship between the objects in the video

We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will make a program to Crack Any Password Using Python. Show some ❤️ by starring this repository!

Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)

Releases(v2.0.0)

v2.0.0(Nov 20, 2021)

v1.0.0(Oct 23, 2021)

Owner

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

Probabilistic Gradient Boosting Machines

A tool for making map images from OpenTTD save games

AquaTimer - Programmable Timer for Aquariums based on ATtiny414/814/1614

This repository is the code of the paper Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies

Python code for loading the Aschaffenburg Pose Dataset.

Model Zoo for MindSpore

An official PyTorch implementation of the TKDE paper "Self-Supervised Graph Representation Learning via Topology Transformations".

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Reimplementation of Dynamic Multi-scale filters for Semantic Segmentation.

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Contenido del curso Bases de datos del DCC PUC versión 2021-2

Source code of our TTH paper: Targeted Trojan-Horse Attacks on Language-based Image Retrieval.

Used to record WKU's utility bills on a regular basis.

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Computer-Vision-Paper-Reviews - Computer Vision Paper Reviews with Key Summary along Papers & Codes

Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

CTC segmentation python package

SatelliteNeRF - PyTorch-based Neural Radiance Fields adapted to satellite domain