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face-mask-detection

https://github.com/vishwasgowdam/face-mask-detection

Science Score: 54.0%

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    Academic publication links
    Links to: arxiv.org
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    Scientific vocabulary similarity
    Low similarity (11.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Vishwasgowdam
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 33.4 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License Citation

README.md

Face-mask-detectionFace Mask Detection

Motivation Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging.

Any doubts, contact me at mvishwasgowda@gmail.com

Features Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).

This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed.

framework used

Prerequisites

All the dependencies and required libraries are included in the file requirements.txt

Installation 1. Clone the repo $ git clone https://github.com/Vishwasgowdam/Face-mask-detection.git

  1. Change your directory to the cloned repo $ cd Face-Mask-Detection

  2. Create a Python virtual environment named 'test' and activate it $ virtualenv test $ source test/bin/activate

  3. Now, run the following command in your Terminal/Command Prompt to install the libraries required $ pip3 install -r requirements.txt

:bulb: Working

  1. Open terminal. Go into the cloned project directory and type the following command: $ python3 train_mask_detector.py --dataset dataset

  2. To detect face masks in an image type the following command: $ python3 detect_mask_image.py --image images/pic1.jpeg

  3. To detect face masks in real-time video streams type the following command: ``` $ python3 detectmaskvideo.py

Streamlit app

Face Mask Detector webapp using Tensorflow & Streamlit

command $ streamlit run app.py

Owner

  • Name: Vishwasgowda M
  • Login: Vishwasgowdam
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Face Mask Detection
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - email: mvishwasgowda@gmail.com
    family-names: G
    given-names: Vishwasgowda M
repository-code: >-
  https://github.com/Vishwasgowdam/Face-mask-detection.git
license: MIT
version: v1.0.0
date-released: '2022-02-27'

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Dependencies

requirements.txt pypi
  • argparse ==1.4.0
  • imutils ==0.5.4
  • keras ==2.4.3
  • matplotlib ==3.4.1
  • numpy ==1.19.5
  • onnx ==1.10.1
  • opencv-python >=4.2.0.32
  • pillow >=8.3.2
  • scikit-learn ==0.24.1
  • scipy ==1.6.2
  • streamlit ==0.79.0
  • tensorflow >=2.5.0
  • tf2onnx ==1.9.3