Mask Detection

The YOLOv5 framework yields extremely fast inference times with high accuracy.

Demo

This project has been integrated into a web application found here (no longer active).

Example Image Output:

Example Video Output:

Prerequisites

• You have installed a 64-bit release of Python 3.7 or above
• All Python modules required are installed (see "Installing SDM" below)

Installation

1. Clone this repository.

2. Navigate to the root of the project folder via the CLI. Use the package manager pip to install the necessary dependencies. e.g.,

pip install -r requirements.txt

Usage

Option 1: Navigate to the root of the project folder via the CLI. e.g.,

python sdm.py [source]

• Image or video: [source] is the path to that file (relative to the root folder)
• Webcam: Do not enter [source]
• HTTP/RTSP stream: [source] is the URL

Ensure that the default interpreter for the python command is version 3.7 or above (or use python3)

Option 2: Upload images/videos to the web application.

Contributors

This project was created by:

• Zeyad Mansour (@zeyad-mansour)
• Manav Malik (@0xmmalik)

It was created for the 2021 High School I/O hackathon and received 1st place.

Future Updates:

• Use computer vision to implement social distancing approximation
• Improve the style of the web application

License

This project uses the following license: GNU GPL v3