README.md

PPE-Detection-YOLO

This repository contains a project that uses YOLO for detecting Personal Protective Equipment (PPE) in images and videos. The project includes pre-trained models, scripts for image and video detection, and examples for testing.

Project Structure

PPE-Detection/
├── data/
│   ├── images/
│   ├── videos/
│   └── models/
├── src/
│   ├── image_detection.py
│   ├── video_detection.py
├── output/
│   ├── images/
│   ├── videos/
│   └── gifs/
├── notebooks/
│   ├── EDA.ipynb
├── README.md
├── requirements.txt
├── .gitignore

Installation

1. Clone the repository:

   git clone https://github.com/oaslananka/PPE-Detection-YOLO.git
   cd PPE-Detection

2. Install the required libraries:

   pip install -r requirements.txt

Usage

Image Detection

Run the following command to detect PPE in an image:

python src/image_detection.py --image path/to/your/image.jpg --output path/to/save/output_image.jpg

Video Detection

Run the following command to detect PPE in a video:

python src/video_detection.py --video path/to/your/video.mp4 --output_video path/to/save/output_video.mp4 --output_gif path/to/save/output_video.gif

Example Output

Here is an example output of the video detection saved as a GIF:

Project Components

data/

Contains sample images, videos, and the pre-trained model.

src/

Includes the main scripts for image and video detection.

output/

Stores the processed output images, videos, and GIFs.

notebooks/

Holds Jupyter notebooks for data exploration and analysis.

License

This project is licensed under the MIT License.