SemaREC

Multimedia Semaphore Pose Detection

SemaREC is a Web Application written in Python developed by Team Superconductor that utilizes YOLOv11 & YOLOv12 for Image/Video classification, as well as real-time inference.

Pre-requisites

This repository will assume that Python is configured with the correct PATH settings, as well as pip.

How to Deploy your local copy?

1. Clone this repository git clone https://github.com/AHG-BSCS/semaphore-machine-learning/
2. Navigate to the repository folder, this may vary depending where you have stored your file.
3. Download the required dependencies pip install -r requirements.txt
4. Navigate to app directory cd app
5. Run the app.py file using python app.py

You may browse the Web App using http://localhost:8000

Note

Depending on the specifications of your hardware, it may take some time to infer images/videos, real-time classification might get a "laggy" experience for older hardware.

License

This repository is licensed under MIT.

Acknowledgements

• Python
• numpy
• OpenCV
• Flask
• Werkzeug
• Ultralytics
• Roboflow

Special Thanks

For providing extra Semaphore Datasets

• Skripsi Cyber University
• skripsian
• And to you for checking out this project!