AI Object Tracker

This project demonstrates real-time object detection and tracking using YOLOv8 (Ultralytics) and PyTorch.
It processes video streams, detects objects, and visualizes motion trajectories.

Features

• Object detection via YOLOv8
• Real-time object tracking
• Frame-by-frame visualization (OpenCV)
• Modular code for experimentation

Tech Stack

• Python 3.10+
• PyTorch
• OpenCV
• Ultralytics YOLOv8

Usage

pip install -r requirements.txt
python src/main.py

🎥 Demo

A simple demo video is included in data/input_video.mp4.

📚 Author

Ynki — Data Scientist | Machine Learning Engineer

// My research involves developing model objects for use as assistive tools in games for training and studying AI models (aimbot).