object-tracking

Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

Real-time vehicle counting with YOLOv8 + ByteTrack — video files, RTSP/IP cameras, YouTube live streams. CLI + PyQt6 GUI + Google Colab notebook.

Multi-stream video inference with Ultralytics YOLO - Display multiple video streams in a grid layout with real-time object detection.

A Python notebook demonstrating an Intrusion Detection System for surveillance videos using OpenCV, focusing on real-time threat detection and alert notifications.

A lightweight script for performing Kalman filter based object tracking using MMDetection models.

A Jupyter notebook demonstrating motion detection in videos using OpenCV techniques such as background subtraction and erosion, tailored for real-world applications.

Computer vision practice combining YOLOv11 object detection notebooks with OpenCV object tracking scripts.

This repository is a collection of Python scripts and Jupyter notebooks for understanding the performance improvement in image classification, object detection and instance segmentation with OpenVINO. It also contains reference implementations of dwell time analytics, ALPR and polyp detection.

Object-Tracking-YOLOv8 adalah repository yang berisi implementasi pelacakan objek (object tracking) menggunakan model YOLOv8. Repository ini menggunakan Jupyter Notebook untuk mendemonstrasikan proses deteksi dan pelacakan objek pada video atau gambar dengan memanfaatkan teknologi deep learning terbaru dari YOLO (You Only Look Once) versi 8.