YOLOv8 native tracking | Step-by-step tutorial | Tracking with Live Webcam Stream

Video Description

The YOLOv8 team just released (March 9, 2023) native support for object tracking algorithms (ByteTrack and BoT-SORT): https://docs.ultralytics.com/tasks/tracking/ The video will show you how to use the new YOLOv8 object tracking functionality using a live webcam stream. Whether you're an experienced developer or a beginner in the field of computer vision, this video covers everything you need to know to get started with object tracking using YOLOv8. With step-by-step instructions, you'll learn how to use state-of-the-art deep-learning models to track objects in videos and live streams. Chapters: 00:00 Introduction 00:44 Setup Python environment 01:28 Real-time object tracking in the terminal with YOLOv8 CLI 02:17 Bulk video tracking with YOLOv8 SDK 04:56 Setting up inference loop with YOLOv8 SDK 06:11 Bounding box annotation with Supervision 08:18 YOLOv8 tracking ⭐ 10:26 Real-time object counting with Supervision 12:57 Conclusion Resources: ⭐ GitHub repository with demo project: https://github.com/SkalskiP/yolov8-native-tracking 🌏 Roboflow: https://roboflow.com 🌌 Roboflow Universe: https://universe.roboflow.com ⭐ Supervision repository: https://github.com/roboflow/supervision 🎬 Track & Count Objects using YOLOv8 ByteTrack & Supervision: https://youtu.be/OS5qI9YBkfk 🎬 Count People in Zone | 3 Models: YOLOv5, YOLOv8 and Detectron2: https://youtu.be/l_kf9CfZ_8M 🎬 YOLOv8 Object Counting in Real-time with Webcam, OpenCV, and Supervision: https://youtu.be/QV85eYOb7gk 🎬 YOLOv8: How to Train for Object Detection on a Custom Dataset: https://youtu.be/wuZtUMEiKWY 📓 Learn more about YOLOv8 and other Computer Vision models with Roboflow Notebooks: https://github.com/roboflow/notebooks Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐