YOLOv8 Object Counting in Real-time with Webcam, OpenCV and Supervision

Video Description

Curious about how to build an application capable of detecting objects on a camera stream in real time? You are in the right place! Together we will learn how to access the webcam using OpenCV, detect objects with YOLOv8, and count them with Supervision. Chapters: 0:00 Introduction 0:38 Webcam inference with YOLOv8 CLI 02:12 Accessing webcam with OpenCV 07:05 Webcam inference with YOLOv8 SDK 08:25 Drawing bounding boxes 10:05 Using polygon zones to count detections 14:28 Eliminating double detections with agnostic NMS 16:07 Few extra tricks 18:59 Conclusion Resources: 🌏 Roboflow: https://roboflow.com 🌌 Roboflow Universe: https://universe.roboflow.com 📷 Demo repository: https://github.com/SkalskiP/yolov8-live 🤩 Supervision documentation: https://roboflow.github.io/supervision ⭐ Supervision repository: https://github.com/roboflow/supervision Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐