In this video, we’ll walk you through a real-time car detection project using YOLOv4 and OpenCV in Python. You’ll learn how to set up and implement object detection using a custom Python class to load YOLOv4 weights and configuration files. Watch as we process a video feed to detect cars, draw bounding boxes, and count detected objects frame by frame. Perfect for those interested in computer vision, machine learning, and AI-based automotive applications. Whether you’re a beginner or an experienced coder, this tutorial will help you grasp the essentials of real-time object detection.

Code: https://shorturl.at/yPVDt
Source code and blog: https://shorturl.at/rNtjl

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