Hi, I'm Yacine Rouizi - a self-taught developer passionate about machine learning, deep learning, and computer vision. My mission is to make these complex topics accessible to everyone through hands-on tutorials and clear explanations.
I'm the author of the book Mastering YOLO: Build an Automatic Number Plate Recognition System.
Explore the critical role of Non-Maximum Suppression (NMS) in object detection to eliminate redundant bounding boxes, ensuring precise results. This guide covers NMS's workings, the importance of Intersection-over-Union (IoU), and how to implement NMS with OpenCV in Python.
Learn how to perform vehicle detection, tracking and counting with YOLOv8 and DeepSORT using OpenCV library in Python.
Learn how to perform real-time object tracking with the DeepSORT algorithm and YOLOv8 using the OpenCV library in Python.
Using the state-of-the-art YOLOv8 object detection for real-time object detection, recognition and localization in Python using OpenCV, Ultralytics and PyTorch.
