OpenCV

Introduction to Object Detection Object detection is a crucial task in the field of computer vision, with applications ranging from surveillance systems to autonomous vehicles. One of the most popular and efficient algorithms for real-time object detection is YOLO (You Only Look Once). In this article, we will guide you through the process of creating a real-time object detection system using YOLO and OpenCV. Prerequisites Before diving into the implementation, ensure you have the following prerequisites:...

Introduction to YOLO and Object Detection Object detection is a fundamental task in computer vision that involves identifying and locating objects within images or video frames. One of the most advanced and efficient algorithms for this task is YOLO (You Only Look Once). YOLO is known for its speed and accuracy, making it suitable for real-time applications such as self-driving cars, surveillance systems, and robotics. How YOLO Works Preprocessing: The input image is resized to a fixed size and the pixel values are normalized....

In this article, we will explore the process of creating a hand gesture recognition system using TensorFlow and OpenCV. This project is ideal for beginners and intermediate developers looking to delve into the world of computer vision and machine learning. Prerequisites Before we begin, make sure you have the following tools installed: Python: The primary language for this project. TensorFlow: A popular open-source machine learning library. OpenCV: A library for computer vision tasks....