Object Detection

Introduction to Computer Vision Computer vision, the art of making machines see, is a fascinating field that has revolutionized how we interact with technology. Imagine a world where your smartphone can recognize your face, your car can drive itself, and your home security system can alert you to any suspicious activity. All this is possible thanks to the powerful combination of OpenCV and TensorFlow. Why OpenCV and TensorFlow? OpenCV (Open Source Computer Vision Library) is a treasure trove of image and video processing algorithms....

Введение в компьютерное зрение Компьютерное зрение, искусство заставлять машины видеть, — это увлекательная область, которая произвела революцию в том, как мы взаимодействуем с технологиями. Представьте себе мир, где ваш смартфон может распознавать ваше лицо, ваша машина может ездить сама по себе, а система безопасности вашего дома может предупреждать вас о любой подозрительной активности. Всё это возможно благодаря мощному сочетанию OpenCV и TensorFlow. Почему именно OpenCV и TensorFlow? OpenCV (библиотека компьютерного зрения с открытым исходным кодом) — это сокровищница алгоритмов обработки изображений и видео....

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....