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Название: Advanced Computer Vision with OpenCV 4: Build powerful computer vision applications with OpenCV 4 using Python and C++
Автор: Finbarrs Oketunji
Издательство: Independently published
Год: November 22, 2024
Страниц: 827
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Advanced Computer Vision with OpenCV 4 presents techniques and methods for developing computer vision applications using OpenCV 4. The book enables software engineers, researchers, and computer vision enthusiasts to implement advanced image and video processing systems. OpenCV (Open Source Computer Vision Library) stands as one of the most powerful and widely-used open-source libraries for computer vision and image processing. Since its initial release in 2000, OpenCV has evolved significantly, with version 4 introducing substantial improvements in performance, functionality, and deep learning capabilities. In the Chapter 1, we’ll establish a solid foundation for working with OpenCV 4. We’ll begin by understanding the library’s architecture, followed by setting up a proper development environment for both Python and C++. You’ll learn about the core concepts, basic image operations, and important data structures that form the backbone of OpenCV applications.
Автор: Finbarrs Oketunji
Издательство: Independently published
Год: November 22, 2024
Страниц: 827
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Advanced Computer Vision with OpenCV 4 presents techniques and methods for developing computer vision applications using OpenCV 4. The book enables software engineers, researchers, and computer vision enthusiasts to implement advanced image and video processing systems. OpenCV (Open Source Computer Vision Library) stands as one of the most powerful and widely-used open-source libraries for computer vision and image processing. Since its initial release in 2000, OpenCV has evolved significantly, with version 4 introducing substantial improvements in performance, functionality, and deep learning capabilities. In the Chapter 1, we’ll establish a solid foundation for working with OpenCV 4. We’ll begin by understanding the library’s architecture, followed by setting up a proper development environment for both Python and C++. You’ll learn about the core concepts, basic image operations, and important data structures that form the backbone of OpenCV applications.