Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

By : Zhuo Qingliang
4 (1)
Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

4 (1)
By: Zhuo Qingliang

Overview of this book

OpenCV and Qt have proven to be a winning combination for developing cross-platform computer vision applications. By leveraging their power, you can create robust applications with both an intuitive graphical user interface (GUI) and high-performance capabilities. This book will help you learn through a variety of real-world projects on image processing, face and text recognition, object detection, and high-performance computing. You’ll be able to progressively build on your skills by working on projects of increasing complexity. You’ll begin by creating an image viewer application, building a user interface from scratch by adding menus, performing actions based on key-presses, and applying other functions. As you progress, the book will guide you through using OpenCV image processing and modification functions to edit an image with filters and transformation features. In addition to this, you’ll explore the complex motion analysis and facial landmark detection algorithms, which you can use to build security and face detection applications. Finally, you’ll learn to use pretrained deep learning models in OpenCV and GPUs to filter images quickly. By the end of this book, you will have learned how to effectively develop full-fledged computer vision applications with OpenCV and Qt.
Table of Contents (11 chapters)

Using OpenGL for the High-Speed Filtering of Images

In the previous chapters, we learned a lot about how to use OpenCV to deal with images and videos. Most of these processes are done by the CPU. In this chapter, we will explore another way to process images, that is, by moving the image filtering from the CPU to the graphics processing unit (GPU) using OpenGL.

In many types of software, such as the Google Chrome browser, you may see an option for hardware acceleration, or similar, on the Settings page. Usually, these settings mean that the graphics card (or the GPU) is being used to do rendering or computing. This approach, which uses another processor rather than the CPU to do the computing or rendering, is called heterogeneous computing. There are many ways to do heterogeneous computing, including OpenCL, which we mentioned in Chapters 6, Object Detection in Real Time while...