June 2019
Intermediate to advanced
348 pages
8h 28m
English
Overview
In "Qt 5 and OpenCV 4 Computer Vision Projects", you will build practical computer vision applications using real-world techniques. Through detailed projects, this book focuses on combining Qt for GUI design and OpenCV for image processing with tools like GPUs, enabling you to create powerful, efficient solutions.
What this Book will help me do
- Understand the essential aspects of combining Qt with OpenCV for computer vision applications.
- Design user-friendly graphical interfaces for advanced computer vision projects with Qt.
- Apply OpenCV techniques to process images, detect objects, and analyze motion effectively.
- Learn to implement solutions leveraging GPU acceleration for high-performance image operations.
- Master working with deep learning models and cascades for advanced recognition tasks.
Author(s)
Zhuo Qingliang, the author of this book, is a software engineer with expertise in computer vision and graphical applications development. With years of professional experience, Zhuo focuses on making advanced technologies like Qt and OpenCV accessible to developers through clear explanations. Their approachable writing style guides readers in learning effectively.
Who is it for?
This book is tailored for developers and engineers with basic experience in Qt and OpenCV frameworks. It is suitable for those who want to advance their skills to construct professional-grade applications. Readers familiar with C programming will benefit the most, as the examples involve coding techniques specific to C.
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