Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects Paperback – June 21, 2019
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Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects Paperback – June 21, 2019
Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects Paperback – June 21, 2019
товар №: 27770853

Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects

товар №: 27770853

TJS 624

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Discover the best cross-platform computer vision app development projects. Master Qt 5, OpenCV 4, and build practical applications. Get your paperback copy now! Shop at Ubuy Tajikistan
Item Weight 1.32 pounds (600 grams)
ISBN-10 1789532582
ISBN-13 978-1789532586
Paperback 348 pages
Product Dimensions 7.5 x 0.79 x 9.25 inches (19.1 x 2 x 23.5 cm)
Publisher Packt Publishing (June 21, 2019)
Language: English

ОПИСАНИЕ ТОВАРА

Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects Paperback – June 21, 2019

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  • вопрос: Is this book suitable for beginners in computer vision?

    отвечать: This book may not be suitable for beginners as it assumes some prior knowledge in computer vision.

zhuo-qingliang Books Editorial Review

This book is a comprehensive guide for developers looking to learn how to use Qt 5 and OpenCV 4 to build computer vision applications. The author provides step-by-step instructions and code examples to help readers build seven practical projects. The book covers a wide range of topics including image processing, object detection, and video analysis. Overall, this book is highly recommended for developers who want to explore the capabilities of Qt 5 and OpenCV 4 in computer vision development.

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Плюсы

  • Comprehensive guide for developers
  • Step-by-step instructions and code examples
  • Covers a wide range of topics

Минусы

  • May not be suitable for beginners in computer vision

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