Learn OpenCV 4 By Building Projects. Build real-world computer vision and image processing applications with OpenCV and C++ - Second Edition David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi
(ebook)
(audiobook)
(audiobook)
- Autorzy:
- David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi
- Wydawnictwo:
- Packt Publishing
- Ocena:
- Stron:
- 310
- Dostępne formaty:
-
PDFePubMobi
Opis
książki
:
Learn OpenCV 4 By Building Projects. Build real-world computer vision and image processing applications with OpenCV and C++ - Second Edition
OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects.
You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.
By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.
By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
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Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease.-
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Szczegóły książki
- Tytuł oryginału:
- Learn OpenCV 4 By Building Projects. Build real-world computer vision and image processing applications with OpenCV and C++ - Second Edition
- ISBN Ebooka:
- 978-17-893-4762-3, 9781789347623
- Data wydania ebooka :
-
2018-11-30
Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna
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- Rozmiar pliku Pdf:
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- Rozmiar pliku ePub:
- 75.2MB
- Rozmiar pliku Mobi:
- 114.1MB
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Programowanie » Inne - Programowanie
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