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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

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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 - okladka książki

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 - okladka książki

Autorzy:
David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi
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Bądź pierwszym, który oceni tę książkę
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310
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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.

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O autorze książki

Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.

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