Mastering OpenCV with Practical Computer Vision Projects

Mastering OpenCV with Practical Computer Vision Projects

Daniel Lélis Baggio , Shervin Emami , David Millán Escrivá
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2012 · Inglés · Kindle · 2 editions
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Descripción

This book offers a hands-on approach to learning computer vision through a series of engaging projects. Each chapter is dedicated to a different project, guiding readers through the practical application of OpenCV tools. The authors, a team of experienced practitioners, break down complex concepts into manageable steps, ensuring that readers can easily follow along and implement their own solutions.

From beginner-friendly exercises to more advanced challenges, the projects cover a wide range of topics, allowing readers to progressively enhance their skills. The collaborative nature of the writing ensures diverse perspectives and techniques, making this a comprehensive guide for anyone eager to dive into the world of computer vision. By the end of this journey, readers will gain not only theoretical knowledge but also valuable hands-on experience, equipping them with the tools needed to tackle real-world computer vision problems.

Detalles del libro

Formato Kindle
Páginas 558 páginas
Idioma Inglés
Publicado Dec 3, 2012
Editorial Packt Publishing
Edición 1
Ediciones 2 editions
ISBN-10 1849517835
ISBN-13 9781849517836

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