Learn OpenCV 4 By Building Projects. Build real-world computer vision and image processing applications with OpenCV and C++ - Second Edition
- 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
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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Completely updated and revised edition of the bestselling guide to artificial intelligence, updated to Python 3.8, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, machine learning data pipelines, chatbots, Big Data, and more.-
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This book will present a variety of CV algorithms using the standard library. It will implement any shortfall that might come in CV by practicing the recipes that implement various tasks such as image processing and object recognition among others. It will help you in implementing CV algorithms to meet the technical requirement of your projects.-
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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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As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.This book will put you straight to work in creating powerful and unique computer vision applications.-
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Build real-world artificial intelligence apps to intelligently interact with the world around you, explore real-world scenarios, and discover the various algorithms that can be used to build AI applications. Packed with insightful examples and topics such as predictive analytics and deep learning, this book is a must-have for Python developers.-
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Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us.In the first module, Python Machine Learning Cookbook, you will learn how to-
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OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time.This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3’s Python API, and develop a comp-
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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
z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie.
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- Język publikacji:
- angielski
- Rozmiar pliku Pdf:
- 70.6MB
- Rozmiar pliku ePub:
- 75.2MB
- Rozmiar pliku Mobi:
- 114.1MB
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- Kategorie:
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