OpenCV By Example. Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça
- Autorzy:
- Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça
- Wydawnictwo:
- Packt Publishing
- Ocena:
- Stron:
- 296
- Dostępne formaty:
-
PDFePubMobi
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OpenCV By Example. Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3
Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation.
Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects.
Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch.
By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects.
Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch.
By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
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Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça - pozostałe książki
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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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With this book, you will learn how to perform various machine learning tasks in different environments. You’ll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms using complex datasets and optimized techniques.-
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This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. By taking this Learning Path, you will be able to work on complex projects that involves image processing, motion detection, and image segmentation.-
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Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.-
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OpenCV is mainly used in Computer Vision and image processing and is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. This book will be your guide to understanding the basic OpenCV concepts and algorithms.-
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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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Szczegóły książki
- Tytuł oryginału:
- OpenCV By Example. Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3
- ISBN Ebooka:
- 978-17-852-8707-7, 9781785287077
- Data wydania ebooka :
-
2016-01-22
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