2nd Edition. — Apress, 2023. — 526 p. — eBook ISBN: 978-1-4842-9866-4. Covers developing AI-enabled computer vision applications, computer vision techniques, and best practices Gives line-by-line explanations of working code examples Explains training neural networks involving large numbers of images on cloud infrastructure Computer vision is constantly evolving, and this book...
Apress, 2020. — 467 p. — ISBN13: (electronic): 978-1-4842-5887-3. Apply computer vision and machine learning concepts in developing business and industrial applications ?using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code...
Packt Publishing, 2018. — 234 p. — ISBN: 978-1788297684. A practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing,...
Apress, 2018. — 90 p. Dive headfirst into Microsoft’s Computer Vision APIs through sample-driven scenarios! Imagine an app that describes to the visually impaired the objects around them, or reads the Sunday paper, a favorite magazine, or a street sign. Or an app that is capable of monitoring what is happening inside an area without human control, and then makes a decision based...
1st Edition. — O’Reilly Media, 2012 (August 9, 2012). — 254 p. — ISBN10: 1449320368, ISBN13: 978-1449320362. На англ. языке. Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for...
Independently Published, 2020. One of the most powerful and compelling types of AI is computer vision which you've almost surely experienced in any number of ways without even knowing. Here's a look at what it is, how it works, and why it's so awesome (and is only going to get better). Computer vision is the field of computer science that focuses on replicating parts of the...
Springer, 2023. — 391 p. — (Advances in Computer Vision and Pattern Recognition). — ISBN 978-981-99-4287-9. Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity...
Apress, 2019. — 405 p. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial...
Independently published, 2024. — 117 р. "Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python. Whether you're a...
Apress, 2020. - 247p. - ISBN: 9781484268209 Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security. You’ll learn the differences between supervised and...
Packt, 2023. — 401 p. Computer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models. You'll begin by exploring the...
Packt Publishing, 2018. — 310 p. — ISBN: 1788295625. Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks. Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous...
CreateSpace Independent Publishing Platform, 2016. — 123 p. — ISBN10: 151518370X. — ISBN13: 978-1515183709 Face recognition become very interesting topic of research because of lot of unsolved parameters. From past few decades number of researchers work on the topic to solve the problem of face recognition but still successful face recognition system is not yet implemented...
Apress, 2021. - 329p. - ISBN: 9781484266151 Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning...
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