Mastering OpenCV with Practical Computer Vision Projects

OpenCV 3.0 Computer Vision with Java 

by Daniel Lelis Baggio

OpenCV 3.0 Computer Vision with Java is a practical tutorial guide that explains fundamental tasks from computer vision while focusing on Java development. This book will teach you how to set up OpenCV for Java and handle matrices using the basic operations of image processing such as filtering and image transforms. It will also help you ...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2015

Raspberry Pi Computer Vision Programming 

by Ashwin Pajankar

This book will provide you with the skills you need to successfully design and implement your own Raspberry Pi and Python-based computer vision projects.From the beginning, this book will cover how to set up your Raspberry Pi for computer vision applications, exploring the basics of OpenCV, and how to design and implement real-life comput...

Price:  $24.99  |  Publisher:  Packt Publishing  |  Release:  2015

Computer Vision Projects with PyTorch 

by Akshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma

Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techni...

Price:  $49.99  |  Publisher:  Apress  |  Release:  2022

Mastering OpenCV 4, 3rd Edition 

by Roy Shilkrot, David Millan Escriva

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, land...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2018

Programming Computer Vision with Python 

by Jan Erik Solem

If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Pyth...

Price:  $22.50  |  Free ebook  |  Publisher:  O'Reilly Media  |  Release:  2012

Practical Computer Vision Applications Using Deep Learning with CNNs 

by Ahmed Fawzy Gad

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...

Price:  $43.34  |  Publisher:  Apress  |  Release:  2018

OpenCV 2 Computer Vision Application Programming Cookbook 

by Robert Laganiere

OpenCV 2 Computer Vision Application Programming Cookbook will introduce you to numerous computer vision algorithms included in the OpenCV library. You will learn how to read, write, create and manipulate images. You will explore different techniques commonly used in image analysis and how they can be effectively implemented in C++. The b...

Price:  $3.49  |  Publisher:  Packt Publishing  |  Release:  2011

3D Deep Learning with Python 

by Xudong Ma, Vishakh Hegde, Lilit Yolyan

With this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time.Complete with step-by-step explanations of essential concepts and practical examples, this book lets you explore and gain a thorough understanding of state-of-the-art 3D dee...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2022