A practical introduction to the world of machine learning and image processing using OpenCV and Python
Learn the core concepts of the OpenCV and Machine Learning
OpenCV Object Recognition: Harness Deep Learning in OpenCV
Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs
Discover how to build advanced OpenCV3 projects with Python
An expert’s guide to build computer vision applications
Blend the power of Qt with OpenCV to build cross-platform computer vision applications
Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.
Master the art of creating practical end-to-end projects using OpenCV’s powerful computer vision applications
Boost your knowledge of Computer Vision and image processing by developing real-world projects in OpenCV 3.
This video helps you to get started with the OpenCV library, and shows you how to install and deploy it to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented.
Machine Learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you will start exploring various algorithms such as decision trees, support vector machines, and Bayesian networks, and learn how to combine them with other OpenCV functionality. As the book progresses, so will your Machine Learning skills, until you are ready to take on today’s hottest topic in the field: Deep Learning.
This video will arm you with the basics you need to start writing world-aware applications right from the pixel level all the way through to processing video sequences.
This video will help you tackle increasingly challenging computer vision problems that you may face in your job. We make use of OpenCV 3 to work around some interesting projects.
This video helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and display images. It also introduces the basic OpenCV data structures.
This course provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image analysis that will enable you to build your own computer vision applications.
This book will put you straight to work in creating powerful and unique computer vision applications by diving into important aspects of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning.
This course is for developers who are new to OpenCV and want to develop computer vision applications with OpenCV in C++. A basic knowledge of C++ would be helpful.
OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program.
This course will help you enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3
This book provides the steps to build and deploy an end-to-end application in the domain of computer vision using OpenCV/C++.
This book aims to create a smooth learning path that will teach you to get started with OpenCV and OpenCV 3’s Python API, and develop computer vision applications from scratch to finish and more.
iOS Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision.
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.
Design, build and simulate complex robots using Robot Operating System and master its out-of-the-box functionalities!
If you are an Android developer and want to know how to implement vision-aware applications using OpenCV, then this book is definitely for you.
This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Readers are expected to be familiar with OpenCV’s concepts and Python libraries. Basic knowledge of Python programming is expected and assumed.
Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3.
This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python.
Intended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans that want to learn about what’s new in OpenCV 3, this book is useful as a reference for experts and a training manual for beginners, or for anybody who wants to familiarize themselves with the concepts of object classification and detection in simple and understandable terms.
If you are a Java developer, student, researcher, or hobbyist wanting to create computer vision applications in Java then this book is for you. If you are an experienced C/C++ developer who is used to working with OpenCV, you will also find this book very useful for migrating your applications to Java.
If you are a Java and Android developer looking to enhance your skills by learning the latest features of OpenCV Android application programming, then this book is for you.
Android Application Programming with OpenCV 3 is a practical, hands-on guide to computer vision and mobile app development. It shows how to capture, manipulate, and analyze images while building an application that combines photography and augmented reality.
Design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and OpenCV!
If you are a competent C++ programmer and want to learn the tricks of image processing with OpenCV, then this book is for you. A basic understanding of image processing is required.
For intermediate and advanced programmers, this book teaches a broad range of skills in computer vision, signal processing, and application development. Even experienced users of OpenCV will discover new ideas and techniques in the book’s projects.
Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library with this book.
The book provides an example-based tour of OpenCV’s main modules and algorithms, including the latest available in version 3.0. Starting with the setup and description of the library, this book teaches you how to add graphical user interface capabilities to OpenCV programs.
Emgu CV Essentials is a practical guide to the Emgu CV library, a .Net wrapper for the OpenCV image processing library. The main features and code samples are explained in order to give a better understanding of Emgu CV, with a wide variety of topics covered, from working with images and shape detection to creating a panorama from a series of images.
Android Application Programming with OpenCV is a practical, hands-on guide that covers the fundamental tasks of computer vision: capturing, filtering, and analyzing images-with step-by-step instructions for writing both an application and reusable library classes. Android Application Programming with OpenCV looks at OpenCV’s Java bindings for Android and dispels mysteries such as which version of these bindings to use, how to integrate with standard Android functionality for layout, event handling, and data sharing, and how to integrate with OpenGL for rendering.
The 6th chapter of this book is devoted to using OpenCV in ROS.
Instant OpenCV for iOS is a practical guide, showing every important step for building a computer vision application for the iOS platform. It will help you to port your OpenCV code, profile and optimize it, and then wrap into a GUI application. This book helps you to learn how to build a simple, but powerful computer vision application for the iOS devices from scratch.
This course will expose you to the key concepts of OpenCV and enable you to build your own computer vision applications. ‘OpenCV Computer Vision Application Programming’ allows you to dive into the world of computer vision and get many practical benefits from it with minimal effort.
Instant OpenCV Starter is a practical, hands-on guide that will help you understand the importance of computer vision in real life as well as the various different functions of the OpenCV library via small programming projects with simple, detailed explanations.
A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.
Detailed tutorials & full-source code for 9 projects (Augmented Reality, SfM, OCR, AAM & POSIT, 2D & 3D Face Tracking, Face Recognition, Kinect, Mobile), using C++ version of OpenCV 2.4.2 or newer. Latest code is available at https://github.com/MasteringOpenCV/code (Assumes you already know how to use OpenCV).
Over 90 highly-effective recipes to unleash your creativity with interactive art, graphics, computer vision, 3D, and more.
Cookbook application examples, C++ version of OpenCV 2.0.