Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
A

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

Computer Vision
OpenCV C++ computer vision image processing machine learning object detection video analysis
Author
Adrian Kaehler & Gary Bradski
Publisher
O'Reilly Media
Year
2017
Language
English
104
Rate this book

To read the book, log in / register

Download code
Preview fragment

Similar books

Learning OpenCV 3 Computer Vision with Python Second Edition

Learning OpenCV 3 Computer Vision with Python Second Edition

Joe Minichino, Joseph Howse

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

Robert Laganière

Introducing C++: The Easy Way to Start Learning Modern C++

Introducing C++: The Easy Way to Start Learning Modern C++

Frances Buontempo

Learning Python: Powerful Object-Oriented Programming

Learning Python: Powerful Object-Oriented Programming

Mark Lutz

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Mayo Oshin, Nuno Campos

Learning Java: An Introduction to Real-World Programming with Java

Learning Java: An Introduction to Real-World Programming with Java

Marc Loy, Patrick Niemeyer, Daniel Leuck

Learning GitHub Actions: Automation and Integration of CI/CD with GitHub

Learning GitHub Actions: Automation and Integration of CI/CD with GitHub

Brent Laster

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Kerem Tomak

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

Sofien Kaabar

OpenCV: Computer Vision Projects with Python

OpenCV: Computer Vision Projects with Python

Joseph Howse, Prateek Joshi, Michael Beyeler