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You're reading from OpenCV 4 Computer Vision Application Programming Cookbook Build complex computer vision applications with OpenCV and C++

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789340723

Length 494 pages

Edition 4th Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Authors (2):

Robert Laganiere

David Millán Escrivá

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Table of Contents (17) Chapters

Preface

1. Playing with Images FREE CHAPTER

2. Manipulating the Pixels

3. Processing Color Images with Classes

4. Counting the Pixels with Histograms

5. Transforming Images with Morphological Operations

6. Filtering the Images

7. Extracting Lines, Contours, and Components

8. Detecting Interest Points

9. Describing and Matching Interest Points

10. Estimating Projective Relations in Images

11. Reconstructing 3D Scenes

12. Processing Video Sequences

13. Tracking Visual Motion

14. Learning from Examples

15. OpenCV Advanced Features

16. Other Books You May Enjoy

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Enabling Halide to improve efficiency

Halide is a new programming language written for high-performance image processing on new computers. Halide currently targets the following:

CPU architectures: X86, ARM, MIPS, Hexagon, and PowerPC
Operating systems: Linux, Windows, macOS, Android, iOS, and Qualcomm QuRT
GPU Compute APIs: CUDA, OpenCL, OpenGL, OpenGL Compute Shaders, Apple Metal, and Microsoft Direct X 12

In this recipe, we are going to show how to compile OpenCV with Halide and how to enable it in your DNN algorithms.

How to do it...

To enable Halide in OpenCV, follow these steps. It will take a while to compile it all:

Download and unpack the LLVM source code from http://releases.llvm.org/4.0.0/llvm-4.0.0.src.tar.xz...

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Authors (2)

Millán Escrivá

David Millán Escrivá was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politécnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0.96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision.

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Robert Laganiere

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author’s website at laganiere.name.

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