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Hands-On Computer Vision with Julia

You're reading from Hands-On Computer Vision with Julia Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788998796

Length 202 pages

Edition 1st Edition

Languages

Julia

Tools

MXNet

Concepts

Artificial Intelligence

Author (1):

Dmitrijs Cudihins

View More author details

Table of Contents (16) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

1. Getting Started with JuliaImages FREE CHAPTER

2. Image Enhancement

3. Image Adjustment

4. Image Segmentation

5. Image Representation

6. Introduction to Neural Networks

7. Using Pre-Trained Neural Networks

8. OpenCV

1. Assessments

2. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Chapter 8. OpenCV

OpenCV is the leading open source library for computer vision, developed over 18 years ago. Since then, it has been made available in any programming language, including Julia. OpenCV is known to be extremely fast, which makes it very effective for executing different processing and for use in real-time applications. We will use the OpenCV and the Julia package and make calls directly to the C++ API.

The following topics will be covered in this chapter:

Introduction to OpenCV
Usage of the OpenCV.jl package to call basic the OpenCV functions
Usage of the Cxx.jl package to call the OpenCV function
Object detection on images using OpenCV
Object tracking from videos using OpenCV

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Authors (1)

Dmitrijs Cudihins

Dmitrijs Cudihins

Dmitrijs Cudihins is a skilled data scientist, machine learning engineer and software developer with more than eight years of commercial experience. He started his career as a web-developer, but after a while switched to data science and computer vision. For the past three years, Dmitrijs is working as a Senior Data Scientist providing consultancy services for the state-owned enterprise, where he uses Julia to automate communication with citizens by applying different Computer Vision techniques, including photo and scanned image processing, neural network classification and text retrieval.

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