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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

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998796
Length 202 pages
Edition 1st Edition
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Author (1):
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Dmitrijs Cudihins Dmitrijs Cudihins
Author Profile Icon Dmitrijs Cudihins
Dmitrijs Cudihins
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Table of Contents (11) Chapters Close

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 9. Assessments
10. Other Books You May Enjoy

Technical requirements

Running OpenCV, the OpenCV package, and the Cxx package in Julia has a number of prerequisites. The setup process is very smooth on Linux, has some downsides on macOS, and is close to impossible on Windows machines.

Windows 10 users are suggested for this task to use Julia from a Unix shell or Docker. A detailed step-by-step description on running Ubuntu Linux in Docker on Windows is described at https://tutorials.ubuntu.com/tutorial/tutorial-windows-ubuntu-hyperv-containers.

On top of preconfigured operating systems, users are required to have the following setup:

  • C++
  • OpenCV
  • Images, ImageView, Cxx, and maxruby/OpenCV packages installed

In order to install maxruby/OpenCV, navigate to package GitHub page at https://github.com/maxruby/OpenCV.jl and follow the installation instructions to first install Open CV and then the package.

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