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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 2. Image Enhancement FREE CHAPTER 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

First steps with OpenCV

In the previous chapters, we have covered different Julia packages dedicated to image processing and used MXNet to develop and create neural networks.

Now we take a step aside and try using a different image processing solution available in Julia—OpenCV. OpenCV is a set of highly optimized functions that can be used simply in data and image preparation tasks, performing adjustment, and enhancement tasks, and for tasks such as face recognition, object detection, camera, and object movements.

We start by performing simple steps, such as image loading and executing examples, and proceed to neural network module. Be aware that because the OpenCV.jl package implements only a small fraction of Open CV functionality, you will primarily code in C++ and only expose the final results to Julia.

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