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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

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Index

Chapter 1. Getting Started with JuliaImages

This chapter is all about introducing the JuliaImages collection. JuliaImages is a collection of different packages that are used for image processing. We will look into the Images.jl and ImagesMetadata.jl packages, load and preview images from various sources, read metadata, resize and scale images, create thumbnails, and save them back to disk in a different format.

In this chapter, we will cover the following topics:

Setting up Julia
Reading images from various sources
Saving images in different formats
Cropping, scaling, and resizing images
Rotating images
Using test images

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Hands-On Computer Vision with Julia

Published in: Jun 2018

Publisher: Packt

ISBN-13: 9781788998796

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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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