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Hands-On Computer Vision with Julia

Hands-On Computer Vision with Julia

By : Dmitrijs Cudihins
4 (1)
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Hands-On Computer Vision with Julia

Hands-On Computer Vision with Julia

4 (1)
By: Dmitrijs Cudihins

Overview of this book

Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it’s easy to use and lets you write easy-to-compile and efficient machine code. . This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You’ll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you’ll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease.
Table of Contents (11 chapters)
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Assessments

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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