This is the code repository for Hands-On Computer Vision with Julia, published by Packt.
Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
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 covers the following exciting features:
- Analyze image metadata and identify critical data using JuliaImages
- Apply filters and improve image quality and color schemes
- Extract 2D features for image comparison using JuliaFeatures
- Cluster and classify images with KNN/SVM machine learning algorithms
- Recognize text in an image using the Tesseract library
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
using Images
sample_image_path = "sample-images/cats-3061372_640.jpg";
sample_image = nothing
if isfile(sample_image_path)
sample_image = load(sample_image_path);
else
info("ERROR: Image not found!")
end
Following is what you need for this book: Hands-On Computer Vision with Julia is for Julia developers who are interested in learning how to perform image processing and want to explore the field of computer vision. Basic knowledge of Julia will help you understand the concepts more effectively.
With the following software and hardware list you can run all code files present in the book (Chapter 1-9).
| Chapter | Software required | OS required |
|---|---|---|
| 1 - 9 | Julia 0.6.3 | Windows 7+, macOS 10.8+, Linux 2.6.18+, Ubuntu Linux 16.04 |
| 7 | MXNet 1.2.0 | Windows 7+, macOS 10.8+, Linux 2.6.18+, Ubuntu Linux 16.04 |
| 9 | Open CV 3.2.0 | macOS 10.8+, Linux 2.6.18++ GUI, Ubuntu Linux 16.04+(desktop version) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Dmitrijs Cudihins is a skilled data scientist, machine learning engineer, and software developer with more than eight years' commercial experience. His started off as a web developer, but later switched to data science and computer vision. He has been a senior data scientist for the last three years, providing consultancy services for a state-owned enterprise. There, he uses Julia to automate communication with citizens, applying different CV techniques and scanned image processing.
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