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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
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Object detection using MobileNet-SSD

We will be using MobileNet-SSD network to detect objects such as cats, dogs, and cars in a photo. A combination of MobileNet and SSD gives outstanding results in terms of accuracy and speed in object detection activities. At the end of the section, you will be able to generate images containing bounding box and name of the object:

We always start the same, by loading Julia packages and defining path to opencv.pc:

ENV["PKG_CONFIG_PATH"] = "/Users/dc/anaconda/envs/python35/lib/pkgconfig"

using OpenCV
using Images, ImageView
using Cxx

The moment Julia packages are defined, we proceed to writing C++ code. Remember that C++ code is encapsulated within special syntax, as follows:

cxx"""
<<C++ code goes here>>
"""

The first thing when starting to write code in C++ is to add all prerequisites...

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