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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
10. Other Books You May Enjoy

Predicting an image class using MobileNet V2

We have previously discussed how running Inception V3 gives us outstanding results on the ImageNet dataset, but sometimes the inference is considered to be slow. Meet MobiletNet V2, a neural networks architecture developed to deliver excellent results within a short period of time.

Setting up the environment

Unfortunately, MobileNet V2 is not present in the MXNet Model Zoo. We will use two different GitHub repositories to get the symbol, params, and synset files.

Firstly, please navigate to the KeyKy Mobile Net repository (https://github.com/KeyKy/mobilenet-mxnet) and download the following two files:

  • mobilenet_v2-0000.params
  • mobilenet_v2-symbol.json

Next, navigate to the MobileNet...

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