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Practical Computer Vision

You're reading from Practical Computer Vision

Product type Book

Published in Feb 2018

Publisher Packt

ISBN-13 9781788297684

Pages 234 pages

Edition 1st Edition

Languages

Concepts

Computer Vision

Author (1):

Abhinav Dadhich

Table of Contents (12) Chapters

Preface

1. A Fast Introduction to Computer Vision

2. Libraries, Development Platform, and Datasets

3. Image Filtering and Transformations in OpenCV

4. What is a Feature?

5. Convolutional Neural Networks

6. Feature-Based Object Detection

7. Segmentation and Tracking

8. 3D Computer Vision

9. Mathematics for Computer Vision

10. Machine Learning for Computer Vision

11. Other Books You May Enjoy

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Datasets and libraries used

In this chapter, we will be using Keras to write neural nets with TensorFlow as backend. A detailed installation procedure is explained in Chapter 2, Libraries, Development Platforms and Datasets. To check if you have Keras installed, in shell run:

python -c "import keras;print(keras.__version__)"

This will print the Keras version as well as which backend you are using. If you have TensorFlow installed and Keras is using TensorFlow, it will print using Tensorflow backend. If you have an older version of Keras and TensorFlow, there might be some issues, so please install or upgrade to the latest versions. We will also be using other libraries like NumPy and OpenCV.

We will be using the Fashion–MNIST dataset by Zalando SE which is available at https://github.com/zalandoresearch/fashion-mnist. This can be downloaded directly with Keras...

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Authors (1)

Abhinav Dadhich

Abhinav Dadhich is a Researcher and Application Developer on deep learning at Abeja Inc. Tokyo. His day is often filled with designing deep learning models for computer vision applications like image classification, object detection, segmentation etc. His passion lies in understanding and replicating human vision system. Previously, he has worked on 3D mapping and robot navigation. He has graduated with B.Tech. in EE from IIT Jodhpur, India and has done his M.Eng. in Information Science from NAIST, Japan. He puts up notes and codes for several topics on GitHub profile.

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