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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
Author (1):
Abhinav Dadhich Abhinav Dadhich
Profile icon Abhinav Dadhich
Toc

Table of Contents (12) Chapters close

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

Libraries and installation

Before we begin, it is required that we install each library. There are two major methods of installing a library:

  • We download the source code and build binaries by compiling the code
  • We can directly download binaries and put them in relevant directories

While downloading pre-built binaries is a faster method, however, due to the difference of platforms or non-availability of binaries may force to build a library from source. If readers are using different OS then the mentioned in the following sections, they might come across such a situation. Once installed a library, it can be used with programs or other libraries.

Since it is crucial to have libraries that are not affected by other installations, we will be using Python-based environments in most of the book. This helps in keeping track of libraries installed and also separates different environment...

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