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OpenCV 3 Computer Vision with Python Cookbook

You're reading from  OpenCV 3 Computer Vision with Python Cookbook

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Pages 306 pages
Edition 1st Edition
Languages
Authors (2):
Aleksei Spizhevoi Aleksei Spizhevoi
Profile icon Aleksei Spizhevoi
Aleksandr Rybnikov Aleksandr Rybnikov
Profile icon Aleksandr Rybnikov
View More author details
Toc

Table of Contents (11) Chapters close

Preface 1. I/O and GUI 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

Introduction

Computer vision algorithms consume and produce data—they usually take images as an input and generate features of the input, such as contours, points or regions of interest, bounding boxes for objects, or another images. So dealing with the input and output of graphical information is an essential part of any computer vision algorithm. This means not only reading and saving images, but also displaying them with additional information about their features.

In this chapter, we will cover basic OpenCV functionality related to I/O functions. From the recipes, you will learn how to obtain images from different sources (either filesystem or camera), display them, and save images and videos. Also, the chapter covers the topic of working with the OpenCV UI system; for instance, in creating windows and trackbars.

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OpenCV 3 Computer Vision with Python Cookbook
Published in: Mar 2018 Publisher: Packt ISBN-13: 9781788474443
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