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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

You're reading from  Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Pages 372 pages
Edition 3rd Edition
Languages
Authors (2):
Joseph Howse Joseph Howse
Profile icon Joseph Howse
Joe Minichino Joe Minichino
Profile icon Joe Minichino
View More author details

Table of Contents (13) Chapters

Preface 1. Setting Up OpenCV 2. Handling Files, Cameras, and GUIs 3. Processing Images with OpenCV 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. Other Book You May Enjoy Appendix A: Bending Color Space with the Curves Filter

Summary

By now, we should have an application that displays a camera feed, listens for keyboard input, and (on command) records a screenshot or screencast. We are ready to extend the application by inserting some image-filtering code (Chapter 3, Processing Images with OpenCV) between the start and end of each frame. Optionally, we are also ready to integrate other camera drivers or application frameworks besides the ones supported by OpenCV.

We also possess the knowledge to manipulate images as NumPy arrays. This forms the perfect foundation for our next topic, filtering images.

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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
Published in: Feb 2020 Publisher: Packt ISBN-13: 9781789531619
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