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Learning OpenCV 3 Computer Vision with Python (Update)

You're reading from   Learning OpenCV 3 Computer Vision with Python (Update) Unleash the power of computer vision with Python using OpenCV

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785283840
Length 266 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Setting Up OpenCV FREE CHAPTER 2. Handling Files, Cameras, and GUIs 3. Processing Images with OpenCV 3 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Detecting and Recognizing Objects 8. Tracking Objects 9. Neural Networks with OpenCV – an Introduction Index

Summary


In this chapter, we scratched the surface of the vast and fascinating world of ANNs, focusing on OpenCV's implementation of it. We learned about the structure of ANNs, and how to design a network topology based on application requirements.

Finally, we utilized various concepts that we explored in the previous chapters to build a handwritten digit recognition application.

To boldly go…

I hope you enjoyed the journey through the Python bindings for OpenCV 3. Although covering OpenCV 3 would take a series of books, we explored very fascinating and futuristic concepts, and I encourage you to get in touch and let me and the OpenCV community know what your next groundbreaking computer-vision-based project is!

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