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OpenCV 3.x with Python By Example

You're reading from   OpenCV 3.x with Python By Example Make the most of OpenCV and Python to build applications for object recognition and augmented reality

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Length 268 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Garrido Calvo Gabriel Garrido Calvo
Author Profile Icon Gabriel Garrido Calvo
Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Summary


In this chapter, you learned the concept of ANN. You also learned that one of its uses within the field of object recognition is the implementation of MLP, including the advantages and disadvantages of MLP against other machine learning strategies, such as SVM. Regarding ANN-MLP, you learned which layers form its structure and how to define and implement them to build an image classifier and then learned how to evaluate an MLP, training its robustness and accuracy.  And in the last section, we implemented an example of an MLP to detect an object in an unknown image.

Remember that the world of computer vision is filled with endless possibilities! This book is designed to teach you the necessary skills to get started on a wide variety of projects. Now it's up to you and your imagination to use the skills you have acquired here to build something unique and interesting.

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