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Mastering OpenCV 4 with Python

You're reading from  Mastering OpenCV 4 with Python

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Alberto Fernández Villán Alberto Fernández Villán
Profile icon Alberto Fernández Villán

Table of Contents (20) Chapters

Preface 1. Section 1: Introduction to OpenCV 4 and Python
2. Setting Up OpenCV 3. Image Basics in OpenCV 4. Handling Files and Images 5. Constructing Basic Shapes in OpenCV 6. Section 2: Image Processing in OpenCV
7. Image Processing Techniques 8. Constructing and Building Histograms 9. Thresholding Techniques 10. Contour Detection, Filtering, and Drawing 11. Augmented Reality 12. Section 3: Machine Learning and Deep Learning in OpenCV
13. Machine Learning with OpenCV 14. Face Detection, Tracking, and Recognition 15. Introduction to Deep Learning 16. Section 4: Mobile and Web Computer Vision
17. Mobile and Web Computer Vision with Python and OpenCV 18. Assessments 19. Other Books You May Enjoy

Deep learning overview for computer vision tasks

Deep learning added an impressive boost to the field of computer vision. In this section of the chapter, some key concepts are tackled in order to introduce you to the world of deep learning.

Deep learning characteristics

Deep learning has some key differences when compared with traditional machine learning approaches. Additionally, deep learning techniques surpass machine learning in many computer vision tasks, but some key considerations should be taken into account in order to know when to apply each technique to accomplish a certain computation task. All of these considerations are briefly summarized as follows:

  • Deep learning algorithms need to have a high-end infrastructure...
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