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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

Introduction to Python web frameworks

Python web frameworks (https://wiki.python.org/moin/WebFrameworks) provide a collection of packages that allow developers to focus on the core logic of the application rather than having to handle low-level details (for example, protocols, sockets or process, and thread management, among others). Furthermore, these frameworks can be categorized into full-stack and non-full-stack frameworks. Django and Flask are two popular web frameworks for Python, which we will discuss later on in this chapter:

The perfect example of a Full-stack frameworks is Django (https://www.djangoproject.com/), which is a free, open source, full-stack Python framework, trying to include all the necessary features by default, as opposed to offering them as separate libraries. Django makes it easier to create web applications, and requires less time than other frameworks...

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