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Mastering OpenCV 4 with Python
Mastering OpenCV 4 with Python

Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

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Mastering OpenCV 4 with Python

Section 1: Introduction to OpenCV 4 and Python

In this first section of the book, you will be introduced to the OpenCV library. You will learn how to install everything you need to start programming with Python and OpenCV. Also, you will familiarize yourself with the general terminology and concepts to contextualize what you will learn, establishing the foundations you will need in order to grasp the main concepts of this book. Additionally, you will start writing your first scripts in order to get to grips with the OpenCV library, and you will also learn how to work with files and images, which are necessary for building your computer vision applications. Finally, you will see how to draw basic and advanced shapes using the OpenCV library.

The following chapters will be covered in this section:

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Key benefits

  • Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and Python
  • Apply machine learning and deep learning techniques with TensorFlow and Keras
  • Discover the modern design patterns you should avoid when developing efficient computer vision applications

Description

OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands.

What you will learn

Handle files and images, and explore various image processing techniques Explore image transformations, including translation, resizing, and cropping Gain insights into building histograms Brush up on contour detection, filtering, and drawing Work with Augmented Reality to build marker-based and markerless applications Work with the main machine learning algorithms in OpenCV Explore the deep learning Python libraries and OpenCV deep learning capabilities Create computer vision and deep learning web applications

Product Details

Country selected

Publication date : Mar 29, 2019
Length 532 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789344912
Vendor :
Intel
Category :
Languages :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Mar 29, 2019
Length 532 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789344912
Vendor :
Intel
Category :
Languages :

Table of Contents

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

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