FREE E-BOOK Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning



Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning





FREE E-BOOK Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning
FREE E-BOOK Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning



Author (s): Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler

Publisher: Packt Publishing, Year: 2020


Describe:


This updated e-book, updated for OpenCV four and Python 3, is nowadays updated on deep cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve fantasy and fantasy problems in your laptop in the real world using a realistic code .

Feature guides

Build effective computer, fictional, and computer functions in short code with OpenCV four and Python 3.

• Learn the basic criteria for image processing, object classification, and 2D and 3D tracking.

• Train, use, and familiarize yourself with the desktop to gain knowledge of fashion such as vector support devices (SVMs) and neural networks.


Explanation of the book


Computer vision is a science that is developing unexpectedly and includes many functions and technologies. This eBook now will not help those who have started using the imaginative and clear laptop but in addition to the professionals in the field. You'll be able to put your idea into action with the help of building apps with OpenCV four and Python 3.


You will start by understanding OpenCV Four and how to set it up using Python three on a host of platforms. Next, you will study how to perform basic operations such as reading, writing, manipulating and nonetheless viewing pictures, videos, and digital camera feeds. By taking you through image processing, video analysis, depth and segmentation appreciation to help you achieve the exercise with the help of creating a graphical user interface application, this e-book ensures that you have the potential for practical activities.


 Next, you'll address two popular challenges: face detection and facial recognition. You will also examine about object classification and desktop acquisition knowledge of concepts, which will allow you to create and use object and workbook detectors, and even musical objects in movies or digital video camera feeds. Later, you will increase your capabilities in 3D monitoring and augmented reality. Finally, you can manage ANNs and DNNs, and learn how to enhance apps to learn about handwritten numbers and sex and age rating of a person.

Upon finishing this book, you may have the capabilities you want to carry out real-world fantasy and fantasy projects for your laptop in the real world.



What will you learn


• Install and familiarize yourself with the three OpenCV 4 Python links.

Understand the basics of image processing and video evaluation.

• Use a depth camera to distinguish past front and historical areas.

• Detect and perceive objects, and their motion song in videos.

• Train and use personal fashions to fit pictures and categorize objects.

Detecting and understanding faces and classification of their gender and age.

• Build augmented reality program for an image song in 3D.

• Working with computing device study models, consisting of SVMs, artificial neural networks (ANNs), and deep neural networks (DNNs).


Whose is this e-book?


If you are fond of studying laptop vision, laptop learning, and OpenCV in the context of real-world applications, then this e-book is for you. In addition, this OpenCV e-book will also be useful for everyone who starts to use the virtual and conscious computer properly like the professionals who prefer to keep updating with OpenCV four and Python three despite having no prior knowledge of image processing and the imaginative and clear laptop or recognition On a laptop computer is required, familiarity with simple Python programming is a must.