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OpenCV 4 with Python Blueprints: Build creative compute - NEW Dr. Menua Gevor 2

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Last updated on 17 Apr, 2025 08:18:57 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Weight
721
Subjects
N/A
Pages
366 Pages
Size
H:93mm, W:
Topic
Unknown
Book Title
OpenCV 4 with Python Blueprints: Build creative computer vision
ISBN
9781789801811
Publication Year
2020
Type
Textbook
Format
Paperback
Language
English
Publication Name
OpenCV 4 with Python Blueprints: Build creative computer vision projects with the latest version of OpenCV 4 and Python 3, 2nd Edition
Item Height
93 mm
Author
Dr. Menua Gevorgyan, Michael Beyeler, Arsen Mamikonyan
Publisher
Packt Publishing
Subject
Computer Science
Item Width
75 mm
Number of Pages
366 Pages

About this product

Product Information

Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key Features Understand how to capture high-quality image data, detect and track objects, and process the actions of animals or humans Implement your learning in different areas of computer vision Explore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented reality Book DescriptionOpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You'll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you'll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you'll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you'll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs. What you will learn Generate real-time visual effects using filters and image manipulation techniques such as dodging and burning Recognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Learn feature extraction and feature matching to track arbitrary objects of interest Reconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniques Detect faces using a cascade classifier and identify emotions in human faces using multilayer perceptrons Classify, localize, and detect objects with deep neural networks Who this book is forThis book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.

Product Identifiers

Publisher
Packt Publishing
ISBN-13
9781789801811
eBay Product ID (ePID)
6046571796

Product Key Features

Publication Year
2020
Subject
Computer Science
Number of Pages
366 Pages
Language
English
Publication Name
OpenCV 4 with Python Blueprints: Build creative computer vision projects with the latest version of OpenCV 4 and Python 3, 2nd Edition
Type
Textbook
Author
Dr. Menua Gevorgyan, Michael Beyeler, Arsen Mamikonyan
Format
Paperback

Dimensions

Item Height
93 mm
Item Width
75 mm

Additional Product Features

Country/Region of Manufacture
United Kingdom
Title_Author
Arsen Mamikonyan, Michael Beyeler, Dr. Menua Gevorgyan

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