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OpenCV 3 Computer Vision with Python Cookbook
OpenCV 3 Computer Vision with Python Cookbook

OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications

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Profile Icon Aleksei Spizhevoi Profile Icon Rybnikov
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€26.98 €29.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.3 (3 Ratings)
eBook Mar 2018 306 pages 1st Edition
eBook
€26.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Aleksei Spizhevoi Profile Icon Rybnikov
Arrow right icon
€26.98 €29.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.3 (3 Ratings)
eBook Mar 2018 306 pages 1st Edition
eBook
€26.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€26.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

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OpenCV 3 Computer Vision with Python Cookbook

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Key benefits

  • ? Build computer vision applications with OpenCV functionality via Python API
  • ? Get to grips with image processing, multiple view geometry, and machine learning
  • ? Learn to use deep learning models for image classification, object detection, and face recognition

Description

OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. OpenCV's convenient high-level APIs hide very powerful internals designed for computational efficiency that can take advantage of multicore and GPU processing. This book will help you tackle increasingly challenging computer vision problems by providing a number of recipes that you can use to improve your applications. In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. Then, we'll show you how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene. We’ll explore techniques to achieve camera calibration and perform a multiple-view analysis. Later, you’ll work on reconstructing a 3D scene from images, converting low-level pixel information to high-level concepts for applications such as object detection and recognition. You’ll also discover how to process video from files or cameras and how to detect and track moving objects. Finally, you'll get acquainted with recent approaches in deep learning and neural networks. By the end of the book, you’ll be able to apply your skills in OpenCV to create computer vision applications in various domains.

Who is this book for?

This book is for developers who have a basic knowledge of Python. If you are aware of the basics of OpenCV and are ready to build computer vision systems that are smarter, faster, more complex, and more practical than the competition, then this book is for you.

What you will learn

  • ? Get familiar with low-level image processing methods
  • ? See the common linear algebra tools needed in computer vision
  • ? Work with different camera models and epipolar geometry
  • ? Find out how to detect interesting points in images and compare them
  • ? Binarize images and mask out regions of interest
  • ? Detect objects and track them in videos

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 23, 2018
Length: 306 pages
Edition : 1st
Language : English
ISBN-13 : 9781788478755
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Intel
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What do you get with eBook?

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Product Details

Publication date : Mar 23, 2018
Length: 306 pages
Edition : 1st
Language : English
ISBN-13 : 9781788478755
Vendor :
Intel
Category :
Languages :
Tools :

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Table of Contents

10 Chapters
I/O and GUI Chevron down icon Chevron up icon
Matrices, Colors, and Filters Chevron down icon Chevron up icon
Contours and Segmentation Chevron down icon Chevron up icon
Object Detection and Machine Learning Chevron down icon Chevron up icon
Deep Learning Chevron down icon Chevron up icon
Linear Algebra Chevron down icon Chevron up icon
Detectors and Descriptors Chevron down icon Chevron up icon
Image and Video Processing Chevron down icon Chevron up icon
Multiple View Geometry Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.3
(3 Ratings)
5 star 33.3%
4 star 0%
3 star 33.3%
2 star 33.3%
1 star 0%
Lukáš Jun 14, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book with a lot of examples.
Subscriber review Packt
Uwe Jun 14, 2018
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Das Buch ist OK (also 5 Sterne): ein Buch mit einfachen Programmbeispielen, ohne die Algorithmen zu erläutern, eben ein "Kochbuch".Vielleicht liest der Verlag mit:Als Cookbook hat es der Autor leicht. Er schaut in die Opencv Dokumentation und überträgt die Beispiele. Die Theorie der Codes braucht er nicht herauszuarbieten.Den Preis finde ich unangemessen:250 Seiten, s/w Druck, auf fast jeder Seite der Hinweis, dass Opencv und Python installiiert sein soll ("Getting ready"). Alleine dies bläht das Volumen um fast 20% auf.Auch der Verweis auf die elektronische Version hilft wenig, wenn man in einem gedruckten Buch blättern möchte.Drei Sterne, um diesen Ärger hervorzuheben.
Amazon Verified review Amazon
EnryQuy Aug 13, 2018
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Il libro è interessante perchè riassume moltissime funzioni di OpenCV, e consente di farsi una idea abbastanza ampia sulle capacità, ma non ci sono assolutamente spiegazioni precise su come funzioni realmente OpenCV, e quindi come sfruttarlo, modificando le ricette proposte, per le proprie necessità. Per ogni spiegazione si rimanda al sito ufficiale di openCV, o a manuali più completi. Utile se si vuole fare copia incolla di codice, Totalmente inutile se si vuole approfondire le funzioni di OpenCV
Amazon Verified review Amazon
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