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OpenCV Computer Vision with Python [Kindle Edition]

Joseph Howse
2.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)

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Produktbeschreibungen

Kurzbeschreibung

In Detail

Computer Vision can reach consumers in various contexts via webcams, camera phones and gaming sensors like Kinect. OpenCV's Python bindings can help developers meet these consumer demands for applications that capture images, change their appearance and extract information from them, in a high-level language and in a standardized data format that is interoperable with scientific libraries such as NumPy and SciPy.

"OpenCV Computer Vision with Python" is a practical, hands-on guide that covers the fundamental tasks of computer vision—capturing, filtering and analyzing images—with step-by-step instructions for writing both an application and reusable library classes.

"OpenCV Computer Vision with Python" shows you how to use the Python bindings for OpenCV. By following clear and concise examples you will develop a computer vision application that tracks faces in live video and applies special effects to them. If you have always wanted to learn which version of these bindings to use, how to integrate with cross-platform Kinect drivers and and how to efficiently process image data with NumPy and SciPy then this book is for you.

Approach

A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.

Who this book is for

OpenCV Computer Vision with Python is written for Python developers who are new to computer vision and want a practical guide to teach them the essentials. Some understanding of image data (for example, pixels and color channels) would be beneficial. At a minimum you will need access to at least one webcam. Certain exercises require additional hardware like a second webcam, a Microsoft Kinect or an OpenNI-compliant depth sensor such as the Asus Xtion PRO.

Über den Autor und weitere Mitwirkende

Joseph Howse

Joseph (Joe) Howse is fanciful, so to him the virtual world always seemed to reach out into reality. One of his earliest memories is of watching an animated time-bomb on the screen of a Tandy Color Computer. The animation was programmed in BASIC by Joe's older brother, Sam, who explained, "I'm making a bomb. Get ready!" The bomb exploded in a rain of dots and a rumble of beeps as Joe and Sam ran to hide from the fallout. Today, Joe still fancies that a computer program can blast a tunnel into reality. As a hobby, he likes looking at reality through the tunnel of a digital camera's lens. As a career, he develops augmented reality software, which uses cameras and other sensors to composite real and virtual scenes interactively, in real time.

Joe holds a Master of Computer Science degree from Dalhousie University. He does research on software architecture as applied to augmented reality.

Joe works at Ad-Dispatch, an augmented reality company, where he develops applications for mobile devices, kiosks and the Web.

Joe likes cats, kittens, oceans and seas. Felines and saline water sustain him. He lives with his multi-species family in Halifax, on Canada's Atlantic coast.


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 1246 KB
  • Seitenzahl der Print-Ausgabe: 122 Seiten
  • Verlag: Packt Publishing (23. April 2013)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ISBN-10: 178216393X
  • ISBN-13: 978-1782163930
  • ASIN: B00CHMQ8L4
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Durchschnittliche Kundenbewertung: 2.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: #115.992 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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Die hilfreichsten Kundenrezensionen
2.0 von 5 Sternen so lala 28. Januar 2015
Format:Taschenbuch|Verifizierter Kauf
als ich das buch heute morgen in den haendne hielt war ich erst etwas geschockt ueber das unhandliche format, aber das war angegeben, ich hatte es nur uebersehen. angeboten wurde es dennoch als taschenbuch. also nichts zum lesen unterwegs.

aber nun zum eigentlichen:

gedruckt wrd es von amazon distribution in deutschland. qualitaet des drucks soweit ok.

von den tatsaechlichen 101 seiten inhalt bleiben nach abzug der erst 22 seiten installationsanleitungen auf mac/winsel und linux nicht mehr viel fuer den eigentlichen inhalt.

das buch ist weder ein python leergang noch eine referenz zu opencv, soviel hatte ich schon vorrausgesetzt.
es werden zwar viele themen angeschnitten, aber im detail ist man doch auf die recherche i netz angewiesen und stellt schnell fest das es dort wesentlich bessere referenzen und anleitungen gibt, die zudem auch aktueller sind.
die standard opencv python docu die man online finden kann hat mir da mehr gebracht.
viele seiten grosszuegiger sourcecode mit unzaehligen leerzeilen wird dem leser teils undokumentiert vorgesetzt.

die ersten 22 seiten des buches mit der anleitung stellen sich als wahrer wissensfundus dar, da einige kniffe und tricks erklaert werden um opencv am laufen zu kriegen.
die liebe zum detail und erklaerungsfreude laesst aber bei den ersten beispielen schnell nach. nach einer kurzen erklaerung folgt der source, und schon das naechste kapitel. vieles bleibt da i munklaren, was es mir als py anfaenger etwas schwer macht.

ps: ich habe bereits 3 opencv buecher verschlungen, 2 davon ebenfalls von packtpub - jedoch bezogen die sich auf das c++ interface.
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Amazon.com: 3.4 von 5 Sternen  8 Rezensionen
6 von 6 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen decent book 10. Mai 2013
Von rahul - Veröffentlicht auf Amazon.com
Format:Taschenbuch
I've been working with OpenCV with Python for about 2 years. I have developed some applications with Python using OpenCV. All of my knowledge has been self taught with respect to OpenCV with Python as there were no books covering Python API. Python API for OpenCV has come a long way since then. If you are looking to start with OpenCV with python this is a decent addition to your collection. Working with Python is great because of the speed of development. Many organizations use Python for prototyping their Computer Vision applications as most of the software written for scientific apps (written with Numpy and Scipy) can easily be combined with Python API for OpenCV. The "cv2" module of OpenCV is a great advancement compared to the old "cv" module and this module is covered in this book. If one compares this book with Packt's OpenCV C++ version you could see that a lot of stuff is missing(array manipulation, machine learning, etc). This is so because that missing content becomes equivalent of Numpy and other libraries but not OpenCV in Python API. Some of the other useful stuff in the book is training of haar cascades xml files (but that doesn't fall under Python specifically). Overall, I would give a 4.0/5.0 to this book.
3 von 3 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen OpenCV is non-trivial 8. Juni 2013
Von W Boudville - Veröffentlicht auf Amazon.com
Format:Taschenbuch
OpenCV is probably the most extensive open source graphics package and language out there on the net. So using it via Python coding is a natural need for some readers. The problem addressed by the text is that OpenCV is not the easiest of packages to learn to use in Python. (In case you wonder, it is not much easier in C++ or java either.) The extensiveness of chapter 1 in dealing with installing OpenCV on your computer is the first indication of its complexity.

The Python examples are deliberately in an object oriented style. Though given the necessarily brief nature of the examples, the author could have coding procedurally. Which style you adopt is largely up to you.

The text assumes that even if you have not used OpenCV in other contexts, you are at least conversant about key graphics ideas, like a CMV colour space. Or the alternate colour spaces of RGV and RC (which I have never used).

One nifty example which could appeal to some readers is the emulation of common types of photographic film, like the Fuji Provia and Velvia or the Kodak Portra. When you had to use those films, you were intrinsically stuck with the highlighting ranges of each. Nothing you could alter. Now it is remarkable how easy the book demonstrates about just toggling between each film, using the filters provided.

Another chapter of the book delves into using Haar filters, or cascades as it terms them. The idea of Haar filters is a key one in image manipulation. For this, you might need a more extensive text on graphics that gives a thorough exposition. The current text will quickly walk you through using them.
2 von 2 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen OpenCV with Python for beginers 23. Juni 2013
Von Luis Diaz Mas - Veröffentlicht auf Amazon.com
Format:Taschenbuch
If you have some experience with the Python programming language and your aim is start to use the OpenCV library for creating computer vision / image processing applications, this book is certainly a good start point.

The author focus the first chapter into explaining the several installation options that exists for the different platforms (Win, Mac, Linux). This is good since such a huge library has several ways to be installed, with the possibility of enabling/disabling some features. I can remember how I spent much time dealing with these kind of issues in my first contact with OpenCV some years ago.

In the rest of the chapters some of the basic key issues of the library are introduced to the readers in order to create a simple application which involves:

- Input / output features of the library (Dealing with images, videos, devices, etc.).
- Basic filtering and color-space conversions.
- Face tracking with Haar cascades classifiers.
- Depth information manipulation (depth sensors such as kinect).

All the code is designed using the Object oriented paradigm in order to be extensible and reusable. This is one of the things I more liked about this book, since many of the python examples (as well as C/C++ ones) provided by the OpenCV library are programmed like independent programs/scripts that could not be extensible.

The only negative point I can found in this book is its short content. I miss the explanation of some basic features/algorithms I use to employ daily when I'm working with OpenCV (in C++), but since the book is meant for beginners I can understand it.

It is important to note that this book assumes you have basic knowledge about Python programming.

Overall, I would give a 3.5/5.0 to this book.
1 von 1 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen don't waste money on this 13. Dezember 2013
Von DrWave - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
Complete waste of money. Very elementary. Very sparse book mostly about how to install opencv. Don't waste money on this book.Go on the internet and look the excellent tutorials by Abid K. Free and much more useful than this.
1 von 1 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Need more details 9. August 2013
Von Diego - Veröffentlicht auf Amazon.com
Format:Kindle Edition
And samples of course. The cascade training parts isn't clear enough. Besides, i suppose that the library is quite bigger than face recognition uses.
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