Ebook Practical OpenCV (Technology in Action), by Samarth Brahmbhatt
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Practical OpenCV (Technology in Action), by Samarth Brahmbhatt
Ebook Practical OpenCV (Technology in Action), by Samarth Brahmbhatt
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Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.
Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like Google (in its autonomous car), Intel, and Sony; and it is the backbone of the Robot Operating System’s computer vision capability. In short, if you're working with computer vision at all, you need to know OpenCV.
With Practical OpenCV, you'll be able to:
- Get OpenCV up and running on Windows or Linux.
- Use OpenCV to control the camera board and run vision algorithms on Raspberry Pi.
- Understand what goes on behind the scenes in computer vision applications like object detection, image stitching, filtering, stereo vision, and more.
- Code complex computer vision projects for your class/hobby/robot/job, many of which can execute in real time on off-the-shelf processors.
- Combine different modules that you develop to create your own interactive computer vision app.
- Sales Rank: #820174 in Books
- Published on: 2013-11-19
- Released on: 2013-11-20
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .55" w x 7.50" l, .94 pounds
- Binding: Paperback
- 244 pages
Most helpful customer reviews
9 of 10 people found the following review helpful.
A simple, concise and clear approach to OpenCV
By Rudra
Exactly what I needed!
I'm a hardcore MATlab user, and one of the few problems faced by people like me is computational time which is why I decided to shift to OpenCV.
I found this book to be extremely handy since a major portion of the book explains the programming with code, pictures and expected areas of failure. The best part is that the author has also provided sections on "Getting comfortable with OpenCV" and "Setting up OpenCV on your system". This makes things a whole easier. Let me tell you, installing OpenCV is a major blockade, and this book explains every single step in an orderly fashion.
Excellent job, Author, you have my thanks.
8 of 10 people found the following review helpful.
Very sloppy work. Not worth the cost.
By Tom
Very disappointed by this book. Way over priced for the amount of information presented. However, what really gets to me is that while one can download all the code presented in the book, you find that it is a complete mess.
I tried to use the code given in chapter 11 of the book (for the raspberry pi) and first found it was miss-labeled as chapter 10, and then not only was the "cap.h" header file missing but the code for the first example (i.e. code10-1.cpp - which should be code11-1.cpp) not only doesn't compile but it references the OpenCV VideoCapture interface and not the PiCapture.cpp code. I mean did anyone even look it over. Feel completely ripped off!
2 of 2 people found the following review helpful.
Very good cook book
By Andre L. B. Cunha
It's a very good cookbook. The author shows all the essencial in Computer Vision using OpenCV, specially installing it. There are a lot of code in book, it's awesome! I recommended this book to beginner and intermediate level.
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