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Raspberry Pi Computer Vision Programming, by Ashwin Pajankar
Download Raspberry Pi Computer Vision Programming, by Ashwin Pajankar
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Design and implement your own computer vision applications with the Raspberry Pi
About This Book- Explore the vast opportunities of computer vision with the Raspberry Pi and Python
- Design and develop webcam and Raspberry Pi based applications
- The book features ample screenshots that will offer a play-by-play account on how to implement computer vision fundamentals and applications
This book is intended for novices, as well as seasoned Raspberry Pi and Python enthusiasts, who would like to explore the area of computer vision. Readers with very little programming or coding/scripting experience can create wonderful image processing and computer vision applications with relatively fewer lines of code in Python.
What You Will Learn- Set up your Raspberry Pi and master computer vision with OpenCV
- Work with images, videos, webcams, the Pi camera, and create amazing timelapse videos
- Blend images and create artistic effects such as image transitioning
- Transform images, change colorspaces, and track objects based on colors
- Use various high- and low-pass filters to remove noise from the image
- Find contours and segments in images and detect edges, lines, and circles
- Install another simple yet powerful library, SimpleCV, and with its help create real-life applications
This book will provide you with the skills you need to successfully design and implement your own Raspberry Pi and Python-based computer vision projects.
From the beginning, this book will cover how to set up your Raspberry Pi for computer vision applications, exploring the basics of OpenCV, and how to design and implement real-life computer vision applications on your own. By sequentially working through the steps in each chapter, you will quickly be able to master the features of OpenCV. In the end of the book, you will also be introduced to SimpleCV, which is another powerful computer vision library for Python. Featuring plenty of coding examples and exercises, this book offers you an unparalleled learning experience.
- Sales Rank: #477708 in Books
- Published on: 2015-05-29
- Released on: 2015-05-28
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .41" w x 7.50" l, .70 pounds
- Binding: Paperback
- 168 pages
About the Author
Ashwin Pajankar
Ashwin Pajankar is a Bangalore-based software professional with more than 5 years of experience in software design, development, testing, and automation. He graduated from IIT Hyderabad with an MTech degree in computer science and engineering. He holds multiple professional certifications from Oracle, IBM, Teradata, and ISTQB in development, databases, and testing. Apart from work, he enjoys serving the community. He has won several awards in college through college outreach initiatives and at work for community service through his employers for corporate social responsibility programs. He was introduced to the Raspberry Pi while organizing a hackathon at his workplace, and he's been hooked on to Pi ever since. He writes plenty of code in Bash, Python, and Java on his cluster of Pi. Currently, he's building India's biggest cluster of the recently launched Raspberry Pi 2. He's reviewed two other titles related to Python from Packt and is working on another book on Raspberry Pi. You can view Ashwin's LinkedIn profile by visiting in.linkedin.com/in/ashwinpajankar.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Good introduction to image processing but lacking in clear instructions ...
By Jean J
Good introduction to image processing but lacking in clear instructions as to how to install OpenCV on the Raspberry Pi. The speciific modules that need to be installed are not explained in detail. This is a key detail the author did not address so that a newbee to Linux could follow his directions and start running Open CV. I had to do research on Google to get the answers to this problem. One had hoped this text would provide the installation details and avoid hours of searching.
3 of 3 people found the following review helpful.
A useful and helpful book, but not for very beginners.
By James Robinson
I have bought many Packt books covering various topics in the past, and had very mixed feelings about this book.
Firstly it was very helpful in setting up OpenCV on the raspberry pi, which I had previously had a lot of trouble with before purchasing this book. After following the instructions of this book though, I was up and running without any problems.
One very annoying thing about this book was that it lists 72 packages to install, with instructions on how to install one package at a time. Nothing else. I imagine this would be a nightmare for a beginner with no experience with the linux command shell. BE WARNED! Find out how to install them all automatically...
In this sense, some parts of the book feel like it was lazily put together. Some chapters give a very gentle introduction to some concepts, while others go into a lot of detail, somewhat needlessly.
Nevertheless I found the book to be very helpful in setting up OpenCV the Pi and testing out some of the features. Other chapters I didn't bother with. I would recommend this book to people who have some experience with the Pi, after buying the camera board, but not as a first project.
2 of 3 people found the following review helpful.
Not much here
By salsaman
Overall this book needs work. The writing is poor, with bad punctuation and overly simple descriptions. The code examples are even worse, demonstrating poor style that makes it difficult to read, occasionally using reserved words for variable names. I recommend the editors have somebody make it pep8-compliant for the next release.
The setup and installation instructions in chapter 1 are sloppy and clearly not tested. The book instructs you to install 72 different packages "one-by-one", two of which are no longer valid and one of which-- "python-opencv" itself-- it instructs you to install again after the list of 72 packages. A shell script in a Github repository or a wget-able location would make this simple. In its current state, it's tedious.
The examples are straightforward but are offered without much commentary. Much of the book is filled with unnecessarily large images. Some examples use images not included in the example image repositories!
Over all, it is an adequate introduction to some basic image processing methods but only explores a few (very simple) computer vision topics.
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