Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See

Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See
  • Paperback: 252 pages
  • Publisher: WOW! eBook (August 7, 2012)
  • Language: English
  • ISBN-10: 1449320368
  • ISBN-13: 978-1449320362
eBook Description:

Practical Computer Vision with SimpleCV

  • Capture images from several sources, including webcams, smartphones, and Kinect
  • Filter image input so your application processes only necessary information
  • Manipulate images by performing basic arithmetic on pixel values
  • Use feature detection techniques to focus on interesting parts of an image
  • Work with several features in a single image, using the NumPy and SciPy Python libraries
  • Learn about optical flow to identify objects that change between two image frames
  • Use SimpleCV’s command line and code editor to run examples and test techniques

Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See

SimpleCV is a cross platform (Windows, Macintosh, Linux) framework in Python that makes writing computer vision applications quick and easy. This book takes you through real world examples and applications using SimpleCV so that anyone, even with zero knowledge of computer vision, can use to create their own vision application in a few minutes with a webcam and PC. SimpleCV has its own integrated shell (command line) and code editor so you can rapidly test new techniques, load and run examples, view documentation, etc. The library also works with webcams, cell phones, the Xbox Kinect, and TI’s Beagle Board and Panda Board. There are 1-click installers for every platform, so you can be up and running any of the examples included in this book in a few minutes.

Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You’ll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional.

Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See

With this digital Early Release edition of Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See, you get the entire book bundle in its earliest form – the author’s raw and unedited content – so you can take advantage of this content long before the book’s official release. You’ll also receive updates when significant changes are made, as well as the final ebook version.

SimpleCV is a cross platform (Windows, Macintosh, Linux) framework in Python that makes writing computer vision applications quick and easy. This book takes you through real world examples and applications using SimpleCV so that anyone, even with zero knowledge of computer vision, can use to create their own vision application in a few minutes with a webcam and PC. SimpleCV has its own integrated shell (command line) and code editor so you can rapidly test new techniques, load and run examples, view documentation, etc. The library also works with webcams, cell phones, the Xbox Kinect, and TI’s Beagle Board and Panda Board. There are 1-click installers for every platform, so you can be up and running any of the examples included in this book in a few minutes.

Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You’ll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional.

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