Practical Computer Vision with SimpleCV

The Simple Way to Make Technology See

Nonfiction, Computers, Programming, Programming Languages
Cover of the book Practical Computer Vision with SimpleCV by Kurt Demaagd, Anthony  Oliver, Nathan Oostendorp, Katherine  Scott, O'Reilly Media
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Author: Kurt Demaagd, Anthony Oliver, Nathan Oostendorp, Katherine Scott ISBN: 9781449343835
Publisher: O'Reilly Media Publication: July 26, 2012
Imprint: O'Reilly Media Language: English
Author: Kurt Demaagd, Anthony Oliver, Nathan Oostendorp, Katherine Scott
ISBN: 9781449343835
Publisher: O'Reilly Media
Publication: July 26, 2012
Imprint: O'Reilly Media
Language: English

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.

  • 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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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