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 KinectFilter
image input so your application processes only necessary
informationManipulate images by performing basic arithmetic on
pixel valuesUse feature detection techniques to focus on
interesting parts of an imageWork with several features in a single
image, using the NumPy and SciPy Python librariesLearn about
optical flow to identify objects that change between two image
framesUse SimpleCV's command line and code editor to run examples
and test techniques
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