Practical Computer Vision with SimpleCV
The Simple Way to Make Technology See
Publisher: O'Reilly Media
Released: July 2012
Pages: 254

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
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oreillyPractical Computer Vision with SimpleCV
 
5.0

(based on 3 reviews)

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      5.0

      OpenCV too much to handle? Try this~

      By pashakun

      from Tokyo, Japan

      About Me Maker

      Verified Buyer

      Pros

      • Easy to understand
      • Helpful examples
      • Well-written

      Cons

        Best Uses

          Comments about oreilly Practical Computer Vision with SimpleCV:

          There is so much going with Computer Vision these days, Open Kinect, Google car, the New Aesthetic, etc. It's understandable that non-technical people would like to give it a try.

          SimpleCV is in Python, which makes it very approachable and a great way for the beginners to work with the language. All you need is a basic grasp of the code and a USB camera and you're off seeing like machines do!

          Software installation can be tricky, and the book is of little help there. Understandably, since it's a moving target. But it's well worth the effort.

          (4 of 4 customers found this review helpful)

           
          5.0

          Review of Computer Vision with SimpleCV

          By hfb

          from Nashua, NH

          Verified Reviewer

          Pros

          • Easy to understand
          • Helpful examples

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            • Novice

            Comments about oreilly Practical Computer Vision with SimpleCV:

            I have always been interested in doing a little image processing for robotics and just messing around with a Kinect and a few other things. I didn't quite know where to start but this really gives you a good foundation to new world of computer vision.
            We begin with a really basic introduction to what computer vision is and then move on to the SimpleCV framework. A lot of other basics are covered, which is very nice, and then you move on to more important subjects such as feature detection by finding blobs. It finished with a few, more advanced concepts, which I'm still wrapping my head around.
            It doesn't go into a lot of deep topics but it's good for jumping in to computer vision and I would definitely recommend it to anyone interested in this field as a way to get started easily.

            Disclaimer: This book was received as part of the O'Reilly Blogger Review Program. All comments represent my thoughts and opinions.

            (6 of 6 customers found this review helpful)

             
            5.0

            A good intro to CV

            By datopdog

            from Johannesburg, RSA

            About Me Developer, Sys Admin

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            • Concise
            • Easy to understand
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            • Well-written

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              Comments about oreilly Practical Computer Vision with SimpleCV:

              A practical guide to get you started in the field of computer vision, this book is pitched to a wide range of readers from the basic enthusiast to professionals seeking to develop applications that use computer vision.

              From introducing the concepts behind computer vision to actual practical implementation of these concepts from the simple to the more complex concepts like tracking of moving objects.

              All the sample code is written Python using the SimpleCV framework which wraps the OpenCV, NumPy and SciPy libraries. The examples are well thought out and documented. The appendices include day to day use cases for the use of computer vision.

              Computer vision applications are on the rise, with line checking cars, driverless cars, number plate recognition, people tracking in the mainstream or on the horizon this book is highly recommended to get you started.

              I highly recommend you get yourself a copy, even if its just a small thank you to the authors for the work they put into working on this open source project.

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