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    Practical Computer Vision with SimpleCV

Practical Computer Vision with SimpleCV

Demaagd
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      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.
      Format: Paperback / softback CONTRIBUTORS: Demaagd EAN: 9781449320362 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: O'Reilly Media DATE PUBLISHED: 2012-08-28 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Visualization WIDTH: 0 cm SPINE:

      Book Themes:

      Web programming

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      Kurt is VP of Operations at Ingenuitas, and was a co-founder of Slashdot. Anthony Oliver has worked in machine vision and robotics for 5 years with Big 3 automakers and other large manufacturers. He has written articles for Vision and Sensor Magazine, The online magazine H+, and given talks at Ignite Automotive and machine vision conferences. Nathan Oostendorp has 15 of experience on running open source communities, being one of the founders of the website "Slashdot", the site director for SourceForge and the creator of online communities PerlMonks and Everything2. Katherine Scott is a graduate student at Columbia University specializing in the field of computer vision, has several peer reviewed papers published in the field of Augmented Reality, and several years of work related history in vision systems.
      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.
      Format: Paperback / softback CONTRIBUTORS: Demaagd EAN: 9781449320362 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: O'Reilly Media DATE PUBLISHED: 2012-08-28 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Visualization WIDTH: 0 cm SPINE:

      Book Themes:

      Web programming

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      Kurt is VP of Operations at Ingenuitas, and was a co-founder of Slashdot. Anthony Oliver has worked in machine vision and robotics for 5 years with Big 3 automakers and other large manufacturers. He has written articles for Vision and Sensor Magazine, The online magazine H+, and given talks at Ignite Automotive and machine vision conferences. Nathan Oostendorp has 15 of experience on running open source communities, being one of the founders of the website "Slashdot", the site director for SourceForge and the creator of online communities PerlMonks and Everything2. Katherine Scott is a graduate student at Columbia University specializing in the field of computer vision, has several peer reviewed papers published in the field of Augmented Reality, and several years of work related history in vision systems.

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