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200 10$aOpenCV computer vision with Python $elearn to capture videos, manipulate images, and track objects with Python using the OpenCV library /$fJoseph Howse
210   $aBirmingham, England $cPackt Publishing$dc2013
215   $a1 online resource (122 p.) 
300   $aIncludes index.
311   $a1-78216-393-X 
327   $aSetting up OpenCV -- Handling files, cameras, and GUIs -- Filtering images -- Tracking faces with Haar cascades -- Detecting foreground/background regions and depth -- Integrating with Pygame -- Generating Haar cascades for custom targets.
330   $aA practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.OpenCV Computer Vision with Python is written for Python developers who are new to computer vision and want a practical guide to teach them the essentials. Some understanding of image data (for example, pixels and color channels) would be beneficial. At a minimum you will need access to at least one webcam. Certain exercises require additional hardware like a second webcam, a Microsoft Kinect or an OpenNI-compliant depth sensor such as the Asus Xtion PRO.
606   $aComputer vision
606   $aOperating systems (Computers)
606   $aPython (Computer program language)
615  0$aComputer vision.
615  0$aOperating systems (Computers)
615  0$aPython (Computer program language)
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996   $aOpenCV computer vision with Python$94390170
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