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Introduzione a Intel Perceptual Computing SDK: Face Detection

In questo articolo ci occuperemo di Face Detection ed in partcolare delle funzionalità messe a disposizione dal Perceptual Computing SDK.

Cosè il face detection

Face detection è una tecnologia informatica che determina le posizioni e le dimensioni di volti umani all'interno di immagini (o di video). La tecnologia rileva le caratteristiche facciali e ignora tutto il resto, come edifici, alberi, corpi.
Più in generale, Face Detection è un caso specifico della tecnologia che va sotto il nome di Object-Class Detection (dove la classe di oggetto è il volto umano).

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    I've recently installed everything that I thought would be necessary for developing a OpenCL application, but apparently I was wrong.  I have the necessary header files and the .dll files, but the .lib file that is required for the linking process for a C++ application is completely MIA.

    This is what I downloaded (free edition) and installed as per the website https://software.intel.com/en-us/intel-inde/try-buy

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    Background

    The whole point of simulation is to model the behavior of a design and potential changes against various conditions to determine whether we are getting an expected response; and simulation in software is far cheaper than building hardware and performing a physical simulation and modifying the hardware model each time.

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    While GraphX provides nice abstractions and dataflow optimizations for parallel graph processing on top of Apache Spark*, there are still many challenges in applying it to an Internet-scale, production setting, e.g. graph algorithms and underlying frameworks optimized for billions of graph edges and 1000s of iterations. This presentation, will show our efforts in building real-world, large-scale graph analysis applications using GraphX for some of the largest organizations/websites in the world, including both algorithm level and framework level optimizations, e.g.

    More flexibility in kernel analysis (Code Builder, local sizes)

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