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OpenCV 3.0.0 ( IPP & TBB enabled ) on Yocto with Intel® Edison with new Yocto image release

This article is a tutorial for setting up OpenCV 3.0.0 on Yocto with Intel® Edison. We will build OpenCV 3.0.0 on Edison Breakout/Expansion Board using a Windows/Linux host machine. In this article, we will enable Intel® Integrated Performance Primitives ( IPP ) and Intel® Threading Building Blocks ( TBB ) to optimize and parallelize some OpenCV functions. For example, cvHaarDetectObjects(...) , an OpenCV function that detects objects of different sizes in the input image, is parallelized with the TBB library. By doing this, we can fully utilize the dual-core of Edison.
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  • 使用Edison SDK + chroot 创建高性能应用

    英特尔软件技术助力提升性能

    英特尔® Edison 是一款功能强大的物联网平台,内置有双核 500MHz 凌动处理器。 部署英特尔软件技术有利于释放该平台更多的潜能。 下图所示为基于 Edison 的对比测 试,测试结果明确表明,使用英特尔优化的通用库和编译器软件技术可带来显著的性能优 势。 是不是迫不及待想在自己的 Edison 上尝试? 请查看 http://software.intel.com/zh-cn/intel-system-studio,并遵循本文的 下列步骤。

     

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  • Java vs C vs IPP vs TBB: test di performance su dispositivi Intel

    Di recente ci siamo trovati nella situazione di voler ottimizzare una nostra applicazione per la realta’ aumentata (http://picshare.jooink.com) su dispositivi mobile. Picshare e' interamente scritto in javascript ed essendo il nostro target quello di ottimizzarlo per dispositivi mobile la strada più naturale ci è sembrata quella di riscrivere nativamente parte degli algoritmi computazionalmente rilevanti e, con l’occasione, mettere a confronto diverse implementazioni ‘native’ al fine di capire quale strategia fosse preferibile.

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