opencv

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.
  • Développeurs
  • Professeurs
  • Étudiants
  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Unix*
  • Projet Yocto
  • Internet des objets
  • Windows*
  • C/C++
  • Avancé
  • Débutant
  • Intermédiaire
  • #inteledison
  • Intel Edison
  • Edison
  • Intel System Studio OpenCV
  • opencv
  • IPP
  • tbb
  • IPP OpenCV
  • TBB OpenCV
  • Données massives
  • Outils de développement
  • Gestion des périphériques
  • Éducation
  • Microprogramme
  • Processeurs Intel® Atom™
  • Internet des objets
  • Microcontrôleurs
  • Optimisation
  • Informatique parallèle
  • Parallélisation
  • 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。

     

  • Développeurs
  • Linux*
  • Projet Yocto
  • Internet des objets
  • C/C++
  • Intermédiaire
  • Intel® System Studio
  • Compilateur Intel® C++
  • Bibliothèque Intel® Integrated Performance Primitives (IPP)
  • IPP
  • TPP
  • icc
  • opencv
  • ISS
  • intel compiler
  • facedetection
  • performance
  • Processeurs Intel® Atom™
  • Internet des objets
  • Code source libre
  • Optimisation
  • Developing OpenCV based embedded application using Intel® System Studio

    When creating a signal or image processing application, code optimization is very important to ensure overall performances. An easy way to improve OpenCV* application performance on Intel Architecture is to re build using components of Intel® System Studio like Intel® C++ compiler and Intel® Integrated Performance Primitives (IPP), applications are accelerated by taking advantage of Streaming SIMD Extensions (SSE, SSE, SSE2, SSE3, SSSE3, SSE4, SSE4.1, SSE4.2, and Intel® AVX in latest) instructions.

  • Développeurs
  • Compilateur Intel® C++
  • Bibliothèque Intel® Integrated Performance Primitives (IPP)
  • Intel® System Studio
  • opencv
  • S’abonner à opencv