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Building OpenCV* 3.0-based embedded application using Intel® System Studio 2015

We describe how to use Intel® System Studio 2015 to build the OpenCV* 3.0-based embedded application on Intel platforms. In this paper, we have considered a sample code that is part of OpenCV, how to use different components of Intel® System Studio to build OpenCV sample code.
Автор: Последнее обновление: 13.12.2018 - 14:10
Article

Enabling Intel® IPP on OpenCV* (Windows* and Ubuntu*)

Instructions to set up the environment of IPP on OpenCV on Windows* or Linux* Ubuntu*.
Автор: JON J K. (Intel) Последнее обновление: 31.07.2019 - 14:30
Article

Accelerating Media, Video Transcoding, & Computer Vision: Which Tool Do I Use?

 

Автор: Brenda C. (Intel) Последнее обновление: 05.07.2019 - 11:14
Article

Code Sample: Use LibRealSense and OpenCV* to stream RGB and Depth Data

You can use LibRealSense and OpenCV* to stream RGB and depth data from your connected Intel® RealSense™ camera. This tutorial and code sample shows how to do this, based on the Ubuntu* operating system. In the end you will have a nice starting point where you use this code base to build upon to create your own LibRealSense / OpenCV applications.
Автор: Rick Blacker (Intel) Последнее обновление: 18.01.2018 - 16:13
Article

使用 LibRealSense 和 OpenCV 流传输 RGB 和深度数据

This article shows you how you can use LibRealSense and OpenCV to stream RGB and depth data. In the end you will have a nice starting point where you use this code base to build upon to create your own LibRealSense / OpenCV applications.
Автор: Rick Blacker (Intel) Последнее обновление: 18.01.2018 - 16:13
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Документация

Prerequisites в Intel's Deep Learning Deployment Toolkit Installation Guide

Последнее обновление: 18.05.2018 - 15:30
Документация
Документация

Using the GUI Installation Wizard в Intel's Deep Learning Deployment Toolkit Installation Guide

Последнее обновление: 18.05.2018 - 15:30
Документация

Using the Installation Script в Intel's Deep Learning Deployment Toolkit Installation Guide

To install the Deployment Tool using the installation script, run  install.sh  and follow the instructions:

Последнее обновление: 18.05.2018 - 15:28