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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.
Authored by Last updated on 12/13/2018 - 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*.
Authored by JON J K. (Intel) Last updated on 12/12/2018 - 19:59
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.
Authored by Rick Blacker (Intel) Last updated on 01/18/2018 - 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.
Authored by Rick Blacker (Intel) Last updated on 01/18/2018 - 16:13
Documentation
Documentation

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

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

Last updated on 05/18/2018 - 15:28
Documentation

Legal Information from Intel's Deep Learning Deployment Toolkit Installation Guide

No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document.

Last updated on 05/18/2018 - 15:28