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.
Instructions to set up the environment of IPP on OpenCV on Windows* or Linux* Ubuntu*.
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.
Inference of Caffe* and TensorFlow* Trained Models with Intel’s Deep Learning Deployment Toolkit Beta 2017R3Installing Deployment Toolkit
Learn how to run computer vision inference faster on Intel Architecture using the Intel® Computer Vision SDK Beta R3. This tutorial will walk you through the process of generating the files needed for the Inference Engine from a Caffe model, and how to run the Inference Engine in a C++ application. The source code for this tutorial is available on GitHub.
Get all the code samples, documentation, and training you need to emulate human vision in this toolkit.
We are excited to announce the availability of the IEI Tank AIoT Developer Kit, with support for the Intel® Distribution