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Article

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

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
Article

Introduction to Developing and Optimizing Display Technology

Digital displays and signs are all around you. You may have seen them cropping up at shopping centers and doctors’ offices. From video walls, to AR fitting mirrors, to ordering menus, digital signs are pervasive and are becoming a part of everyday shopping experience.
Автор: Joseph B. (Intel) Последнее обновление: 29.01.2019 - 16:52
Article

Scaling for IoT Market Demands

Intel offers a range of hardware options for IoT deployments. Computing power progresses in order from the Intel Atom® processor,to the Intel® Core™ processor and finally to the Intel® Xeon® processor. As IoT demand drives increases in data volume, a more powerful processor is required, as well as additional storage.
Автор: Joseph B. (Intel) Последнее обновление: 10.07.2018 - 08:00
Article

Counting People: Use OpenCV* for Edge Detection

Learn how to use OpenCV* to count people using edge detection rather than using server farms.
Автор: Foster, Whitney (Intel) Последнее обновление: 31.05.2019 - 09:24
Article

Introduction to Smart Video Technologies from Intel

This paper addresses how the Smart Video (SV) system architecture is increasing in complexity and evolving into new industries and use cases.

Автор: Daniel H. (Intel) Последнее обновление: 29.01.2019 - 15:12
Article

Python* Code Samples for Video Analytics with OpenCV

In support of computer vision development efforts, we've created a GitHub* repository of twelve computer vision code samples. These code samples are a good starting point for developers who wish to develop more robust computer vision and analytic solutions. We use the Retail, Digital Signage market in these examples but the technology can be used in a variety of different markets.
Автор: Kevin R. (Intel) Последнее обновление: 10.07.2018 - 08:00
Видео

Visions of Clouds: Computer Vision at the Edge

In this video learn about the methods of running a computer vision application at the edge using OpenCV.

Автор: Последнее обновление: 10.07.2018 - 08:00