The Intel® Integrated Native Developer Experience (Intel® INDE) suite has been discontinued.
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.
Celebrating the FIRST EVER Global IoT DevFest! Registration is Still Open to Watch Replays! ATTENTION – There’s still time to sign up for the latest edition of our Intel Global IoT DevFest II on Nov 7-8th 2017.
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.
Intel updated its media software development tools, Intel® Media Server Studio, and Intel® Media SDK 2018 versions, used to optimize video solutions from camera to cloud. With these tools, media developers and video solution providers can speed video transcoding and streaming (live, OTT and VOD), cloud graphics and gaming, video conferencing, and video/image processing in their applications. The...
Select hardware accelerators from Intel for your computer vision application.