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.
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.
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.
Digital displays and kiosks are all around you. You may have seen them cropping up at shopping centers and doctors’ offices.
OpenVINO™ 2018 R3 Release - Gold release of the Intel® FPGA Deep Learning Acceleration Suite accelerates AI inferencing workloads using Intel® FPGAs that are optimized for performance, power, and cost, Windows* support for the Intel® Movidius™ Neural Compute Stick, Python* API preview that supports the inference engine, Open Neural Network Exchange (ONNX) Model Zoo provides initial support for...