Keynotes

Intel® Distribution of OpenVINO™ toolkit: a case study of semantic segmentation


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Evgenii Vasilyev
Gleb Gladilov

We provide a detailed overview of the Intel® Distribution of OpenVINO™ toolkit.  We describe the toolkit components (Inference Engine, Model Optimizer, OpenCV, etc.), their capabilities and applications. The practical use of the OpenVINO™ toolkit is represented on the example of semantic segmentation problem. We consider step-by-step implementation of the problem solution based on deep learning approach. The Inference Engine component is used for high-performance inference of deep models. We demonstrate synchronous and asynchronous inference modes, and implement the first one.

Schedule

Introduction to the Intel® Distribution of OpenVINO ™ toolkit

(lecture, 1.5 hour)

Intel® Distribution of OpenVINO™ toolkit: a case study of semantic segmentation

(practice, 2 hours)

Hardware and software requirements

Hardware:

  • 3d generation of Intel® Core™ processors or higher

OS:

  • Ubuntu 16.04 or higher (LTS) 64-bit
  • Centos 7.4 or higher 64-bit
  • Microsoft Windows 10 64-bit

Software:

 

* If possible, tutorial organizers will provide an access to servers with preinstalled software. In this case, only Internet access is required.