OpenVINO Toolkit - to look at the world with a clear look

Just yesterday, a new version of the Open Visual Inference & Neural Network Optimization (OpenVINO) toolkit (formerly Intel Computer Vision SDK) —a set of libraries, optimization tools, and information resources for developing software using machine vision and Deep Learning — was released. The goal of OpenVINO is to speed up the process of creating computer vision systems, providing programmers with an integrated development environment, as well as optimizing the code of these products, which requires large computational costs, for various hardware platforms (CPU, GPU, FPGA) of Intel.

Under the cut - a complete list of components OpenVINO Toolkit, a list of compatible hardware and useful links.

So, the following components are part of the OpenVINO Toolkit:
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• OpenCV libraries
• Runtime OpenVX
• Intel Deep Learning Deployment Toolkit (including Model Optimizer and pin mechanism)
• Compute Library for Deep Neural Networks (clDNN)
• Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN)
• Deep learning accelerator for FPGA
• Code examples, documentation and models

List of hardware platforms supported by the OpenVINO Toolkit:

• Intel Core processors from the 6th generation with Intel Iris Pro and Intel HD graphics
• Intel Xeon processors, starting from the 5th generation, with and without Intel Iris Pro and Intel HD graphics
• Intel Pentium N4200 / 5, N3350 / 5, N3450 / 5 Processors with Intel HD Graphics
• Intel Movidius Vision Processing Unit
• Intel Arria 10 FPGA GX development kit (special beta required)
• Intel Programmable Acceleration Card with Intel Arria 10 GX FPGA (special beta required)

Promised links:

• OpenVINO Toolkit introductory tour
• Learn more about hardware support.
• Download page

All components of the toolkit are absolutely free and, by the way, many of them are created by Russian Intel specialists.