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New release: OpenVINO™ toolkit 2018 R2 available

The latest release of OpenVINO™ toolkit 2018 R2. Please feel free to share this news with customers.

New Features in the 2018 R2 update include:

  • 10 new pre-trained models for retail, pedestrian/vehicle detection, person attributes/emotion recognition, and more (for a total of 20 trained models in the download package)
  • Initial ONNX support for 8 models from ONNX Model Zoo
  • Windows* support for the Intel® Movidius™ Neural Compute Stick (Myriad™ 2)
  • OpenCV 3.4.2 features an accelerated deep neural network (DNN) module
  • Gold release of the Intel® FPGA Deep Learning Acceleration Suite for real-time AI, enabling CNN workloads.
  • Python* API [tech preview], which supports the inference engine
  • The Model Optimizer supports the Kaldi* framework - which imports speech models
  • Support for Gaussian mixture model and neural network accelerator, enabling offloading neural network inference for speech-related models


Learn more: /discussion/ Registration page > Free Download: Linux*, Windows*, Linux for FPGA

Background/About OpenVINO™ toolkit: The Open Visual Inference & Neural network Optimization (OpenVINO™) toolkit is a free software toolkit that helps fast-track development of high-performance computer vision and deep learning inference into vision applications. Its part of Intel's end-to-end vision solutions portfolio, and is optimized for multiple Intel® architectures (CPUs, CPUs with integrated graphics, Intel® FPGA, and Intel® Movidius™ VPUs). (This tool was also formerly known as Intel® Computer Vision SDK.)

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