Make Great Computer Vision Apps with the OpenVINO™ Toolkit

This how-to video is an overview of the components and capabilities of Intel’s new Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit, and describes the inference engine, model optimization and deep learning capabilities that can help you get the most value from your platform. Learn how to derive valuable insights from your computer vision system and deliver efficient performance on a variety of target platforms.

Jeff McAllister, Senior Technical Consulting Software Engineer, Intel Corporation

Jeff is a senior technical consulting engineer in Intel’s developer products division with responsibility for solutions development across Intel’s computer vision software suite, including video processing, machine vision, GPU, and CUDA*. He has been with Intel since 2011. Jeff has been a lead contributor to Intel’s contributions to the OpenCV* code base and has been instrumental in delivering core improvements and upgrades to a variety of Intel software tools, including the Intel® Media SDK, the Intel® GO™ Automotive SDK, and the OpenVINO™ toolkit, and additional tools on heterogeneous hardware stacks. His graduate thesis focused on re-engineering large scientific legacy code bases. He holds a Masters of Science degree from the University of Alaska.

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