OpenCV is a widely used framework for rapid computer vision development. This video shows how to get started with the inference engine, the API for inference capabilities in the OpenVINO™ toolkit, from the perspective of developers who know OpenCV. Learn how to convert images or frames in the OpenCV Mat format for use by inference, how to parse/display inference output, and how to convert OpenCV DNN code to the inference engine.
Power Pairing: OpenCV* & Inference Engine in the OpenVINO™ Toolkit
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.