https://www.coursera.org/learn/int-openvino/home/welcome
OpenVINO_coursera_Intermediate Following up with the previous one - Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications, this middle level course will take you deep dive into the OpenVINO™ inference engine.
This tutorial consists of two courses. In the first course, we will focus on learning to use the tool. We cover the various libraries and tools that you need to run inference. In the second course, we focus on the actual deployment and the discussion of strategies for deployment application.
Prerequisites (recommended): Python Programming, Computer Vision (OpenCV), Deep Learning, OpenVINO Basics.
Summary This repository briefly outlines the core concept of course subjected to, and includes the answer to course quizzes as well as lab practice for reference.
Bullet Points Introducing Intel® Distribution of OpenVINO:
To have a overview of OpenVINO toolkit, and recap its advantages including the support of common deep learning frameworks as well as capability to deploy to multiple hardware like GPU, VPU, and FPGA. Workflow of Intel® Distribution of OpenVINO Toolkit Usages:
A high-level walkthrough of OpenVINO workflow. View the block diagram as below.