Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications

开始时间: 08/01/2020 持续时间: Unknown

所在平台: Coursera

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大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/intel-openvino

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Welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications course! This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit. With the skills you acquire from this course, you will be able to describe the value of tools and utilities provided in the Intel Distribution of OpenVINO toolkit, such as the model downloader, model optimizer and inference engine. Who this class is for: This course is intended for learners with no prior experience with computer vision, although previous knowledge is helpful. This course is ideal for anyone interested in learning more about core concepts of computer vision applications and the Intel Distribution of OpenVINO toolkit. Estimated Workload: You should expect to allocate about 3 hours to complete this course. Learner pre-requisites: No prior knowledge of computer vision is necessary, although previous experience is helpful.

面向计算机视觉应用的OpenVINO™工具包的英特尔®发行版简介:欢迎来到面向计算机视觉应用的OpenVINO™工具包的英特尔®发行版课程! 通过本课程,可以轻松访问英特尔OpenVINO发行版工具包的基本概念。在整个课程中,将向您介绍演示,展示此工具包的功能。 借助您从本课程中学到的技能,您将能够描述OpenVINO英特尔分发版工具箱中提供的工具和实用程序的价值,例如模型下载器,模型优化器和推理引擎。 本课程的对象: 尽管以前的知识会有所帮助,但本课程面向没有计算机视觉经验的学习者。对于有兴趣学习更多有关计算机视觉应用程序的核心概念和Intel OpenVINO工具套件发行版的人员,本课程是理想的选择。 估计的工作量: 您应该分配大约3个小时来完成本课程。 学习者先决条件: 尽管以前的经验会有所帮助,但无需具备计算机视觉方面的知识。

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Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications

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