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

所在平台: Coursera

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

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课程名称:Intel® OpenVINO™工具包计算机视觉应用导论 课程概述: 欢迎来到Intel® OpenVINO™工具包计算机视觉应用导论课程!本课程提供对Intel OpenVINO工具包基本概念的简单访问。在整个课程中,您将通过演示了解该工具包的功能。 通过本课程所掌握的技能,您将能够描述Intel OpenVINO工具包中提供的工具和实用程序的价值,包括模型下载器、模型优化器和推理引擎等。 目标学员: 本课程适合没有计算机视觉经验的学习者,尽管具备预先知识会有所帮助。该课程非常适合任何希望了解计算机视觉应用核心概念及Intel OpenVINO工具包的人士。 预计工作量: 您预计需要约3小时来完成此课程。 学习者先决条件: 无需具备计算机视觉的先验知识,但有相关经验会更有帮助。 课程大纲:

名称:Intel® OpenVINO™工具包计算机视觉应用导论

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

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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.

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