OpenVINO Beginner: Building a Crossroad AI Camera
Offered By: Intel via Coursera
Course Description
Overview
In this 2-hour long project-based course, you will learn how to Build a Crossroad AI Camera:
Learning Objective 1: By the end of Task 1, you will be able to explain the OpenVINO™ Toolkit Workflow and OpenVINO™ Toolkit Components
Learning Objective 2: By the end of Task 2, you will be able to operationalize models using the Model Downloader utility
Learning Objective 3: By the end of Task 3, you will be able to perform Model Preparation, Conversion and Optimization
Learning Objective 4: By the end of Task 4, you will be able to Running and Tuning Inference
Learning Objective 5: By the end of Task 5, you will be able to create visualization of Person Attributes and Person Re-identification (REID) information for each detected person in an Image/Video/Camera input.
Learning Objective 1: By the end of Task 1, you will be able to explain the OpenVINO™ Toolkit Workflow and OpenVINO™ Toolkit Components
Learning Objective 2: By the end of Task 2, you will be able to operationalize models using the Model Downloader utility
Learning Objective 3: By the end of Task 3, you will be able to perform Model Preparation, Conversion and Optimization
Learning Objective 4: By the end of Task 4, you will be able to Running and Tuning Inference
Learning Objective 5: By the end of Task 5, you will be able to create visualization of Person Attributes and Person Re-identification (REID) information for each detected person in an Image/Video/Camera input.
Syllabus
- Project Overview
- Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.
Taught by
Tebogo Nakampe and Thabo Koee
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