OpenVINO Beginner: Building a Crossroad AI Camera

提供方
英特尔
在此指导项目中,您将:

You will be able to, explain the OpenVINO Toolkit Components and perform Model Conversion, Preparation and Optimization

You will be able to, utilize the Inference Engine to accelerate image and video analytics processing workloads

Clock2 Hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • Deep Learning Inference
  • Image Processing
  • model optimization
  • Internet Of Things (IOT)
  • Computer Vision

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Introduction to Intel Distribution of the OpenVINO Toolkit and it's main components

  2. Download Pre-trained Deep Learning Models using Model Downloader utility

  3. Perform Model Conversion and Preparation using Model Optimizer

  4. Utilize the Inference Engine to run and tune Optimized Models

  5. Visualize Inference Results for a Crossroad AI Camera

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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常见问题

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