OpenVINO Beginner: Building a Crossroad AI Camera

提供方
英特尔
在此指導項目中,您將:

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中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

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

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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