OpenVINO Beginner: Building a Crossroad AI Camera

ofrecido por
Intel
En este proyecto guiado, tú:

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
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

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

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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Preguntas Frecuentes

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