Introduction

Completed

In this module, you'll learn how to set up and configure an x86-based Ubuntu 18.04 system to host an NVIDIA DeepStream development environment.

Prerequisites

  • x86-based system running Ubuntu 18.04
  • RTX 2080, RTX 3080, T4, or A100 NVIDIA graphics card

Screenshot that shows a DeepStream Application running.

Scenario: Develop an application that counts people and vehicles in a specific area

Your boss wants to adopt AI, specifically computer vision, to aid the automation of gathering metrics about customer traffic in specific areas. The task seems like a difficult one at first, rife with complexities and areas in need of never-ending optimization. But you're aware that there might be a way to simplify this task. By using the NVIDIA DeepStream SDK together with Azure services, you can create a production-grade solution that could lend itself to other use cases with minimal modification. You decide to explore the possibilities by setting up a development environment to evaluate the NVIDIA DeepStream SDK.

What will you learn?

After you finish this module, you'll be able to:

  • Describe the components of Intelligent Video Analytics applications.
  • Install the NVIDIA DeepStream SDK and dependencies onto an x86 host.
  • Run NVIDIA DeepStream applications.
  • Modify and customize NVIDIA DeepStream application configurations.

What is the main goal?

This module will demonstrate how to get started with developing Intelligent Video Analytics applications by using the NVIDIA DeepStream SDK.