The blog post provides a quickstart guide for using NVIDIA DeepStream, a platform for building and deploying AI-based video analytics applications. We begin by introducing the main components of DeepStream, including the application, the pipeline, and the model.
The blog post then provides a step-by-step guide for setting up a DeepStream application using the provided code samples. We walk you through the installation process and demonstrate how to customize the sample application to detect objects in a video stream.
The blog post also highlights the benefits of using DeepStream for video analytics, such as real-time processing and low latency. And states that DeepStream can be used for a wide range of applications, such as security and surveillance, traffic management, and retail analytics.
Overall, the blog post provides a beginner-friendly guide for using NVIDIA DeepStream to build AI-based video analytics applications. We emphasizes the ease of use and flexibility of the platform, and provides practical examples for customizing and deploying DeepStream applications.
You can read the blogpost on our Medium channel by clicking the link.