Welcome to the DeepStream lab on NVIDIA LaunchPad!

NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing for video, image, and audio understanding. DeepStream is an integral part of NVIDIA Metropolis, the platform for building end-to-end services and solutions that transform pixels and sensor data into actionable insights. DeepStream SDK features hardware-accelerated building blocks, called plugins, that bring deep neural networks and other complex processing tasks into a processing pipeline. The DeepStream SDK allows you to focus on building optimized Vision AI applications without having to design complete solutions from scratch.

The DeepStream SDK uses AI to perceive pixels and generate metadata while offering integration from the edge-to-the-cloud. The DeepStream SDK can be used to build applications across various use cases including retail analytics, patient monitoring in healthcare facilities, parking management, optical inspection, managing logistics and operations etc.

In this lab, you will learn how to build a video analytics application in Python using the DeepStream SDK. This application will demonstrate how to construct a pipeline which will perform object detection, tracking, and classification on multi-stream input, along with how to customize the appearance of the output as seen below.


Most of your experience will be contained in the included Jupyter notebook. You’ll be guided to access it from the left-hand pane after you’ve learned more about DeepStream and its technology in the next pages.

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