Get Started With the NVIDIA DeepStream SDK

Overview

DeepStream is a GStreamer-based SDK for creating vision AI applications with AI for image processing and object detection.

Release Highlights

Release notes

DeepStream 6.2 Highlights:

• 30+ hardware accelerated plug-ins and extensions to optimize pre/post processing, inference, multi-object tracking, message brokers, and more
• New nvdsxfer plug-in that enables NVIDIA NVLink® for data transfers across multiple GPUs
• New REST-APIs that support controle of the DeepStream pipeline on-the-fly
• Support for new dewarper projections
• New samples apps: REST-API app, lidar app, industrial inspection app with Basler camera support, and more
• Updated Graph Composer 2.5 with easy-to-use UI
• Enterprise support included with NVIDIA AI Enterprise
• Access to the world’s best performing multi-object trackers: NvDCF, NvDeepSORT, and NvSORT.
• Support for GigE cameras and lidar sensors
• Integration with the latest NVIDIA TAO and pretrained models
• The ability to create custom bindings and scripts to install Python on any DeepStream containers
• Support for NVIDIA JetPack™ 5.1

Operating System

NVIDIA Jetson™: Ubuntu 20.04

NVIDIA Tesla® GPUs (x86): Ubuntu 20.04

Dependencies

Jetson: JetPack: 5.1 , NVIDIA CUDA®: 11.4, NVIDIA cuDNN: 8.6, NVIDIA TensorRT™: 8.5.2.2 , NVIDIA Triton™ 23.01, GStreamer 1.16.3

T4 GPUs (x86): Driver: R525+, CUDA: 11.8 , cuDNNs: 8.7+, TensorRT: 8.5.2.2, Triton 22.09, GStreamer 1.16.3

Note: For JetPack 4.6.1, please use DeepStream 6.0.1. Previous versions of DeepStream can be found here.

Product Advisory

If you’re planning to bring models that use an older version of TensorRT (8.5.2.2), make sure you regenerate the INT8 calibration cache before using them with DeepStream 6.2.

You can find details regarding regenerating the cache in the Read Me First section of the documentation. For new DeepStream developers or those not reusing old models, this step can be omitted.