DeepStream SDK - Get Started (original) (raw)

Overview NVIDIA DeepStream is a powerful SDK that lets you use GPU-accelerated technology to develop end-to-end streaming vision AI pipelines. The latest release, DeepStream 7.1, is packed with innovative features to accelerate the development of your next-generation applications.
Release Highlights Release notes DeepStream 7.1 Highlights: DeepStream Service Maker now supports Python, offering a powerful GStreamer abstraction layer that allows Python developers to build AI and computer vision pipelines in minutes. DeepStream 7.0 Highlights: Libraries that simplify development with GStreamer using intuitive Python APIs DeepStream Service Maker to easily build C++ object-oriented applications Enhancements to Single-View 3D Tracking (SV3DT) tracker BEVFusion for robust sensor fusion, including lidar and radar Support for Windows Subsystem for Linux (WSL2) to easily develop applications in a Windows environment PipeTuner 1.0 to optimize tuning of AI parameters and maximize accuracy Support for accelerating development of generative AI applications GXF 4.1 includes Python and C++ and support for event-based scheduling. For full details, check the new NGC Collection page and the DeepStream 7 Release Notes.
Containers DeepStream is available in three different flavors of containers: Triton: Single container for both x86 and Jetson. (Multi-arch) Samples: Single container for both x86 and Jetson.(Multi-arch) Development: x86-only container, including Graph Composer Arm Development: SBSA container for Arm based servers and systems All dockerfiles are also available on GitHub. For full details, check the new NGC Collection page.
Product Advisory If you’re planning to bring models that use an older version of NVIDIA® TensorRT™ (8.6.1), make sure you regenerate the INT8 calibration cache before using them with the latest release of DeepStream. For new DeepStream developers or those not reusing old models, this step can be omitted.

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Python Bindings

The Python bindings source code and pre-built wheels are now available on GitHub.

Introduction to DeepStream SDK

Quick Start Guide

Get step-by-step instructions for building vision AI pipelines using DeepStream and Jetson or discrete GPUs.

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Introducing DeepStream

Discover how the new DeepStream libraries Python APIs supercharge developers looking to tap into GPU-accelerated vision-AI capabilities without a framework dependency. Explore all other powerful features of DeepStream 7.0.

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Introductory DeepStream Webinar

The next version of DeepStream SDK adds a new graph execution runtime (GXF) that lets you build applications requiring tight execution control, advanced scheduling, and critical thread management.

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Get Started

Find everything you need to start developing your vision AI applications with DeepStream, including documentation, tutorials, and reference applications.

Getting Started with Graph Composer

Learn how NVIDIA DeepStream and Graph Composer make it easier than ever to create vision AI applications for NVIDIA Jetson.

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Additional Resources

Technical Blogs

Webinars and GTC

Forum & FAQ

Ethical AI
NVIDIA platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Also, work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.