NVIDIA-AI-IOT/deepstream_reference_apps resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1355 stars · 375 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of C++ reference applications demonstrating video analytics pipelines built on NVIDIA DeepStream SDK 9.0 and TensorRT for Tesla GPUs and Jetson edge devices. The samples cover anomaly detection, runtime source add/delete, SAM2-based multi-object tracking and segmentation, single- and multi-view 3D tracking, parallel multi-model inference, 3D body pose inference, and IPC video buffer sharing. The repository has ceased updates in favor of the main NVIDIA/deepstream repository.

Use cases

• deepstream sample apps for jetson video analytics
• multi-object tracking and segmentation with sam2 on deepstream
• single-view or multi-view 3d tracking across calibrated cameras
• run multiple models in parallel inference with deepstream
• add and remove video sources at runtime in a deepstream pipeline
• video anomaly detection reference implementation
• share video buffers between gstreamer pipelines over ipc
• 3d body pose estimation inference with tensorrt

When to choose

• You are building video analytics on NVIDIA Jetson or Tesla GPUs with DeepStream 9.0 and want working C++ starting points
• You need reference implementations for multi-object tracking, SAM2 segmentation, 3D tracking, or bodypose model inference
• You want examples of advanced pipeline patterns like dynamic source management, parallel multi-model inference, and IPC buffer sharing

When to avoid

• You need the latest DeepStream features or ongoing updates - this repo has ceased updates and NVIDIA/deepstream is the successor
• You are not using NVIDIA GPUs, Jetson hardware, or the DeepStream SDK
• You need a production-ready turnkey product rather than sample and reference code

Facets

learning-resource · maturity maintenance

video-processing computer-vision deep-learning machine-learning gpu-computing computer-vision artificial-intelligence deep-learning embedded-systems tutorials cpp embedded deepstream tensorrt jetson nvidia video-analytics sample-applications multi-object-tracking sam2-segmentation 3d-tracking pose-estimation anomaly-detection gstreamer video linux gpu

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markdown · JSON · MCP: product_card(name="NVIDIA-AI-IOT/deepstream_reference_apps")