Raessan/dinov3_deepstream

DeepStream integration of Meta’s DINOv3 backbone with lightweight heads for vision tasks.

29
/ 100
Experimental

This application helps operations engineers and robotics developers process live video feeds from cameras, files, or streams in real time. It takes raw video input and simultaneously produces outputs like identified objects (with bounding boxes), semantic segmentation masks (pixel-level classification), depth maps, and optical flow vectors, all at maximum speed and efficiency. This is ideal for scenarios requiring simultaneous, low-latency analysis of visual data.

Use this if you need to run multiple real-time vision tasks like object detection, depth estimation, and segmentation on video streams from cameras or files using NVIDIA GPUs or Jetson devices for optimal performance.

Not ideal if you primarily need to perform a single vision task, do not have access to NVIDIA hardware, or are working with still images rather than continuous video streams.

real-time video analytics robotics vision industrial automation surveillance systems autonomous vehicles
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 13 / 25
Community 0 / 25

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Stars

19

Forks

Language

C++

License

Apache-2.0

Last pushed

Feb 05, 2026

Commits (30d)

0

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