deepstream-run-mv3dt
Skill314 starsChanged 15 days agoLicence not identifiedView on GitHub
Run and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT. Use when the user asks to set up prerequisites, run shipped MV3DT samples, run Multi-View 3D Tracking on custom synchronized MP4 datasets, import camera calibration, delegate missing calibration to AutoMagicCalib, inspect OSD or BEV visualization, consume MV3DT Kafka metadata, or clean up MV3DT run state in the DeepStream MV3DT app directory.
1 other project uses a version of this.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- NVIDIA/skillsword for word, first seen Oct 1, 2026
Other versions1 project uses a version of this.
Word for word · 1
- NVIDIA/skills★ 3.9k100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- tools/auto-magic-calib/AGENTS.mdAGENTS.md
- amc-run-auto-calibrationSkill
- deepstream-audit-configSkill
- deepstream-build-compute-stackSkill
- deepstream-devSkill
- deepstream-eval-and-finetuneSkill
- deepstream-generate-configSkill
- deepstream-generate-pipelineSkill
- deepstream-import-vision-modelSkill
- deepstream-inspect-rtspSkill
- deepstream-inspect-stackSkill
- deepstream-profile-pipelineSkill
- deepstream-setup-on-wslSkill
- deepstream-sopSkill
- inference-builderSkill
- rtvi-cv-customize-modelSkill
- rtvi-cv-scaffold-vss-serviceSkill
- rtvi-vlm-customize-modelSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 5 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
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