Skip to content

nvidia-deepstream: Jetson AGX Thor support on DeepStream 9.1 - #27

Merged
nicksinas merged 7 commits into
mainfrom
nsinas/deepstream-thor
Sep 2, 2026
Merged

nicksinas merged 7 commits into
mainfrom
nsinas/deepstream-thor

Conversation

@nicksinas

Copy link
Copy Markdown
Collaborator

Brings the NVIDIA DeepStream reference up to DeepStream 9.1 and adds Jetson AGX Thor as a supported target.

Changes

Target + runtime

  • Add jetson-agx-thor to supported_targets
  • Bump distro to release 2026 / channel next; move runtime from deepstream-7.1deepstream-9.1 (+ pyds)
  • Add tensorrt-trtexec-prebuilt so engines can be built on-device during bring-up
  • Add tegra-libraries-pva — the NvDCF tracker's VPI feature extractor loads libnvpvaumd_core.so at runtime (not a transitive dep of deepstream); missing on JetPack 7.2

DeepStream 9.1 fixes

  • nvstreammux: set USE_NEW_NVSTREAMMUX=yes and drop the legacy width/height/batched-push-timeout/live-source mux properties (unsupported/ignored by the new muxer)
  • Comment/doc sweep 7.1 → 9.1 across README, getting_started, models-compile, config, app.py, preflight

Engines

  • engines-compile.sh / engines-install.sh: missing prebuilt engines now warn instead of hard-failing, so new hardware can build an image, provision, build engines on-device, then commit them and redeploy
  • Commit prebuilt FP16 engines for Thor (PeopleNet, MoveNet, YOLOX-Hand, Hand-Landmark)

- avocado.yaml: add jetson-agx-thor to supported_targets; bump distro to
  release 2026 / channel next; move runtime to deepstream-9.1 (+ pyds)
- engines-compile.sh / engines-install.sh: missing prebuilt engines now
  warn instead of hard-failing, so new hardware can build an image,
  provision, and build engines on-device, then commit them and redeploy
- README / getting_started / models-compile / config / app / preflight:
  update 7.1 → 9.1 references
@github-actions

github-actions Bot commented Sep 1, 2026

Copy link
Copy Markdown

Avocado References — Build Check

Reference Target install build Result
nvidia-deepstream jetson-orin-nano FAIL @ install

Totals: 0 ✅ passed · 1 ❌ failed

Per-reference logs: workflow run

@nicksinas
nicksinas merged commit 57f98c9 into main Sep 2, 2026
2 of 3 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant