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Docs: fix Synaptics default model path and warn about v4l2m2m kernel Oops on GT-BE19000AI (#24008)
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* Docs: fix Synaptics default model path in object detector docs

The model is installed at /synaptics/mobilenet.synap by docker/synaptics/Dockerfile,
matching the config examples in the same section.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Docs: warn about kernel Oops with v4l2m2m hwaccel on ASUS GT-BE19000AI

Enabling the recommended h264_v4l2m2m hwaccel args on the GT-BE19000AI AI
board (SL1680, firmware kernel 5.15.140) triggers a LIST_POISON dereference
Oops in the vendor vpu driver during decoder teardown, requiring a reboot.
Observed and captured on real hardware. Also fixes a Synaptics typo.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Docs: drop GT-BE19000AI hwaccel warning per review

Remove the device-specific v4l2m2m kernel Oops warning as requested by
maintainer review; upstream/vendor gotchas are not documented here. The
Synaptics typo fix and model path correction remain.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
jlobue10
2026-09-02 10:39:30 -05:00
committed by GitHub
co-authored by Claude Fable 5
parent 7497ef7506
commit b4d5035b79
2 changed files with 2 additions and 2 deletions
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docs/data/object_detectors_models.yaml
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@@ -1100,7 +1100,7 @@ synaptics:
- key: ssd
label: SSD MobileNet
recommended: true
download: A synap model is provided in the container at `/mobilenet.synap` and is used by this detector type by default. The model comes from the [Synap-release Github](https://github.com/synaptics-astra/synap-release/tree/v1.5.0/models/dolphin/object_detection/coco/model/mobilenet224_full80).
download: A synap model is provided in the container at `/synaptics/mobilenet.synap` and is used by this detector type by default. The model comes from the [Synap-release Github](https://github.com/synaptics-astra/synap-release/tree/v1.5.0/models/dolphin/object_detection/coco/model/mobilenet224_full80).
ui: |-
Navigate to **Settings > System > Detectors and model** and select **Synaptics** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: