From b4d5035b79d153a3890cbe08e05518c96e67c2c3 Mon Sep 17 00:00:00 2001 From: jlobue10 Date: Wed, 2 Sep 2026 08:39:30 -0700 Subject: [PATCH] Docs: fix Synaptics default model path and warn about v4l2m2m kernel Oops on GT-BE19000AI (#24008) * 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 * 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 * 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 --------- Co-authored-by: Claude Fable 5 --- docs/data/object_detectors_models.yaml | 2 +- docs/docs/configuration/hardware_acceleration_video.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/data/object_detectors_models.yaml b/docs/data/object_detectors_models.yaml index 1c5a189e5e..9d9aa40a1d 100644 --- a/docs/data/object_detectors_models.yaml +++ b/docs/data/object_detectors_models.yaml @@ -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: diff --git a/docs/docs/configuration/hardware_acceleration_video.md b/docs/docs/configuration/hardware_acceleration_video.md index b9312c327f..360ca1a50c 100644 --- a/docs/docs/configuration/hardware_acceleration_video.md +++ b/docs/docs/configuration/hardware_acceleration_video.md @@ -498,7 +498,7 @@ cameras: ## Synaptics -Hardware accelerated video de-/encoding is supported on Synpatics SL-series SoC. +Hardware accelerated video de-/encoding is supported on Synaptics SL-series SoC. ### Prerequisites