nik/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-10-18 07:29:45 +00:00
Code Issues Packages Projects Releases Wiki Activity

docs(axelera): switch model dropdown to yolox-s-coco (Apache-2.0)

Browse Source
This commit is contained in:
patrykorwat 2026-08-19 21:04:37 +00:00
parent 2bfd8f5707
commit 0526fcc933
2 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
docs/data/object_detectors_models.yaml
View File

@ -1272,17 +1272,17 @@ axengine:
axelera:
title: Axelera Metis
models:
- key: yolov8n
label: YOLOv8n
- key: yoloxs
label: YOLOX-S
recommended: true
download: |-
The **yolov8n-coco** model is a Voyager SDK model-zoo preset, so no download or compilation is needed. To use a custom model, compile your ONNX model with the SDK compiler (`axcompile`) or build from the model zoo (`axzoo build yolov8n_coco --backend axrelay --cal-source repr`), then point `model.path` at the compiled model or its URL (e.g. hosted on Hugging Face).
The **yolox-s-coco** model is a Voyager SDK model-zoo preset (Megvii YOLOX, Apache-2.0 licensed), so no download or compilation is needed. To use a custom model, compile your ONNX model with the SDK compiler (`axcompile`) or build from the model zoo (`axzoo build yolox_s_coco --backend axrelay --cal-source repr`), then point `model.path` at the compiled model or its URL (e.g. hosted on Hugging Face).
ui: |-
Navigate to **Settings > System > Detectors and model** and select **Axelera Metis NPU** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ----------------------- |
| **Custom object detector model path** | `yolov8n-coco` |
| **Custom object detector model path** | `yolox-s-coco` |
| **Label map for custom object detector** | `/labelmap/coco-80.txt` |
| **Object detection model input width** | `640` |
| **Object detection model input height** | `640` |
@ -1296,7 +1296,7 @@ axelera:
type: axelera
model:
path: yolov8n-coco
path: yolox-s-coco
model_type: yolo-generic
width: 640
height: 640

2
docs/docs/configuration/object_detectors.md
View File

@ -797,7 +797,7 @@ See the [installation docs](../frigate/installation.md#axelera-metis) for inform
### Configuration {#configuration-axelera}
The integration runs inference through a single stream created with `create_inference_stream(network=...)`, which accepts a compiled model as a URL (downloaded into the model cache), a local file path, or an SDK model-zoo preset name. When no model is specified, the compiled default model is downloaded from Hugging Face into the model cache on first startup; the SDK model-zoo preset `yolox-s-coco` can be selected explicitly with `model.path: yolox-s-coco`.
The integration runs inference through a single stream created with `create_inference_stream(network=...)`, which accepts a compiled model as a URL (downloaded into the model cache), a local file path, or an SDK model-zoo preset name. When no model is specified, the SDK model-zoo preset `yolox-s-coco` is used (no download); it can also be selected explicitly with `model.path: yolox-s-coco`.
<ModelConfigDropdown detectorTitle="Axelera Metis" models={objectDetectorsModels.axelera.models} />