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fix(axelera): correct preset name to yolox-s-coco-onnx

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The SDK model-zoo network name in create_inference_stream is
yolox-s-coco-onnx (yolox-s-coco is only the axzoo recipe tag).
This commit is contained in:
patrykorwat 2026-08-19 21:15:48 +00:00
parent 0526fcc933
commit 7bf9cb4631
4 changed files with 10 additions and 10 deletions
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6
docs/data/object_detectors_models.yaml
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@ -1276,13 +1276,13 @@ axelera:
label: YOLOX-S
recommended: true
download: |-
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).
The **yolox-s-coco-onnx** 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** | `yolox-s-coco` |
| **Custom object detector model path** | `yolox-s-coco-onnx` |
| **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: yolox-s-coco
path: yolox-s-coco-onnx
model_type: yolo-generic
width: 640
height: 640

6
docs/docs/configuration/object_detectors.md
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@ -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 SDK model-zoo preset `yolox-s-coco` is used (no download); it can also 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-onnx` is used (no download); it can also be selected explicitly with `model.path: yolox-s-coco-onnx`.
<ModelConfigDropdown detectorTitle="Axelera Metis" models={objectDetectorsModels.axelera.models} />
@ -813,7 +813,7 @@ The Metis board needs models compiled for its architecture. Compile them from th
The Metis board runs models compiled for its architecture (`.axm` files, or a compiled model directory). Two options are available:
- **SDK model-zoo preset (no compilation or download needed):** the `yolox-s-coco` preset ships with the Voyager SDK (YOLOX, Megvii, Apache-2.0 licensed). Select it with `model.path: yolox-s-coco`.
- **SDK model-zoo preset (no compilation or download needed):** the `yolox-s-coco-onnx` preset ships with the Voyager SDK (YOLOX, Megvii, Apache-2.0 licensed). Select it with `model.path: yolox-s-coco-onnx`.
- **Compiled model:** build one with the SDK tooling, e.g. `axzoo build yolox_s_coco --backend axrelay --cal-source repr` (model zoo) or `axcompile -i model.onnx -o compiled/` (custom ONNX). See [Building a model](/frigate/installation#building-a-model).
Host the compiled model somewhere Frigate can reach (a local path or an HTTP URL, e.g. on Hugging Face) and point `model.path` at it. With no `model.path`, the detector uses the SDK model-zoo preset `yolox-s-coco` by default (no download). Set `model.width` and `model.height` to the compiled model's input size.
Host the compiled model somewhere Frigate can reach (a local path or an HTTP URL, e.g. on Hugging Face) and point `model.path` at it. With no `model.path`, the detector uses the SDK model-zoo preset `yolox-s-coco-onnx` by default (no download). Set `model.width` and `model.height` to the compiled model's input size.

2
docs/docs/frigate/installation.md
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@ -519,7 +519,7 @@ Then install the Metis kernel driver, for example with `axdevice driver --instal
#### Building a model
Detector models are compiled for the Metis architecture. The simplest path needs no compilation: the detector uses the `yolox-s-coco` model-zoo preset by default, which ships with the SDK.
Detector models are compiled for the Metis architecture. The simplest path needs no compilation: the detector uses the `yolox-s-coco-onnx` model-zoo preset by default, which ships with the SDK.
To compile your own ONNX model, use the SDK compiler (`axcompile`, see the [Compiler CLI reference](https://docs.axelera.ai/sdk/reference/compiler/compiler-cli)):

6
frigate/detectors/plugins/axelera.py
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@ -16,9 +16,9 @@ model compilation across frames.
Model configuration follows the hardware-backend convention:
- `model.path` = URL (downloaded to the model cache) | local file path | SDK
model-zoo preset name (e.g. ``yolox-s-coco``). When omitted, the SDK
model-zoo preset name (e.g. ``yolox-s-coco-onnx``). When omitted, the SDK
model-zoo preset ``AX_DEFAULT_NETWORK`` (YOLOX, Apache-2.0 licensed) is
used; use `model.path: yolox-s-coco` to select it explicitly.
used; use `model.path: yolox-s-coco-onnx` to select it explicitly.
- `model.labelmap_path` / `model.labelmap`: labels are mapped to class ids
BY NAME via the merged labelmap, independent of label ordering.
- `model.width` / `model.height`: input frame dimensions for the network.
@ -46,7 +46,7 @@ DETECTOR_KEY = "axelera"
# Default SDK model-zoo preset used when no `model.path` is given.
# YOLOX (Megvii) is Apache-2.0 licensed; Ultralytics YOLO models are AGPL-3.0
# and cannot be referenced by Frigate (MIT), see blakeblackshear/frigate#10717.
AX_DEFAULT_NETWORK = "yolox-s-coco"
AX_DEFAULT_NETWORK = "yolox-s-coco-onnx"
# Optional download URL for a compiled default model. When empty the SDK
# model-zoo preset AX_DEFAULT_NETWORK is used instead (no download needed).