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docs/docs/configuration/object_detectors.md
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@ -1104,41 +1104,6 @@ model: # required
labelmap_path: /labelmap/coco-80.txt # required
```
## AXERA
Hardware accelerated object detection is supported on the following SoCs:
- AX650N
- AX8850N
This implementation uses the [AXera Pulsar2 Toolchain](https://huggingface.co/AXERA-TECH/Pulsar2).
See the [installation docs](../frigate/installation.md#axera) for information on configuring the AXEngine hardware.
### Configuration
When configuring the AXEngine detector, you have to specify the model name.
#### yolov9
A yolov9 model is provided in the container at /axmodels and is used by this detector type by default.
Use the model configuration shown below when using the axengine detector with the default axmodel:
```yaml
detectors: # required
axengine: # required
type: axengine # required
model: # required
path: frigate-yolov9-tiny # required
model_type: yolo-generic # required
width: 320 # required
height: 320 # required
tensor_format: bgr # required
labelmap_path: /labelmap/coco-80.txt # required
```
## Rockchip platform
Hardware accelerated object detection is supported on the following SoCs:
@ -1403,6 +1368,41 @@ model:
input_pixel_format: rgb/bgr # look at the model.json to figure out which to put here
```
## AXERA
Hardware accelerated object detection is supported on the following SoCs:
- AX650N
- AX8850N
This implementation uses the [AXera Pulsar2 Toolchain](https://huggingface.co/AXERA-TECH/Pulsar2).
See the [installation docs](../frigate/installation.md#axera) for information on configuring the AXEngine hardware.
### Configuration
When configuring the AXEngine detector, you have to specify the model name.
#### yolov9
A yolov9 model is provided in the container at /axmodels and is used by this detector type by default.
Use the model configuration shown below when using the axengine detector with the default axmodel:
```yaml
detectors:
axengine:
type: axengine
model:
path: frigate-yolov9-tiny
model_type: yolo-generic
width: 320
height: 320
tensor_format: bgr
labelmap_path: /labelmap/coco-80.txt
```
# Models
Some model types are not included in Frigate by default.

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docs/docs/frigate/installation.md
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@ -289,6 +289,8 @@ Next, you should configure [hardware object detection](/configuration/object_det
### AXERA
<details>
<summary>AXERA accelerators</summary>
AXERA accelerators are available in an M.2 form factor, compatible with both Raspberry Pi and Orange Pi. This form factor has also been successfully tested on x86 platforms, making it a versatile choice for various computing environments.
#### Installation
@ -319,7 +321,7 @@ If you are using `docker run`, add this option to your command `--device /dev/ax
#### Configuration
Finally, configure [hardware object detection](/configuration/object_detectors#axera) to complete the setup.
</details>
## Docker