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Update object_detectors.md

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docs/docs/configuration/object_detectors.md
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@ -5,6 +5,8 @@ title: Object Detectors
# Supported Hardware # Supported Hardware
:::tip
Frigate supports multiple different detectors that work on different types of hardware: Frigate supports multiple different detectors that work on different types of hardware:
**Most Hardware** **Most Hardware**
@ -26,6 +28,8 @@ Frigate supports multiple different detectors that work on different types of ha
**Rockchip** **Rockchip**
- [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs. - [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs.
:::
# Officially Supported Detectors # Officially Supported Detectors
Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `openvino`, `tensorrt`, `rknn`, and `hailo8l`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras. Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `openvino`, `tensorrt`, `rknn`, and `hailo8l`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
@ -418,7 +422,7 @@ After placing the downloaded onnx model in your config folder, you can use the f
```yaml ```yaml
detectors: detectors:
onnx: rocm:
type: rocm type: rocm
model: model: