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add docs for yolonas plus models (#14161)

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* add docs for yolonas plus models

* typo
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Blake Blackshear
2024-10-05 14:51:05 -05:00
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@@ -15,17 +15,36 @@ With a subscription, 12 model trainings per year are included. If you cancel you
Information on how to integrate Frigate+ with Frigate can be found in the [integration docs](../integrations/plus.md).
## Available model types
There are two model types offered in Frigate+: `mobiledet` and `yolonas`. Both of these models are object detection models and are trained to detect the same set of labels [listed below](#available-label-types).
Not all model types are supported by all detectors, so it's important to choose a model type to match your detector as shown in the table under [supported detector types](#supported-detector-types).
| Model Type | Description |
| ----------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs. |
| `yolonas` | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs. |
## Supported detector types
Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVino (`openvino`), ONNX (`onnx`), and ROCm (`rocm`) detectors.
:::warning
Frigate+ models are not supported for TensorRT or OpenVino yet.
Using Frigate+ models with `onnx` and `rocm` is only available with Frigate 0.15, which is still under development.
:::
Currently, Frigate+ models only support CPU (`cpu`) and Coral (`edgetpu`) models. OpenVino is next in line to gain support.
| Hardware | Recommended Detector Type | Recommended Model Type |
| ---------------------------------------------------------------------------------------------------------------------------- | ------------------------- | ---------------------- |
| [CPU](/configuration/object_detectors.md#cpu-detector-not-recommended) | `cpu` | `mobiledet` |
| [Coral (all form factors)](/configuration/object_detectors.md#edge-tpu-detector) | `edgetpu` | `mobiledet` |
| [Intel](/configuration/object_detectors.md#openvino-detector) | `openvino` | `yolonas` |
| [NVidia GPU](https://deploy-preview-13787--frigate-docs.netlify.app/configuration/object_detectors#onnx)\* | `onnx` | `yolonas` |
| [AMD ROCm GPU](https://deploy-preview-13787--frigate-docs.netlify.app/configuration/object_detectors#amdrocm-gpu-detector)\* | `rocm` | `yolonas` |
The models are created using the same MobileDet architecture as the default model. Additional architectures will be added in future releases as needed.
_\* Requires Frigate 0.15_
## Available label types