More inference speed updates (#19947)

* More inference speed updates

* Update hardware.md

* Update hardware.md

* Update index.md

* More inference speeds

* Update home-assistant.md

* Update object_detectors.md

* Update first_model.md
This commit is contained in:
Nicolas Mowen
2025-09-08 07:43:04 -05:00
committed by GitHub
parent 751de141d5
commit c5ed95ec52
5 changed files with 42 additions and 13 deletions
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@@ -34,6 +34,12 @@ Model IDs are not secret values and can be shared freely. Access to your model i
:::
:::tip
When setting the plus model id, all other fields should be removed as these are configured automatically with the Frigate+ model config
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## Step 4: Adjust your object filters for higher scores
Frigate+ models generally have much higher scores than the default model provided in Frigate. You will likely need to increase your `threshold` and `min_score` values. Here is an example of how these values can be refined, but you should expect these to evolve as your model improves. For more information about how `threshold` and `min_score` are related, see the docs on [object filters](../configuration/object_filters.md#object-scores).
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@@ -51,7 +51,7 @@ Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVi
| [Coral (all form factors)](/configuration/object_detectors.md#edge-tpu-detector) | `edgetpu` | `mobiledet` |
| [Intel](/configuration/object_detectors.md#openvino-detector) | `openvino` | `yolov9` |
| [NVidia GPU](/configuration/object_detectors#onnx) | `onnx` | `yolov9` |
| [AMD ROCm GPU](/configuration/object_detectors#amdrocm-gpu-detector) | `rocm` | `yolov9` |
| [AMD ROCm GPU](/configuration/object_detectors#amdrocm-gpu-detector) | `onnx` | `yolov9` |
| [Hailo8/Hailo8L/Hailo8R](/configuration/object_detectors#hailo-8) | `hailo8l` | `yolov9` |
| [Rockchip NPU](/configuration/object_detectors#rockchip-platform)\* | `rknn` | `yolov9` |