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@ -28,6 +28,9 @@ Frigate supports multiple different detectors that work on different types of ha
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**Rockchip**
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- [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs.
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**For Testing**
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- [CPU Detector (not recommended for actual use](#cpu-detector-not-recommended): Use a CPU to run tflite model, this is not recommended and in most cases OpenVINO can be used in CPU mode with better results.
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:::
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# Officially Supported Detectors
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@ -464,9 +467,9 @@ Note that the labelmap uses a subset of the complete COCO label set that has onl
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The CPU detector type runs a TensorFlow Lite model utilizing the CPU without hardware acceleration. It is recommended to use a hardware accelerated detector type instead for better performance. To configure a CPU based detector, set the `"type"` attribute to `"cpu"`.
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:::tip
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:::danger
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If you do not have GPU or Edge TPU hardware, using the [OpenVINO Detector](#openvino-detector) is often more efficient than using the CPU detector.
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The CPU detector is not recommended for general use. If you do not have GPU or Edge TPU hardware, using the [OpenVINO Detector](#openvino-detector) in CPU mode is often more efficient than using the CPU detector.
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:::
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