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Add network requirements docs (#22874)
* Add network requirements docs * shorten title * add note about network requirements in each section
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@@ -288,6 +288,12 @@ This detector is available for use with both Hailo-8 and Hailo-8L AI Acceleratio
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See the [installation docs](../frigate/installation.md#hailo-8) for information on configuring the Hailo hardware.
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:::info
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If no custom model is provided, the Hailo detector downloads a default model from the Hailo Model Zoo on first startup. Once cached, the model works fully offline. See [Network Requirements](/frigate/network_requirements#hardware-specific-detector-models) for details.
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:::
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### Configuration
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When configuring the Hailo detector, you have two options to specify the model: a local **path** or a **URL**.
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@@ -1793,6 +1799,12 @@ Hardware accelerated object detection is supported on the following SoCs:
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This implementation uses the [Rockchip's RKNN-Toolkit2](https://github.com/airockchip/rknn-toolkit2/), version v2.3.2.
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:::info
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If no custom model is provided, the RKNN detector downloads a default model from GitHub on first startup. Once cached, the model works fully offline. See [Network Requirements](/frigate/network_requirements#hardware-specific-detector-models) for details.
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:::
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:::tip
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When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming NPU resources are available. An example configuration would be:
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@@ -2176,6 +2188,12 @@ This implementation uses the [AXera Pulsar2 Toolchain](https://huggingface.co/AX
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See the [installation docs](../frigate/installation.md#axera) for information on configuring the AXEngine hardware.
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:::info
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The AXEngine detector downloads its default model from HuggingFace on first startup. Once cached, the model works fully offline. See [Network Requirements](/frigate/network_requirements#hardware-specific-detector-models) for details.
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:::
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### Configuration
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When configuring the AXEngine detector, you have to specify the model name.
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