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Migrate Hailo detector key and support hailo device (#24327)

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* Migrate Hailo detector key and support hailo device

* Fix missing check
This commit is contained in:
Nicolas Mowen
2026-09-14 08:23:36 -06:00
committed by GitHub
parent caa6edecac
commit 7821ecbb43
24 changed files with 417 additions and 61 deletions
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docs/docs/configuration/object_detectors.md
+5 -5
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@@ -22,7 +22,7 @@ Frigate supports multiple different detectors that work on different types of ha
**Most Hardware**
- [Coral EdgeTPU](#edge-tpu-detector): The Google Coral EdgeTPU is available in USB, Mini PCIe, and m.2 formats allowing for a wide range of compatibility with devices.
- [Hailo](#hailo-8): The Hailo8 and Hailo8L AI Acceleration module is available in m.2 format with a HAT for RPi devices, offering a wide range of compatibility with devices.
- [Hailo](#hailo): The Hailo-8, Hailo-8L and Hailo-8R AI Acceleration modules are available in m.2 format with a HAT for RPi devices, offering a wide range of compatibility with devices.
- <CommunityBadge /> [MemryX](#memryx-mx3): The MX3 Acceleration module is available in m.2 format, offering broad compatibility across various platforms.
**AMD**
@@ -285,9 +285,9 @@ models:
---
## Hailo-8
## Hailo
This detector is available for use with both Hailo-8 and Hailo-8L AI Acceleration Modules. The integration automatically detects your hardware architecture via the Hailo CLI and selects the appropriate default model if no custom model is specified.
This detector is available for use with the Hailo-8, Hailo-8L and Hailo-8R AI Acceleration Modules. The integration identifies which of them is attached and selects the matching default model if no custom model is specified.
See the [installation docs](../frigate/installation.md#hailo-8) for information on configuring the Hailo hardware.
@@ -308,11 +308,11 @@ The HailoRT runtime is not part of the Frigate image. It is downloaded and insta
When configuring the Hailo detector, you have two options to specify the model: a local **path** or a **URL**.
If both are provided, the detector will first check for the model at the given local path. If the file is not found, it will download the model from the specified URL. The model file is cached under `/config/model_cache/hailo`.
<ModelConfigDropdown detectorTitle="Hailo-8/Hailo-8L" models={objectDetectorsModels.hailo8l.models} />
<ModelConfigDropdown detectorTitle="Hailo" models={objectDetectorsModels.hailo.models} />
For additional ready-to-use models, please visit: https://github.com/hailo-ai/hailo_model_zoo
Hailo8 supports all models in the Hailo Model Zoo that include HailoRT post-processing. You're welcome to choose any of these pre-configured models for your implementation.
Hailo supports all models in the Hailo Model Zoo that include HailoRT post-processing. You're welcome to choose any of these pre-configured models for your implementation.
> **Note:**
> The config.path parameter can accept either a local file path or a URL ending with .hef. When provided, the detector will first check if the path is a local file path. If the file exists locally, it will use it directly. If the file is not found locally or if a URL was provided, it will attempt to download the model from the specified URL.