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Move hailo to first party detectors

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Nicolas Mowen 2025-02-03 06:40:47 -07:00 committed by GitHub
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docs/docs/configuration/object_detectors.md
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@ -116,6 +116,30 @@ detectors:
device: pci device: pci
``` ```
## Hailo-8l
This detector is available for use with Hailo-8 AI Acceleration Module.
See the [installation docs](../frigate/installation.md#hailo-8l) for information on configuring the hailo8.
### Configuration
```yaml
detectors:
hailo8l:
type: hailo8l
device: PCIe
model:
width: 300
height: 300
input_tensor: nhwc
input_pixel_format: bgr
model_type: ssd
path: /config/model_cache/h8l_cache/ssd_mobilenet_v1.hef
```
## OpenVINO Detector ## OpenVINO Detector
The OpenVINO detector type runs an OpenVINO IR model on AMD and Intel CPUs, Intel GPUs and Intel VPU hardware. To configure an OpenVINO detector, set the `"type"` attribute to `"openvino"`. The OpenVINO detector type runs an OpenVINO IR model on AMD and Intel CPUs, Intel GPUs and Intel VPU hardware. To configure an OpenVINO detector, set the `"type"` attribute to `"openvino"`.
@ -624,26 +648,3 @@ $ cat /sys/kernel/debug/rknpu/load
- All models are automatically downloaded and stored in the folder `config/model_cache/rknn_cache`. After upgrading Frigate, you should remove older models to free up space. - All models are automatically downloaded and stored in the folder `config/model_cache/rknn_cache`. After upgrading Frigate, you should remove older models to free up space.
- You can also provide your own `.rknn` model. You should not save your own models in the `rknn_cache` folder, store them directly in the `model_cache` folder or another subfolder. To convert a model to `.rknn` format see the `rknn-toolkit2` (requires a x86 machine). Note, that there is only post-processing for the supported models. - You can also provide your own `.rknn` model. You should not save your own models in the `rknn_cache` folder, store them directly in the `model_cache` folder or another subfolder. To convert a model to `.rknn` format see the `rknn-toolkit2` (requires a x86 machine). Note, that there is only post-processing for the supported models.
## Hailo-8l
This detector is available for use with Hailo-8 AI Acceleration Module.
See the [installation docs](../frigate/installation.md#hailo-8l) for information on configuring the hailo8.
### Configuration
```yaml
detectors:
hailo8l:
type: hailo8l
device: PCIe
model:
width: 300
height: 300
input_tensor: nhwc
input_pixel_format: bgr
model_type: ssd
path: /config/model_cache/h8l_cache/ssd_mobilenet_v1.hef
```