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docs: updated the guides detectors section (#22241)

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GuoQing Liu 2026-03-04 22:27:31 +08:00 committed by GitHub
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docs/docs/guides/getting_started.md
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@ -174,8 +174,47 @@ cameras:
### Step 4: Configure detectors
By default, Frigate will use a single CPU detector. If you have a USB Coral, you will need to add a detectors section to your config.
By default, Frigate will use a single CPU detector.
In many cases, the integrated graphics on Intel CPUs provides sufficient performance for typical Frigate setups. If you have an Intel processor, you can follow the configuration below.
<details>
<summary>Use Intel OpenVINO detector</summary>
You need to refer to **Configure hardware acceleration** above to enable the container to use the GPU.
```yaml
mqtt: ...
detectors: # <---- add detectors
ov:
type: openvino # <---- use openvino detector
device: GPU
# We will use the default MobileNet_v2 model from OpenVINO.
model:
width: 300
height: 300
input_tensor: nhwc
input_pixel_format: bgr
path: /openvino-model/ssdlite_mobilenet_v2.xml
labelmap_path: /openvino-model/coco_91cl_bkgr.txt
cameras:
name_of_your_camera:
ffmpeg: ...
detect:
enabled: True # <---- turn on detection
...
```
</details>
If you have a USB Coral, you will need to add a detectors section to your config.
<details>
<summary>Use USB Coral detector</summary>
`docker-compose.yml` (after modifying, you will need to run `docker compose up -d` to apply changes)
```yaml
@ -204,6 +243,8 @@ cameras:
...
```
</details>
More details on available detectors can be found [here](../configuration/object_detectors.md).
Restart Frigate and you should start seeing detections for `person`. If you want to track other objects, they will need to be added according to the [configuration file reference](../configuration/reference.md).