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update docs

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Josh Hawkins 2026-05-16 16:56:03 -05:00
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6 changed files with 56 additions and 54 deletions
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2
docs/docs/configuration/advanced.md
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@ -172,7 +172,7 @@ Custom models may also require different input tensor formats. The colorspace co
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detection model" /> to configure the model path, dimensions, and input format.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and open the **Custom Model** tab to configure the model path, dimensions, and input format.
| Field | Description |
| --------------------------------------------- | ------------------------------------ |

8
docs/docs/configuration/index.md
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@ -110,7 +110,7 @@ Here are some common starter configuration examples. These can be configured thr
1. Navigate to <NavPath path="Settings > System > MQTT" /> and configure the MQTT connection to your Home Assistant Mosquitto broker
2. Navigate to <NavPath path="Settings > Global configuration > FFmpeg" /> and set **Hardware acceleration arguments** to `Raspberry Pi (H.264)`
3. Navigate to <NavPath path="Settings > System > Detector hardware" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`
3. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`
4. Navigate to <NavPath path="Settings > Global configuration > Recording" /> and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion`
5. Navigate to <NavPath path="Settings > Global configuration > Snapshots" /> and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30`
6. Navigate to <NavPath path="Settings > Camera configuration > Management" /> and add your camera with the appropriate RTSP stream URL
@ -189,7 +189,7 @@ cameras:
1. Navigate to <NavPath path="Settings > System > MQTT" /> and set **Enable MQTT** to off
2. Navigate to <NavPath path="Settings > Global configuration > FFmpeg" /> and set **Hardware acceleration arguments** to `VAAPI (Intel/AMD GPU)`
3. Navigate to <NavPath path="Settings > System > Detector hardware" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`
3. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`
4. Navigate to <NavPath path="Settings > Global configuration > Recording" /> and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion`
5. Navigate to <NavPath path="Settings > Global configuration > Snapshots" /> and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30`
6. Navigate to <NavPath path="Settings > Camera configuration > Management" /> and add your camera with the appropriate RTSP stream URL
@ -266,8 +266,8 @@ cameras:
1. Navigate to <NavPath path="Settings > System > MQTT" /> and configure the connection to your MQTT broker
2. Navigate to <NavPath path="Settings > Global configuration > FFmpeg" /> and set **Hardware acceleration arguments** to `VAAPI (Intel/AMD GPU)`
3. Navigate to <NavPath path="Settings > System > Detector hardware" /> and add a detector with **Type** `openvino` and **Device** `AUTO`
4. Navigate to <NavPath path="Settings > System > Detection model" /> and configure the OpenVINO model path and settings
3. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `openvino` and **Device** `AUTO`
4. On the same page, in the **Custom Model** tab, configure the OpenVINO model path and settings
5. Navigate to <NavPath path="Settings > Global configuration > Recording" /> and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion`
6. Navigate to <NavPath path="Settings > Global configuration > Snapshots" /> and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30`
7. Navigate to <NavPath path="Settings > Camera configuration > Management" /> and add your camera with the appropriate RTSP stream URL

86
docs/docs/configuration/object_detectors.md
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@ -91,7 +91,7 @@ See [common Edge TPU troubleshooting steps](/troubleshooting/edgetpu) if the Edg
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`.
</TabItem>
<TabItem value="yaml">
@ -111,7 +111,7 @@ detectors:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `usb:0` and `usb:1` as the device for each.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `usb:0` and `usb:1` as the device for each.
</TabItem>
<TabItem value="yaml">
@ -136,7 +136,7 @@ _warning: may have [compatibility issues](https://github.com/blakeblackshear/fri
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then leave the device field empty.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then leave the device field empty.
</TabItem>
<TabItem value="yaml">
@ -156,7 +156,7 @@ detectors:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `pci`.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `pci`.
</TabItem>
<TabItem value="yaml">
@ -176,7 +176,7 @@ detectors:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `pci:0` and `pci:1` as the device for each.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `pci:0` and `pci:1` as the device for each.
</TabItem>
<TabItem value="yaml">
@ -199,7 +199,7 @@ detectors:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors with different device types (e.g., `usb` and `pci`).
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors with different device types (e.g., `usb` and `pci`).
</TabItem>
<TabItem value="yaml">
@ -246,7 +246,7 @@ After placing the downloaded files for the tflite model and labels in your confi
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure the model settings:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`. Then on the same page, in the **Custom Model** tab, configure the model settings:
| Field | Value |
| ---------------------------------------- | ----------------------------------------------------------------- |
@ -309,7 +309,7 @@ Use this configuration for YOLO-based models. When no custom model path or URL i
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure the model settings:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then on the same page, in the **Custom Model** tab, configure the model settings:
| Field | Value |
| ---------------------------------------- | ----------------------- |
@ -365,7 +365,7 @@ For SSD-based models, provide either a model path or URL to your compiled SSD mo
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure the model settings:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then on the same page, in the **Custom Model** tab, configure the model settings:
| Field | Value |
| --------------------------------------- | ------ |
@ -410,7 +410,7 @@ The Hailo detector supports all YOLO models compiled for Hailo hardware that inc
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure the model settings to match your custom model dimensions and format.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then on the same page, in the **Custom Model** tab, configure the model settings to match your custom model dimensions and format.
</TabItem>
<TabItem value="yaml">
@ -465,7 +465,7 @@ When using many cameras one detector may not be enough to keep up. Multiple dete
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **OpenVINO** from the detector type dropdown and click **Add** to add multiple detectors, each targeting `GPU` or `NPU`.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **OpenVINO** from the detector type dropdown and click **Add** to add multiple detectors, each targeting `GPU` or `NPU`.
</TabItem>
<TabItem value="yaml">
@ -508,7 +508,7 @@ Use the model configuration shown below when using the OpenVINO detector with th
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ------------------------------------------ |
@ -558,7 +558,7 @@ After placing the downloaded onnx model in your config folder, use the following
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ------------------------------------------------- |
@ -620,7 +620,7 @@ After placing the downloaded onnx model in your config folder, use the following
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | -------------------------------------------------------- |
@ -676,7 +676,7 @@ After placing the downloaded onnx model in your `config/model_cache` folder, use
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| --------------------------------------- | --------------------------------- |
@ -728,7 +728,7 @@ After placing the downloaded onnx model in your config/model_cache folder, use t
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `CPU`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `CPU`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ---------------------------------- |
@ -807,7 +807,7 @@ Using the detector config below will connect to the client:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`.
</TabItem>
<TabItem value="yaml">
@ -841,7 +841,7 @@ When Frigate is started with the following config it will connect to the detecto
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | -------------------------------------------------------- |
@ -1002,7 +1002,7 @@ When using many cameras one detector may not be enough to keep up. Multiple dete
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ONNX** from the detector type dropdown and click **Add** to add multiple detectors.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ONNX** from the detector type dropdown and click **Add** to add multiple detectors.
</TabItem>
<TabItem value="yaml">
@ -1050,7 +1050,7 @@ After placing the downloaded onnx model in your config folder, use the following
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ------------------------------------------------- |
@ -1109,7 +1109,7 @@ After placing the downloaded onnx model in your config folder, use the following
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | -------------------------------------------------------- |
@ -1158,7 +1158,7 @@ After placing the downloaded onnx model in your config folder, use the following
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | -------------------------------------------------------- |
@ -1207,7 +1207,7 @@ After placing the downloaded onnx model in your `config/model_cache` folder, use
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| --------------------------------------- | --------------------------------- |
@ -1252,7 +1252,7 @@ After placing the downloaded onnx model in your `config/model_cache` folder, use
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ------------------------------------------- |
@ -1328,7 +1328,7 @@ A TensorFlow Lite model is provided in the container at `/cpu_model.tflite` and
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **CPU** from the detector type dropdown and click **Add**. Configure the number of threads and click **Add** again to add additional CPU detectors as needed (one per camera is recommended).
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **CPU** from the detector type dropdown and click **Add**. Configure the number of threads and click **Add** again to add additional CPU detectors as needed (one per camera is recommended).
</TabItem>
<TabItem value="yaml">
@ -1364,7 +1364,7 @@ To integrate CodeProject.AI into Frigate, configure the detector as follows:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **DeepStack** from the detector type dropdown and click **Add**. Set the API URL to point to your CodeProject.AI server (e.g., `http://<your_codeproject_ai_server_ip>:<port>/v1/vision/detection`).
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **DeepStack** from the detector type dropdown and click **Add**. Set the API URL to point to your CodeProject.AI server (e.g., `http://<your_codeproject_ai_server_ip>:<port>/v1/vision/detection`).
</TabItem>
<TabItem value="yaml">
@ -1403,7 +1403,7 @@ To configure the MemryX detector, use the following example configuration:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`.
</TabItem>
<TabItem value="yaml">
@ -1423,7 +1423,7 @@ detectors:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **MemryX** from the detector type dropdown and click **Add** to add multiple detectors, specifying `PCIe:0`, `PCIe:1`, `PCIe:2`, etc. as the device for each.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **MemryX** from the detector type dropdown and click **Add** to add multiple detectors, specifying `PCIe:0`, `PCIe:1`, `PCIe:2`, etc. as the device for each.
</TabItem>
<TabItem value="yaml">
@ -1467,7 +1467,7 @@ Below is the recommended configuration for using the **YOLO-NAS** (small) model
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ------------------------------------------------- |
@ -1515,7 +1515,7 @@ Below is the recommended configuration for using the **YOLOv9** (small) model wi
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ------------------------------------------------- |
@ -1562,7 +1562,7 @@ Below is the recommended configuration for using the **YOLOX** (small) model wit
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ----------------------- |
@ -1609,7 +1609,7 @@ Below is the recommended configuration for using the **SSDLite MobileNet v2** mo
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ----------------------- |
@ -1768,7 +1768,7 @@ Use the config below to work with generated TRT models:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **TensorRT** from the detector type dropdown and click **Add**, then set the device to `0` (the default GPU index). Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **TensorRT** from the detector type dropdown and click **Add**, then set the device to `0` (the default GPU index). Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ------------------------------------------------------------ |
@ -1825,7 +1825,7 @@ Use the model configuration shown below when using the synaptics detector with t
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **Synaptics** from the detector type dropdown and click **Add**. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **Synaptics** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ---------------------------- |
@ -1879,7 +1879,7 @@ When using many cameras one detector may not be enough to keep up. Multiple dete
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **RKNN** from the detector type dropdown and click **Add** to add multiple detectors, each with `num_cores` set to `0` for automatic selection.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **RKNN** from the detector type dropdown and click **Add** to add multiple detectors, each with `num_cores` set to `0` for automatic selection.
</TabItem>
<TabItem value="yaml">
@ -1921,7 +1921,7 @@ This `config.yml` shows all relevant options to configure the detector and expla
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **RKNN** from the detector type dropdown and click **Add**. Set `num_cores` to `0` for automatic selection (increase for better performance on multicore NPUs, e.g., set to `3` on rk3588).
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **RKNN** from the detector type dropdown and click **Add**. Set `num_cores` to `0` for automatic selection (increase for better performance on multicore NPUs, e.g., set to `3` on rk3588).
</TabItem>
<TabItem value="yaml">
@ -1958,7 +1958,7 @@ The inference time was determined on a rk3588 with 3 NPU cores.
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ----------------------------------------------------------------------- |
@ -2004,7 +2004,7 @@ The pre-trained YOLO-NAS weights from DeciAI are subject to their license and ca
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | -------------------------------------------------- |
@ -2044,7 +2044,7 @@ model: # required
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ---------------------------------------------- |
@ -2138,7 +2138,7 @@ Once completed, configure the detector as follows:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to your AI server (e.g., service name, container name, or `host:port`), the zoo to `degirum/public`, and provide your authentication token if needed.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to your AI server (e.g., service name, container name, or `host:port`), the zoo to `degirum/public`, and provide your authentication token if needed.
</TabItem>
<TabItem value="yaml">
@ -2181,7 +2181,7 @@ It is also possible to eliminate the need for an AI server and run the hardware
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@local`, the zoo to `degirum/public`, and provide your authentication token.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@local`, the zoo to `degirum/public`, and provide your authentication token.
</TabItem>
<TabItem value="yaml">
@ -2218,7 +2218,7 @@ If you do not possess whatever hardware you want to run, there's also the option
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@cloud`, the zoo to `degirum/public`, and provide your authentication token.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@cloud`, the zoo to `degirum/public`, and provide your authentication token.
</TabItem>
<TabItem value="yaml">
@ -2274,7 +2274,7 @@ Use the model configuration shown below when using the axengine detector with th
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and select **AXEngine NPU** from the detector type dropdown and click **Add**. Then navigate to <NavPath path="Settings > System > Detection model" /> and configure:
Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **AXEngine NPU** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure:
| Field | Value |
| ---------------------------------------- | ----------------------- |

6
docs/docs/guides/getting_started.md
View File

@ -204,8 +204,8 @@ You need to refer to **Configure hardware acceleration** above to enable the con
<ConfigTabs>
<TabItem value="ui">
1. Navigate to <NavPath path="Settings > System > Detector hardware" /> and add a detector with **Type** `OpenVINO` and **Device** `GPU`
2. Navigate to <NavPath path="Settings > System > Detection model" /> and configure the model settings for OpenVINO:
1. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `OpenVINO` and **Device** `GPU`
2. On the same page, in the **Custom Model** tab, configure the model settings for OpenVINO:
| Field | Value |
| ---------------------------------------- | ------------------------------------------ |
@ -273,7 +273,7 @@ services:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`.
</TabItem>
<TabItem value="yaml">

4
docs/docs/integrations/plus.md
View File

@ -3,6 +3,8 @@ id: plus
title: Frigate+
---
import NavPath from "@site/src/components/NavPath";
For more information about how to use Frigate+ to improve your model, see the [Frigate+ docs](/plus/).
:::info
@ -57,7 +59,7 @@ You can view all of your submitted images at [https://plus.frigate.video](https:
Once you have [requested your first model](../plus/first_model.md) and gotten your own model ID, it can be used with a special model path. No other information needs to be configured for Frigate+ models because it fetches the remaining config from Frigate+ automatically.
You can either choose the new model from the Frigate+ pane in the Settings page of the Frigate UI, or manually set the model at the root level in your config:
You can either choose the new model from the <NavPath path="Settings > System > Detectors and model" /> pane in the Frigate UI (the **Frigate+ Model** tab), or manually set the model at the root level in your config:
```yaml
detectors: ...

4
docs/scripts/lib/nav_map.py
View File

@ -63,8 +63,8 @@ SYSTEM_NAV: dict[str, tuple[str, str]] = {
"environment_vars": ("System", "Environment variables"),
"telemetry": ("System", "Telemetry"),
"birdseye": ("System", "Birdseye"),
"detectors": ("System", "Detector hardware"),
"model": ("System", "Detection model"),
"detectors": ("System", "Detectors and model"),
"model": ("System", "Detectors and model"),
}
# All known top-level config section keys