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remove tip that indicates other YOLO models may be supported.

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Dan Brown 2025-12-02 21:16:27 +01:00
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docs/docs/configuration/object_detectors.md
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@ -161,12 +161,6 @@ A Tensorflow Lite is provided in the container at `/openvino-model/ssdlite_mobil
[YOLOv9](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite) models that are compiled for Tensorflow Lite and properly quantized are supported, but not included by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`. Note that the model may require a custom label file (eg. [use this 17 label file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) for the model linked above.) [YOLOv9](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite) models that are compiled for Tensorflow Lite and properly quantized are supported, but not included by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`. Note that the model may require a custom label file (eg. [use this 17 label file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) for the model linked above.)
:::tip
The YOLO detector has been designed to support YOLOv9 models, and may support other YOLO model architectures as well.
:::
<details> <details>
<summary>YOLOv9 Setup & Config</summary> <summary>YOLOv9 Setup & Config</summary>