From 97a5f3092dd6c8a730425f439e83128a4b2774be Mon Sep 17 00:00:00 2001 From: Dan Brown Date: Tue, 2 Dec 2025 21:16:27 +0100 Subject: [PATCH] remove tip that indicates other YOLO models may be supported. --- docs/docs/configuration/object_detectors.md | 6 ------ 1 file changed, 6 deletions(-) diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index 14531625f..b02712a16 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -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.) -:::tip - -The YOLO detector has been designed to support YOLOv9 models, and may support other YOLO model architectures as well. - -::: -
YOLOv9 Setup & Config