From c524bbd6b02fe6d5255ae66966967b7d3fbc7078 Mon Sep 17 00:00:00 2001 From: Nicolas Mowen Date: Thu, 1 Aug 2024 12:46:00 -0600 Subject: [PATCH] Remove mention of older yolox model --- docs/docs/configuration/object_detectors.md | 18 +----------------- 1 file changed, 1 insertion(+), 17 deletions(-) diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index 55ef1e156..cd1430b3f 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -136,23 +136,7 @@ model: #### YOLOX -This detector also supports YOLOX. Frigate does not come with any YOLOX models preloaded, so you will need to supply your own models. This detector has been verified to work with the [yolox_tiny](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolox-tiny) model from Intel's Open Model Zoo. You can follow [these instructions](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolox-tiny#download-a-model-and-convert-it-into-openvino-ir-format) to retrieve the OpenVINO-compatible `yolox_tiny` model. Make sure that the model input dimensions match the `width` and `height` parameters, and `model_type` is set accordingly. See [Full Configuration Reference](/configuration/reference.md) for a list of possible `model_type` options. Below is an example of how `yolox_tiny` can be used in Frigate: - -```yaml -detectors: - ov: - type: openvino - device: GPU - -model: - width: 416 - height: 416 - input_tensor: nchw - input_pixel_format: bgr - model_type: yolox - path: /path/to/yolox_tiny.xml - labelmap_path: /path/to/coco_80cl.txt -``` +This detector also supports YOLOX. Frigate does not come with any YOLOX models preloaded, so you will need to supply your own models. #### YOLO-NAS