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Nicolas Mowen 2025-04-17 19:35:37 -06:00
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docs/docs/configuration/object_detectors.md
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@ -682,6 +682,29 @@ model:
Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
#### YOLOx
[YOLOx](https://github.com/Megvii-BaseDetection/YOLOX) models are supported, but not included by default.
After placing the downloaded onnx model in your config folder, you can use the following configuration:
```yaml
detectors:
onnx:
type: onnx
model:
model_type: yolox
width: 416 # <--- should match the imgsize set during model export
height: 416 # <--- should match the imgsize set during model export
input_tensor: nchw_denorm
input_dtype: float
path: /config/model_cache/yolox_tiny.onnx
labelmap_path: /labelmap/coco-80.txt
```
Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
#### RF-DETR
[RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more information on downloading the RF-DETR model for use in Frigate.
@ -962,6 +985,10 @@ The input image size in this notebook is set to 320x320. This results in lower C
### Downloading YOLO Models
#### YOLOx
YOLOx models can be downloaded [from the YOLOx repo](https://github.com/Megvii-BaseDetection/YOLOX/tree/main/demo/ONNXRuntime).
#### YOLOv3, YOLOv4, and YOLOv7
To export as ONNX: