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Update docs for rknn yolov9

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Nicolas Mowen 2025-04-18 16:35:05 -06:00
parent 3460ca5dc5
commit a708f3f139
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docs/docs/configuration/object_detectors.md
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@ -849,6 +849,7 @@ The inference time was determined on a rk3588 with 3 NPU cores.
| deci-fp16-yolonas_s | 24 | 25 | | deci-fp16-yolonas_s | 24 | 25 |
| deci-fp16-yolonas_m | 62 | 35 | | deci-fp16-yolonas_m | 62 | 35 |
| deci-fp16-yolonas_l | 81 | 45 | | deci-fp16-yolonas_l | 81 | 45 |
| yolov9_tiny | 8 | 35 |
| yolox_nano | 3 | 16 | | yolox_nano | 3 | 16 |
| yolox_tiny | 6 | 20 | | yolox_tiny | 6 | 20 |
@ -865,6 +866,7 @@ model: # required
# - deci-fp16-yolonas_m # - deci-fp16-yolonas_m
# - deci-fp16-yolonas_l # - deci-fp16-yolonas_l
path: deci-fp16-yolonas_s path: deci-fp16-yolonas_s
model_type: yolonas
width: 320 width: 320
height: 320 height: 320
input_pixel_format: bgr input_pixel_format: bgr
@ -878,6 +880,23 @@ The pre-trained YOLO-NAS weights from DeciAI are subject to their license and ca
::: :::
#### YOLO (v9)
```yaml
model: # required
# name of model (will be automatically downloaded) or path to your own .rknn model file
# possible values are:
# - yolov9-t
# - yolov9-s
path: /config/model_cache/rknn_cache/yolov9-t.rknn
model_type: yolo-generic
width: 320
height: 320
input_tensor: nhwc
input_dtype: float
labelmap_path: /labelmap/coco-80.txt
```
#### YOLOx #### YOLOx
```yaml ```yaml
@ -887,6 +906,7 @@ model: # required
# - yolox_nano # - yolox_nano
# - yolox_tiny # - yolox_tiny
path: yolox_tiny path: yolox_tiny
model_type: yolox
width: 416 width: 416
height: 416 height: 416
input_tensor: nhwc input_tensor: nhwc