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fix: docs for YOLOv11 naming (#1806)

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Sam Freund
2025-03-09 17:11:56 -05:00
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commit a3304818d2
2 changed files with 5 additions and 5 deletions
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docs/source/docs/objectDetection/about-object-detection.md
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@@ -44,11 +44,11 @@ Before beginning, it is necessary to install the [rknn-toolkit2](https://github.
## Uploading Custom Models
:::{warning}
PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv5, YOLOv8, and YOLO11 models trained and converted to `.rknn` format for RK3588 CPUs! Other models require different post-processing code and will NOT work. The model conversion process is also highly particular. Proceed with care.
PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv5, YOLOv8, and YOLOv11 models trained and converted to `.rknn` format for RK3588 CPUs! Other models require different post-processing code and will NOT work. The model conversion process is also highly particular. Proceed with care.
:::
In the settings, under `Device Control`, there's an option to upload a new object detection model. Naming convention
should be `name-verticalResolution-horizontalResolution-modelType`. The
should be `name-verticalResolution-horizontalResolution-yolovXXX`. The
`name` should only include alphanumeric characters, periods, and underscores. Additionally, the labels
file ought to have the same name as the RKNN file, with `-labels` appended to the end. For
example, if the RKNN file is named `Algae_1.03.2025-640-640-yolov5s.rknn`, the labels file should be