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Add YOLO-Pro conversion docs (#2450)

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Co-authored-by: Matt Morley <matthew.morley.ca@gmail.com>
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Sam Freund
2026-05-03 12:31:05 -05:00
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docs/source/docs/objectDetection/opi.md
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@@ -8,6 +8,8 @@ PhotonVision runs object detection on the Orange Pi 5 by use of the RKNN model a
PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv5, YOLOv8, and YOLOv11 models trained and converted to `.rknn` format for RK3588 SOCs! Other models require different post-processing code and will NOT work.
If you have a YOLO-Pro model from Edge Impulse, it can be converted using [this notebook](https://github.com/ramalamadingdong/yolo-pro-to-yolo11/tree/main).
## Converting Custom Models
:::{warning}

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docs/source/docs/objectDetection/rubik.md
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@@ -8,6 +8,8 @@ PhotonVision runs object detection on the Rubik Pi 3 by use of [TensorflowLite](
PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv8 and YOLOv11 models trained and converted to `.tflite` format for QCS6490 SOCs! Other models require different post-processing code and will NOT work.
If you have a YOLO-Pro model from Edge Impulse, it can be converted using [this notebook](https://github.com/ramalamadingdong/yolo-pro-to-yolo11/tree/main).
## Converting Custom Models
:::{warning}