From c195d7ccc0de719b5b5558b74ee263c3257ce5e3 Mon Sep 17 00:00:00 2001 From: Sam Freund Date: Sun, 3 May 2026 12:31:05 -0500 Subject: [PATCH] Add YOLO-Pro conversion docs (#2450) Co-authored-by: Matt Morley --- docs/source/docs/objectDetection/opi.md | 2 ++ docs/source/docs/objectDetection/rubik.md | 2 ++ 2 files changed, 4 insertions(+) diff --git a/docs/source/docs/objectDetection/opi.md b/docs/source/docs/objectDetection/opi.md index c724dc598..209fa41ca 100644 --- a/docs/source/docs/objectDetection/opi.md +++ b/docs/source/docs/objectDetection/opi.md @@ -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} diff --git a/docs/source/docs/objectDetection/rubik.md b/docs/source/docs/objectDetection/rubik.md index 0ab786630..64872856f 100644 --- a/docs/source/docs/objectDetection/rubik.md +++ b/docs/source/docs/objectDetection/rubik.md @@ -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}