From 4c749e300468cfd37a050afba2af80a1c4396c50 Mon Sep 17 00:00:00 2001
From: Marc Altmann <40744649+MarcA711@users.noreply.github.com>
Date: Wed, 23 Apr 2025 22:30:44 +0200
Subject: [PATCH] update rknn toolkit version (#17877)

---
 docker/rockchip/Dockerfile                  | 2 +-
 docker/rockchip/requirements-wheels-rk.txt  | 4 ++--
 docs/docs/configuration/object_detectors.md | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/docker/rockchip/Dockerfile b/docker/rockchip/Dockerfile
index 59c8ad791..c38b2d49e 100644
--- a/docker/rockchip/Dockerfile
+++ b/docker/rockchip/Dockerfile
@@ -26,7 +26,7 @@ COPY --from=rootfs / /
 COPY docker/rockchip/COCO /COCO
 COPY docker/rockchip/conv2rknn.py /opt/conv2rknn.py
 
-ADD https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.3.0/librknnrt.so /usr/lib/
+ADD https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.3.2/librknnrt.so /usr/lib/
 
 ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.1-7/ffmpeg /usr/lib/ffmpeg/6.0/bin/
 ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.1-7/ffprobe /usr/lib/ffmpeg/6.0/bin/
diff --git a/docker/rockchip/requirements-wheels-rk.txt b/docker/rockchip/requirements-wheels-rk.txt
index 8d5b5efe0..f841f26db 100644
--- a/docker/rockchip/requirements-wheels-rk.txt
+++ b/docker/rockchip/requirements-wheels-rk.txt
@@ -1,2 +1,2 @@
-rknn-toolkit2 == 2.3.0
-rknn-toolkit-lite2 == 2.3.0
\ No newline at end of file
+rknn-toolkit2 == 2.3.2
+rknn-toolkit-lite2 == 2.3.2
\ No newline at end of file
diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md
index ed783e093..ebbfe01c4 100644
--- a/docs/docs/configuration/object_detectors.md
+++ b/docs/docs/configuration/object_detectors.md
@@ -811,7 +811,7 @@ Hardware accelerated object detection is supported on the following SoCs:
 - RK3576
 - RK3588
 
-This implementation uses the [Rockchip's RKNN-Toolkit2](https://github.com/airockchip/rknn-toolkit2/), version v2.3.0. Currently, only [Yolo-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) is supported as object detection model.
+This implementation uses the [Rockchip's RKNN-Toolkit2](https://github.com/airockchip/rknn-toolkit2/), version v2.3.2.
 
 ### Prerequisites
 
@@ -953,7 +953,7 @@ Explanation of the paramters:
   - `soc`: the SoC this model was build for (e.g. "rk3588")
   - `tk_version`: Version of `rknn-toolkit2` (e.g. "2.3.0")
   - **example**: Specifying `output_name = "frigate-{quant}-{input_basename}-{soc}-v{tk_version}"` could result in a model called `frigate-i8-my_model-rk3588-v2.3.0.rknn`.
-- `config`: Configuration passed to `rknn-toolkit2` for model conversion. For an explanation of all available parameters have a look at section "2.2. Model configuration" of [this manual](https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.3.0/03_Rockchip_RKNPU_API_Reference_RKNN_Toolkit2_V2.3.0_EN.pdf).
+- `config`: Configuration passed to `rknn-toolkit2` for model conversion. For an explanation of all available parameters have a look at section "2.2. Model configuration" of [this manual](https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.3.2/03_Rockchip_RKNPU_API_Reference_RKNN_Toolkit2_V2.3.2_EN.pdf).
 
 # Models