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ultralytics/docs/en/reference/utils/export/rknn.md
Onuralp SEZER b73dce8813
refactor: split Exporter export methods into per-format utility modules (#23914) 
Signed-off-by: Onuralp SEZER <onuralp@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Lakshantha Dissanayake <lakshantha@ultralytics.com>
Co-authored-by: Jing Qiu <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
2026-03-27 18:38:56 +08:00

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description keywords
RKNN export utilities for converting ONNX models to RKNN format for Rockchip NPUs. Supports deployment on RK3588 and other Rockchip platforms for optimized inference on edge devices. Ultralytics, RKNN, model export, ONNX to RKNN, Rockchip, NPU, RK3588, edge AI, embedded systems, neural network, hardware acceleration

Reference for ultralytics/utils/export/rknn.py

!!! success "Improvements"

This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/export/rknn.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/export/rknn.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏

::: ultralytics.utils.export.rknn.onnx2rknn