---
description: 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.
keywords: 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! 🙏

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

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