Introduction

RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106, RK3562).

RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform (RK3566, RK3568, RK3588, RK3588S) to help users deploy RKNN models and accelerate the implementation of AI applications.

Note:

• For the deployment of the RKNN model, please refer to:

  https://github.com/rockchip-linux/rknpu2

• For RK1808/RV1109/RV1126/RK3399Pro, please use:

  https://github.com/rockchip-linux/rknn-toolkit

  https://github.com/rockchip-linux/rknpu

  https://github.com/airockchip/RK3399Pro_npu

Download

• You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: RK_NPU_SDK, fetch code: rknn

Notes

• Currently rknn-toolkit2 is not compatible with rknn-toolkit
• Currently only support on Ubuntu 18.04 python 3.6 / Ubuntu 20.04 python 3.8 / Ubuntu 22.04 python 3.10
• Latest version:1.5.0(Release version)

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