1*4882a593Smuzhiyun# Introduction 2*4882a593SmuzhiyunRKNN-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). 3*4882a593Smuzhiyun 4*4882a593SmuzhiyunRKNN-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. 5*4882a593Smuzhiyun 6*4882a593SmuzhiyunNote: 7*4882a593Smuzhiyun 8*4882a593Smuzhiyun- For the deployment of the RKNN model, please refer to: 9*4882a593Smuzhiyun 10*4882a593Smuzhiyun https://github.com/rockchip-linux/rknpu2 11*4882a593Smuzhiyun 12*4882a593Smuzhiyun- For RK1808/RV1109/RV1126/RK3399Pro, please use: 13*4882a593Smuzhiyun 14*4882a593Smuzhiyun https://github.com/rockchip-linux/rknn-toolkit 15*4882a593Smuzhiyun 16*4882a593Smuzhiyun https://github.com/rockchip-linux/rknpu 17*4882a593Smuzhiyun 18*4882a593Smuzhiyun https://github.com/airockchip/RK3399Pro_npu 19*4882a593Smuzhiyun 20*4882a593Smuzhiyun# Download 21*4882a593Smuzhiyun- You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: [RK_NPU_SDK](https://eyun.baidu.com/s/3eTDMk6Y), fetch code: rknn 22*4882a593Smuzhiyun 23*4882a593Smuzhiyun# Notes 24*4882a593Smuzhiyun- Currently rknn-toolkit2 is not compatible with [rknn-toolkit](https://github.com/rockchip-linux/rknn-toolkit) 25*4882a593Smuzhiyun- Currently only support on Ubuntu 18.04 python 3.6 / Ubuntu 20.04 python 3.8 / Ubuntu 22.04 python 3.10 26*4882a593Smuzhiyun- Latest version:1.5.0(Release version) 27*4882a593Smuzhiyun 28*4882a593Smuzhiyun# Feedback and Community Support 29*4882a593Smuzhiyun- [Redmine](https://redmine.rock-chips.com) (**Feedback recommended, Please consult our sales or FAE for the redmine account**) 30*4882a593Smuzhiyun- QQ Group Chat: 1025468710 (full, please join group 2) 31*4882a593Smuzhiyun- QQ Group Chat2: 547021958 32*4882a593Smuzhiyun<center class="half"> 33*4882a593Smuzhiyun <img width="200" height="200" src="https://github.com/rockchip-linux/rknn-toolkit/blob/master/QQGroupQRCode.png" title="QQ Group Chat"/> 34*4882a593Smuzhiyun <img width="200" height="200" src="https://github.com/rockchip-linux/rknn-toolkit/blob/master/QQGroup2QRCode.png" title="QQ Group Chat2"/> 35*4882a593Smuzhiyun</center>
