# 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).

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.

# Download
- You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: [rknn-toolkit2-v1.2.0](https://eyun.baidu.com/s/3jJ4k51s), fetch code: rknn

# Notes
- Currently rknn-toolkit2 is not compatible with [rknn-toolkit](https://github.com/rockchip-linux/rknn-toolkit)
- Currently only support on Ubuntu 18.04  python 3.6
- If you have problem about RKNN-Toolkit2, it is recommended to create a issue or get answers from [Issues](https://github.com/rockchip-linux/rknn-toolkit2/issues).
- Latest version:1.2.0(Release version)

# Checksums
## MD5
```
148f076c8707b066307f169975259bbb  rknn_toolkit2-1.2.0_f7bb160f-cp36-cp36m-linux_x86_64.whl

fdf38d4ec4a8a0ac3c9faeba38baa908  rknn-toolkit2-1.2.0-cp36-docker.tar.gz

e4430d25066487172a4a861b04098495  rknn_toolkit_lite2-1.2.0-cp37-cp37m-linux_aarch64.whl

dd9f5509d3342b6cbc52d5814d0909d3  rknn_toolkit_lite2-1.2.0-cp39-cp39-linux_aarch64.whl
```
# Feedback and Community Suport
Two ways are followed:
- [Issues](https://github.com/rockchip-linux/rknn-toolkit2/issues) (**Feedback recommended**)
- QQ Group Chat: 1025468710 **welcome for developer**
<p align="center"><img width="200" height="200"  src="https://github.com/rockchip-linux/rknn-toolkit2/blob/master/QQGroupQRCode.png"/></p>
<p align="center">QQ Group Chat</p>