# rknn-toolkit

**Repository Path**: daniel-wu/rknn-toolkit

## Basic Information

- **Project Name**: rknn-toolkit
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-09-30
- **Last Updated**: 2021-07-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Introduction
RKNN-Toolkit is a software development kit for users to perform model conversion, inference and performance evaluation on PC, RK3399Pro(D), RK1806, RK1808, RV1109, RV1126.
# Download
From version 1.3.0, some wheel packages are larger than 100MB, can not be uploaded directly. So, you need to go to the releases page to download.
You can download from releases page: https://github.com/rockchip-linux/rknn-toolkit/releases
- All wheel packages are in compressed file: [rknn-toolkit-v1.4.0-packages.tar.gz](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.4.0/rknn-toolkit-v1.4.0-packages.tar.gz "rknn-toolkit-v1.4.0-packages.tar.gz") or [rknn-toolkit-v1.4.0-packages.zip](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.4.0/rknn-toolkit-v1.4.0-packages.zip "rknn-toolkit-v1.4.0-packages.zip ")
- All examples, docs and platform-tools are in compressed file: [Source code(zip)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.4.0.zip "Source code(zip)") or [Source code(tar.gz)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.4.0.tar.gz "Source code(tar.gz)")
- You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: [rknn-toolkit-v1.4.0](https://eyun.baidu.com/s/3dOJ8o2 "rknn-toolkit-v1.4.0"), fetch code: rknn
# Checksums
## MD5
```
61cafa8bb3799d8271a78d28e5184fa4  rknn_toolkit-1.4.0-cp35-cp35m-linux_aarch64.whl
716992b55d32599f8f7351d28f6df20a  rknn_toolkit-1.4.0-cp35-cp35m-linux_x86_64.whl
7ad5a148d3f8f7252ba82539eaff7231  rknn_toolkit-1.4.0-cp36-cp36m-linux_x86_64.whl
3fa2933675ff961c5bdc1829e9ed7927  rknn_toolkit-1.4.0-cp36-cp36m-macosx_10_15_x86_64.whl
ebc0dd17f2eb0e7b3f5f7209e79be3ea  rknn_toolkit-1.4.0-cp36-cp36m-win_amd64.whl
01d8b9918ef0f8e5670206ef38ea61af  rknn_toolkit-1.4.0-cp37-cp37m-linux_aarch64.whl
c13a761e59806814f4b646aaa25df35a  rknn_toolkit-1.4.0-cp37-cp37m-macosx_10_15_x86_64.whl

8ab6ffcb1c356d5ab593ca838456fb37  rknn_toolkit_lite-1.4.0-cp35-cp35m-linux_aarch64.whl
3a1e727e5ae091e89908a98c9b02225d  rknn_toolkit_lite-1.4.0-cp35-cp35m-linux_x86_64.whl
9efe46ee33f8d90a9d5ac847c1f1a358  rknn_toolkit_lite-1.4.0-cp36-cp36m-linux_x86_64.whl
9d6d561fcca1fcd5e2bfefb86ad44fda  rknn_toolkit_lite-1.4.0-cp36-cp36m-macosx_10_15_x86_64.whl
86922085f7ba43ed3b210255a188e653  rknn_toolkit_lite-1.4.0-cp36-cp36m-win_amd64.whl
23b6ac94c834e77fcbe5d7c2cd98245d  rknn_toolkit_lite-1.4.0-cp37-cp37m-linux_aarch64.whl
130efb12b7e0b6ea7760047c9924800d  rknn_toolkit_lite-1.4.0-cp37-cp37m-macosx_10_15_x86_64.whl

023a3237f9a4f76fd9d497f675072027  rknn-toolkit-v1.4.0-packages.tar.gz
b49e190fd66dca2e30880326b24ab9ad  rknn-toolkit-v1.4.0-packages.zip

45336b5e6c648024bf4fd98c87988bfe  onnx-1.4.1-cp37-cp37m-macosx_10_15_x86_64.whl
b24d5e9fc75ef2d578ae7570f20441bc  opencv_python_headless-4.0.1.23-cp35-cp35m-linux_aarch64.whl
412077d6df25968607889606d105f271  tensorflow-1.11.0-cp35-none-linux_aarch64.whl
4fd89161bcb2a64ce2f71c0f63644b71  lmdb-0.95-cp36-cp36m-win_amd64.whl
```
# Feedback and Community Suport
- Forum: Issues and Questions are welcome at [Toybrick`s Forum](http://t.rock-chips.com/forum.php)
- QQ Group Chat: 1025468710
<p align="center"><img width="200" height="200"  src="https://github.com/rockchip-linux/rknn-toolkit/blob/master/QQGroupQRCode.png"/></p>
<p align="center">QQ Group Chat</p>