# rknn-toolkit1

**Repository Path**: magic_public_transportation/rknn-toolkit1

## Basic Information

- **Project Name**: rknn-toolkit1
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-27
- **Last Updated**: 2021-01-27

## 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-v1.6.0-packages.tar.gz](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.6.0/rknn-toolkit-v1.6.0-packages.tar.gz "rknn-toolkit-v1.6.0-packages.tar.gz") or [rknn-toolkit-v1.6.0-packages.zip](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.6.0/rknn-toolkit-v1.6.0-packages.zip "rknn-toolkit-v1.6.0-packages.zip ")
- All examples, docs and platform-tools are in compressed file: [Source code(zip)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.6.0.zip "Source code(zip)") or [Source code(tar.gz)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.6.0.tar.gz "Source code(tar.gz)")
- You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: [rknn-toolkit-v1.6.0](https://eyun.baidu.com/s/3pMaUc23 "rknn-toolkit-v1.6.0"), fetch code: rknn
# Checksums
## MD5
```
ff57f2a47ab689c55781010212101487  rknn_toolkit-1.6.0-cp35-cp35m-linux_aarch64.whl
c78b639257eae244b3eecb7704870868  rknn_toolkit-1.6.0-cp35-cp35m-linux_x86_64.whl
a12735a87adba1f076d8287021656e3e  rknn_toolkit-1.6.0-cp36-cp36m-linux_x86_64.whl
5d06c3c69d4dc4685b705737abeea397  rknn_toolkit-1.6.0-cp36-cp36m-macosx_10_15_x86_64.whl
c739b5241a3759b3be0e18f3e51c311b  rknn_toolkit-1.6.0-cp36-cp36m-win_amd64.whl
484d137e55e050b200e03dca7d4be9be  rknn_toolkit-1.6.0-cp37-cp37m-linux_aarch64.whl
796084a448cfdc7fb05e5ad3b14cf95a  rknn_toolkit-1.6.0-cp37-cp37m-macosx_10_15_x86_64.whl

21340838f8f0aaef6037fbb9c3e9c207  rknn_toolkit_lite-1.6.0-cp35-cp35m-linux_aarch64.whl
620b3879e4b4af59e5e25d4d5669465a  rknn_toolkit_lite-1.6.0-cp35-cp35m-linux_x86_64.whl
d79513f29f4c375f3e67d70c096da740  rknn_toolkit_lite-1.6.0-cp36-cp36m-linux_armv7l.whl
0d7d6d73cddba1dff40971c60b46d21c  rknn_toolkit_lite-1.6.0-cp36-cp36m-linux_x86_64.whl
898bd498323d38ae775a57328e357d4c  rknn_toolkit_lite-1.6.0-cp36-cp36m-macosx_10_15_x86_64.whl
7428142cd3328a2d6110788f0b42995f  rknn_toolkit_lite-1.6.0-cp36-cp36m-win_amd64.whl
38beb3cd2d4d1e9acbf2ced392531466  rknn_toolkit_lite-1.6.0-cp37-cp37m-linux_aarch64.whl
b7714006489a9e6d3f8188f2c01beeaa  rknn_toolkit_lite-1.6.0-cp37-cp37m-macosx_10_15_x86_64.whl

01b5fc9366df6c2bd0f4a315dce76337  rknn-toolkit-v1.6.0-packages.tar.gz
87e57404650ed8a7d718fbb368ad69db  rknn-toolkit-v1.6.0-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
- 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>