# rknn-toolkit

**Repository Path**: linson8210/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**: 0
- **Forks**: 1
- **Created**: 2020-04-19
- **Last Updated**: 2021-11-02

## 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, RK1808, TB-RK1808S0 AI Compute Stick or RK3399Pro Linux development board.
# 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-v1.3.0-packages.tar.gz](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.3.0/rknn-toolkit-v1.3.0-packages.tar.gz "rknn-toolkit-v1.3.0-packages.tar.gz") or [rknn-toolkit-v1.3.0-packages.zip](https://github.com/rockchip-linux/rknn-toolkit/releases/download/v1.3.0/rknn-toolkit-v1.3.0-packages.zip "rknn-toolkit-v1.3.0-packages.zip ")
- All examples, docs and platform-tools are in compressed file: [Source code(zip)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.3.0.zip "Source code(zip)") or [Source code(tar.gz)](https://github.com/rockchip-linux/rknn-toolkit/archive/v1.3.0.tar.gz "Source code(tar.gz)")

# Checksums
## MD5
```
ccb5ba9f5aa02aca48bbccb49ea6ea54  rknn_toolkit-1.3.0-cp35-cp35m-linux_aarch64.whl
6b00fa8a4ca7c44965158b643b074b8b  rknn_toolkit-1.3.0-cp35-cp35m-linux_x86_64.whl
ea0936cddf76ad1e2067181e02e45dbd  rknn_toolkit-1.3.0-cp36-cp36m-linux_aarch64.whl
2c61020fd70777c996181006144ac28b  rknn_toolkit-1.3.0-cp36-cp36m-linux_x86_64.whl
52419f2b82f5b51ca9e3252c2228da3d  rknn_toolkit-1.3.0-cp36-cp36m-macosx_10_9_x86_64.whl
541b4bc2ee0c6e2511f417afc511edee  rknn_toolkit-1.3.0-cp36-cp36m-win_amd64.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
fa41deb568d5e3aee9b5543981b73896  rknn-toolkit-v1.3.0-packages.tar.gz
10f4d1844faf6b13d8fa63db57a8dbd3  rknn-toolkit-v1.3.0-packages.zip
```