rknn-toolkit | software development kit that provides users

by rockchip-linux Python Version: v1.7.3 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | rknn-toolkit Summary

rknn-toolkit is a Python library. rknn-toolkit has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However rknn-toolkit build file is not available. You can download it from GitHub.

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.

Support

Quality

Security

License

Reuse

Support

rknn-toolkit has a low active ecosystem.

It has 560 star(s) with 159 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 279 open issues and 59 have been closed. On average issues are closed in 61 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rknn-toolkit is v1.7.3

Quality

rknn-toolkit has no bugs reported.

Security

rknn-toolkit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

rknn-toolkit is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rknn-toolkit releases are available to install and integrate.

rknn-toolkit has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed rknn-toolkit and discovered the below as its top functions. This is intended to give you an instant insight into rknn-toolkit implemented functionality, and help decide if they suit your requirements.

Post - processing post - processing
Intersect two boxes
Computes the softmax of x
Converts a model to RKNN
Parse model config file
Convert a label to a color image
Create a colormap colormap
Create a label colormap
Create a colormap
Gets the bits at the given index
Prints the output of the given outputs
Run onnx
Export a pytorch model

Get all kandi verified functions for this library.

rknn-toolkit Key Features

No Key Features are available at this moment for rknn-toolkit.

rknn-toolkit Examples and Code Snippets

No Code Snippets are available at this moment for rknn-toolkit.

Community Discussions

No Community Discussions are available at this moment for rknn-toolkit.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rknn-toolkit

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-v1.7.1-packages.tar.gz or rknn-toolkit-v1.7.1-packages.zip
All examples, docs and platform-tools are in compressed file: Source code(zip) or Source code(tar.gz)
You can also download all packages, docker image, examples, docs and platform-tools from baidu cloud: rknn-toolkit-v1.7.1, fetch code: rknn