6DVNET | 单目3d目标检测，没有实现weighted-non-local部分

by zstu-lly Python Version: Current License: No License

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

kandi X-RAY | 6DVNET Summary

6DVNET is a Python library. 6DVNET has no bugs, it has no vulnerabilities and it has low support. However 6DVNET build file is not available. You can download it from GitHub.

单目3d目标检测，没有实现weighted-non-local部分

Support

Quality

Security

License

Reuse

Support

6DVNET has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 18 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 6DVNET is current.

Quality

6DVNET has no bugs reported.

Security

6DVNET has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

6DVNET does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

6DVNET releases are not available. You will need to build from source code and install.

6DVNET has no build file. You will be need to create the build yourself to build the component from source.

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6DVNET Key Features

No Key Features are available at this moment for 6DVNET.

6DVNET Examples and Code Snippets

No Code Snippets are available at this moment for 6DVNET.

Community Discussions

No Community Discussions are available at this moment for 6DVNET.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install 6DVNET

You can download it from GitHub.
You can use 6DVNET like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: