LRPNet | Official implementations for `` Long Range Pooling

by Visual-Attention-Network Python Version: Current License: Apache-2.0

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

kandi X-RAY | LRPNet Summary

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

Official implementations for "Long Range Pooling for 3D Large-Scale Scene Understanding" (CVPR 2023)

Support

Quality

Security

License

Reuse

Support

LRPNet has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

LRPNet has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LRPNet is current.

Quality

LRPNet has no bugs reported.

Security

LRPNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

LRPNet is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

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LRPNet Key Features

No Key Features are available at this moment for LRPNet.

LRPNet Examples and Code Snippets

No Code Snippets are available at this moment for LRPNet.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install LRPNet

You can download it from GitHub.
You can use LRPNet 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 .

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