MMS_SLAM

by wh200720041 Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | MMS_SLAM Summary

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

MMS_SLAM

Support

Quality

Security

License

Reuse

Support

MMS_SLAM has a low active ecosystem.

It has 117 star(s) with 21 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MMS_SLAM is current.

Quality

MMS_SLAM has no bugs reported.

Security

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

License

MMS_SLAM 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

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

MMS_SLAM 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.

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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MMS_SLAM

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MMS_SLAM Key Features

No Key Features are available at this moment for MMS_SLAM.

MMS_SLAM Examples and Code Snippets

No Code Snippets are available at this moment for MMS_SLAM.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MMS_SLAM

create conda environment (you need to install conda first). install PyTorch and torchvision following the official instruction (find your cuda version). it takes a while (a few minutes to install).
If you have new Realsense L515 sensor, you may follow the below setup instructions.

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: