superglue_apply | 深度学习特征点匹配算法SuperGluePretrainedNetwork https

by mingjitianming Python Version: Current License: No License

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

kandi X-RAY | superglue_apply Summary

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

深度学习特征点匹配算法SuperGluePretrainedNetwork https://github.com/magicleap/SuperGluePretrainedNetwork C++部署

Support

Quality

Security

License

Reuse

Support

superglue_apply has a low active ecosystem.

It has 34 star(s) with 8 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 7 have been closed. On average issues are closed in 77 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of superglue_apply is current.

Quality

superglue_apply has no bugs reported.

Security

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

License

superglue_apply 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

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

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

Top functions reviewed by kandi - BETA

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

Forward convolutional layer
Simple nms algorithm
Max pooling function
Compute log optimal transport
Performs log - of - sink iteration
Forward attention
Compute the attention function
Normalize keypoints

Get all kandi verified functions for this library.

superglue_apply Key Features

No Key Features are available at this moment for superglue_apply.

superglue_apply Examples and Code Snippets

No Code Snippets are available at this moment for superglue_apply.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install superglue_apply

You can download it from GitHub.
You can use superglue_apply 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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