mmdeploy | MMDeploy is an open-source deep learning model deployment

by AllentDan C++ Version: Current License: Apache-2.0

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

kandi X-RAY | mmdeploy Summary

mmdeploy is a C++ library. mmdeploy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project.

Support

Quality

Security

License

Reuse

Support

mmdeploy has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of mmdeploy is current.

Quality

mmdeploy has no bugs reported.

Security

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

License

mmdeploy 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

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

Installation instructions, examples and code snippets are available.

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mmdeploy Key Features

No Key Features are available at this moment for mmdeploy.

mmdeploy Examples and Code Snippets

No Code Snippets are available at this moment for mmdeploy.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install mmdeploy

Please refer to build.md for installation.
Please see getting_started.md for the basic usage of MMDeploy. We also provide other tutorials for:. Please refer to FAQ for frequently asked questions.
how to convert model
how to write config
how to support new models
how to measure performance of models

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: