DeepConvLstm_for_Actionrecog | A implementation of the paper : DeepConvLstm

by Richardych Python Version: Current License: No License

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kandi X-RAY | DeepConvLstm_for_Actionrecog Summary

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

A implementation of the paper: "DeepConvLstm", which about action recognition.

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DeepConvLstm_for_Actionrecog has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of DeepConvLstm_for_Actionrecog is current.

Quality

DeepConvLstm_for_Actionrecog has no bugs reported.

Security

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

License

DeepConvLstm_for_Actionrecog 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

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

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

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DeepConvLstm_for_Actionrecog Key Features

No Key Features are available at this moment for DeepConvLstm_for_Actionrecog.

DeepConvLstm_for_Actionrecog Examples and Code Snippets

No Code Snippets are available at this moment for DeepConvLstm_for_Actionrecog.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install DeepConvLstm_for_Actionrecog

You can download it from GitHub.
You can use DeepConvLstm_for_Actionrecog 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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