DeepMAR_deploy | Deploy version of DeepMAR from Multi-attribute learning | Topic Modeling library

by kyu-sz C++ Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | DeepMAR_deploy Summary

DeepMAR_deploy is a C++ library typically used in Artificial Intelligence, Topic Modeling, Pytorch, Spring Boot applications. DeepMAR_deploy has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Deploy version of DeepMAR from "Multi-attribute learning for pedestrian attribute recognition".

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Support

DeepMAR_deploy has a low active ecosystem.

It has 28 star(s) with 12 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepMAR_deploy is current.

Quality

DeepMAR_deploy has no bugs reported.

Security

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

License

DeepMAR_deploy is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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DeepMAR_deploy Key Features

No Key Features are available at this moment for DeepMAR_deploy.

DeepMAR_deploy Examples and Code Snippets

No Code Snippets are available at this moment for DeepMAR_deploy.

Community Discussions

Trending Discussions on DeepMAR_deploy

Re-declaration of cmath functions in CUDA's math_functions.h

QUESTION

Re-declaration of cmath functions in CUDA's math_functions.h

Asked 2017-May-10 at 06:03

I included “cuda_runtime.h” in my project. It then raises compilation error:

...

ANSWER

Answered 2017-May-10 at 06:03

You should never import math_functions.h into plain host code, and with g++ 4.8.5, I get an #error generated from within the header file if I try to do so. If you import cuda_runtime.h into your host code correctly, it will never import math_functions.h incorrectly:

Source https://stackoverflow.com/questions/43865401

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

Vulnerabilities

No vulnerabilities reported

Install DeepMAR_deploy

You can download it from GitHub.

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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