res-loglikelihood-regression | Human Pose Regression with Residual Log

by Jeff-sjtu Python Version: Current License: No License

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

kandi X-RAY | res-loglikelihood-regression Summary

res-loglikelihood-regression is a Python library. res-loglikelihood-regression has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

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Quality

Security

License

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Support

res-loglikelihood-regression has a low active ecosystem.

It has 373 star(s) with 42 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 28 open issues and 28 have been closed. On average issues are closed in 23 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of res-loglikelihood-regression is current.

Quality

res-loglikelihood-regression has no bugs reported.

Security

res-loglikelihood-regression has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

res-loglikelihood-regression 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

res-loglikelihood-regression releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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res-loglikelihood-regression Key Features

No Key Features are available at this moment for res-loglikelihood-regression.

res-loglikelihood-regression Examples and Code Snippets

No Code Snippets are available at this moment for res-loglikelihood-regression.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install res-loglikelihood-regression

Install pytorch >= 1.1.0 following official instruction.
Install rlepose:
Install COCOAPI.
Init data directory:
Download COCO data, MPII (annotations) and Human3.6M data (from PoseNet or ours):

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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