skinning_decomposition_kavan | clean Python reimplementation of Fast and Efficient

by tneumann Python Version: Current License: MIT

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

kandi X-RAY | skinning_decomposition_kavan Summary

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

This is a clean, minimal Python implementation of the paper. The code is in no way associated with any of the authors of the paper. I did the reimplementation for a state-of-the-art comparison for my paper "Sparse Localized Deformation Components" (SIGGRAPH Asia 2013). I thought I'd clean up the code an finally put it online ;-).

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Quality

Security

License

Reuse

Support

skinning_decomposition_kavan has a low active ecosystem.

It has 60 star(s) with 11 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 18 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of skinning_decomposition_kavan is current.

Quality

skinning_decomposition_kavan has 0 bugs and 56 code smells.

Security

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

skinning_decomposition_kavan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

skinning_decomposition_kavan is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

skinning_decomposition_kavan saves you 177 person hours of effort in developing the same functionality from scratch.

It has 437 lines of code, 19 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Solve the transformations of a vertex matrix
Form the X matrix X for the given vertices
Compute residual residual
Reconstruct the animation
Optimizes weights according to equation 3
Resolves the rest of the transformation matrix
Reduce the dimensionality reduction
Reconstruct the animation matrix

Get all kandi verified functions for this library.

skinning_decomposition_kavan Key Features

No Key Features are available at this moment for skinning_decomposition_kavan.

skinning_decomposition_kavan Examples and Code Snippets

No Code Snippets are available at this moment for skinning_decomposition_kavan.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install skinning_decomposition_kavan

You can download it from GitHub.
You can use skinning_decomposition_kavan 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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