ContributedTools | Contributed tools and algorithms using ASTRA

by astra-toolbox Python Version: Current License: No License

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

kandi X-RAY | ContributedTools Summary

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

This file is part of the TVR-DART Toolbox. Author: Dr. Xiaodong ZHUGE. Copyright: 2016, CWI, Amsterdam. License: Open Source under GPLv3.

Support

Quality

Security

License

Reuse

Support

ContributedTools has a low active ecosystem.

It has 5 star(s) with 5 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ContributedTools is current.

Quality

ContributedTools has no bugs reported.

Security

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

License

ContributedTools 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

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

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

Top functions reviewed by kandi - BETA

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

Function to create a TMR - D projection
Estimate joint parameters for joint parameters
Convert a parameter value into a parameter vector
Convenience function to reconstruct the recursion
Wrapper for the SIRT2 GPU
Wrapper for SIRT2
Reconstruction function for SIRT3D
Estimate joint parameters
Convert a parameter into a parameter vector

Get all kandi verified functions for this library.

ContributedTools Key Features

No Key Features are available at this moment for ContributedTools.

ContributedTools Examples and Code Snippets

No Code Snippets are available at this moment for ContributedTools.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ContributedTools

You can download it from GitHub.
You can use ContributedTools 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

This is a Python implementation of TVR-DART algorithm (Total Variation Regularized Discrete Algebraic Reconstruction Technique), a robust and automated reconsturction algorithm for performing discrete tomography under limited data conditions. Currently we support 2D and 3D parallel beam geometries, orianted for electron tomography. The basic forward and backward projection operations are GPU-accelerated by utilizing the python interface of the ASTRA tomography toolbox (http://www.astra-toolbox.com/).

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