gridding_method_minimal_oversampling | Gridding method

by arcaduf Python Version: Current License: No License

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kandi X-RAY | gridding_method_minimal_oversampling Summary

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

This repository contains a mixed Python/C implementation of the gridding projectors with minimal oversampling.

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gridding_method_minimal_oversampling has a low active ecosystem.

It has 2 star(s) with 3 fork(s). There are 1 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 gridding_method_minimal_oversampling is current.

Quality

gridding_method_minimal_oversampling has no bugs reported.

Security

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

License

gridding_method_minimal_oversampling 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

gridding_method_minimal_oversampling 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 are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Main function for tomographic GRIDing .
get argparse arguments
Initialize the system .
Plot multiple images .
Searches for the cross - correlation matrix .
Compute the k - point polynomial .
r Save a sinogram .
r Compute the matching matching of the template matching the given pattern .
Compute the difference between a sino - golay - Golay - Golay - Golay .
Plot the image .

Get all kandi verified functions for this library.

gridding_method_minimal_oversampling Key Features

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gridding_method_minimal_oversampling Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install gridding_method_minimal_oversampling

Basic compilers like gcc and g++ and the FFTW library are required. The simplest way to use the code is with an Anaconda environment equipped with python-2.7, scipy, scikit-image and Cython. If setup.py runs without giving any error all subroutines in C have been installed and your python version meets all dependencies. If you run python setup.py 1 (you can use any other character than 1), the all executables, temporary and build folders are deleted, the test data are placed in .zip files. In this way, the repository is restored to its original status, right after the download.
Create the Anaconda environment (if not created yet): conda create -n iter-rec python=2.7 anaconda.
Install required Python packages: conda install -n iter-rec scipy scikit-image Cython.
Activate the environment: source activate iter-rec.
git clone git@github.com:arcaduf/gridding_method_minimal_oversampling.git.
Install routines in C: python setup.py.

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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