Metadata-Version: 2.1
Name: pyebsdindex
Version: 0.1.0
Summary: Python based tool for Hough/Radon based EBSD indexing
Home-page: https://pyebsdindex.readthedocs.io
Download-URL: https://pypi.python.org/pypi/pyebsdindex
Author: ['Dave Rowenhorst', 'Håkon Wiik Ånes']
Maintainer: Dave Rowenhorst
Maintainer-email: 
License: Custom
Project-URL: Bug Tracker, https://github.com/USNavalResearchLaboratory/PyEBSDIndex/issues
Project-URL: Documentation, https://pyebsdindex.readthedocs.io
Project-URL: Source Code, https://github.com/USNavalResearchLaboratory/PyEBSDIndex
Keywords: EBSD,electron backscatter diffraction,HI,Hough indexing
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: Other/Proprietary License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
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License-File: License
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# PyEBSDIndex

Python based tool for Hough/Radon based EBSD orientation indexing.

[![Build status](https://github.com/USNavalResearchLaboratory/PyEBSDIndex/actions/workflows/build.yml/badge.svg)](https://github.com/USNavalResearchLaboratory/PyEBSDIndex/actions/workflows/build.yml)
[![Documentation status](https://readthedocs.org/projects/pyebsdindex/badge/?version=latest)](https://pyebsdindex.readthedocs.io/en/latest/)
[![PyPI version](https://img.shields.io/pypi/v/pyebsdindex.svg)](https://pypi.python.org/pypi/pyebsdindex)

The pattern processing is based on a GPU pipeline, and is based on the work of S. I.
Wright and B. L. Adams. Metallurgical Transactions A-Physical Metallurgy and Materials
Science, 23(3):759–767, 1992, and N. Krieger Lassen. Automated Determination of Crystal
Orientations from Electron Backscattering Patterns. PhD thesis, The Technical University
of Denmark, 1994.

The band indexing is achieved through triplet voting using the methods outlined by A.
Morawiec. Acta Crystallographica Section A Foundations and Advances, 76(6):719–734,
2020.

Additionally NLPAR pattern processing is included (original distribution
[NLPAR](https://github.com/USNavalResearchLaboratory/NLPAR); P. T. Brewick, S. I.
Wright, and D. J. Rowenhorst. Ultramicroscopy, 200:50–61, May 2019.).

Documentation with installation instructions, a user guide, API reference, changelog,
and contributing guide is available at https://pyebsdindex.readthedocs.io.

## Installation

See [the documentation](https://pyebsdindex.readthedocs.io/en/latest/installation.html)
for installation instructions.
