Metadata-Version: 1.0
Name: EMaligner
Version: 1.0.2
Summary: global alignment of features between images
Home-page: https://github.com/AllenInstitute/EM_Aligner_python
Author: Daniel Kapner
Author-email: danielk@alleninstitute.org
License: UNKNOWN
Description: .. image:: https://travis-ci.org/AllenInstitute/EM_aligner_python.svg?branch=master
           :target: https://travis-ci.org/AllenInstitute/EM_aligner_python
           :alt: Build Status
        .. image:: https://codecov.io/gh/AllenInstitute/EM_aligner_python/branch/master/graph/badge.svg
          :target: https://codecov.io/gh/AllenInstitute/EM_aligner_python
        .. image:: https://readthedocs.org/projects/em-aligner-python/badge/?version=latest
          :target: https://em-aligner-python.readthedocs.io/en/latest/?badge=latest
          :alt: Documentation Status
        
        NOTE
        ####
        
        This package has been renamed BigFeta and this repo/package will no longer be updated.
        The new repository:
        
        https://github.com/AllenInstitute/BigFeta
        
        The new package:
        https://pypi.org/project/bigfeta/
          
        
        EM_aligner_python
        #################
        
        Alignment of EM datasets. Builds sparse matrices from tilespecs and pointmatch collections and solves for new transforms using constrained linear least squares.
        
        Level of support
        ################
        We are planning on occasional updating this tool with no fixed schedule. Community involvement is encouraged through both issues and pull requests.
        
        Documentation
        #############
        https://em-aligner-python.readthedocs.io/en/latest/index.html
        
        Acknowledgement of Government Sponsorship
        #########################################
        
        Supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior / Interior Business Center (DoI/IBC) contract number D16PC00004. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government.
        
        
        
Platform: UNKNOWN
