Metadata-Version: 2.1
Name: pystem
Version: 0.0.26
Summary: A python module for segmentation of STEM images
Home-page: https://github.com/NingWang1990/pySTEM
Author: Ning Wang
Author-email: nwang@mpie.de
Maintainer: Ning Wang
Maintainer-email: nwang@mpie.de
License: GNU GPLv3
Description: # Automatic segmentation of STEM images
        
        Automatic segmentation of Scanning Transmission Electron Microscope (STEM) images with unsupervised machine learning
        
        ### Learning more
        If you want to learn more about this project, you may read [our manuscript](https://github.com/NingWang1990/pySTEM/blob/master/paper/paper_segmentation.pdf?raw=true) that is not yet completely finished, or [our presentation](https://github.com/NingWang1990/pySTEM/blob/master/slides/BiGmax2020.pdf?raw=true) for BiGmax workshop 2020.
        
        **Try it now**:
         [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/NingWang1990/pySTEM/master?filepath=examples)
        
        ## Getting Started
        
        ### Prerequisites
        python 3, numpy, scipy, scikit-learn, fftw3 
        ### Installing
        via conda, the simplest way, highly recommended
        ```
        conda install -c conda-forge pystem
        ```
        via pip
        ```
        1. First make sure that FFTW3 library is installed 
        2. pip install pystem
        ```
        via source code
        ```
        1. First make sure that FFTW3 library is installed 
        then type commands:
        git clone https://github.com/NingWang1990/pySTEM.git
        cd pySTEM
        python setup.py build
        python setup.py install --user
        ```
        
        ### How to use
        Examples can be found in the examples folder 
        Give it a try right now by simply clicking the 'launch binder' button
        
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Security :: Cryptography
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
