Metadata-Version: 2.1
Name: rasterMiner
Version: 0.1
Summary: This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
Home-page: https://github.com/udayRage/PAMI
Author: Rage Uday Kiran
Author-email: uday.rage@gmail.com
License: GPLv3
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: psutil
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: resource
Requires-Dist: mplcursors
Requires-Dist: sklearn
Requires-Dist: pami
Requires-Dist: sklearn-extensions

# RasterMiner

## Installation using Anaconda.

1. Install and set up Anaconda. URL:   https://linuxize.com/post/how-to-install-anaconda-on-centos-7
2. Create a virtual environment using conda.

       conda create --name rasterMiner

3. Enter into virtual environment. 

       conda activate rasterMiner

4. Install python using Conda.  

       conda install python

5. Install GDAL using Conda

       conda install gdal

6. Open the terminal in pycharm, and execute the following command

       pip install mplcursors matplotlib sklearn pandas

7. Clone the rasterMiner repository using git clone command

       git clone https://github.com/udayRage/rasterMiner.git

8. Execute the rasterMiner code by typing the following command

        python rasterMiner/rasterMiner/GUI/main.py





