Metadata-Version: 2.1
Name: descriptools
Version: 1.0.3
Summary: A gpu-based toolbox for terrain descriptor calculation/delineation
Home-page: https://github.com/JVBSouza/descriptools
License: MIT
Download-URL: https://github.com/JVBSouza/descriptools/archive/master.zip
Keywords: hidrology,gis,flood
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Environment :: GPU :: NVIDIA CUDA
Description-Content-Type: text/markdown
License-File: LICENSE.txt

<!-- PROJECT LOGO -->
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<p align="center">
  <h2 align="center">descriptools</h2>
  <p align="center">
    A gpu-based toolbox for terrain descriptor calculation/delineation.
    <br />
    Â·
    <a href="https://github.com/github_username/repo_name/issues">Report Bug</a>
    Â·
    <a href="https://github.com/github_username/repo_name/issues">Request Feature</a>
  </p>
</p>
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<!-- TABLE OF CONTENTS -->
<details open="open">
  <summary><h2 style="display: inline-block">Table of Contents</h2></summary>
  <ol>
    <li>
      <a href="#about-the-project">About The Project</a>
      <ul>
        <li><a href="#built-with">Built With</a></li>
      </ul>
    </li>
    <li>
      <a href="#getting-started">Getting Started</a>
      <ul>
        <li><a href="#installation">Installation</a></li>
      </ul>
    </li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
  </ol>
</details>


<!-- ABOUT THE PROJECT -->
## About The Project
Terrain descriptors present information of the earth surface and its relationship with water movement.
This toolbox was devised to reduce calculation time of these descriptors with GPU parallelization. As well as functions to produce flood map via linear binary classification. </br>
This toolbox was made for reviewing process of Computer and Geosciences journal for the manuscript entitled: <b>Parallelized geomorphic descriptors for flood-prone areas delineation</b>



### Built With

* [Python](https://www.python.org/)
* [NumPy](https://numpy.org/)
* [Numba](https://numba.pydata.org/)



<!-- GETTING STARTED -->
## Getting Started

To get a local copy up and running follow these simple steps.



### PIP
You can install descriptools using pip:
   ```sh
   pip install descriptools
   ```


<!-- LICENSE -->
## License

Distributed under the MIT License. See `LICENSE` for more information.

<!-- CONTACT -->
## Contact

Authors: JosÃ© VinÃ­cius Boinf de Souza and Pedro Luiz Borges Chaffe

Developer: JosÃ© VinÃ­cius Boing de Souza

Contact address: joseboing@gmail.com

Project Link: [https://github.com/JVBSouza/descriptools](https://github.com/JVBSouza/descriptools)

