Metadata-Version: 2.1
Name: descriptools
Version: 1.0.2
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
Description: <!-- PROJECT LOGO -->
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          <h2 align="center">descriptools</h2>
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            A gpu-based toolbox for terrain descriptor calculation/delineation.
            <br />
            Â·
            <a href="https://github.com/github_username/repo_name/issues">Report Bug</a>
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            <a href="https://github.com/github_username/repo_name/issues">Request Feature</a>
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          <summary><h2 style="display: inline-block">Table of Contents</h2></summary>
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            <li>
              <a href="#about-the-project">About The Project</a>
              <ul>
                <li><a href="#built-with">Built With</a></li>
              </ul>
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            <li>
              <a href="#getting-started">Getting Started</a>
              <ul>
                <li><a href="#installation">Installation</a></li>
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            <li><a href="#license">License</a></li>
            <li><a href="#contact">Contact</a></li>
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        <!-- 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)
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
