Metadata-Version: 2.1
Name: rawls
Version: 0.0.8
Summary: RAW Light Simulation file reader/converter package
Home-page: https://github.com/prise-3d/rawls
Author: Jérôme BUISINE
Author-email: jerome.buisine@univ-littoral.fr
License: MIT
Description: RAW Light Simulation reader/converter package
        =============================================
        
        <p align="center">
            <img src="https://github.com/prise-3d/rawls/blob/master/rawls_logo.png" width="50%">
        </p>
        
        Description
        -----------
        
        `rawls` is a python package developed during a thesis project. It enables to manage `.rawls` image file extension. The image extension `.rawls` is used to store all samples values of images obtained during rendering of synthesis images. This output extension is available in a custom version of [pbrt-v3](https://github.com/prise-3d/pbrt-v3) details.
        
        Installation
        ------------
        
        ```bash
        pip install rawls
        ```
        
        How to use ?
        ------------
        
        To use, simply do :
        
        ```python
        from rawls.classes.rawls import Rawls
        path = 'images/example.rawls'
        rawls_img = Rawls.load(path)
        rawls_img.to_png('output.png')
        ```
        
        Modules
        -------
        
        This project contains modules.
        
        - **converter** : *Converter functions in order to convert image into another*
        - **merger** : *Merger functions which enables to merge `.rawls` image files*
        
        All these modules will be enhanced during development of the package. Documentation is available [here](https://prise-3d.github.io/rawls/).
        
        How to contribute
        -----------------
        
        Please refer to the [guidelines](CONTRIBUTING.md) file if you want to contribute!
        
        ## Contributors
        
        * [jbuisine](https://github.com/jbuisine)
        
        ## License
        
        [MIT](LICENSE)
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
