Metadata-Version: 2.1
Name: cogconverter
Version: 0.2.2
Summary: Utility to convert raster dataset to Cloud Optimized GeoTIFFs
Home-page: https://github.com/ManishSahu53/cogconverter.git
Author: Manish Sahu
Author-email: manish.sahu.civ13@iitbhu.ac.in
License: GPLv3+
Description: COG
        ===
        
        Introduction
        ------------
        
        It validates the TIF and convert it into COG compliant using gdal.
        Following are the Use-Cases kept in mind while designing:
        
        1. Large TIF that cannot be fit into memory
        2. Reading data block by block, so can be run of even low memory server
        3. Supports Multiband TIFs
        4. 3-4 Band uint8 TIF (Orthomosaic)
        5. Building pyramids if not available (This will improve rendering
           speed)
        6. Compressing data
        7. Compressing to the same compression format as the original TIF. If
           original TIF was not compressed then LZW lossless compression is used
           to compress.
        8. Tile whole into 256x256 smaller blocks internally
        
        Validator.py
        ~~~~~~~~~~~~
        
        It will validate tiff for COG format.
        
        Converter.py
        ~~~~~~~~~~~~
        
        It has the actual converter function which converts tifs into COG format
        
        To-Do
        -----
        
        1. Multi-core processing for faster results.
        
        How to Run
        ----------
        
        1. Inside python console
        
        ::
        
           import cogconverter as cog
           import gdal
        
           path_tif = 'sentinel2.tif'
           path_output = 'sentinel2_cog.tif'
        
           ds = gdal.Open(path)
        
           ds = cog.converter.convert2blocksize(ds, path_output)
           ds.FlushCache()
        
        
Keywords: GIS,Cloud,GDAL
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Utilities
Provides-Extra: dev
