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The package will be very useful for managing the raster tiles which can be used for deep learning traing dataset.\n\n## Full documentation\n\nThe complete documentation of this package is available here: https://geotile.readthedocs.io/en/latest/\n\n## Installation\n\nThe easy installation of `geotile` is by using `conda` environment,\n\n```shell\nconda install -c conda-forge geotile\n```\n\nIf you want to install it for `pip`, check the documentation here: https://geotile.readthedocs.io/en/latest/pages/install.html\n\n## Some basic examples\n\nPlease check the complete documentation here: https://geotile.readthedocs.io/en/latest/\n\n```shell\nfrom geotile import GeoTile\ngt = GeoTile(r\"path/to/raster/data.tif\")\n\n# to generate the tiles of raster\ngt.generate_tiles(r'/path/to/output/folder', tile_x=256, tile_y=256, stride_x=256, stride_y=256)\n\n# to generate the tiles of selected bands only\ngt.generate_tiles(r'/path/to/output/folder', bands=[4, 3, 2], tile_x=256, tile_y=256, stride_x=256, stride_y=256)\n\n# to merge the tiles\nfrom geotile import mosaic\nmosaic('/path/to/input/folder/tiles', output_file='path/to/output/file.tif')\n\n# to generate the raster mask from shapefile\ngt.mask('/path/to/shapefile.shp', '/path/to/output/file.tif')\n\n# to rasterize the shapefile based on column value,\ngt.rasterization(input_vector='path/to/shp.shp', out_path='path/to/output.tif' value_col=\"value_col\")\n\n# to close the file\ngt.close()\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fosgeonepal%2Fgeotile","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fosgeonepal%2Fgeotile","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fosgeonepal%2Fgeotile/lists"}