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#!/usr/bin/env python3 # ****************************************************************************** # # Project: GDAL Python Interface # Purpose: Application for applying sieve filter to raster data. # Author: Frank Warmerdam, warmerdam@pobox.com # # ****************************************************************************** # Copyright (c) 2008, Frank Warmerdam # Copyright (c) 2009-2010, Even Rouault # Copyright (c) 2021, Idan Miara # # SPDX-License-Identifier: MIT # ****************************************************************************** import sys from typing import Optional from osgeo import gdal from osgeo_utils.auxiliary.base import PathLikeOrStr from osgeo_utils.auxiliary.util import GetOutputDriverFor, enable_gdal_exceptions def Usage(isError=True): f = sys.stderr if isError else sys.stdout print( """Usage: gdal_sieve [--help] [--help-general] [-q] [-st threshold] [-4] [-8] [-o name=value] [-nomask] [-mask filename] [-of format] []""", file=f, ) return 2 if isError else 0 def main(argv=sys.argv): threshold = 2 connectedness = 4 quiet = False src_filename = None dst_filename = None driver_name = None mask = "default" argv = gdal.GeneralCmdLineProcessor(argv) if argv is None: return 0 # Parse command line arguments. i = 1 while i < len(argv): arg = argv[i] if arg == "--help": return Usage(isError=False) elif arg == "-of" or arg == "-f": i = i + 1 driver_name = argv[i] elif arg == "-4": connectedness = 4 elif arg == "-8": connectedness = 8 elif arg == "-q" or arg == "-quiet": quiet = True elif arg == "-st": i = i + 1 threshold = int(argv[i]) elif arg == "-nomask": mask = "none" elif arg == "-mask": i = i + 1 mask = argv[i] elif arg == "-mask": i = i + 1 mask = argv[i] elif arg[:2] == "-h": return Usage() elif src_filename is None: src_filename = argv[i] elif dst_filename is None: dst_filename = argv[i] else: return Usage() i = i + 1 if src_filename is None: return Usage() return gdal_sieve( src_filename=src_filename, dst_filename=dst_filename, driver_name=driver_name, mask=mask, threshold=threshold, connectedness=connectedness, quiet=quiet, ) @enable_gdal_exceptions def gdal_sieve( src_filename: Optional[str] = None, dst_filename: PathLikeOrStr = None, driver_name: Optional[str] = None, mask: str = "default", threshold: int = 2, connectedness: int = 4, quiet: bool = False, ): # ============================================================================= # Verify we have next gen bindings with the sievefilter method. # ============================================================================= try: gdal.SieveFilter except AttributeError: print("") print('gdal.SieveFilter() not available. You are likely using "old gen"') print("bindings or an older version of the next gen bindings.") print("") return 1 # ============================================================================= # Open source file # ============================================================================= if dst_filename is None: src_ds = gdal.Open(src_filename, gdal.GA_Update) else: src_ds = gdal.Open(src_filename, gdal.GA_ReadOnly) if src_ds is None: print("Unable to open %s " % src_filename) return 1 srcband = src_ds.GetRasterBand(1) if mask == "default": maskband = srcband.GetMaskBand() elif mask == "none": maskband = None else: mask_ds = gdal.Open(mask) maskband = mask_ds.GetRasterBand(1) # ============================================================================= # Create output file if one is specified. # ============================================================================= if dst_filename is not None: if driver_name is None: driver_name = GetOutputDriverFor(dst_filename) drv = gdal.GetDriverByName(driver_name) dst_ds = drv.Create( dst_filename, src_ds.RasterXSize, src_ds.RasterYSize, 1, srcband.DataType ) wkt = src_ds.GetProjection() if wkt != "": dst_ds.SetProjection(wkt) gt = src_ds.GetGeoTransform(can_return_null=True) if gt is not None: dst_ds.SetGeoTransform(gt) dstband = dst_ds.GetRasterBand(1) nodata = srcband.GetNoDataValue() if nodata is not None: dstband.SetNoDataValue(nodata) else: dstband = srcband # ============================================================================= # Invoke algorithm. # ============================================================================= if quiet: prog_func = None else: prog_func = gdal.TermProgress_nocb result = gdal.SieveFilter( srcband, maskband, dstband, threshold, connectedness, callback=prog_func ) src_ds = None dst_ds = None mask_ds = None return result if __name__ == "__main__": sys.exit(main(sys.argv))