172 lines
5.6 KiB
Python
172 lines
5.6 KiB
Python
#!/usr/bin/env python3
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# ******************************************************************************
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# $Id: rgb2pct.py 05a98f65afa7e5048cae16a58c2268510cd89103 2021-01-15 16:16:00 +0200 Idan Miara $
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#
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# Name: rgb2pct
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# Project: GDAL Python Interface
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# Purpose: Application for converting an RGB image to a pseudocolored image.
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# Author: Frank Warmerdam, warmerdam@pobox.com
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#
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# ******************************************************************************
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# Copyright (c) 2001, Frank Warmerdam
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# Copyright (c) 2020, Idan Miara <idan@miara.com>
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#
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# Permission is hereby granted, free of charge, to any person obtaining a
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# copy of this software and associated documentation files (the "Software"),
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# to deal in the Software without restriction, including without limitation
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# the rights to use, copy, modify, merge, publish, distribute, sublicense,
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# and/or sell copies of the Software, and to permit persons to whom the
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# Software is furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included
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# in all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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# DEALINGS IN THE SOFTWARE.
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# ******************************************************************************
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import os.path
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import sys
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from osgeo import gdal
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from osgeo_utils.auxiliary.util import GetOutputDriverFor, open_ds
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from osgeo_utils.auxiliary.color_table import get_color_table
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def Usage():
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print('Usage: rgb2pct.py [-n colors | -pct palette_file] [-of format] source_file dest_file')
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return 1
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def main(argv):
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color_count = 256
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driver = None
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src_filename = None
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dst_filename = None
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pct_filename = None
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argv = gdal.GeneralCmdLineProcessor(argv)
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if argv is None:
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return 0
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# Parse command line arguments.
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i = 1
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while i < len(argv):
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arg = argv[i]
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if arg == '-of' or arg == '-f':
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i = i + 1
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driver = argv[i]
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elif arg == '-n':
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i = i + 1
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color_count = int(argv[i])
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elif arg == '-pct':
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i = i + 1
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pct_filename = argv[i]
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elif src_filename is None:
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src_filename = argv[i]
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elif dst_filename is None:
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dst_filename = argv[i]
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else:
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return Usage()
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i = i + 1
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if dst_filename is None:
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return Usage()
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_ds, err = doit(src_filename, pct_filename, dst_filename, color_count, driver)
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return err
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def doit(src_filename, pct_filename=None, dst_filename=None, color_count=256, driver=None):
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# Open source file
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src_ds = open_ds(src_filename)
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if src_ds is None:
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print('Unable to open %s' % src_filename)
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return None, 1
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if src_ds.RasterCount < 3:
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print('%s has %d band(s), need 3 for inputs red, green and blue.'
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% (src_filename, src_ds.RasterCount))
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return None, 1
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# Ensure we recognise the driver.
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if not driver:
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driver = GetOutputDriverFor(dst_filename)
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dst_driver = gdal.GetDriverByName(driver)
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if dst_driver is None:
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print('"%s" driver not registered.' % driver)
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return None, 1
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# Generate palette
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if pct_filename is None:
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ct = gdal.ColorTable()
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err = gdal.ComputeMedianCutPCT(src_ds.GetRasterBand(1),
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src_ds.GetRasterBand(2),
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src_ds.GetRasterBand(3),
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color_count, ct,
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callback=gdal.TermProgress_nocb)
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else:
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ct = get_color_table(pct_filename)
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# Create the working file. We have to use TIFF since there are few formats
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# that allow setting the color table after creation.
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if driver.lower() == 'gtiff':
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tif_filename = dst_filename
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else:
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import tempfile
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tif_filedesc, tif_filename = tempfile.mkstemp(suffix='.tif')
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gtiff_driver = gdal.GetDriverByName('GTiff')
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tif_ds = gtiff_driver.Create(tif_filename,
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src_ds.RasterXSize, src_ds.RasterYSize, 1)
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tif_ds.GetRasterBand(1).SetRasterColorTable(ct)
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# ----------------------------------------------------------------------------
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# We should copy projection information and so forth at this point.
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tif_ds.SetProjection(src_ds.GetProjection())
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tif_ds.SetGeoTransform(src_ds.GetGeoTransform())
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if src_ds.GetGCPCount() > 0:
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tif_ds.SetGCPs(src_ds.GetGCPs(), src_ds.GetGCPProjection())
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# ----------------------------------------------------------------------------
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# Actually transfer and dither the data.
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err = gdal.DitherRGB2PCT(src_ds.GetRasterBand(1),
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src_ds.GetRasterBand(2),
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src_ds.GetRasterBand(3),
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tif_ds.GetRasterBand(1),
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ct,
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callback=gdal.TermProgress_nocb)
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if tif_filename == dst_filename:
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dst_ds = tif_ds
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else:
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dst_ds = dst_driver.CreateCopy(dst_filename or '', tif_ds)
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tif_ds = None
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os.close(tif_filedesc)
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gtiff_driver.Delete(tif_filename)
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return dst_ds, err
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if __name__ == '__main__':
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sys.exit(main(sys.argv))
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