kopia lustrzana https://github.com/OpenDroneMap/ODM
55 wiersze
2.2 KiB
Python
Executable File
55 wiersze
2.2 KiB
Python
Executable File
#!/usr/bin/env python3
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# Author: Piero Toffanin
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# License: AGPLv3
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import os
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import sys
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sys.path.insert(0, os.path.join("..", "..", os.path.dirname(__file__)))
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import argparse
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import multiprocessing
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from opendm.dem import commands
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parser = argparse.ArgumentParser(description='Generate DEMs from point clouds using ODM\'s algorithm.')
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parser.add_argument('point_cloud',
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type=str,
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help='Path to point cloud file (.las, .laz, .ply)')
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parser.add_argument('--type',
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type=str,
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choices=("dsm", "dtm"),
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default="dsm",
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help="Type of DEM. Default: %(default)s")
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parser.add_argument('--resolution',
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type=float,
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default=0.05,
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help='Resolution in m/px. Default: %(default)s')
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parser.add_argument('--gapfill-steps',
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default=3,
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type=int,
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help='Number of steps used to fill areas with gaps. Set to 0 to disable gap filling. '
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'Starting with a radius equal to the output resolution, N different DEMs are generated with '
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'progressively bigger radius using the inverse distance weighted (IDW) algorithm '
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'and merged together. Remaining gaps are then merged using nearest neighbor interpolation. '
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'Default: %(default)s')
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args = parser.parse_args()
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if not os.path.exists(args.point_cloud):
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print("%s does not exist" % args.point_cloud)
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exit(1)
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outdir = os.path.dirname(args.point_cloud)
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radius_steps = [args.resolution / 2.0]
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for _ in range(args.gapfill_steps - 1):
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radius_steps.append(radius_steps[-1] * 2) # 2 is arbitrary, maybe there's a better value?
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commands.create_dem(args.point_cloud,
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args.type,
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output_type='idw' if args.type == 'dtm' else 'max',
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radiuses=list(map(str, radius_steps)),
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gapfill=args.gapfill_steps > 0,
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outdir=outdir,
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resolution=args.resolution,
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decimation=1,
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max_workers=multiprocessing.cpu_count()
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) |