kopia lustrzana https://github.com/OpenDroneMap/ODM
76 wiersze
3.3 KiB
Python
76 wiersze
3.3 KiB
Python
import os, math
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from opendm import log
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from opendm import io
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from opendm import system
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from opendm import context
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from opendm import mesh
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from opendm import gsd
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from opendm import types
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class ODMeshingStage(types.ODM_Stage):
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def process(self, args, outputs):
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tree = outputs['tree']
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reconstruction = outputs['reconstruction']
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# define paths and create working directories
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system.mkdir_p(tree.odm_meshing)
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# Create full 3D model unless --skip-3dmodel is set
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if not args.skip_3dmodel:
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if not io.file_exists(tree.odm_mesh) or self.rerun():
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log.ODM_INFO('Writing ODM Mesh file in: %s' % tree.odm_mesh)
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mesh.screened_poisson_reconstruction(tree.filtered_point_cloud,
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tree.odm_mesh,
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depth=self.params.get('oct_tree'),
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samples=self.params.get('samples'),
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maxVertexCount=self.params.get('max_vertex'),
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pointWeight=self.params.get('point_weight'),
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threads=max(1, self.params.get('max_concurrency') - 1)), # poissonrecon can get stuck on some machines if --threads == all cores
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else:
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log.ODM_WARNING('Found a valid ODM Mesh file in: %s' %
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tree.odm_mesh)
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self.update_progress(50)
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# Always generate a 2.5D mesh
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# unless --use-3dmesh is set.
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if not args.use_3dmesh:
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if not io.file_exists(tree.odm_25dmesh) or self.rerun():
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log.ODM_INFO('Writing ODM 2.5D Mesh file in: %s' % tree.odm_25dmesh)
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ortho_resolution = gsd.cap_resolution(args.orthophoto_resolution, tree.opensfm_reconstruction,
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ignore_gsd=args.ignore_gsd,
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ignore_resolution=(not reconstruction.is_georeferenced()) and args.ignore_gsd,
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has_gcp=reconstruction.has_gcp()) / 100.0
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dsm_multiplier = max(1.0, gsd.rounded_gsd(tree.opensfm_reconstruction, default_value=4, ndigits=3, ignore_gsd=args.ignore_gsd))
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# A good DSM size depends on the flight altitude.
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# Flights at low altitude need more details (higher resolution)
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# Flights at higher altitude benefit from smoother surfaces (lower resolution)
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dsm_resolution = ortho_resolution * dsm_multiplier
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dsm_radius = dsm_resolution * math.sqrt(2)
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if args.fast_orthophoto:
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dsm_radius *= 2
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dsm_resolution *= 8
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log.ODM_INFO('ODM 2.5D DSM resolution: %s' % dsm_resolution)
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mesh.create_25dmesh(tree.filtered_point_cloud, tree.odm_25dmesh,
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dsm_radius=dsm_radius,
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dsm_resolution=dsm_resolution,
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depth=self.params.get('oct_tree'),
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maxVertexCount=self.params.get('max_vertex'),
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samples=self.params.get('samples'),
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available_cores=args.max_concurrency,
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method='poisson' if args.fast_orthophoto else 'gridded',
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smooth_dsm=True)
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else:
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log.ODM_WARNING('Found a valid ODM 2.5D Mesh file in: %s' %
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tree.odm_25dmesh)
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