kopia lustrzana https://github.com/OpenDroneMap/ODM
117 wiersze
5.1 KiB
Python
117 wiersze
5.1 KiB
Python
import ecto
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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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class ODMeshingCell(ecto.Cell):
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def declare_params(self, params):
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params.declare("max_vertex", 'The maximum vertex count of the output '
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'mesh', 100000)
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params.declare("oct_tree", 'Oct-tree depth used in the mesh reconstruction, '
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'increase to get more vertices, recommended '
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'values are 8-12', 9)
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params.declare("samples", 'Number of points per octree node, recommended '
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'value: 1.0', 1)
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params.declare("solver", 'Oct-tree depth at which the Laplacian equation '
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'is solved in the surface reconstruction step. '
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'Increasing this value increases computation '
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'times slightly but helps reduce memory usage.', 9)
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params.declare("remove_outliers", 'Percentage of outliers to remove from the point set. Set to 0 to disable. '
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'Applies to 2.5D mesh only.', 2)
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params.declare("wlop_iterations", 'Iterations of the Weighted Locally Optimal Projection (WLOP) simplification algorithm. '
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'Higher values take longer but produce a smoother mesh. '
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'Applies to 2.5D mesh only. ', 70)
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params.declare("verbose", 'print additional messages to console', False)
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def declare_io(self, params, inputs, outputs):
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inputs.declare("tree", "Struct with paths", [])
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inputs.declare("args", "The application arguments.", {})
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inputs.declare("reconstruction", "Clusters output. list of ODMReconstructions", [])
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outputs.declare("reconstruction", "Clusters output. list of ODMReconstructions", [])
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def process(self, inputs, outputs):
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# Benchmarking
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start_time = system.now_raw()
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log.ODM_INFO('Running ODM Meshing Cell')
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# get inputs
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args = self.inputs.args
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tree = self.inputs.tree
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verbose = '-verbose' if self.params.verbose else ''
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# define paths and create working directories
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system.mkdir_p(tree.odm_meshing)
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# check if we rerun cell or not
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rerun_cell = (args.rerun is not None and
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args.rerun == 'odm_meshing') or \
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(args.rerun_all) or \
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(args.rerun_from is not None and
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'odm_meshing' in args.rerun_from)
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infile = tree.opensfm_model
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if args.use_pmvs:
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infile = tree.pmvs_model
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if not io.file_exists(tree.odm_mesh) or rerun_cell:
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log.ODM_DEBUG('Writing ODM Mesh file in: %s' % tree.odm_mesh)
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kwargs = {
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'bin': context.odm_modules_path,
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'outfile': tree.odm_mesh,
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'infile': infile,
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'log': tree.odm_meshing_log,
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'max_vertex': self.params.max_vertex,
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'oct_tree': self.params.oct_tree,
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'samples': self.params.samples,
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'solver': self.params.solver,
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'verbose': verbose
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}
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# run meshing binary
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system.run('{bin}/odm_meshing -inputFile {infile} '
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'-outputFile {outfile} -logFile {log} '
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'-maxVertexCount {max_vertex} -octreeDepth {oct_tree} {verbose} '
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'-samplesPerNode {samples} -solverDivide {solver}'.format(**kwargs))
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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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# Do we need to generate a 2.5D mesh also?
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if args.use_25dmesh:
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if not io.file_exists(tree.odm_25dmesh) or rerun_cell:
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log.ODM_DEBUG('Writing ODM 2.5D Mesh file in: %s' % tree.odm_25dmesh)
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kwargs = {
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'bin': context.odm_modules_path,
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'outfile': tree.odm_25dmesh,
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'infile': infile,
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'log': tree.odm_25dmeshing_log,
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'verbose': verbose,
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'max_vertex': self.params.max_vertex,
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'remove_outliers': self.params.remove_outliers,
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'wlop_iterations': self.params.wlop_iterations
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}
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# run 2.5D meshing binary
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system.run('{bin}/odm_25dmeshing -inputFile {infile} '
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'-outputFile {outfile} -logFile {log} '
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'-maxVertexCount {max_vertex} -outliersRemovalPercentage {remove_outliers} '
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'-wlopIterations {wlop_iterations} {verbose}'.format(**kwargs))
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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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if args.time:
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system.benchmark(start_time, tree.benchmarking, 'Meshing')
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log.ODM_INFO('Running ODM Meshing Cell - Finished')
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return ecto.OK if args.end_with != 'odm_meshing' else ecto.QUIT
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