kopia lustrzana https://github.com/OpenDroneMap/ODM
86 wiersze
3.8 KiB
Python
86 wiersze
3.8 KiB
Python
import os
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from opendm import context
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from opendm import types
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from opendm import io
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from opendm import system
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from opendm import log
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from stages.dataset import ODMLoadDatasetStage
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from stages.run_opensfm import ODMOpenSfMStage
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from stages.openmvs import ODMOpenMVSStage
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from stages.odm_slam import ODMSlamStage
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from stages.odm_meshing import ODMeshingStage
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from stages.mvstex import ODMMvsTexStage
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from stages.odm_georeferencing import ODMGeoreferencingStage
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from stages.odm_orthophoto import ODMOrthoPhotoStage
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from stages.odm_dem import ODMDEMStage
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from stages.odm_filterpoints import ODMFilterPoints
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from stages.splitmerge import ODMSplitStage, ODMMergeStage
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from stages.odm_report import ODMReport
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class ODMApp:
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def __init__(self, args):
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"""
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Initializes the application and defines the ODM application pipeline stages
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"""
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if args.debug:
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log.logger.show_debug = True
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dataset = ODMLoadDatasetStage('dataset', args, progress=5.0,
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verbose=args.verbose)
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split = ODMSplitStage('split', args, progress=75.0)
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merge = ODMMergeStage('merge', args, progress=100.0)
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opensfm = ODMOpenSfMStage('opensfm', args, progress=25.0)
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slam = ODMSlamStage('slam', args)
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openmvs = ODMOpenMVSStage('openmvs', args, progress=50.0)
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filterpoints = ODMFilterPoints('odm_filterpoints', args, progress=52.0)
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meshing = ODMeshingStage('odm_meshing', args, progress=60.0,
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max_vertex=args.mesh_size,
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oct_tree=args.mesh_octree_depth,
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samples=args.mesh_samples,
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point_weight=args.mesh_point_weight,
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max_concurrency=args.max_concurrency,
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verbose=args.verbose)
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texturing = ODMMvsTexStage('mvs_texturing', args, progress=70.0,
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data_term=args.texturing_data_term,
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outlier_rem_type=args.texturing_outlier_removal_type,
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skip_vis_test=args.texturing_skip_visibility_test,
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skip_glob_seam_leveling=args.texturing_skip_global_seam_leveling,
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skip_loc_seam_leveling=args.texturing_skip_local_seam_leveling,
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skip_hole_fill=args.texturing_skip_hole_filling,
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keep_unseen_faces=args.texturing_keep_unseen_faces,
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tone_mapping=args.texturing_tone_mapping)
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georeferencing = ODMGeoreferencingStage('odm_georeferencing', args, progress=80.0,
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gcp_file=args.gcp,
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verbose=args.verbose)
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dem = ODMDEMStage('odm_dem', args, progress=90.0,
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max_concurrency=args.max_concurrency,
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verbose=args.verbose)
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orthophoto = ODMOrthoPhotoStage('odm_orthophoto', args, progress=98.0)
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report = ODMReport('odm_report', args, progress=100.0)
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# Normal pipeline
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self.first_stage = dataset
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dataset.connect(split) \
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.connect(merge) \
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.connect(opensfm)
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if args.use_opensfm_dense or args.fast_orthophoto:
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opensfm.connect(filterpoints)
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else:
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opensfm.connect(openmvs) \
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.connect(filterpoints)
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filterpoints \
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.connect(meshing) \
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.connect(texturing) \
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.connect(georeferencing) \
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.connect(dem) \
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.connect(orthophoto) \
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.connect(report)
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def execute(self):
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self.first_stage.run() |