kopia lustrzana https://github.com/OpenDroneMap/ODM
154 wiersze
6.8 KiB
Python
154 wiersze
6.8 KiB
Python
import ecto, os, json
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from shutil import copyfile
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from opendm import io
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from opendm import log
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from opendm import system
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from opendm import context
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from opendm import types
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class ODMDEMCell(ecto.Cell):
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def declare_params(self, params):
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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", "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 DEM 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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las_model_found = io.file_exists(tree.odm_georeferencing_model_las)
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env_paths = [context.superbuild_bin_path]
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# Just to make sure
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l2d_module_installed = True
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try:
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system.run('l2d_classify --help > /dev/null', env_paths)
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except:
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log.ODM_WARNING('lidar2dems is not installed properly')
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l2d_module_installed = False
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log.ODM_INFO('Create DSM: ' + str(args.dsm))
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log.ODM_INFO('Create DTM: ' + str(args.dtm))
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log.ODM_INFO('DEM input file {0} found: {1}'.format(tree.odm_georeferencing_model_las, str(las_model_found)))
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# Do we need to process anything here?
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if (args.dsm or args.dtm) and las_model_found and l2d_module_installed:
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# define paths and create working directories
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odm_dem_root = tree.path('odm_dem')
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system.mkdir_p(odm_dem_root)
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dsm_output_filename = os.path.join(odm_dem_root, 'dsm.tif')
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dtm_output_filename = os.path.join(odm_dem_root, 'dtm.tif')
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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_dem') 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_dem' in args.rerun_from)
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if (args.dtm and not io.file_exists(dtm_output_filename)) or \
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(args.dsm and not io.file_exists(dsm_output_filename)) or \
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rerun_cell:
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# Process with lidar2dems
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terrain_params_map = {
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'flatnonforest': (1, 3),
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'flatforest': (1, 2),
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'complexnonforest': (5, 2),
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'complexforest': (10, 2)
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}
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terrain_params = terrain_params_map[args.dem_terrain_type.lower()]
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kwargs = {
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'verbose': '-v' if self.params.verbose else '',
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'slope': terrain_params[0],
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'cellsize': terrain_params[1],
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'outdir': odm_dem_root,
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'site': ''
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}
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if args.crop > 0:
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bounds_shapefile_path = os.path.join(tree.odm_georeferencing, 'odm_georeferenced_model.bounds.shp')
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if os.path.exists(bounds_shapefile_path):
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kwargs['site'] = '-s {}'.format(bounds_shapefile_path)
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l2d_params = '--slope {slope} --cellsize {cellsize} ' \
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'{verbose} ' \
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'-o {site} ' \
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'--outdir {outdir}'.format(**kwargs)
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approximate = '--approximate' if args.dem_approximate else ''
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# Classify only if we need a DTM
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run_classification = args.dtm
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if run_classification:
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system.run('l2d_classify {0} --decimation {1} '
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'{2} --initialDistance {3} {4}'.format(
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l2d_params, args.dem_decimation, approximate,
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args.dem_initial_distance, tree.odm_georeferencing), env_paths)
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else:
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log.ODM_INFO("Will skip classification, only DSM is needed")
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l2d_classified_pattern = 'odm_georeferenced_model.bounds-0_l2d_s{slope}c{cellsize}.las' if args.crop > 0 else 'l2d_s{slope}c{cellsize}.las'
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copyfile(tree.odm_georeferencing_model_las, os.path.join(odm_dem_root, l2d_classified_pattern.format(**kwargs)))
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products = []
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if args.dsm: products.append('dsm')
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if args.dtm: products.append('dtm')
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radius_steps = [args.dem_resolution]
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for _ in range(args.dem_gapfill_steps - 1):
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radius_steps.append(radius_steps[-1] * 3) # 3 is arbitrary, maybe there's a better value?
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for product in products:
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demargs = {
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'product': product,
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'indir': odm_dem_root,
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'l2d_params': l2d_params,
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'maxsd': args.dem_maxsd,
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'maxangle': args.dem_maxangle,
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'resolution': args.dem_resolution,
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'radius_steps': ' '.join(map(str, radius_steps)),
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'gapfill': '--gapfill' if args.dem_gapfill_steps > 0 else '',
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# If we didn't run a classification, we should pass the decimate parameter here
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'decimation': '--decimation {0}'.format(args.dem_decimation) if not run_classification else ''
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}
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system.run('l2d_dems {product} {indir} {l2d_params} '
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'--maxsd {maxsd} --maxangle {maxangle} '
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'--resolution {resolution} --radius {radius_steps} '
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'{decimation} '
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'{gapfill} '.format(**demargs), env_paths)
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# Rename final output
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if product == 'dsm':
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dsm_pattern = 'odm_georeferenced_model.bounds-0_dsm.idw.tif' if args.crop > 0 else 'dsm.idw.tif'
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os.rename(os.path.join(odm_dem_root, dsm_pattern), dsm_output_filename)
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elif product == 'dtm':
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dtm_pattern = 'odm_georeferenced_model.bounds-0_dsm.idw.tif' if args.crop > 0 else 'dtm.idw.tif'
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os.rename(os.path.join(odm_dem_root, dtm_pattern), dtm_output_filename)
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else:
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log.ODM_WARNING('Found existing outputs in: %s' % odm_dem_root)
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else:
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log.ODM_WARNING('DEM will not be generated')
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if args.time:
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system.benchmark(start_time, tree.benchmarking, 'Dem')
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log.ODM_INFO('Running ODM DEM Cell - Finished')
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return ecto.OK if args.end_with != 'odm_dem' else ecto.QUIT
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