kopia lustrzana https://github.com/OpenDroneMap/ODM
Remove need for one intermediate raster
rodzic
7261c29efc
commit
b14ffd919a
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@ -67,7 +67,7 @@ error = None
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def create_dem(input_point_cloud, dem_type, output_type='max', radiuses=['0.56'], gapfill=True,
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outdir='', resolution=0.1, max_workers=1, max_tile_size=4096,
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decimation=None, keep_unfilled_copy=False,
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decimation=None, with_euclidean_map=False,
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apply_smoothing=True, max_tiles=None):
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""" Create DEM from multiple radii, and optionally gapfill """
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@ -123,7 +123,7 @@ def create_dem(input_point_cloud, dem_type, output_type='max', radiuses=['0.56']
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run('gdalbuildvrt -input_file_list "%s" "%s" ' % (tiles_file_list, tiles_vrt_path))
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merged_vrt_path = os.path.abspath(os.path.join(outdir, "merged.vrt"))
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geotiff_tmp_path = os.path.abspath(os.path.join(outdir, 'tiles.tmp.tif'))
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# geotiff_tmp_path = os.path.abspath(os.path.join(outdir, 'tiles.tmp.tif'))
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geotiff_small_path = os.path.abspath(os.path.join(outdir, 'tiles.small.tif'))
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geotiff_small_filled_path = os.path.abspath(os.path.join(outdir, 'tiles.small_filled.tif'))
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geotiff_path = os.path.abspath(os.path.join(outdir, 'tiles.tif'))
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@ -135,7 +135,6 @@ def create_dem(input_point_cloud, dem_type, output_type='max', radiuses=['0.56']
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'tiles_vrt': tiles_vrt_path,
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'merged_vrt': merged_vrt_path,
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'geotiff': geotiff_path,
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'geotiff_tmp': geotiff_tmp_path,
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'geotiff_small': geotiff_small_path,
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'geotiff_small_filled': geotiff_small_filled_path
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}
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@ -144,19 +143,13 @@ def create_dem(input_point_cloud, dem_type, output_type='max', radiuses=['0.56']
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# Sometimes, for some reason gdal_fillnodata.py
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# behaves strangely when reading data directly from a .VRT
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# so we need to convert to GeoTIFF first.
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run('gdal_translate '
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'-co NUM_THREADS={threads} '
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'-co BIGTIFF=IF_SAFER '
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'--config GDAL_CACHEMAX {max_memory}% '
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'"{tiles_vrt}" "{geotiff_tmp}"'.format(**kwargs))
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# Scale to 10% size
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run('gdal_translate '
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'-co NUM_THREADS={threads} '
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'-co BIGTIFF=IF_SAFER '
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'--config GDAL_CACHEMAX {max_memory}% '
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'-outsize 10% 0 '
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'"{geotiff_tmp}" "{geotiff_small}"'.format(**kwargs))
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'"{tiles_vrt}" "{geotiff_small}"'.format(**kwargs))
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# Fill scaled
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gdal_fillnodata(['.',
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@ -168,7 +161,7 @@ def create_dem(input_point_cloud, dem_type, output_type='max', radiuses=['0.56']
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kwargs['geotiff_small'], kwargs['geotiff_small_filled']])
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# Merge filled scaled DEM with unfilled DEM using bilinear interpolation
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run('gdalbuildvrt -resolution highest -r bilinear "%s" "%s" "%s"' % (merged_vrt_path, geotiff_small_filled_path, geotiff_tmp_path))
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run('gdalbuildvrt -resolution highest -r bilinear "%s" "%s" "%s"' % (merged_vrt_path, geotiff_small_filled_path, tiles_vrt_path))
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run('gdal_translate '
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'-co NUM_THREADS={threads} '
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'-co TILED=YES '
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@ -191,14 +184,14 @@ def create_dem(input_point_cloud, dem_type, output_type='max', radiuses=['0.56']
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else:
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os.replace(geotiff_path, output_path)
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if os.path.exists(geotiff_tmp_path):
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if not keep_unfilled_copy:
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os.remove(geotiff_tmp_path)
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else:
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os.replace(geotiff_tmp_path, io.related_file_path(output_path, postfix=".unfilled"))
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if os.path.exists(tiles_vrt_path):
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if with_euclidean_map:
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emap_path = io.related_file_path(output_path, postfix=".euclideand")
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compute_euclidean_map(tiles_vrt_path, emap_path, overwrite=True)
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for cleanup_file in [tiles_vrt_path, tiles_file_list, merged_vrt_path, geotiff_small_path, geotiff_small_filled_path]:
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if os.path.exists(cleanup_file): os.remove(cleanup_file)
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for t in tiles:
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if os.path.exists(t['filename']): os.remove(t['filename'])
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@ -100,7 +100,7 @@ class ODMDEMStage(types.ODM_Stage):
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resolution=resolution / 100.0,
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decimation=args.dem_decimation,
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max_workers=args.max_concurrency,
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keep_unfilled_copy=args.dem_euclidean_map,
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with_euclidean_map=args.dem_euclidean_map,
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max_tiles=None if reconstruction.has_geotagged_photos() else math.ceil(len(reconstruction.photos) / 2)
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)
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@ -112,15 +112,11 @@ class ODMDEMStage(types.ODM_Stage):
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Cropper.crop(bounds_file_path, dem_geotiff_path, utils.get_dem_vars(args), keep_original=not args.optimize_disk_space)
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if args.dem_euclidean_map:
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unfilled_dem_path = io.related_file_path(dem_geotiff_path, postfix=".unfilled")
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emap_path = io.related_file_path(dem_geotiff_path, postfix=".euclideand")
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if args.crop > 0 or args.boundary:
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# Crop unfilled DEM
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Cropper.crop(bounds_file_path, unfilled_dem_path, utils.get_dem_vars(args), keep_original=not args.optimize_disk_space)
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# Crop euclidean map
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Cropper.crop(bounds_file_path, emap_path, utils.get_dem_vars(args), keep_original=not args.optimize_disk_space)
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commands.compute_euclidean_map(unfilled_dem_path,
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io.related_file_path(dem_geotiff_path, postfix=".euclideand"),
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overwrite=True)
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if pseudo_georeference:
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pseudogeo.add_pseudo_georeferencing(dem_geotiff_path)
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