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138 lines
6.4 KiB
Python
138 lines
6.4 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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hugeFileClassify.py
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---------------------
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Date : May 2014
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Copyright : (C) 2014 by Martin Isenburg
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Email : martin near rapidlasso point com
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***************************************************************************
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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***************************************************************************
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"""
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__author__ = 'Martin Isenburg'
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__date__ = 'May 2014'
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__copyright__ = '(C) 2014, Martin Isenburg'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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import os
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from LAStoolsUtils import LAStoolsUtils
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from LAStoolsAlgorithm import LAStoolsAlgorithm
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from processing.core.parameters import ParameterBoolean
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from processing.core.parameters import ParameterSelection
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from processing.core.parameters import ParameterNumber
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class hugeFileClassify(LAStoolsAlgorithm):
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TILE_SIZE = "TILE_SIZE"
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BUFFER = "BUFFER"
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AIRBORNE = "AIRBORNE"
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TERRAIN = "TERRAIN"
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TERRAINS = ["wilderness", "nature", "town", "city", "metro"]
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GRANULARITY = "GRANULARITY"
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GRANULARITIES = ["coarse", "default", "fine", "extra_fine", "ultra_fine"]
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def defineCharacteristics(self):
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self.name, self.i18n_name = self.trAlgorithm('hugeFileClassify')
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self.group, self.i18n_group = self.trAlgorithm('LAStools Pipelines')
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self.addParametersPointInputGUI()
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self.addParameter(ParameterNumber(hugeFileClassify.TILE_SIZE,
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self.tr("tile size (side length of square tile)"),
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0, None, 1000.0))
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self.addParameter(ParameterNumber(hugeFileClassify.BUFFER,
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self.tr("buffer around each tile (avoids edge artifacts)"),
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0, None, 25.0))
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self.addParameter(ParameterBoolean(hugeFileClassify.AIRBORNE,
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self.tr("airborne LiDAR"), True))
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self.addParameter(ParameterSelection(hugeFileClassify.TERRAIN,
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self.tr("terrain type"), hugeFileClassify.TERRAINS, 1))
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self.addParameter(ParameterSelection(hugeFileClassify.GRANULARITY,
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self.tr("preprocessing"), hugeFileClassify.GRANULARITIES, 1))
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self.addParametersTemporaryDirectoryGUI()
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self.addParametersPointOutputGUI()
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self.addParametersCoresGUI()
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self.addParametersVerboseGUI()
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def processAlgorithm(self, progress):
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# first we tile the data with option '-reversible'
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commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lastile")]
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self.addParametersVerboseCommands(commands)
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self.addParametersPointInputCommands(commands)
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tile_size = self.getParameterValue(hugeFileClassify.TILE_SIZE)
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commands.append("-tile_size")
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commands.append(unicode(tile_size))
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buffer = self.getParameterValue(hugeFileClassify.BUFFER)
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if buffer != 0.0:
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commands.append("-buffer")
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commands.append(unicode(buffer))
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commands.append("-reversible")
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self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
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commands.append("-o")
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commands.append("hugeFileClassify.laz")
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LAStoolsUtils.runLAStools(commands, progress)
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# then we ground classify the reversible tiles
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commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasground")]
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self.addParametersVerboseCommands(commands)
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self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*.laz")
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airborne = self.getParameterValue(hugeFileClassify.AIRBORNE)
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if not airborne:
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commands.append("-not_airborne")
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method = self.getParameterValue(hugeFileClassify.TERRAIN)
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if method != 1:
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commands.append("-" + hugeFileClassify.TERRAINS[method])
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granularity = self.getParameterValue(hugeFileClassify.GRANULARITY)
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if granularity != 1:
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commands.append("-" + hugeFileClassify.GRANULARITIES[granularity])
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self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
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commands.append("-odix")
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commands.append("_g")
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commands.append("-olaz")
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self.addParametersCoresCommands(commands)
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LAStoolsUtils.runLAStools(commands, progress)
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# then we compute the height for each points in the reversible tiles
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commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasheight")]
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self.addParametersVerboseCommands(commands)
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self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*_g.laz")
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self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
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commands.append("-odix")
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commands.append("h")
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commands.append("-olaz")
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self.addParametersCoresCommands(commands)
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LAStoolsUtils.runLAStools(commands, progress)
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# then we classify buildings and trees in the reversible tiles
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commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasclassify")]
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self.addParametersVerboseCommands(commands)
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self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*_gh.laz")
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self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
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commands.append("-odix")
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commands.append("c")
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commands.append("-olaz")
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self.addParametersCoresCommands(commands)
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LAStoolsUtils.runLAStools(commands, progress)
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# then we reverse the tiling
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commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lastile")]
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self.addParametersVerboseCommands(commands)
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self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*_ghc.laz")
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commands.append("-reverse_tiling")
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self.addParametersPointOutputCommands(commands)
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LAStoolsUtils.runLAStools(commands, progress)
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