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			91 lines
		
	
	
		
			3.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			91 lines
		
	
	
		
			3.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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    lasnoisePro.py
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    ---------------------
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    Date                 : October 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__ = 'October 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 ParameterNumber
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from processing.core.parameters import ParameterSelection
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class lasnoisePro(LAStoolsAlgorithm):
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    ISOLATED = "ISOLATED"
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    STEP_XY = "STEP_XY"
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    STEP_Z = "STEP_Z"
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    OPERATION = "OPERATION"
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    OPERATIONS = ["classify", "remove"]
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    CLASSIFY_AS = "CLASSIFY_AS"
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    def defineCharacteristics(self):
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        self.name = "lasnoisePro"
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        self.group = "LAStools Production"
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        self.addParametersPointInputFolderGUI()
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        self.addParameter(ParameterNumber(lasnoisePro.ISOLATED,
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            self.tr("isolated if surrounding cells have only"), 0, None, 5))
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        self.addParameter(ParameterNumber(lasnoisePro.STEP_XY,
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            self.tr("resolution of isolation grid in xy"), 0, None, 4.0))
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        self.addParameter(ParameterNumber(lasnoisePro.STEP_Z,
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            self.tr("resolution of isolation grid in z"), 0, None, 4.0))
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        self.addParameter(ParameterSelection(lasnoisePro.OPERATION,
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            self.tr("what to do with isolated points"), lasnoisePro.OPERATIONS, 0))
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        self.addParameter(ParameterNumber(lasnoisePro.CLASSIFY_AS,
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            self.tr("classify as"), 0, None, 7))
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        self.addParametersOutputDirectoryGUI()
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        self.addParametersOutputAppendixGUI()
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        self.addParametersPointOutputFormatGUI()
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        self.addParametersAdditionalGUI()
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        self.addParametersCoresGUI()
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        self.addParametersVerboseGUI()
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    def processAlgorithm(self, progress):
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        commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasnoise")]
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        self.addParametersVerboseCommands(commands)
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        self.addParametersPointInputFolderCommands(commands)
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        isolated = self.getParameterValue(lasnoisePro.ISOLATED)
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        commands.append("-isolated")
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        commands.append(str(isolated))
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        step_xy = self.getParameterValue(lasnoisePro.STEP_XY)
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        commands.append("-step_xy")
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        commands.append(str(step_xy))
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        step_z = self.getParameterValue(lasnoisePro.STEP_Z)
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        commands.append("-step_z")
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        commands.append(str(step_z))
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        operation = self.getParameterValue(lasnoisePro.OPERATION)
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        if operation != 0:
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            commands.append("-remove_noise")
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        else:
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            commands.append("-classify_as")
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            classify_as = self.getParameterValue(lasnoisePro.CLASSIFY_AS)
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            commands.append(str(classify_as))
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        self.addParametersOutputDirectoryCommands(commands)
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        self.addParametersOutputAppendixCommands(commands)
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        self.addParametersPointOutputFormatCommands(commands)
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        self.addParametersAdditionalCommands(commands)
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        self.addParametersCoresCommands(commands)
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        LAStoolsUtils.runLAStools(commands, progress)
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