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97 lines
4.7 KiB
Python
97 lines
4.7 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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lasthinPro.py
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---------------------
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Date : October 2014 and May 2016
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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 ParameterBoolean
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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 lasthinPro(LAStoolsAlgorithm):
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THIN_STEP = "THIN_STEP"
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OPERATION = "OPERATION"
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OPERATIONS = ["lowest", "random", "highest", "central", "adaptive", "contours"]
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THRESHOLD_OR_INTERVAL = "THRESHOLD_OR_INTERVAL"
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WITHHELD = "WITHHELD"
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CLASSIFY_AS = "CLASSIFY_AS"
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CLASSIFY_AS_CLASS = "CLASSIFY_AS_CLASS"
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def defineCharacteristics(self):
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self.name, self.i18n_name = self.trAlgorithm('lasthinPro')
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self.group, self.i18n_group = self.trAlgorithm('LAStools Production')
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self.addParametersPointInputFolderGUI()
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self.addParametersIgnoreClass1GUI()
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self.addParametersIgnoreClass2GUI()
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self.addParameter(ParameterNumber(lasthinPro.THIN_STEP,
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self.tr("size of grid used for thinning"), 0, None, 1.0))
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self.addParameter(ParameterSelection(lasthinPro.OPERATION,
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self.tr("keep particular point per cell"), lasthinPro.OPERATIONS, 0))
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self.addParameter(ParameterNumber(lasthinPro.THRESHOLD_OR_INTERVAL,
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self.tr("vertical threshold or contour intervals (only for 'adaptive' or 'contours' thinning)"), 0, None, 0.1))
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self.addParameter(ParameterBoolean(lasthinPro.WITHHELD,
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self.tr("mark thinned-away points as withheld"), False))
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self.addParameter(ParameterBoolean(lasthinPro.CLASSIFY_AS,
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self.tr("classify surviving points as class"), False))
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self.addParameter(ParameterNumber(lasthinPro.CLASSIFY_AS_CLASS,
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self.tr("class"), 0, None, 8))
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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", "lasthin")]
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self.addParametersVerboseCommands(commands)
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self.addParametersPointInputFolderCommands(commands)
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self.addParametersIgnoreClass1Commands(commands)
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self.addParametersIgnoreClass2Commands(commands)
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step = self.getParameterValue(lasthinPro.THIN_STEP)
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if step != 0.0:
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commands.append("-step")
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commands.append(unicode(step))
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operation = self.getParameterValue(lasthinPro.OPERATION)
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if (operation != 0):
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commands.append("-" + self.OPERATIONS[operation])
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if (operation >= 4):
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commands.append(unicode(self.getParameterValue(lasthinPro.THRESHOLD_OR_INTERVAL)))
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if self.getParameterValue(lasthinPro.WITHHELD):
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commands.append("-withheld")
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if self.getParameterValue(lasthinPro.CLASSIFY_AS):
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commands.append("-classify_as")
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commands.append(unicode(self.getParameterValue(lasthinPro.CLASSIFY_AS_CLASS)))
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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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