# -*- coding: utf-8 -*- """ *************************************************************************** lasthin.py --------------------- Date : September 2013 and May 2016 Copyright : (C) 2013 by Martin Isenburg Email : martin near rapidlasso point com *************************************************************************** * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * *************************************************************************** """ __author__ = 'Martin Isenburg' __date__ = 'September 2013' __copyright__ = '(C) 2013, Martin Isenburg' # This will get replaced with a git SHA1 when you do a git archive __revision__ = '$Format:%H$' import os from .LAStoolsUtils import LAStoolsUtils from .LAStoolsAlgorithm import LAStoolsAlgorithm from processing.core.parameters import ParameterBoolean from processing.core.parameters import ParameterNumber from processing.core.parameters import ParameterSelection class lasthin(LAStoolsAlgorithm): THIN_STEP = "THIN_STEP" OPERATION = "OPERATION" OPERATIONS = ["lowest", "random", "highest", "central", "adaptive", "contours"] THRESHOLD_OR_INTERVAL = "THRESHOLD_OR_INTERVAL" WITHHELD = "WITHHELD" CLASSIFY_AS = "CLASSIFY_AS" CLASSIFY_AS_CLASS = "CLASSIFY_AS_CLASS" def defineCharacteristics(self): self.name, self.i18n_name = self.trAlgorithm('lasthin') self.group, self.i18n_group = self.trAlgorithm('LAStools') self.addParametersVerboseGUI() self.addParametersPointInputGUI() self.addParametersIgnoreClass1GUI() self.addParametersIgnoreClass2GUI() self.addParameter(ParameterNumber(lasthin.THIN_STEP, self.tr("size of grid used for thinning"), 0, None, 1.0)) self.addParameter(ParameterSelection(lasthin.OPERATION, self.tr("keep particular point per cell"), lasthin.OPERATIONS, 0)) self.addParameter(ParameterNumber(lasthin.THRESHOLD_OR_INTERVAL, self.tr("vertical threshold or contour intervals (only for 'adaptive' or 'contours' thinning)"), 0, None, 0.1)) self.addParameter(ParameterBoolean(lasthin.WITHHELD, self.tr("mark thinned-away points as withheld"), False)) self.addParameter(ParameterBoolean(lasthin.CLASSIFY_AS, self.tr("classify surviving points as class"), False)) self.addParameter(ParameterNumber(lasthin.CLASSIFY_AS_CLASS, self.tr("class"), 0, None, 8)) self.addParametersPointOutputGUI() self.addParametersAdditionalGUI() def processAlgorithm(self, progress): commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasthin")] self.addParametersVerboseCommands(commands) self.addParametersPointInputCommands(commands) self.addParametersIgnoreClass1Commands(commands) self.addParametersIgnoreClass2Commands(commands) step = self.getParameterValue(lasthin.THIN_STEP) if step != 0.0: commands.append("-step") commands.append(unicode(step)) operation = self.getParameterValue(lasthin.OPERATION) if operation != 0: commands.append("-" + self.OPERATIONS[operation]) if (operation >= 4): commands.append(unicode(self.getParameterValue(lasthin.THRESHOLD_OR_INTERVAL))) if self.getParameterValue(lasthin.WITHHELD): commands.append("-withheld") if self.getParameterValue(lasthin.CLASSIFY_AS): commands.append("-classify_as") commands.append(unicode(self.getParameterValue(lasthin.CLASSIFY_AS_CLASS))) self.addParametersPointOutputCommands(commands) self.addParametersAdditionalCommands(commands) LAStoolsUtils.runLAStools(commands, progress)