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# -*- coding: utf-8 -*-
"""
***************************************************************************
hugeFileClassify.py
---------------------
Date : May 2014
Copyright : (C) 2014 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__ = 'May 2014'
__copyright__ = '(C) 2014, 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 ParameterSelection
from processing.core.parameters import ParameterNumber
class hugeFileClassify(LAStoolsAlgorithm):
TILE_SIZE = "TILE_SIZE"
BUFFER = "BUFFER"
AIRBORNE = "AIRBORNE"
TERRAIN = "TERRAIN"
TERRAINS = ["wilderness", "nature", "town", "city", "metro"]
GRANULARITY = "GRANULARITY"
GRANULARITIES = ["coarse", "default", "fine", "extra_fine", "ultra_fine"]
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('hugeFileClassify')
self.group, self.i18n_group = self.trAlgorithm('LAStools Pipelines')
self.addParametersPointInputGUI()
self.addParameter(ParameterNumber(hugeFileClassify.TILE_SIZE,
self.tr("tile size (side length of square tile)"),
0, None, 1000.0))
self.addParameter(ParameterNumber(hugeFileClassify.BUFFER,
self.tr("buffer around each tile (avoids edge artifacts)"),
0, None, 25.0))
self.addParameter(ParameterBoolean(hugeFileClassify.AIRBORNE,
self.tr("airborne LiDAR"), True))
self.addParameter(ParameterSelection(hugeFileClassify.TERRAIN,
self.tr("terrain type"), hugeFileClassify.TERRAINS, 1))
self.addParameter(ParameterSelection(hugeFileClassify.GRANULARITY,
self.tr("preprocessing"), hugeFileClassify.GRANULARITIES, 1))
self.addParametersTemporaryDirectoryGUI()
self.addParametersPointOutputGUI()
self.addParametersCoresGUI()
self.addParametersVerboseGUI()
def processAlgorithm(self, progress):
# first we tile the data with option '-reversible'
commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lastile")]
self.addParametersVerboseCommands(commands)
self.addParametersPointInputCommands(commands)
tile_size = self.getParameterValue(hugeFileClassify.TILE_SIZE)
commands.append("-tile_size")
commands.append(unicode(tile_size))
buffer = self.getParameterValue(hugeFileClassify.BUFFER)
if buffer != 0.0:
commands.append("-buffer")
commands.append(unicode(buffer))
commands.append("-reversible")
self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
commands.append("-o")
commands.append("hugeFileClassify.laz")
LAStoolsUtils.runLAStools(commands, progress)
# then we ground classify the reversible tiles
commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasground")]
self.addParametersVerboseCommands(commands)
self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*.laz")
airborne = self.getParameterValue(hugeFileClassify.AIRBORNE)
if not airborne:
commands.append("-not_airborne")
method = self.getParameterValue(hugeFileClassify.TERRAIN)
if method != 1:
commands.append("-" + hugeFileClassify.TERRAINS[method])
granularity = self.getParameterValue(hugeFileClassify.GRANULARITY)
if granularity != 1:
commands.append("-" + hugeFileClassify.GRANULARITIES[granularity])
self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
commands.append("-odix")
commands.append("_g")
commands.append("-olaz")
self.addParametersCoresCommands(commands)
LAStoolsUtils.runLAStools(commands, progress)
# then we compute the height for each points in the reversible tiles
commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasheight")]
self.addParametersVerboseCommands(commands)
self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*_g.laz")
self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
commands.append("-odix")
commands.append("h")
commands.append("-olaz")
self.addParametersCoresCommands(commands)
LAStoolsUtils.runLAStools(commands, progress)
# then we classify buildings and trees in the reversible tiles
commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lasclassify")]
self.addParametersVerboseCommands(commands)
self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*_gh.laz")
self.addParametersTemporaryDirectoryAsOutputDirectoryCommands(commands)
commands.append("-odix")
commands.append("c")
commands.append("-olaz")
self.addParametersCoresCommands(commands)
LAStoolsUtils.runLAStools(commands, progress)
# then we reverse the tiling
commands = [os.path.join(LAStoolsUtils.LAStoolsPath(), "bin", "lastile")]
self.addParametersVerboseCommands(commands)
self.addParametersTemporaryDirectoryAsInputFilesCommands(commands, "hugeFileClassify*_ghc.laz")
commands.append("-reverse_tiling")
self.addParametersPointOutputCommands(commands)
LAStoolsUtils.runLAStools(commands, progress)
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