Alexander Bruy f40fb9c4d2 [processing] fixes and new tools for LiDAR processing
courtesy of Niccolò Marchi
2017-01-25 11:41:34 +02:00

119 lines
4.6 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
TreeSeg.py
---------------------
Date : November 2016
Copyright : (C) 2016 by Niccolo' Marchi
Email : sciurusurbanus at hotmail dot it
***************************************************************************
* *
* 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__ = "Niccolo' Marchi"
__date__ = 'November 2016'
__copyright__ = "(C) 2016 by Niccolo' Marchi"
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import os
from processing.core.parameters import ParameterBoolean
from processing.core.parameters import ParameterFile
from processing.core.parameters import ParameterNumber
from processing.core.outputs import OutputFile
from .FusionAlgorithm import FusionAlgorithm
from .FusionUtils import FusionUtils
class TreeSeg(FusionAlgorithm):
INPUT = 'INPUT'
GROUND = 'GROUND'
HTTH = 'HTTH'
OUTPUT = 'OUTPUT'
HEIGHT = 'HEIGHT'
SHAPE = 'SHAPE'
ALIGN = 'ALIGN'
BUFF = 'BUFF'
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Tree Segmentation')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input Canopy Height Model (in PLANS DTM format)'), optional=False))
self.addParameter(ParameterNumber(
self.HTTH, self.tr('Minimum height for object segmentation'), 0, None, 2.0))
self.addOutput(OutputFile(
self.OUTPUT, self.tr('Base name for output files')))
ground = ParameterFile(
self.GROUND, self.tr('Ground file for height normalization'))
ground.isAdvanced = True
self.addParameter(ground)
height = ParameterBoolean(
self.HEIGHT, self.tr("Normalize height model using ground model (select if a ground file is provided)"), False)
height.isAdvanced = True
self.addParameter(height)
buff = ParameterNumber(
self.BUFF, self.tr('Add a buffer to the data extent when segmenting'), 0, None, 0.0)
buff.isAdvanced
self.addParameter(buff)
shape = ParameterBoolean(
self.SHAPE, self.tr('Create output shapefiles'), False)
shape.isAdvanced = True
self.addParameter(shape)
align = ParameterBoolean(
self.ALIGN, self.tr('Align output grid to the input extent'), False)
align.isAdvanced = True
self.addParameter(align)
self.addAdvancedModifiers()
def processAlgorithm(self, progress):
commands = [os.path.join(FusionUtils.FusionPath(), 'TreeSeg.exe')]
commands.append('/verbose')
ground = self.getParameterValue(self.GROUND)
if ground:
gfiles = self.getParameterValue(self.GROUND).split(';')
if len(gfiles) == 1:
commands.append('/ground:' + unicode(ground))
else:
FusionUtils.createGroundList(gfiles)
commands.append('/ground:' + unicode(FusionUtils.tempGroundListFilepath()))
height = self.getParameterValue(self.HEIGHT)
if height:
commands.append('/height')
buff = self.getParameterValue(self.BUFF)
if buff != 0.0:
commands.append('/buffer:' + unicode(self.getParameterValue(self.BUFF)))
shape = self.getParameterValue(self.SHAPE)
if shape:
commands.append('/shape')
align = self.getParameterValue(self.ALIGN)
if align:
commands.append('/align:' + unicode(self.getParameterValue(self.INPUT)))
self.addAdvancedModifiersToCommand(commands)
files = self.getParameterValue(self.INPUT).split(';')
if len(files) == 1:
commands.append(self.getParameterValue(self.INPUT))
else:
FusionUtils.createFileList(files)
commands.append(FusionUtils.tempFileListFilepath())
commands.append(unicode(self.getParameterValue(self.HTTH)))
outFile = self.getOutputValue(self.OUTPUT)
commands.append(outFile)
FusionUtils.runFusion(commands, progress)