| pktools 2.6.7 Processing Kernel for geospatial data

pksvm.py
1# -*- coding: utf-8 -*-
2
3"""
4***************************************************************************
5 pksvm.py
6 ---------------------
7 Date : April 2015
8 Copyright : (C) 2015 by Pieter Kempeneers
9 Email : kempenep at gmail dot com
10***************************************************************************
11* *
12* This program is free software; you can redistribute it and/or modify *
13* it under the terms of the GNU General Public License as published by *
14* the Free Software Foundation; either version 2 of the License, or *
15* (at your option) any later version. *
16* *
17***************************************************************************
18"""
19
20__author__ = 'Pieter Kempeneers'
21__date__ = 'April 2015'
22__copyright__ = '(C) 2015, Pieter Kempeneers'
23# This will get replaced with a git SHA1 when you do a git archive
24__revision__ = '$Format:%H$'
25
26 import os
27 from pktoolsUtils import pktoolsUtils
28 from pktoolsAlgorithm import pktoolsAlgorithm
29 from processing.core.parameters import ParameterMultipleInput
30 from processing.core.parameters import ParameterVector
31 from processing.core.parameters import ParameterRaster
32 from processing.core.outputs import OutputRaster
33 from processing.core.parameters import ParameterSelection
34 from processing.core.parameters import ParameterFile
35 from processing.core.parameters import ParameterNumber
36 from processing.core.parameters import ParameterString
37 from processing.core.parameters import ParameterBoolean
38 from processing.core.parameters import ParameterExtent
39
40 class pksvm(pktoolsAlgorithm):
41
42 INPUT = "INPUT"
43 TRAINING = "TRAINING"
44 ITERATE = "ITERATE"
45 LABEL = "LABEL"
46# CV = "CV"
47 GAMMA = "GAMMA"
48 COST = "COST"
49 OUTPUT = "OUTPUT"
50 MASK = "MASK"
51 MSKNODATA = "MSKNODATA"
52# NODATA = "NODATA"
53
54# SVM_TYPE_OPTIONS = ["C_SVC", "nu_SVC,one_class", "epsilon_SVR", "nu_SVR"]
55# KERNEL_TYPE_OPTIONS = ["linear", "polynomial", "radial", "sigmoid"]
56 EXTRA = 'EXTRA'
57
58 def cliName(self):
59 return "pksvm"
60
61 def defineCharacteristics(self):
62 self.name = "Support vector machine"
63 self.group = "[pktools] supervised classification"
64 self.addParameter(ParameterRaster(self.INPUT, 'Input layer raster data set',ParameterRaster))
65 self.addParameter(ParameterVector(self.TRAINING, 'Training vector file.'))
66 self.addParameter(ParameterBoolean(self.ITERATE, "Iterate over all layers",True))
67 self.addParameter(ParameterString(self.LABEL, "Attribute name for class label in training vector file","label"))
68 self.addParameter(ParameterNumber(self.GAMMA, "Gamma in kernel function",0,100,1.0))
69 self.addParameter(ParameterNumber(self.COST, "The parameter C of C_SVC",0,100000,1000.0))
70 self.addParameter(ParameterFile(self.MASK, "Mask vector/raster dataset used for classification","None",optional=True))
71 self.addParameter(ParameterString(self.MSKNODATA, "Mask value(s) not to consider for classification (in case of raster mask, e.g., 0;255)","0"))
72 self.addOutput(OutputRaster(self.OUTPUT, "Output raster data set"))
73 self.addParameter(ParameterString(self.EXTRA,
74 'Additional parameters', '-of GTiff', optional=True))
75
76# self.addParameter(ParameterSelection(self.KERNEL_TYPE,"Type of kernel function (linear,polynomial,radial,sigmoid)",self.KERNEL_TYPE_OPTIONS, 2))
77# self.addParameter(ParameterSelection(self.SVM_TYPE,"Type of SVM (C_SVC, nu_SVC,one_class, epsilon_SVR, nu_SVR)",self.SVM_TYPE_OPTIONS, 0))
78
79 def processAlgorithm(self, progress):
80 cliPath = '"' + os.path.join(pktoolsUtils.pktoolsPath(), self.cliName()) + '"'
81 commands = [cliPath]
82
83 input=self.getParameterValue(self.INPUT)
84 if input != "":
85 commands.append('-i')
86 commands.append('"' + input + '"')
87
88 commands.append('-t')
89 training=self.getParameterValue(self.TRAINING)
90
91 if(str(training).find('|')>0):
92 if self.getParameterValue(self.ITERATE):
93 trainingname=str(training)
94 commands.append(trainingname[:trainingname.find('|')])
95 else:
96 trainingname=str(training).replace("|layername"," -ln")
97 commands.append(trainingname)
98 else:
99 commands.append(training)
100
101 commands.append('-label')
102 commands.append(str(self.getParameterValue(self.LABEL)))
103 # if self.getParameterValue(self.CV):
104 # commands.append("-cv 2")
105 commands.append('-g')
106 commands.append(str(self.getParameterValue(self.GAMMA)))
107 commands.append('-cc')
108 commands.append(str(self.getParameterValue(self.COST)))
109
110 mask = str(self.getParameterValue(self.MASK))
111 if mask != "":
112 commands.append('-m')
113 commands.append(mask)
114 msknodata=str(self.getParameterValue(self.MSKNODATA))
115 msknodataValues = msknodata.split(';')
116 for msknodataValue in msknodataValues:
117 commands.append('-msknodata')
118 commands.append(msknodataValue)
119
120 extra = str(self.getParameterValue(self.EXTRA))
121 if len(extra) > 0:
122 commands.append(extra)
123
124 output=self.getOutputValue(self.OUTPUT)
125 if output != "":
126 commands.append('-o')
127 commands.append('"' + output + '"')
128
129 pktoolsUtils.runpktools(commands, progress)
qgis.pksvm.pksvm.group
group
Definition: pksvm.py:63
qgis.pksvm.pksvm.LABEL
string LABEL
Definition: pksvm.py:45
qgis.pksvm.pksvm.cliName
def cliName(self)
Definition: pksvm.py:58
qgis.pksvm.pksvm.TRAINING
string TRAINING
Definition: pksvm.py:43
qgis.pksvm.pksvm.MASK
string MASK
Definition: pksvm.py:50
qgis.pksvm.pksvm.MSKNODATA
string MSKNODATA
Definition: pksvm.py:51
qgis.pksvm.pksvm.ITERATE
string ITERATE
Definition: pksvm.py:44
qgis.pksvm.pksvm.INPUT
string INPUT
Definition: pksvm.py:42
qgis.pksvm.pksvm.name
name
Definition: pksvm.py:62
qgis.pksvm.pksvm.COST
string COST
Definition: pksvm.py:48
qgis.pksvm.pksvm.GAMMA
string GAMMA
Definition: pksvm.py:47
qgis.pksvm.pksvm.EXTRA
string EXTRA
Definition: pksvm.py:56
qgis.pksvm.pksvm.OUTPUT
string OUTPUT
Definition: pksvm.py:49