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
26import os
27from pktoolsUtils import pktoolsUtils
28from pktoolsAlgorithm import pktoolsAlgorithm
29from processing.core.parameters import ParameterMultipleInput
30from processing.core.parameters import ParameterVector
31from processing.core.parameters import ParameterRaster
32from processing.core.outputs import OutputRaster
33from processing.core.parameters import ParameterSelection
34from processing.core.parameters import ParameterFile
35from processing.core.parameters import ParameterNumber
36from processing.core.parameters import ParameterString
37from processing.core.parameters import ParameterBoolean
38from processing.core.parameters import ParameterExtent
39
40class 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)
string LABEL
Definition: pksvm.py:45
def cliName(self)
Definition: pksvm.py:58
string TRAINING
Definition: pksvm.py:43
string MASK
Definition: pksvm.py:50
string MSKNODATA
Definition: pksvm.py:51
string ITERATE
Definition: pksvm.py:44
string INPUT
Definition: pksvm.py:42
string COST
Definition: pksvm.py:48
string GAMMA
Definition: pksvm.py:47
string EXTRA
Definition: pksvm.py:56
string OUTPUT
Definition: pksvm.py:49