Hello,
I'm trying to use TrainImageClassifier Application, with svm model and
optimization.
OTB Version:*3.18.1*
I set all parameters with SetParameter...:
model= otb.Registry.CreateApplication("TrainImagesClassifier")
model.SetParameterStringList("io.il","im.tif")
model.SetParameterStringList("io.vd","training.shp")
model.SetParameterString("io.imstat","stats.xml")
model.SetParameterString("io.confmatout","mat.csv")
model.SetParameterString("io.out","model.svm")
model.SetParameterFloat("sample.vtr",0.5)
model.SetParameterString("sample.vfn","Class")
model.SetParameterString("classifier","svm")
model.SetParameterString("classifier.svm.m","csvc")
model.SetParameterString("classifier.svm.k","rbf")
model.SetParameterFloat("classifier.svm.c",1)
model.SetParameterFloat("classifier.svm.gamma",1)
model.SetParameterInt("rand",3)
model.SetParameterInt("classifier.svm.opt",0)
model.ExecuteAndWriteOutput()
This program works and gives results. But when I change the
classifier.svm.opt to 1: I got same results and confusion matrix.
I try to use model.SetParameterString("classifier.svm.opt",true) and false,
but nothing change.
I use the command line application too, with parameter 0,1 and
true,false,and change default values for c and gamma ( 1 to 100000 or 0.5),
always same results...
Any help is welcome
Thank you,
Benjamin
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