if (len(sys.argv) == 3):
image = sys.argv[1]
shape = sys.argv[2]
kernel = 'rbf'
trainingSample = 500
validationSample = 1000
print "Default Value : kernel=rbf, trainingSample=500, validationSample=1000"
elif (len(sys.argv) == 6):
image = sys.argv[1]
shape = sys.argv[2]
kernel = sys.argv[3]
trainingSample = sys.argv[4]
validationSample = sys.argv[5]
else:
print "Usage : ./SVM_main_prog.py image.tif shape.shp [OPTIONS]"
print "OPTION : kernel(linear/rbf/poly/sigmoid) Trainig_Sample Validation_Sample"
exit()
print("Compute Statistics ... ")
svm.ComputeStat(image)
print("Train SVM ... ")
svm.TrainSVM(image, shape, kernel, trainingSample, validationSample)
print("Image Classification ... ")
svm.ImageClassif(image)
print("Colorizing Classification ... ")
svm.ColorMap(image)
