def createDescr(self):
ft = armor.filter.Filter(filter='none')
#sft = armor.features.SiftValedi()
rce = armor.features.Nowozin('color')
#rce = armor.features.SiftRobHess()
#rce = armor.features.SiftValedi()
ft.inputSlot.registerInput(self.imgDataset.outputSlotTrain)
#sft.InputSlot.registerInput(ft.outputSlot)
rce.inputSlot.registerInput(ft.outputSlot)
armor.saveSlots('rce.pickle', rce.outputSlot)
return rce
def testGenerator(self):
CLUSTERS = 500
#from IPython.Debugger import Tracer; debug_here = Tracer()
#debug_here()
rce = self.createDescr()
rce = armor.loadSlots('rce.pickle')
km = armor.cluster.Kmeans(CLUSTERS)
qt = armor.cluster.Quantize()
hg = armor.histogram.Histogram(CLUSTERS)
nz = armor.transforms.Normalize('none')
tf = armor.transforms.Transform('none')
nz2 = armor.transforms.Normalize('none')
sc = armor.score.Score()
pd = armor.score.PairwiseDistances(metric='euclidean')
#km.inputSlot.registerInput(rce.outputSlot)
km.inputSlot.registerInput(rce)
armor.saveSlots('km.pickle', km.outputSlot)
km = armor.loadSlots('km.pickle')
#km = armor.loadSlots('km.pickle')
qt.inputSlotCodebook.registerInput(km)
qt.inputSlotVec.registerInput(rce)
#qt.inputSlotVec.registerInput(rce.outputSlot)
hg.inputSlot.registerInput(qt.outputSlot)
nz.inputSlot.registerInput(hg.outputSlot)
tf.inputSlotData.registerInput(nz.outputSlot)
tf.inputSlotLabels.registerInput(self.imgDataset.outputSlotLabelsTrain)
nz2.inputSlot.registerInput(tf.outputSlot)
sc.inputSlotData.registerInput(nz2.outputSlot)
sc.inputSlotLabels.registerInput(self.imgDataset.outputSlotLabelsTrain)
#pd.inputSlot.registerInput(nz2.outputSlot)
pd.inputSlot.registerInput(nz2.outputSlot)
x = list(pd.outputSlot)
print list(sc.outputSlot)
