def printCentImage(layer, cent):
l = pd.GetCentroidImageWidth(network.getNetwork(), layer)
l = l * l
channel = 0
fa = pd.SWIG_FloatArray_frompointer(network.getCentroidImage(channel, layer, cent))
for i in xrange(l):
print fa[i]
def printStats():
n = dn.getNode(7,0,0)
print "Winner: %i" %(n.winner)
starv = pd.SWIG_FloatArray_frompointer( n.starv )
for c in range(n.nb):
print "starv %i: %f" % (c, starv[c])
print ""
def printStats():
""" Prints the winning centriod index and starvation trace for the top node."""
n = top_node()
print "Winner: %i" % (n.winner)
starv = pd.SWIG_FloatArray_frompointer(n.starv)
for c in xrange(n.nb):
print "starv %i: %f" % (c, starv[c])
print ""
def freezeTopCentroidsExcept(lucky_centroid):
if lucky_centroid == None:
return
starv = pd.SWIG_FloatArray_frompointer(top_node().starv)
small = 1e-6
for c in xrange(top_node().nb):
starv[c] = 1
starv[lucky_centroid] = small
def printCentImage(layer, cent):
l = pd.GetCentroidImageWidth(dn.getNetwork(), layer)
l = l * l
fa = pd.SWIG_FloatArray_frompointer( dn.getCentroidImage(layer, cent))
for i in range(l):
print fa[i]