def global_normalization(inputs, batch_size=100):
norm = NormLayer(method="gcn")
lcn = K.function([norm.get_input()], norm.get_output())
return batchwise_function(lcn, inputs, batch_size=batch_size)
def contrast_normalization(inputs, batch_size=100):
X = K.placeholder(ndim=4)
norm = NormLayer()
lcn = K.function([X], norm.call(X))
return batchwise_function(lcn, inputs, batch_size=batch_size)
def global_normalization(inputs, batch_size=100):
norm = NormLayer(method="gcn")
lcn = K.function([norm.get_input()], norm.get_output())
return batchwise_function(lcn, inputs, batch_size=batch_size)
def contrast_normalization(inputs, batch_size=100):
norm = NormLayer()
lcn = K.function([norm.get_input()], norm.get_output())
return batchwise_function(lcn, inputs, batch_size=batch_size)
def contrast_normalization(inputs, batch_size=100):
norm = NormLayer()
lcn = K.function([norm.get_input()], norm.get_output())
return batchwise_function(lcn, inputs, batch_size=batch_size)