Python batchwise_function Examples

Example #1

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)

Example #2

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)

Example #3

File: image.py Project: LazyXuan/seya

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)

Example #4

File: image.py Project: belavenir/Steering-Model-Processing

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)

Example #5

File: image.py Project: LazyXuan/seya

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)