def block3x3(input):
tensor = factory.convolutionBlock(input, 'inception_4e_3x3_', '1', 160,
(1, 1))
tensor = factory.zeroPadding(tensor)
tensor = factory.convolutionBlock(tensor, 'inception_4e_3x3_', '2', 256,
(3, 3), (2, 2))
return tensor
def block5x5(input):
tensor = factory.convolutionBlock(input, 'inception_4e_5x5_', '1', 64,
(1, 1))
tensor = factory.zeroPadding(tensor, (2, 2))
tensor = factory.convolutionBlock(tensor, 'inception_4e_5x5_', '2', 128,
(5, 5), (2, 2))
return tensor
def block3x3(input):
tensor = factory.convolutionBlock(input, 'inception_4a_3x3_', '1', 96,
(1, 1))
tensor = factory.zeroPadding(tensor)
tensor = factory.convolutionBlock(tensor, 'inception_4a_3x3_', '2', 192,
(3, 3))
return tensor
def firstBlock(input):
tensor = factory.zeroPadding(input, (3, 3))
tensor = factory.convolutionBlock(tensor, '', '1', 64, (7, 7), (2, 2))
tensor = factory.zeroPadding(tensor)
tensor = factory.maxPooling(tensor, (3, 3), (2, 2))
return tensor
def secondBlock(input):
tensor = factory.convolutionBlock(input, '', '2', 64, (1, 1))
tensor = factory.zeroPadding(tensor)
#tensor = factory.maxPooling(tensor, (3,3), (2,2))
#todo: do we need here maxpool?
return tensor
def blockPool(input):
tensor = factory.averagePooling(input, (3, 3), (3, 3))
tensor = factory.convolutionBlock(tensor, 'inception_4a_pool_', '', 128,
(1, 1))
tensor = factory.zeroPadding(tensor, (2, 2))
return tensor
def blockPool(input):
tensor = factory.maxPooling(input, (3, 3), (2, 2))
tensor = factory.convolutionBlock(tensor, 'inception_3a_pool_', '', 32,
(1, 1))
tensor = factory.zeroPadding(tensor, ((3, 4), (3, 4)))
return tensor
def thirdBlock(input):
tensor = factory.convolutionBlock(input, '', '3', 192, (3, 3))
tensor = factory.zeroPadding(tensor)
tensor = factory.maxPooling(tensor, (3, 3), (2, 2))
return tensor
def block1x1(input):
tensor = factory.convolutionBlock(input, 'inception_4a_1x1_', '', 256,
(1, 1))
return tensor
