This code implements the Fully Convolutional DenseNet described in https://arxiv.org/abs/1611.09326 The network consist of a downsampling path, where dense blocks and transition down are applied, followed by an upsampling path where transition up and dense blocks are applied
(self,
input_shape=(None, 3, None, None),
n_classes=11,
n_filters_first_conv=48,
n_pool=4,
growth_rate=12,
n_layers_per_block=5,
dropout_p=0.2)
source not stored for this graph (policy: none)
nothing calls this directly
no test coverage detected