Network architecture¶
Here is the dhsegment architecture definition
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dh_segment.network.
inference_vgg16
(images, params, num_classes, use_batch_norm=False, weight_decay=0.0, is_training=False)¶ - Return type
tensorflow.Tensor
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dh_segment.network.
inference_resnet_v1_50
(images, params, num_classes, use_batch_norm=False, weight_decay=0.0, is_training=False)¶ - Return type
tensorflow.Tensor
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dh_segment.network.
inference_u_net
(images, params, num_classes, use_batch_norm=False, weight_decay=0.0, is_training=False)¶ - Return type
tensorflow.Tensor
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dh_segment.network.
vgg_16_fn
(input_tensor, scope='vgg_16', blocks=5, weight_decay=0.0005)¶ - Return type
(tensorflow.Tensor, <class ‘list’>)
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dh_segment.network.
resnet_v1_50_fn
(input_tensor, is_training=False, blocks=4, weight_decay=0.0001, renorm=True, corrected_version=False)¶ - Return type
tensorflow.Tensor