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Update layer_utils.py #64

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Update layer_utils.py #64

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8 changes: 7 additions & 1 deletion keras_unet_collection/layer_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
from tensorflow.keras.layers import Conv2D, DepthwiseConv2D, Lambda
from tensorflow.keras.layers import BatchNormalization, Activation, concatenate, multiply, add
from tensorflow.keras.layers import ReLU, LeakyReLU, PReLU, ELU, Softmax
from tensorflow.keras.layers import Dropout

def decode_layer(X, channel, pool_size, unpool, kernel_size=3,
activation='ReLU', batch_norm=False, name='decode'):
Expand Down Expand Up @@ -196,7 +197,7 @@ def attention_gate(X, g, channel,

def CONV_stack(X, channel, kernel_size=3, stack_num=2,
dilation_rate=1, activation='ReLU',
batch_norm=False, name='conv_stack'):
batch_norm=False, dropout=False, dropout_rate=0.5, name='conv_stack'):
'''
Stacked convolutional layers:
(Convolutional layer --> batch normalization --> Activation)*stack_num
Expand Down Expand Up @@ -241,6 +242,11 @@ def CONV_stack(X, channel, kernel_size=3, stack_num=2,
activation_func = eval(activation)
X = activation_func(name='{}_{}_activation'.format(name, i))(X)

#dropout
if dropout:
X = Dropout(rate=dropout_rate)(X)


return X

def Res_CONV_stack(X, X_skip, channel, res_num, activation='ReLU', batch_norm=False, name='res_conv'):
Expand Down