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Update densenet.py #25

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c94b4a5
Update densenet.py
jrwin Sep 8, 2017
32d4566
Update densenet.py
jrwin Sep 8, 2017
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6 changes: 4 additions & 2 deletions densenet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -767,7 +767,9 @@ def __create_fcn_dense_net(nb_classes, img_input, include_top, nb_dense_block=5,
grow_nb_filters=False)

if include_top:
x = Conv2D(nb_classes, (1, 1), activation='linear', padding='same', use_bias=False)(x_up)
# not the concatenation of the input with the feature maps concat_list[0] in the decompression path
l = concatenate(concat_list[1:], axis=concat_axis)
x = Conv2D(nb_classes, (1, 1), activation='linear', padding='same', use_bias=False)(l)

if K.image_data_format() == 'channels_first':
channel, row, col = input_shape
Expand All @@ -792,4 +794,4 @@ def __create_fcn_dense_net(nb_classes, img_input, include_top, nb_dense_block=5,
model = DenseNet((32, 32, 3), weights=None)
model.summary()

plot_model(model, 'test.png', show_shapes=True)
plot_model(model, 'test.png', show_shapes=True)