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1
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""" |
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2
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""" |
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3
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def vgg_layers(): |
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4
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"""The network's layer structure of the vgg image model.""" |
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5
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return ( |
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6
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(0, 'conv1_1') , # (3, 3, 3, 64) |
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7
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(1, 'relu1_1') , |
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8
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(2, 'conv1_2') , # (3, 3, 64, 64) |
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9
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(3, 'relu1_2') , |
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10
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(4, 'pool1') , |
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11
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(5, 'conv2_1') , # (3, 3, 64, 128) |
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12
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(6, 'relu2_1') , |
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13
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(7, 'conv2_2') , # (3, 3, 128, 128) |
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14
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(8, 'relu2_2') , |
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15
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(9, 'pool2') , |
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16
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(10, 'conv3_1'), # (3, 3, 128, 256) |
|
17
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(11, 'relu3_1'), |
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18
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(12, 'conv3_2'), # (3, 3, 256, 256) |
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19
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(13, 'relu3_2'), |
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20
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(14, 'conv3_3'), # (3, 3, 256, 256) |
|
21
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(15, 'relu3_3'), |
|
22
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(16, 'conv3_4'), # (3, 3, 256, 256) |
|
23
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(17, 'relu3_4'), |
|
24
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(18, 'pool3') , |
|
25
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(19, 'conv4_1'), # (3, 3, 256, 512) |
|
26
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(20, 'relu4_1'), |
|
27
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(21, 'conv4_2'), # (3, 3, 512, 512) |
|
28
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(22, 'relu4_2'), |
|
29
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(23, 'conv4_3'), # (3, 3, 512, 512) |
|
30
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(24, 'relu4_3'), |
|
31
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(25, 'conv4_4'), # (3, 3, 512, 512) |
|
32
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(26, 'relu4_4'), |
|
33
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(27, 'pool4') , |
|
34
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(28, 'conv5_1'), # (3, 3, 512, 512) |
|
35
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(29, 'relu5_1'), |
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36
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(30, 'conv5_2'), # (3, 3, 512, 512) |
|
37
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(31, 'relu5_2'), |
|
38
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(32, 'conv5_3'), # (3, 3, 512, 512) |
|
39
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(33, 'relu5_3'), |
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40
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(34, 'conv5_4'), # (3, 3, 512, 512) |
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41
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# 35 is relu |
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42
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# 36 is maxpool |
|
43
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# 37 is fullyconnected (7, 7, 512, 4096) |
|
44
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# 38 is relu |
|
45
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# 39 is fullyconnected (1, 1, 4096, 4096) |
|
46
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# 40 is relu |
|
47
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# 41 is fullyconnected (1, 1, 4096, 1000) |
|
48
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# 42 is softmax |
|
49
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) |
|
50
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51
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52
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LAYERS = tuple((layer_id for _, layer_id in vgg_layers())) |
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53
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boromir674 /
neural-style-transfer
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