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| a | b/train_3d_denseseg.prototxt | ||
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| 1 | layer { |
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| 2 | name: "data" |
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| 3 | type: "HDF5Data" |
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| 4 | top: "data" |
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| 5 | top: "label" |
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| 6 | include { |
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| 7 | phase: TRAIN |
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| 8 | } |
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| 9 | transform_param { |
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| 10 | crop_size_w: 64 |
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| 11 | crop_size_h: 64 |
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| 12 | crop_size_l: 64 |
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| 13 | } |
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| 14 | hdf5_data_param { |
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| 15 | source: "./train_list.txt" |
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| 16 | batch_size: 4 |
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| 17 | shuffle: true |
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| 18 | } |
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| 19 | } |
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| 20 | layer { |
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| 21 | name: "conv1a" |
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| 22 | type: "Convolution" |
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| 23 | bottom: "data" |
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| 24 | top: "conv1a" |
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| 25 | param { |
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| 26 | lr_mult: 1.0 |
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| 27 | decay_mult: 1.0 |
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| 28 | } |
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| 29 | param { |
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| 30 | lr_mult: 2.0 |
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| 31 | decay_mult: 0.0 |
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| 32 | } |
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| 33 | convolution_param { |
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| 34 | num_output: 32 |
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| 35 | pad: 1 |
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| 36 | pad: 1 |
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| 37 | pad: 1 |
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| 38 | kernel_size: 3 |
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| 39 | kernel_size: 3 |
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| 40 | kernel_size: 3 |
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| 41 | stride: 1 |
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| 42 | stride: 1 |
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| 43 | stride: 1 |
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| 44 | weight_filler { |
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| 45 | type: "msra" |
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| 46 | } |
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| 47 | bias_filler { |
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| 48 | type: "constant" |
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| 49 | value: -0.10000000149 |
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| 50 | } |
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| 51 | axis: 1 |
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| 52 | } |
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| 53 | } |
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| 54 | layer { |
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| 55 | name: "bnorm1a" |
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| 56 | type: "BatchNorm" |
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| 57 | bottom: "conv1a" |
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| 58 | top: "bnorm1a" |
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| 59 | param { |
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| 60 | lr_mult: 0.0 |
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| 61 | decay_mult: 0.0 |
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| 62 | } |
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| 63 | param { |
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| 64 | lr_mult: 0.0 |
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| 65 | decay_mult: 0.0 |
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| 66 | } |
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| 67 | param { |
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| 68 | lr_mult: 0.0 |
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| 69 | decay_mult: 0.0 |
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| 70 | } |
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| 71 | batch_norm_param { |
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| 72 | use_global_stats: false |
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| 73 | } |
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| 74 | } |
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| 75 | layer { |
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| 76 | name: "scale1a" |
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| 77 | type: "Scale" |
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| 78 | bottom: "bnorm1a" |
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| 79 | top: "bnorm1a" |
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| 80 | scale_param { |
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| 81 | filler { |
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| 82 | value: 1.0 |
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| 83 | } |
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| 84 | bias_term: true |
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| 85 | bias_filler { |
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| 86 | value: 0.0 |
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| 87 | } |
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| 88 | } |
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| 89 | } |
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| 90 | layer { |
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| 91 | name: "relu1a" |
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| 92 | type: "ReLU" |
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| 93 | bottom: "bnorm1a" |
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| 94 | top: "bnorm1a" |
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| 95 | } |
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| 96 | layer { |
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| 97 | name: "conv1b" |
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| 98 | type: "Convolution" |
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| 99 | bottom: "bnorm1a" |
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| 100 | top: "conv1b" |
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| 101 | param { |
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| 102 | lr_mult: 1.0 |
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| 103 | decay_mult: 1.0 |
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| 104 | } |
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| 105 | convolution_param { |
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| 106 | num_output: 32 |
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| 107 | bias_term: false |
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| 108 | pad: 1 |
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| 109 | pad: 1 |
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| 110 | pad: 1 |
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| 111 | kernel_size: 3 |
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| 112 | kernel_size: 3 |
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| 113 | kernel_size: 3 |
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| 114 | stride: 1 |
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| 115 | stride: 1 |
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| 116 | stride: 1 |
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| 117 | weight_filler { |
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| 118 | type: "msra" |
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| 119 | } |
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| 120 | bias_filler { |
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| 121 | type: "constant" |
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| 122 | } |
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| 123 | axis: 1 |
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| 124 | } |
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| 125 | } |
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| 126 | layer { |
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| 127 | name: "bnorm1b" |
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| 128 | type: "BatchNorm" |
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| 129 | bottom: "conv1b" |
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| 130 | top: "bnorm1b" |
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| 131 | param { |
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| 132 | lr_mult: 0.0 |
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| 133 | decay_mult: 0.0 |
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| 134 | } |
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| 135 | param { |
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| 136 | lr_mult: 0.0 |
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| 137 | decay_mult: 0.0 |
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| 138 | } |
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| 139 | param { |
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| 140 | lr_mult: 0.0 |
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| 141 | decay_mult: 0.0 |
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| 142 | } |
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| 143 | batch_norm_param { |
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| 144 | use_global_stats: false |
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| 145 | } |
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| 146 | } |
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| 147 | layer { |
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| 148 | name: "scale1b" |
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| 149 | type: "Scale" |
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| 150 | bottom: "bnorm1b" |
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| 151 | top: "bnorm1b" |
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| 152 | scale_param { |
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| 153 | filler { |
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| 154 | value: 1.0 |
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| 155 | } |
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| 156 | bias_term: true |
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| 157 | bias_filler { |
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| 158 | value: 0.0 |
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| 159 | } |
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| 160 | } |
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| 161 | } |
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| 162 | layer { |
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| 163 | name: "relu1b" |
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| 164 | type: "ReLU" |
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| 165 | bottom: "bnorm1b" |
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| 166 | top: "bnorm1b" |
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| 167 | } |
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| 168 | layer { |
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| 169 | name: "conv1c" |
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| 170 | type: "Convolution" |
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| 171 | bottom: "bnorm1b" |
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| 172 | top: "conv1c" |
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| 173 | param { |
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| 174 | lr_mult: 1.0 |
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| 175 | decay_mult: 1.0 |
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| 176 | } |
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| 177 | convolution_param { |
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| 178 | num_output: 32 |
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| 179 | bias_term: false |
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| 180 | pad: 1 |
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| 181 | pad: 1 |
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| 182 | pad: 1 |
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| 183 | kernel_size: 3 |
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| 184 | kernel_size: 3 |
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| 185 | kernel_size: 3 |
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| 186 | stride: 1 |
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| 187 | stride: 1 |
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| 188 | stride: 1 |
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| 189 | weight_filler { |
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| 190 | type: "msra" |
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| 191 | } |
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| 192 | bias_filler { |
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| 193 | type: "constant" |
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| 194 | } |
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| 195 | axis: 1 |
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| 196 | } |
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| 197 | } |
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| 198 | layer { |
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| 199 | name: "bnorm1c" |
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| 200 | type: "BatchNorm" |
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| 201 | bottom: "conv1c" |
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| 202 | top: "bnorm1c" |
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| 203 | param { |
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| 204 | lr_mult: 0.0 |
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| 205 | decay_mult: 0.0 |
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| 206 | } |
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| 207 | param { |
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| 208 | lr_mult: 0.0 |
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| 209 | decay_mult: 0.0 |
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| 210 | } |
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| 211 | param { |
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| 212 | lr_mult: 0.0 |
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| 213 | decay_mult: 0.0 |
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| 214 | } |
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| 215 | batch_norm_param { |
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| 216 | use_global_stats: false |
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| 217 | } |
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| 218 | } |
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| 219 | layer { |
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| 220 | name: "scale1c" |
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| 221 | type: "Scale" |
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| 222 | bottom: "bnorm1c" |
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| 223 | top: "bnorm1c" |
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| 224 | scale_param { |
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| 225 | filler { |
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| 226 | value: 1.0 |
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| 227 | } |
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| 228 | bias_term: true |
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| 229 | bias_filler { |
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| 230 | value: 0.0 |
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| 231 | } |
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| 232 | } |
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| 233 | } |
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| 234 | layer { |
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| 235 | name: "relu1c" |
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| 236 | type: "ReLU" |
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| 237 | bottom: "bnorm1c" |
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| 238 | top: "bnorm1c" |
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| 239 | } |
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| 240 | layer { |
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| 241 | name: "Conv_down_1" |
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| 242 | type: "Convolution" |
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| 243 | bottom: "bnorm1c" |
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| 244 | top: "Conv_down_1" |
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| 245 | param { |
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| 246 | lr_mult: 1.0 |
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| 247 | decay_mult: 1.0 |
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| 248 | } |
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| 249 | convolution_param { |
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| 250 | num_output: 32 |
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| 251 | bias_term: false |
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| 252 | pad: 0 |
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| 253 | pad: 0 |
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| 254 | pad: 0 |
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| 255 | kernel_size: 2 |
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| 256 | kernel_size: 2 |
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| 257 | kernel_size: 2 |
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| 258 | stride: 2 |
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| 259 | weight_filler { |
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| 260 | type: "msra" |
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| 261 | } |
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| 262 | bias_filler { |
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| 263 | type: "constant" |
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| 264 | } |
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| 265 | axis: 1 |
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| 266 | } |
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| 267 | } |
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| 268 | layer { |
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| 269 | name: "BatchNorm1" |
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| 270 | type: "BatchNorm" |
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| 271 | bottom: "Conv_down_1" |
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| 272 | top: "BatchNorm1" |
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| 273 | param { |
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| 274 | lr_mult: 0.0 |
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| 275 | decay_mult: 0.0 |
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| 276 | } |
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| 277 | param { |
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| 278 | lr_mult: 0.0 |
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| 279 | decay_mult: 0.0 |
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| 280 | } |
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| 281 | param { |
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| 282 | lr_mult: 0.0 |
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| 283 | decay_mult: 0.0 |
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| 284 | } |
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| 285 | batch_norm_param { |
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| 286 | use_global_stats: false |
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| 287 | } |
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| 288 | } |
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| 289 | layer { |
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| 290 | name: "Scale1" |
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| 291 | type: "Scale" |
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| 292 | bottom: "BatchNorm1" |
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| 293 | top: "BatchNorm1" |
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| 294 | scale_param { |
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| 295 | filler { |
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| 296 | value: 1.0 |
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| 297 | } |
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| 298 | bias_term: true |
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| 299 | bias_filler { |
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| 300 | value: 0.0 |
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| 301 | } |
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| 302 | } |
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| 303 | } |
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| 304 | layer { |
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| 305 | name: "ReLU1" |
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| 306 | type: "ReLU" |
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| 307 | bottom: "BatchNorm1" |
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| 308 | top: "BatchNorm1" |
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| 309 | } |
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| 310 | layer { |
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| 311 | name: "Convolution1" |
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| 312 | type: "Convolution" |
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| 313 | bottom: "BatchNorm1" |
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| 314 | top: "Convolution1" |
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| 315 | param { |
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| 316 | lr_mult: 1.0 |
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| 317 | decay_mult: 1.0 |
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| 318 | } |
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| 319 | convolution_param { |
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| 320 | num_output: 64 |
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| 321 | bias_term: false |
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| 322 | pad: 0 |
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| 323 | pad: 0 |
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| 324 | pad: 0 |
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| 325 | kernel_size: 1 |
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| 326 | kernel_size: 1 |
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| 327 | kernel_size: 1 |
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| 328 | stride: 1 |
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| 329 | stride: 1 |
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| 330 | stride: 1 |
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| 331 | weight_filler { |
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| 332 | type: "msra" |
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| 333 | } |
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| 334 | bias_filler { |
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| 335 | type: "constant" |
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| 336 | } |
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| 337 | axis: 1 |
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| 338 | } |
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| 339 | } |
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| 340 | layer { |
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| 341 | name: "BatchNorm2" |
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| 342 | type: "BatchNorm" |
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| 343 | bottom: "Convolution1" |
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| 344 | top: "BatchNorm2" |
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| 345 | param { |
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| 346 | lr_mult: 0.0 |
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| 347 | decay_mult: 0.0 |
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| 348 | } |
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| 349 | param { |
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| 350 | lr_mult: 0.0 |
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| 351 | decay_mult: 0.0 |
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| 352 | } |
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| 353 | param { |
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| 354 | lr_mult: 0.0 |
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| 355 | decay_mult: 0.0 |
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| 356 | } |
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| 357 | batch_norm_param { |
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| 358 | use_global_stats: false |
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| 359 | } |
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| 360 | } |
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| 361 | layer { |
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| 362 | name: "Scale2" |
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| 363 | type: "Scale" |
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| 364 | bottom: "BatchNorm2" |
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| 365 | top: "BatchNorm2" |
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| 366 | scale_param { |
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| 367 | filler { |
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| 368 | value: 1.0 |
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| 369 | } |
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| 370 | bias_term: true |
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| 371 | bias_filler { |
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| 372 | value: 0.0 |
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| 373 | } |
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| 374 | } |
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| 375 | } |
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| 376 | layer { |
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| 377 | name: "ReLU2" |
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| 378 | type: "ReLU" |
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| 379 | bottom: "BatchNorm2" |
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| 380 | top: "BatchNorm2" |
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| 381 | } |
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| 382 | layer { |
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| 383 | name: "Convolution2" |
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| 384 | type: "Convolution" |
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| 385 | bottom: "BatchNorm2" |
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| 386 | top: "Convolution2" |
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| 387 | param { |
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| 388 | lr_mult: 1.0 |
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| 389 | decay_mult: 1.0 |
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| 390 | } |
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| 391 | convolution_param { |
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| 392 | num_output: 16 |
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| 393 | bias_term: false |
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| 394 | pad: 1 |
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| 395 | pad: 1 |
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| 396 | pad: 1 |
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| 397 | kernel_size: 3 |
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| 398 | kernel_size: 3 |
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| 399 | kernel_size: 3 |
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| 400 | stride: 1 |
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| 401 | stride: 1 |
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| 402 | stride: 1 |
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| 403 | weight_filler { |
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| 404 | type: "msra" |
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| 405 | } |
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| 406 | bias_filler { |
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| 407 | type: "constant" |
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| 408 | } |
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| 409 | axis: 1 |
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| 410 | } |
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| 411 | } |
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| 412 | layer { |
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| 413 | name: "Dropout1" |
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| 414 | type: "Dropout" |
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| 415 | bottom: "Convolution2" |
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| 416 | top: "Dropout1" |
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| 417 | dropout_param { |
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| 418 | dropout_ratio: 0.20000000298 |
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| 419 | } |
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| 420 | } |
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| 421 | layer { |
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| 422 | name: "Concat_1" |
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| 423 | type: "Concat" |
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| 424 | bottom: "Conv_down_1" |
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| 425 | bottom: "Dropout1" |
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| 426 | top: "Concat_1" |
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| 427 | concat_param { |
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| 428 | axis: 1 |
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| 429 | } |
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| 430 | } |
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| 431 | layer { |
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| 432 | name: "BatchNorm3" |
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| 433 | type: "BatchNorm" |
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| 434 | bottom: "Concat_1" |
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| 435 | top: "BatchNorm3" |
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| 436 | param { |
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| 437 | lr_mult: 0.0 |
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| 438 | decay_mult: 0.0 |
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| 439 | } |
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| 440 | param { |
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| 441 | lr_mult: 0.0 |
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| 442 | decay_mult: 0.0 |
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| 443 | } |
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| 444 | param { |
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| 445 | lr_mult: 0.0 |
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| 446 | decay_mult: 0.0 |
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| 447 | } |
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| 448 | batch_norm_param { |
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| 449 | use_global_stats: false |
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| 450 | } |
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| 451 | } |
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| 452 | layer { |
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| 453 | name: "Scale3" |
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| 454 | type: "Scale" |
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| 455 | bottom: "BatchNorm3" |
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| 456 | top: "BatchNorm3" |
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| 457 | scale_param { |
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| 458 | filler { |
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| 459 | value: 1.0 |
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| 460 | } |
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| 461 | bias_term: true |
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| 462 | bias_filler { |
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| 463 | value: 0.0 |
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| 464 | } |
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| 465 | } |
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| 466 | } |
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| 467 | layer { |
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| 468 | name: "ReLU3" |
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| 469 | type: "ReLU" |
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| 470 | bottom: "BatchNorm3" |
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| 471 | top: "BatchNorm3" |
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| 472 | } |
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| 473 | layer { |
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| 474 | name: "Convolution3" |
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| 475 | type: "Convolution" |
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| 476 | bottom: "BatchNorm3" |
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| 477 | top: "Convolution3" |
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| 478 | param { |
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| 479 | lr_mult: 1.0 |
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| 480 | decay_mult: 1.0 |
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| 481 | } |
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| 482 | convolution_param { |
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| 483 | num_output: 64 |
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| 484 | bias_term: false |
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| 485 | pad: 0 |
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| 486 | pad: 0 |
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| 487 | pad: 0 |
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| 488 | kernel_size: 1 |
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| 489 | kernel_size: 1 |
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| 490 | kernel_size: 1 |
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| 491 | stride: 1 |
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| 492 | stride: 1 |
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| 493 | stride: 1 |
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| 494 | weight_filler { |
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| 495 | type: "msra" |
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| 496 | } |
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| 497 | bias_filler { |
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| 498 | type: "constant" |
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| 499 | } |
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| 500 | axis: 1 |
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| 501 | } |
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| 502 | } |
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| 503 | layer { |
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| 504 | name: "BatchNorm4" |
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| 505 | type: "BatchNorm" |
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| 506 | bottom: "Convolution3" |
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| 507 | top: "BatchNorm4" |
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| 508 | param { |
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| 509 | lr_mult: 0.0 |
||
| 510 | decay_mult: 0.0 |
||
| 511 | } |
||
| 512 | param { |
||
| 513 | lr_mult: 0.0 |
||
| 514 | decay_mult: 0.0 |
||
| 515 | } |
||
| 516 | param { |
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| 517 | lr_mult: 0.0 |
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| 518 | decay_mult: 0.0 |
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| 519 | } |
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| 520 | batch_norm_param { |
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| 521 | use_global_stats: false |
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| 522 | } |
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| 523 | } |
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| 524 | layer { |
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| 525 | name: "Scale4" |
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| 526 | type: "Scale" |
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| 527 | bottom: "BatchNorm4" |
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| 528 | top: "BatchNorm4" |
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| 529 | scale_param { |
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| 530 | filler { |
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| 531 | value: 1.0 |
||
| 532 | } |
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| 533 | bias_term: true |
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| 534 | bias_filler { |
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| 535 | value: 0.0 |
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| 536 | } |
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| 537 | } |
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| 538 | } |
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| 539 | layer { |
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| 540 | name: "ReLU4" |
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| 541 | type: "ReLU" |
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| 542 | bottom: "BatchNorm4" |
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| 543 | top: "BatchNorm4" |
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| 544 | } |
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| 545 | layer { |
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| 546 | name: "Convolution4" |
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| 547 | type: "Convolution" |
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| 548 | bottom: "BatchNorm4" |
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| 549 | top: "Convolution4" |
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| 550 | param { |
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| 551 | lr_mult: 1.0 |
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| 552 | decay_mult: 1.0 |
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| 553 | } |
||
| 554 | convolution_param { |
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| 555 | num_output: 16 |
||
| 556 | bias_term: false |
||
| 557 | pad: 1 |
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| 558 | pad: 1 |
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| 559 | pad: 1 |
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| 560 | kernel_size: 3 |
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| 561 | kernel_size: 3 |
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| 562 | kernel_size: 3 |
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| 563 | stride: 1 |
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| 564 | stride: 1 |
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| 565 | stride: 1 |
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| 566 | weight_filler { |
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| 567 | type: "msra" |
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| 568 | } |
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| 569 | bias_filler { |
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| 570 | type: "constant" |
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| 571 | } |
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| 572 | axis: 1 |
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| 573 | } |
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| 574 | } |
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| 575 | layer { |
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| 576 | name: "Dropout2" |
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| 577 | type: "Dropout" |
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| 578 | bottom: "Convolution4" |
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| 579 | top: "Dropout2" |
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| 580 | dropout_param { |
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| 581 | dropout_ratio: 0.20000000298 |
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| 582 | } |
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| 583 | } |
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| 584 | layer { |
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| 585 | name: "Concat_2" |
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| 586 | type: "Concat" |
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| 587 | bottom: "Concat_1" |
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| 588 | bottom: "Dropout2" |
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| 589 | top: "Concat_2" |
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| 590 | concat_param { |
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| 591 | axis: 1 |
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| 592 | } |
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| 593 | } |
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| 594 | layer { |
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| 595 | name: "BatchNorm5" |
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| 596 | type: "BatchNorm" |
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| 597 | bottom: "Concat_2" |
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| 598 | top: "BatchNorm5" |
||
| 599 | param { |
||
| 600 | lr_mult: 0.0 |
||
| 601 | decay_mult: 0.0 |
||
| 602 | } |
||
| 603 | param { |
||
| 604 | lr_mult: 0.0 |
||
| 605 | decay_mult: 0.0 |
||
| 606 | } |
||
| 607 | param { |
||
| 608 | lr_mult: 0.0 |
||
| 609 | decay_mult: 0.0 |
||
| 610 | } |
||
| 611 | batch_norm_param { |
||
| 612 | use_global_stats: false |
||
| 613 | } |
||
| 614 | } |
||
| 615 | layer { |
||
| 616 | name: "Scale5" |
||
| 617 | type: "Scale" |
||
| 618 | bottom: "BatchNorm5" |
||
| 619 | top: "BatchNorm5" |
||
| 620 | scale_param { |
||
| 621 | filler { |
||
| 622 | value: 1.0 |
||
| 623 | } |
||
| 624 | bias_term: true |
||
| 625 | bias_filler { |
||
| 626 | value: 0.0 |
||
| 627 | } |
||
| 628 | } |
||
| 629 | } |
||
| 630 | layer { |
||
| 631 | name: "ReLU5" |
||
| 632 | type: "ReLU" |
||
| 633 | bottom: "BatchNorm5" |
||
| 634 | top: "BatchNorm5" |
||
| 635 | } |
||
| 636 | layer { |
||
| 637 | name: "Convolution5" |
||
| 638 | type: "Convolution" |
||
| 639 | bottom: "BatchNorm5" |
||
| 640 | top: "Convolution5" |
||
| 641 | param { |
||
| 642 | lr_mult: 1.0 |
||
| 643 | decay_mult: 1.0 |
||
| 644 | } |
||
| 645 | convolution_param { |
||
| 646 | num_output: 64 |
||
| 647 | bias_term: false |
||
| 648 | pad: 0 |
||
| 649 | pad: 0 |
||
| 650 | pad: 0 |
||
| 651 | kernel_size: 1 |
||
| 652 | kernel_size: 1 |
||
| 653 | kernel_size: 1 |
||
| 654 | stride: 1 |
||
| 655 | stride: 1 |
||
| 656 | stride: 1 |
||
| 657 | weight_filler { |
||
| 658 | type: "msra" |
||
| 659 | } |
||
| 660 | bias_filler { |
||
| 661 | type: "constant" |
||
| 662 | } |
||
| 663 | axis: 1 |
||
| 664 | } |
||
| 665 | } |
||
| 666 | layer { |
||
| 667 | name: "BatchNorm6" |
||
| 668 | type: "BatchNorm" |
||
| 669 | bottom: "Convolution5" |
||
| 670 | top: "BatchNorm6" |
||
| 671 | param { |
||
| 672 | lr_mult: 0.0 |
||
| 673 | decay_mult: 0.0 |
||
| 674 | } |
||
| 675 | param { |
||
| 676 | lr_mult: 0.0 |
||
| 677 | decay_mult: 0.0 |
||
| 678 | } |
||
| 679 | param { |
||
| 680 | lr_mult: 0.0 |
||
| 681 | decay_mult: 0.0 |
||
| 682 | } |
||
| 683 | batch_norm_param { |
||
| 684 | use_global_stats: false |
||
| 685 | } |
||
| 686 | } |
||
| 687 | layer { |
||
| 688 | name: "Scale6" |
||
| 689 | type: "Scale" |
||
| 690 | bottom: "BatchNorm6" |
||
| 691 | top: "BatchNorm6" |
||
| 692 | scale_param { |
||
| 693 | filler { |
||
| 694 | value: 1.0 |
||
| 695 | } |
||
| 696 | bias_term: true |
||
| 697 | bias_filler { |
||
| 698 | value: 0.0 |
||
| 699 | } |
||
| 700 | } |
||
| 701 | } |
||
| 702 | layer { |
||
| 703 | name: "ReLU6" |
||
| 704 | type: "ReLU" |
||
| 705 | bottom: "BatchNorm6" |
||
| 706 | top: "BatchNorm6" |
||
| 707 | } |
||
| 708 | layer { |
||
| 709 | name: "Convolution6" |
||
| 710 | type: "Convolution" |
||
| 711 | bottom: "BatchNorm6" |
||
| 712 | top: "Convolution6" |
||
| 713 | param { |
||
| 714 | lr_mult: 1.0 |
||
| 715 | decay_mult: 1.0 |
||
| 716 | } |
||
| 717 | convolution_param { |
||
| 718 | num_output: 16 |
||
| 719 | bias_term: false |
||
| 720 | pad: 1 |
||
| 721 | pad: 1 |
||
| 722 | pad: 1 |
||
| 723 | kernel_size: 3 |
||
| 724 | kernel_size: 3 |
||
| 725 | kernel_size: 3 |
||
| 726 | stride: 1 |
||
| 727 | stride: 1 |
||
| 728 | stride: 1 |
||
| 729 | weight_filler { |
||
| 730 | type: "msra" |
||
| 731 | } |
||
| 732 | bias_filler { |
||
| 733 | type: "constant" |
||
| 734 | } |
||
| 735 | axis: 1 |
||
| 736 | } |
||
| 737 | } |
||
| 738 | layer { |
||
| 739 | name: "Dropout3" |
||
| 740 | type: "Dropout" |
||
| 741 | bottom: "Convolution6" |
||
| 742 | top: "Dropout3" |
||
| 743 | dropout_param { |
||
| 744 | dropout_ratio: 0.20000000298 |
||
| 745 | } |
||
| 746 | } |
||
| 747 | layer { |
||
| 748 | name: "Concat_3" |
||
| 749 | type: "Concat" |
||
| 750 | bottom: "Concat_2" |
||
| 751 | bottom: "Dropout3" |
||
| 752 | top: "Concat_3" |
||
| 753 | concat_param { |
||
| 754 | axis: 1 |
||
| 755 | } |
||
| 756 | } |
||
| 757 | layer { |
||
| 758 | name: "BatchNorm7" |
||
| 759 | type: "BatchNorm" |
||
| 760 | bottom: "Concat_3" |
||
| 761 | top: "BatchNorm7" |
||
| 762 | param { |
||
| 763 | lr_mult: 0.0 |
||
| 764 | decay_mult: 0.0 |
||
| 765 | } |
||
| 766 | param { |
||
| 767 | lr_mult: 0.0 |
||
| 768 | decay_mult: 0.0 |
||
| 769 | } |
||
| 770 | param { |
||
| 771 | lr_mult: 0.0 |
||
| 772 | decay_mult: 0.0 |
||
| 773 | } |
||
| 774 | batch_norm_param { |
||
| 775 | use_global_stats: false |
||
| 776 | } |
||
| 777 | } |
||
| 778 | layer { |
||
| 779 | name: "Scale7" |
||
| 780 | type: "Scale" |
||
| 781 | bottom: "BatchNorm7" |
||
| 782 | top: "BatchNorm7" |
||
| 783 | scale_param { |
||
| 784 | filler { |
||
| 785 | value: 1.0 |
||
| 786 | } |
||
| 787 | bias_term: true |
||
| 788 | bias_filler { |
||
| 789 | value: 0.0 |
||
| 790 | } |
||
| 791 | } |
||
| 792 | } |
||
| 793 | layer { |
||
| 794 | name: "ReLU7" |
||
| 795 | type: "ReLU" |
||
| 796 | bottom: "BatchNorm7" |
||
| 797 | top: "BatchNorm7" |
||
| 798 | } |
||
| 799 | layer { |
||
| 800 | name: "Convolution7" |
||
| 801 | type: "Convolution" |
||
| 802 | bottom: "BatchNorm7" |
||
| 803 | top: "Convolution7" |
||
| 804 | param { |
||
| 805 | lr_mult: 1.0 |
||
| 806 | decay_mult: 1.0 |
||
| 807 | } |
||
| 808 | convolution_param { |
||
| 809 | num_output: 64 |
||
| 810 | bias_term: false |
||
| 811 | pad: 0 |
||
| 812 | pad: 0 |
||
| 813 | pad: 0 |
||
| 814 | kernel_size: 1 |
||
| 815 | kernel_size: 1 |
||
| 816 | kernel_size: 1 |
||
| 817 | stride: 1 |
||
| 818 | stride: 1 |
||
| 819 | stride: 1 |
||
| 820 | weight_filler { |
||
| 821 | type: "msra" |
||
| 822 | } |
||
| 823 | bias_filler { |
||
| 824 | type: "constant" |
||
| 825 | } |
||
| 826 | axis: 1 |
||
| 827 | } |
||
| 828 | } |
||
| 829 | layer { |
||
| 830 | name: "BatchNorm8" |
||
| 831 | type: "BatchNorm" |
||
| 832 | bottom: "Convolution7" |
||
| 833 | top: "BatchNorm8" |
||
| 834 | param { |
||
| 835 | lr_mult: 0.0 |
||
| 836 | decay_mult: 0.0 |
||
| 837 | } |
||
| 838 | param { |
||
| 839 | lr_mult: 0.0 |
||
| 840 | decay_mult: 0.0 |
||
| 841 | } |
||
| 842 | param { |
||
| 843 | lr_mult: 0.0 |
||
| 844 | decay_mult: 0.0 |
||
| 845 | } |
||
| 846 | batch_norm_param { |
||
| 847 | use_global_stats: false |
||
| 848 | } |
||
| 849 | } |
||
| 850 | layer { |
||
| 851 | name: "Scale8" |
||
| 852 | type: "Scale" |
||
| 853 | bottom: "BatchNorm8" |
||
| 854 | top: "BatchNorm8" |
||
| 855 | scale_param { |
||
| 856 | filler { |
||
| 857 | value: 1.0 |
||
| 858 | } |
||
| 859 | bias_term: true |
||
| 860 | bias_filler { |
||
| 861 | value: 0.0 |
||
| 862 | } |
||
| 863 | } |
||
| 864 | } |
||
| 865 | layer { |
||
| 866 | name: "ReLU8" |
||
| 867 | type: "ReLU" |
||
| 868 | bottom: "BatchNorm8" |
||
| 869 | top: "BatchNorm8" |
||
| 870 | } |
||
| 871 | layer { |
||
| 872 | name: "Convolution8" |
||
| 873 | type: "Convolution" |
||
| 874 | bottom: "BatchNorm8" |
||
| 875 | top: "Convolution8" |
||
| 876 | param { |
||
| 877 | lr_mult: 1.0 |
||
| 878 | decay_mult: 1.0 |
||
| 879 | } |
||
| 880 | convolution_param { |
||
| 881 | num_output: 16 |
||
| 882 | bias_term: false |
||
| 883 | pad: 1 |
||
| 884 | pad: 1 |
||
| 885 | pad: 1 |
||
| 886 | kernel_size: 3 |
||
| 887 | kernel_size: 3 |
||
| 888 | kernel_size: 3 |
||
| 889 | stride: 1 |
||
| 890 | stride: 1 |
||
| 891 | stride: 1 |
||
| 892 | weight_filler { |
||
| 893 | type: "msra" |
||
| 894 | } |
||
| 895 | bias_filler { |
||
| 896 | type: "constant" |
||
| 897 | } |
||
| 898 | axis: 1 |
||
| 899 | } |
||
| 900 | } |
||
| 901 | layer { |
||
| 902 | name: "Dropout4" |
||
| 903 | type: "Dropout" |
||
| 904 | bottom: "Convolution8" |
||
| 905 | top: "Dropout4" |
||
| 906 | dropout_param { |
||
| 907 | dropout_ratio: 0.20000000298 |
||
| 908 | } |
||
| 909 | } |
||
| 910 | layer { |
||
| 911 | name: "Concat_4" |
||
| 912 | type: "Concat" |
||
| 913 | bottom: "Concat_3" |
||
| 914 | bottom: "Dropout4" |
||
| 915 | top: "Concat_4" |
||
| 916 | concat_param { |
||
| 917 | axis: 1 |
||
| 918 | } |
||
| 919 | } |
||
| 920 | layer { |
||
| 921 | name: "Deconvolution_5" |
||
| 922 | type: "Deconvolution" |
||
| 923 | bottom: "Concat_4" |
||
| 924 | top: "Deconvolution_5" |
||
| 925 | param { |
||
| 926 | lr_mult: 0.10000000149 |
||
| 927 | decay_mult: 1.0 |
||
| 928 | } |
||
| 929 | convolution_param { |
||
| 930 | num_output: 4 |
||
| 931 | bias_term: false |
||
| 932 | pad: 1 |
||
| 933 | pad: 1 |
||
| 934 | pad: 1 |
||
| 935 | kernel_size: 4 |
||
| 936 | kernel_size: 4 |
||
| 937 | kernel_size: 4 |
||
| 938 | group: 4 |
||
| 939 | stride: 2 |
||
| 940 | stride: 2 |
||
| 941 | stride: 2 |
||
| 942 | weight_filler { |
||
| 943 | type: "bilinear_3D" |
||
| 944 | } |
||
| 945 | } |
||
| 946 | } |
||
| 947 | layer { |
||
| 948 | name: "BatchNorm9" |
||
| 949 | type: "BatchNorm" |
||
| 950 | bottom: "Concat_4" |
||
| 951 | top: "BatchNorm9" |
||
| 952 | param { |
||
| 953 | lr_mult: 0.0 |
||
| 954 | decay_mult: 0.0 |
||
| 955 | } |
||
| 956 | param { |
||
| 957 | lr_mult: 0.0 |
||
| 958 | decay_mult: 0.0 |
||
| 959 | } |
||
| 960 | param { |
||
| 961 | lr_mult: 0.0 |
||
| 962 | decay_mult: 0.0 |
||
| 963 | } |
||
| 964 | batch_norm_param { |
||
| 965 | use_global_stats: false |
||
| 966 | } |
||
| 967 | } |
||
| 968 | layer { |
||
| 969 | name: "Scale9" |
||
| 970 | type: "Scale" |
||
| 971 | bottom: "BatchNorm9" |
||
| 972 | top: "BatchNorm9" |
||
| 973 | scale_param { |
||
| 974 | filler { |
||
| 975 | value: 1.0 |
||
| 976 | } |
||
| 977 | bias_term: true |
||
| 978 | bias_filler { |
||
| 979 | value: 0.0 |
||
| 980 | } |
||
| 981 | } |
||
| 982 | } |
||
| 983 | layer { |
||
| 984 | name: "ReLU9" |
||
| 985 | type: "ReLU" |
||
| 986 | bottom: "BatchNorm9" |
||
| 987 | top: "BatchNorm9" |
||
| 988 | } |
||
| 989 | layer { |
||
| 990 | name: "Convolution9" |
||
| 991 | type: "Convolution" |
||
| 992 | bottom: "BatchNorm9" |
||
| 993 | top: "Convolution9" |
||
| 994 | param { |
||
| 995 | lr_mult: 1.0 |
||
| 996 | decay_mult: 1.0 |
||
| 997 | } |
||
| 998 | convolution_param { |
||
| 999 | num_output: 48 |
||
| 1000 | bias_term: false |
||
| 1001 | pad: 0 |
||
| 1002 | pad: 0 |
||
| 1003 | pad: 0 |
||
| 1004 | kernel_size: 1 |
||
| 1005 | kernel_size: 1 |
||
| 1006 | kernel_size: 1 |
||
| 1007 | stride: 1 |
||
| 1008 | stride: 1 |
||
| 1009 | stride: 1 |
||
| 1010 | weight_filler { |
||
| 1011 | type: "msra" |
||
| 1012 | } |
||
| 1013 | bias_filler { |
||
| 1014 | type: "constant" |
||
| 1015 | } |
||
| 1016 | axis: 1 |
||
| 1017 | } |
||
| 1018 | } |
||
| 1019 | layer { |
||
| 1020 | name: "BatchNorm10" |
||
| 1021 | type: "BatchNorm" |
||
| 1022 | bottom: "Convolution9" |
||
| 1023 | top: "BatchNorm10" |
||
| 1024 | param { |
||
| 1025 | lr_mult: 0.0 |
||
| 1026 | decay_mult: 0.0 |
||
| 1027 | } |
||
| 1028 | param { |
||
| 1029 | lr_mult: 0.0 |
||
| 1030 | decay_mult: 0.0 |
||
| 1031 | } |
||
| 1032 | param { |
||
| 1033 | lr_mult: 0.0 |
||
| 1034 | decay_mult: 0.0 |
||
| 1035 | } |
||
| 1036 | batch_norm_param { |
||
| 1037 | use_global_stats: false |
||
| 1038 | } |
||
| 1039 | } |
||
| 1040 | layer { |
||
| 1041 | name: "Scale10" |
||
| 1042 | type: "Scale" |
||
| 1043 | bottom: "BatchNorm10" |
||
| 1044 | top: "BatchNorm10" |
||
| 1045 | scale_param { |
||
| 1046 | filler { |
||
| 1047 | value: 1.0 |
||
| 1048 | } |
||
| 1049 | bias_term: true |
||
| 1050 | bias_filler { |
||
| 1051 | value: 0.0 |
||
| 1052 | } |
||
| 1053 | } |
||
| 1054 | } |
||
| 1055 | layer { |
||
| 1056 | name: "ReLU10" |
||
| 1057 | type: "ReLU" |
||
| 1058 | bottom: "BatchNorm10" |
||
| 1059 | top: "BatchNorm10" |
||
| 1060 | } |
||
| 1061 | layer { |
||
| 1062 | name: "Conv_down_5" |
||
| 1063 | type: "Convolution" |
||
| 1064 | bottom: "BatchNorm10" |
||
| 1065 | top: "Conv_down_5" |
||
| 1066 | param { |
||
| 1067 | lr_mult: 1.0 |
||
| 1068 | decay_mult: 1.0 |
||
| 1069 | } |
||
| 1070 | convolution_param { |
||
| 1071 | num_output: 48 |
||
| 1072 | bias_term: false |
||
| 1073 | pad: 0 |
||
| 1074 | pad: 0 |
||
| 1075 | pad: 0 |
||
| 1076 | kernel_size: 2 |
||
| 1077 | kernel_size: 2 |
||
| 1078 | kernel_size: 2 |
||
| 1079 | stride: 2 |
||
| 1080 | weight_filler { |
||
| 1081 | type: "msra" |
||
| 1082 | } |
||
| 1083 | bias_filler { |
||
| 1084 | type: "constant" |
||
| 1085 | } |
||
| 1086 | axis: 1 |
||
| 1087 | } |
||
| 1088 | } |
||
| 1089 | layer { |
||
| 1090 | name: "BatchNorm11" |
||
| 1091 | type: "BatchNorm" |
||
| 1092 | bottom: "Conv_down_5" |
||
| 1093 | top: "BatchNorm11" |
||
| 1094 | param { |
||
| 1095 | lr_mult: 0.0 |
||
| 1096 | decay_mult: 0.0 |
||
| 1097 | } |
||
| 1098 | param { |
||
| 1099 | lr_mult: 0.0 |
||
| 1100 | decay_mult: 0.0 |
||
| 1101 | } |
||
| 1102 | param { |
||
| 1103 | lr_mult: 0.0 |
||
| 1104 | decay_mult: 0.0 |
||
| 1105 | } |
||
| 1106 | batch_norm_param { |
||
| 1107 | use_global_stats: false |
||
| 1108 | } |
||
| 1109 | } |
||
| 1110 | layer { |
||
| 1111 | name: "Scale11" |
||
| 1112 | type: "Scale" |
||
| 1113 | bottom: "BatchNorm11" |
||
| 1114 | top: "BatchNorm11" |
||
| 1115 | scale_param { |
||
| 1116 | filler { |
||
| 1117 | value: 1.0 |
||
| 1118 | } |
||
| 1119 | bias_term: true |
||
| 1120 | bias_filler { |
||
| 1121 | value: 0.0 |
||
| 1122 | } |
||
| 1123 | } |
||
| 1124 | } |
||
| 1125 | layer { |
||
| 1126 | name: "ReLU11" |
||
| 1127 | type: "ReLU" |
||
| 1128 | bottom: "BatchNorm11" |
||
| 1129 | top: "BatchNorm11" |
||
| 1130 | } |
||
| 1131 | layer { |
||
| 1132 | name: "Convolution10" |
||
| 1133 | type: "Convolution" |
||
| 1134 | bottom: "BatchNorm11" |
||
| 1135 | top: "Convolution10" |
||
| 1136 | param { |
||
| 1137 | lr_mult: 1.0 |
||
| 1138 | decay_mult: 1.0 |
||
| 1139 | } |
||
| 1140 | convolution_param { |
||
| 1141 | num_output: 64 |
||
| 1142 | bias_term: false |
||
| 1143 | pad: 0 |
||
| 1144 | pad: 0 |
||
| 1145 | pad: 0 |
||
| 1146 | kernel_size: 1 |
||
| 1147 | kernel_size: 1 |
||
| 1148 | kernel_size: 1 |
||
| 1149 | stride: 1 |
||
| 1150 | stride: 1 |
||
| 1151 | stride: 1 |
||
| 1152 | weight_filler { |
||
| 1153 | type: "msra" |
||
| 1154 | } |
||
| 1155 | bias_filler { |
||
| 1156 | type: "constant" |
||
| 1157 | } |
||
| 1158 | axis: 1 |
||
| 1159 | } |
||
| 1160 | } |
||
| 1161 | layer { |
||
| 1162 | name: "BatchNorm12" |
||
| 1163 | type: "BatchNorm" |
||
| 1164 | bottom: "Convolution10" |
||
| 1165 | top: "BatchNorm12" |
||
| 1166 | param { |
||
| 1167 | lr_mult: 0.0 |
||
| 1168 | decay_mult: 0.0 |
||
| 1169 | } |
||
| 1170 | param { |
||
| 1171 | lr_mult: 0.0 |
||
| 1172 | decay_mult: 0.0 |
||
| 1173 | } |
||
| 1174 | param { |
||
| 1175 | lr_mult: 0.0 |
||
| 1176 | decay_mult: 0.0 |
||
| 1177 | } |
||
| 1178 | batch_norm_param { |
||
| 1179 | use_global_stats: false |
||
| 1180 | } |
||
| 1181 | } |
||
| 1182 | layer { |
||
| 1183 | name: "Scale12" |
||
| 1184 | type: "Scale" |
||
| 1185 | bottom: "BatchNorm12" |
||
| 1186 | top: "BatchNorm12" |
||
| 1187 | scale_param { |
||
| 1188 | filler { |
||
| 1189 | value: 1.0 |
||
| 1190 | } |
||
| 1191 | bias_term: true |
||
| 1192 | bias_filler { |
||
| 1193 | value: 0.0 |
||
| 1194 | } |
||
| 1195 | } |
||
| 1196 | } |
||
| 1197 | layer { |
||
| 1198 | name: "ReLU12" |
||
| 1199 | type: "ReLU" |
||
| 1200 | bottom: "BatchNorm12" |
||
| 1201 | top: "BatchNorm12" |
||
| 1202 | } |
||
| 1203 | layer { |
||
| 1204 | name: "Convolution11" |
||
| 1205 | type: "Convolution" |
||
| 1206 | bottom: "BatchNorm12" |
||
| 1207 | top: "Convolution11" |
||
| 1208 | param { |
||
| 1209 | lr_mult: 1.0 |
||
| 1210 | decay_mult: 1.0 |
||
| 1211 | } |
||
| 1212 | convolution_param { |
||
| 1213 | num_output: 16 |
||
| 1214 | bias_term: false |
||
| 1215 | pad: 1 |
||
| 1216 | pad: 1 |
||
| 1217 | pad: 1 |
||
| 1218 | kernel_size: 3 |
||
| 1219 | kernel_size: 3 |
||
| 1220 | kernel_size: 3 |
||
| 1221 | stride: 1 |
||
| 1222 | stride: 1 |
||
| 1223 | stride: 1 |
||
| 1224 | weight_filler { |
||
| 1225 | type: "msra" |
||
| 1226 | } |
||
| 1227 | bias_filler { |
||
| 1228 | type: "constant" |
||
| 1229 | } |
||
| 1230 | axis: 1 |
||
| 1231 | } |
||
| 1232 | } |
||
| 1233 | layer { |
||
| 1234 | name: "Dropout5" |
||
| 1235 | type: "Dropout" |
||
| 1236 | bottom: "Convolution11" |
||
| 1237 | top: "Dropout5" |
||
| 1238 | dropout_param { |
||
| 1239 | dropout_ratio: 0.20000000298 |
||
| 1240 | } |
||
| 1241 | } |
||
| 1242 | layer { |
||
| 1243 | name: "Concat_6" |
||
| 1244 | type: "Concat" |
||
| 1245 | bottom: "Conv_down_5" |
||
| 1246 | bottom: "Dropout5" |
||
| 1247 | top: "Concat_6" |
||
| 1248 | concat_param { |
||
| 1249 | axis: 1 |
||
| 1250 | } |
||
| 1251 | } |
||
| 1252 | layer { |
||
| 1253 | name: "BatchNorm13" |
||
| 1254 | type: "BatchNorm" |
||
| 1255 | bottom: "Concat_6" |
||
| 1256 | top: "BatchNorm13" |
||
| 1257 | param { |
||
| 1258 | lr_mult: 0.0 |
||
| 1259 | decay_mult: 0.0 |
||
| 1260 | } |
||
| 1261 | param { |
||
| 1262 | lr_mult: 0.0 |
||
| 1263 | decay_mult: 0.0 |
||
| 1264 | } |
||
| 1265 | param { |
||
| 1266 | lr_mult: 0.0 |
||
| 1267 | decay_mult: 0.0 |
||
| 1268 | } |
||
| 1269 | batch_norm_param { |
||
| 1270 | use_global_stats: false |
||
| 1271 | } |
||
| 1272 | } |
||
| 1273 | layer { |
||
| 1274 | name: "Scale13" |
||
| 1275 | type: "Scale" |
||
| 1276 | bottom: "BatchNorm13" |
||
| 1277 | top: "BatchNorm13" |
||
| 1278 | scale_param { |
||
| 1279 | filler { |
||
| 1280 | value: 1.0 |
||
| 1281 | } |
||
| 1282 | bias_term: true |
||
| 1283 | bias_filler { |
||
| 1284 | value: 0.0 |
||
| 1285 | } |
||
| 1286 | } |
||
| 1287 | } |
||
| 1288 | layer { |
||
| 1289 | name: "ReLU13" |
||
| 1290 | type: "ReLU" |
||
| 1291 | bottom: "BatchNorm13" |
||
| 1292 | top: "BatchNorm13" |
||
| 1293 | } |
||
| 1294 | layer { |
||
| 1295 | name: "Convolution12" |
||
| 1296 | type: "Convolution" |
||
| 1297 | bottom: "BatchNorm13" |
||
| 1298 | top: "Convolution12" |
||
| 1299 | param { |
||
| 1300 | lr_mult: 1.0 |
||
| 1301 | decay_mult: 1.0 |
||
| 1302 | } |
||
| 1303 | convolution_param { |
||
| 1304 | num_output: 64 |
||
| 1305 | bias_term: false |
||
| 1306 | pad: 0 |
||
| 1307 | pad: 0 |
||
| 1308 | pad: 0 |
||
| 1309 | kernel_size: 1 |
||
| 1310 | kernel_size: 1 |
||
| 1311 | kernel_size: 1 |
||
| 1312 | stride: 1 |
||
| 1313 | stride: 1 |
||
| 1314 | stride: 1 |
||
| 1315 | weight_filler { |
||
| 1316 | type: "msra" |
||
| 1317 | } |
||
| 1318 | bias_filler { |
||
| 1319 | type: "constant" |
||
| 1320 | } |
||
| 1321 | axis: 1 |
||
| 1322 | } |
||
| 1323 | } |
||
| 1324 | layer { |
||
| 1325 | name: "BatchNorm14" |
||
| 1326 | type: "BatchNorm" |
||
| 1327 | bottom: "Convolution12" |
||
| 1328 | top: "BatchNorm14" |
||
| 1329 | param { |
||
| 1330 | lr_mult: 0.0 |
||
| 1331 | decay_mult: 0.0 |
||
| 1332 | } |
||
| 1333 | param { |
||
| 1334 | lr_mult: 0.0 |
||
| 1335 | decay_mult: 0.0 |
||
| 1336 | } |
||
| 1337 | param { |
||
| 1338 | lr_mult: 0.0 |
||
| 1339 | decay_mult: 0.0 |
||
| 1340 | } |
||
| 1341 | batch_norm_param { |
||
| 1342 | use_global_stats: false |
||
| 1343 | } |
||
| 1344 | } |
||
| 1345 | layer { |
||
| 1346 | name: "Scale14" |
||
| 1347 | type: "Scale" |
||
| 1348 | bottom: "BatchNorm14" |
||
| 1349 | top: "BatchNorm14" |
||
| 1350 | scale_param { |
||
| 1351 | filler { |
||
| 1352 | value: 1.0 |
||
| 1353 | } |
||
| 1354 | bias_term: true |
||
| 1355 | bias_filler { |
||
| 1356 | value: 0.0 |
||
| 1357 | } |
||
| 1358 | } |
||
| 1359 | } |
||
| 1360 | layer { |
||
| 1361 | name: "ReLU14" |
||
| 1362 | type: "ReLU" |
||
| 1363 | bottom: "BatchNorm14" |
||
| 1364 | top: "BatchNorm14" |
||
| 1365 | } |
||
| 1366 | layer { |
||
| 1367 | name: "Convolution13" |
||
| 1368 | type: "Convolution" |
||
| 1369 | bottom: "BatchNorm14" |
||
| 1370 | top: "Convolution13" |
||
| 1371 | param { |
||
| 1372 | lr_mult: 1.0 |
||
| 1373 | decay_mult: 1.0 |
||
| 1374 | } |
||
| 1375 | convolution_param { |
||
| 1376 | num_output: 16 |
||
| 1377 | bias_term: false |
||
| 1378 | pad: 1 |
||
| 1379 | pad: 1 |
||
| 1380 | pad: 1 |
||
| 1381 | kernel_size: 3 |
||
| 1382 | kernel_size: 3 |
||
| 1383 | kernel_size: 3 |
||
| 1384 | stride: 1 |
||
| 1385 | stride: 1 |
||
| 1386 | stride: 1 |
||
| 1387 | weight_filler { |
||
| 1388 | type: "msra" |
||
| 1389 | } |
||
| 1390 | bias_filler { |
||
| 1391 | type: "constant" |
||
| 1392 | } |
||
| 1393 | axis: 1 |
||
| 1394 | } |
||
| 1395 | } |
||
| 1396 | layer { |
||
| 1397 | name: "Dropout6" |
||
| 1398 | type: "Dropout" |
||
| 1399 | bottom: "Convolution13" |
||
| 1400 | top: "Dropout6" |
||
| 1401 | dropout_param { |
||
| 1402 | dropout_ratio: 0.20000000298 |
||
| 1403 | } |
||
| 1404 | } |
||
| 1405 | layer { |
||
| 1406 | name: "Concat_7" |
||
| 1407 | type: "Concat" |
||
| 1408 | bottom: "Concat_6" |
||
| 1409 | bottom: "Dropout6" |
||
| 1410 | top: "Concat_7" |
||
| 1411 | concat_param { |
||
| 1412 | axis: 1 |
||
| 1413 | } |
||
| 1414 | } |
||
| 1415 | layer { |
||
| 1416 | name: "BatchNorm15" |
||
| 1417 | type: "BatchNorm" |
||
| 1418 | bottom: "Concat_7" |
||
| 1419 | top: "BatchNorm15" |
||
| 1420 | param { |
||
| 1421 | lr_mult: 0.0 |
||
| 1422 | decay_mult: 0.0 |
||
| 1423 | } |
||
| 1424 | param { |
||
| 1425 | lr_mult: 0.0 |
||
| 1426 | decay_mult: 0.0 |
||
| 1427 | } |
||
| 1428 | param { |
||
| 1429 | lr_mult: 0.0 |
||
| 1430 | decay_mult: 0.0 |
||
| 1431 | } |
||
| 1432 | batch_norm_param { |
||
| 1433 | use_global_stats: false |
||
| 1434 | } |
||
| 1435 | } |
||
| 1436 | layer { |
||
| 1437 | name: "Scale15" |
||
| 1438 | type: "Scale" |
||
| 1439 | bottom: "BatchNorm15" |
||
| 1440 | top: "BatchNorm15" |
||
| 1441 | scale_param { |
||
| 1442 | filler { |
||
| 1443 | value: 1.0 |
||
| 1444 | } |
||
| 1445 | bias_term: true |
||
| 1446 | bias_filler { |
||
| 1447 | value: 0.0 |
||
| 1448 | } |
||
| 1449 | } |
||
| 1450 | } |
||
| 1451 | layer { |
||
| 1452 | name: "ReLU15" |
||
| 1453 | type: "ReLU" |
||
| 1454 | bottom: "BatchNorm15" |
||
| 1455 | top: "BatchNorm15" |
||
| 1456 | } |
||
| 1457 | layer { |
||
| 1458 | name: "Convolution14" |
||
| 1459 | type: "Convolution" |
||
| 1460 | bottom: "BatchNorm15" |
||
| 1461 | top: "Convolution14" |
||
| 1462 | param { |
||
| 1463 | lr_mult: 1.0 |
||
| 1464 | decay_mult: 1.0 |
||
| 1465 | } |
||
| 1466 | convolution_param { |
||
| 1467 | num_output: 64 |
||
| 1468 | bias_term: false |
||
| 1469 | pad: 0 |
||
| 1470 | pad: 0 |
||
| 1471 | pad: 0 |
||
| 1472 | kernel_size: 1 |
||
| 1473 | kernel_size: 1 |
||
| 1474 | kernel_size: 1 |
||
| 1475 | stride: 1 |
||
| 1476 | stride: 1 |
||
| 1477 | stride: 1 |
||
| 1478 | weight_filler { |
||
| 1479 | type: "msra" |
||
| 1480 | } |
||
| 1481 | bias_filler { |
||
| 1482 | type: "constant" |
||
| 1483 | } |
||
| 1484 | axis: 1 |
||
| 1485 | } |
||
| 1486 | } |
||
| 1487 | layer { |
||
| 1488 | name: "BatchNorm16" |
||
| 1489 | type: "BatchNorm" |
||
| 1490 | bottom: "Convolution14" |
||
| 1491 | top: "BatchNorm16" |
||
| 1492 | param { |
||
| 1493 | lr_mult: 0.0 |
||
| 1494 | decay_mult: 0.0 |
||
| 1495 | } |
||
| 1496 | param { |
||
| 1497 | lr_mult: 0.0 |
||
| 1498 | decay_mult: 0.0 |
||
| 1499 | } |
||
| 1500 | param { |
||
| 1501 | lr_mult: 0.0 |
||
| 1502 | decay_mult: 0.0 |
||
| 1503 | } |
||
| 1504 | batch_norm_param { |
||
| 1505 | use_global_stats: false |
||
| 1506 | } |
||
| 1507 | } |
||
| 1508 | layer { |
||
| 1509 | name: "Scale16" |
||
| 1510 | type: "Scale" |
||
| 1511 | bottom: "BatchNorm16" |
||
| 1512 | top: "BatchNorm16" |
||
| 1513 | scale_param { |
||
| 1514 | filler { |
||
| 1515 | value: 1.0 |
||
| 1516 | } |
||
| 1517 | bias_term: true |
||
| 1518 | bias_filler { |
||
| 1519 | value: 0.0 |
||
| 1520 | } |
||
| 1521 | } |
||
| 1522 | } |
||
| 1523 | layer { |
||
| 1524 | name: "ReLU16" |
||
| 1525 | type: "ReLU" |
||
| 1526 | bottom: "BatchNorm16" |
||
| 1527 | top: "BatchNorm16" |
||
| 1528 | } |
||
| 1529 | layer { |
||
| 1530 | name: "Convolution15" |
||
| 1531 | type: "Convolution" |
||
| 1532 | bottom: "BatchNorm16" |
||
| 1533 | top: "Convolution15" |
||
| 1534 | param { |
||
| 1535 | lr_mult: 1.0 |
||
| 1536 | decay_mult: 1.0 |
||
| 1537 | } |
||
| 1538 | convolution_param { |
||
| 1539 | num_output: 16 |
||
| 1540 | bias_term: false |
||
| 1541 | pad: 1 |
||
| 1542 | pad: 1 |
||
| 1543 | pad: 1 |
||
| 1544 | kernel_size: 3 |
||
| 1545 | kernel_size: 3 |
||
| 1546 | kernel_size: 3 |
||
| 1547 | stride: 1 |
||
| 1548 | stride: 1 |
||
| 1549 | stride: 1 |
||
| 1550 | weight_filler { |
||
| 1551 | type: "msra" |
||
| 1552 | } |
||
| 1553 | bias_filler { |
||
| 1554 | type: "constant" |
||
| 1555 | } |
||
| 1556 | axis: 1 |
||
| 1557 | } |
||
| 1558 | } |
||
| 1559 | layer { |
||
| 1560 | name: "Dropout7" |
||
| 1561 | type: "Dropout" |
||
| 1562 | bottom: "Convolution15" |
||
| 1563 | top: "Dropout7" |
||
| 1564 | dropout_param { |
||
| 1565 | dropout_ratio: 0.20000000298 |
||
| 1566 | } |
||
| 1567 | } |
||
| 1568 | layer { |
||
| 1569 | name: "Concat_8" |
||
| 1570 | type: "Concat" |
||
| 1571 | bottom: "Concat_7" |
||
| 1572 | bottom: "Dropout7" |
||
| 1573 | top: "Concat_8" |
||
| 1574 | concat_param { |
||
| 1575 | axis: 1 |
||
| 1576 | } |
||
| 1577 | } |
||
| 1578 | layer { |
||
| 1579 | name: "BatchNorm17" |
||
| 1580 | type: "BatchNorm" |
||
| 1581 | bottom: "Concat_8" |
||
| 1582 | top: "BatchNorm17" |
||
| 1583 | param { |
||
| 1584 | lr_mult: 0.0 |
||
| 1585 | decay_mult: 0.0 |
||
| 1586 | } |
||
| 1587 | param { |
||
| 1588 | lr_mult: 0.0 |
||
| 1589 | decay_mult: 0.0 |
||
| 1590 | } |
||
| 1591 | param { |
||
| 1592 | lr_mult: 0.0 |
||
| 1593 | decay_mult: 0.0 |
||
| 1594 | } |
||
| 1595 | batch_norm_param { |
||
| 1596 | use_global_stats: false |
||
| 1597 | } |
||
| 1598 | } |
||
| 1599 | layer { |
||
| 1600 | name: "Scale17" |
||
| 1601 | type: "Scale" |
||
| 1602 | bottom: "BatchNorm17" |
||
| 1603 | top: "BatchNorm17" |
||
| 1604 | scale_param { |
||
| 1605 | filler { |
||
| 1606 | value: 1.0 |
||
| 1607 | } |
||
| 1608 | bias_term: true |
||
| 1609 | bias_filler { |
||
| 1610 | value: 0.0 |
||
| 1611 | } |
||
| 1612 | } |
||
| 1613 | } |
||
| 1614 | layer { |
||
| 1615 | name: "ReLU17" |
||
| 1616 | type: "ReLU" |
||
| 1617 | bottom: "BatchNorm17" |
||
| 1618 | top: "BatchNorm17" |
||
| 1619 | } |
||
| 1620 | layer { |
||
| 1621 | name: "Convolution16" |
||
| 1622 | type: "Convolution" |
||
| 1623 | bottom: "BatchNorm17" |
||
| 1624 | top: "Convolution16" |
||
| 1625 | param { |
||
| 1626 | lr_mult: 1.0 |
||
| 1627 | decay_mult: 1.0 |
||
| 1628 | } |
||
| 1629 | convolution_param { |
||
| 1630 | num_output: 64 |
||
| 1631 | bias_term: false |
||
| 1632 | pad: 0 |
||
| 1633 | pad: 0 |
||
| 1634 | pad: 0 |
||
| 1635 | kernel_size: 1 |
||
| 1636 | kernel_size: 1 |
||
| 1637 | kernel_size: 1 |
||
| 1638 | stride: 1 |
||
| 1639 | stride: 1 |
||
| 1640 | stride: 1 |
||
| 1641 | weight_filler { |
||
| 1642 | type: "msra" |
||
| 1643 | } |
||
| 1644 | bias_filler { |
||
| 1645 | type: "constant" |
||
| 1646 | } |
||
| 1647 | axis: 1 |
||
| 1648 | } |
||
| 1649 | } |
||
| 1650 | layer { |
||
| 1651 | name: "BatchNorm18" |
||
| 1652 | type: "BatchNorm" |
||
| 1653 | bottom: "Convolution16" |
||
| 1654 | top: "BatchNorm18" |
||
| 1655 | param { |
||
| 1656 | lr_mult: 0.0 |
||
| 1657 | decay_mult: 0.0 |
||
| 1658 | } |
||
| 1659 | param { |
||
| 1660 | lr_mult: 0.0 |
||
| 1661 | decay_mult: 0.0 |
||
| 1662 | } |
||
| 1663 | param { |
||
| 1664 | lr_mult: 0.0 |
||
| 1665 | decay_mult: 0.0 |
||
| 1666 | } |
||
| 1667 | batch_norm_param { |
||
| 1668 | use_global_stats: false |
||
| 1669 | } |
||
| 1670 | } |
||
| 1671 | layer { |
||
| 1672 | name: "Scale18" |
||
| 1673 | type: "Scale" |
||
| 1674 | bottom: "BatchNorm18" |
||
| 1675 | top: "BatchNorm18" |
||
| 1676 | scale_param { |
||
| 1677 | filler { |
||
| 1678 | value: 1.0 |
||
| 1679 | } |
||
| 1680 | bias_term: true |
||
| 1681 | bias_filler { |
||
| 1682 | value: 0.0 |
||
| 1683 | } |
||
| 1684 | } |
||
| 1685 | } |
||
| 1686 | layer { |
||
| 1687 | name: "ReLU18" |
||
| 1688 | type: "ReLU" |
||
| 1689 | bottom: "BatchNorm18" |
||
| 1690 | top: "BatchNorm18" |
||
| 1691 | } |
||
| 1692 | layer { |
||
| 1693 | name: "Convolution17" |
||
| 1694 | type: "Convolution" |
||
| 1695 | bottom: "BatchNorm18" |
||
| 1696 | top: "Convolution17" |
||
| 1697 | param { |
||
| 1698 | lr_mult: 1.0 |
||
| 1699 | decay_mult: 1.0 |
||
| 1700 | } |
||
| 1701 | convolution_param { |
||
| 1702 | num_output: 16 |
||
| 1703 | bias_term: false |
||
| 1704 | pad: 1 |
||
| 1705 | pad: 1 |
||
| 1706 | pad: 1 |
||
| 1707 | kernel_size: 3 |
||
| 1708 | kernel_size: 3 |
||
| 1709 | kernel_size: 3 |
||
| 1710 | stride: 1 |
||
| 1711 | stride: 1 |
||
| 1712 | stride: 1 |
||
| 1713 | weight_filler { |
||
| 1714 | type: "msra" |
||
| 1715 | } |
||
| 1716 | bias_filler { |
||
| 1717 | type: "constant" |
||
| 1718 | } |
||
| 1719 | axis: 1 |
||
| 1720 | } |
||
| 1721 | } |
||
| 1722 | layer { |
||
| 1723 | name: "Dropout8" |
||
| 1724 | type: "Dropout" |
||
| 1725 | bottom: "Convolution17" |
||
| 1726 | top: "Dropout8" |
||
| 1727 | dropout_param { |
||
| 1728 | dropout_ratio: 0.20000000298 |
||
| 1729 | } |
||
| 1730 | } |
||
| 1731 | layer { |
||
| 1732 | name: "Concat_9" |
||
| 1733 | type: "Concat" |
||
| 1734 | bottom: "Concat_8" |
||
| 1735 | bottom: "Dropout8" |
||
| 1736 | top: "Concat_9" |
||
| 1737 | concat_param { |
||
| 1738 | axis: 1 |
||
| 1739 | } |
||
| 1740 | } |
||
| 1741 | layer { |
||
| 1742 | name: "Deconvolution_10" |
||
| 1743 | type: "Deconvolution" |
||
| 1744 | bottom: "Concat_9" |
||
| 1745 | top: "Deconvolution_10" |
||
| 1746 | param { |
||
| 1747 | lr_mult: 0.10000000149 |
||
| 1748 | decay_mult: 1.0 |
||
| 1749 | } |
||
| 1750 | convolution_param { |
||
| 1751 | num_output: 4 |
||
| 1752 | bias_term: false |
||
| 1753 | pad: 1 |
||
| 1754 | pad: 1 |
||
| 1755 | pad: 1 |
||
| 1756 | kernel_size: 6 |
||
| 1757 | kernel_size: 6 |
||
| 1758 | kernel_size: 6 |
||
| 1759 | group: 4 |
||
| 1760 | stride: 4 |
||
| 1761 | stride: 4 |
||
| 1762 | stride: 4 |
||
| 1763 | weight_filler { |
||
| 1764 | type: "bilinear_3D" |
||
| 1765 | } |
||
| 1766 | } |
||
| 1767 | } |
||
| 1768 | layer { |
||
| 1769 | name: "BatchNorm19" |
||
| 1770 | type: "BatchNorm" |
||
| 1771 | bottom: "Concat_9" |
||
| 1772 | top: "BatchNorm19" |
||
| 1773 | param { |
||
| 1774 | lr_mult: 0.0 |
||
| 1775 | decay_mult: 0.0 |
||
| 1776 | } |
||
| 1777 | param { |
||
| 1778 | lr_mult: 0.0 |
||
| 1779 | decay_mult: 0.0 |
||
| 1780 | } |
||
| 1781 | param { |
||
| 1782 | lr_mult: 0.0 |
||
| 1783 | decay_mult: 0.0 |
||
| 1784 | } |
||
| 1785 | batch_norm_param { |
||
| 1786 | use_global_stats: false |
||
| 1787 | } |
||
| 1788 | } |
||
| 1789 | layer { |
||
| 1790 | name: "Scale19" |
||
| 1791 | type: "Scale" |
||
| 1792 | bottom: "BatchNorm19" |
||
| 1793 | top: "BatchNorm19" |
||
| 1794 | scale_param { |
||
| 1795 | filler { |
||
| 1796 | value: 1.0 |
||
| 1797 | } |
||
| 1798 | bias_term: true |
||
| 1799 | bias_filler { |
||
| 1800 | value: 0.0 |
||
| 1801 | } |
||
| 1802 | } |
||
| 1803 | } |
||
| 1804 | layer { |
||
| 1805 | name: "ReLU19" |
||
| 1806 | type: "ReLU" |
||
| 1807 | bottom: "BatchNorm19" |
||
| 1808 | top: "BatchNorm19" |
||
| 1809 | } |
||
| 1810 | layer { |
||
| 1811 | name: "Convolution18" |
||
| 1812 | type: "Convolution" |
||
| 1813 | bottom: "BatchNorm19" |
||
| 1814 | top: "Convolution18" |
||
| 1815 | param { |
||
| 1816 | lr_mult: 1.0 |
||
| 1817 | decay_mult: 1.0 |
||
| 1818 | } |
||
| 1819 | convolution_param { |
||
| 1820 | num_output: 56 |
||
| 1821 | bias_term: false |
||
| 1822 | pad: 0 |
||
| 1823 | pad: 0 |
||
| 1824 | pad: 0 |
||
| 1825 | kernel_size: 1 |
||
| 1826 | kernel_size: 1 |
||
| 1827 | kernel_size: 1 |
||
| 1828 | stride: 1 |
||
| 1829 | stride: 1 |
||
| 1830 | stride: 1 |
||
| 1831 | weight_filler { |
||
| 1832 | type: "msra" |
||
| 1833 | } |
||
| 1834 | bias_filler { |
||
| 1835 | type: "constant" |
||
| 1836 | } |
||
| 1837 | axis: 1 |
||
| 1838 | } |
||
| 1839 | } |
||
| 1840 | layer { |
||
| 1841 | name: "BatchNorm20" |
||
| 1842 | type: "BatchNorm" |
||
| 1843 | bottom: "Convolution18" |
||
| 1844 | top: "BatchNorm20" |
||
| 1845 | param { |
||
| 1846 | lr_mult: 0.0 |
||
| 1847 | decay_mult: 0.0 |
||
| 1848 | } |
||
| 1849 | param { |
||
| 1850 | lr_mult: 0.0 |
||
| 1851 | decay_mult: 0.0 |
||
| 1852 | } |
||
| 1853 | param { |
||
| 1854 | lr_mult: 0.0 |
||
| 1855 | decay_mult: 0.0 |
||
| 1856 | } |
||
| 1857 | batch_norm_param { |
||
| 1858 | use_global_stats: false |
||
| 1859 | } |
||
| 1860 | } |
||
| 1861 | layer { |
||
| 1862 | name: "Scale20" |
||
| 1863 | type: "Scale" |
||
| 1864 | bottom: "BatchNorm20" |
||
| 1865 | top: "BatchNorm20" |
||
| 1866 | scale_param { |
||
| 1867 | filler { |
||
| 1868 | value: 1.0 |
||
| 1869 | } |
||
| 1870 | bias_term: true |
||
| 1871 | bias_filler { |
||
| 1872 | value: 0.0 |
||
| 1873 | } |
||
| 1874 | } |
||
| 1875 | } |
||
| 1876 | layer { |
||
| 1877 | name: "ReLU20" |
||
| 1878 | type: "ReLU" |
||
| 1879 | bottom: "BatchNorm20" |
||
| 1880 | top: "BatchNorm20" |
||
| 1881 | } |
||
| 1882 | layer { |
||
| 1883 | name: "Conv_down_10" |
||
| 1884 | type: "Convolution" |
||
| 1885 | bottom: "BatchNorm20" |
||
| 1886 | top: "Conv_down_10" |
||
| 1887 | param { |
||
| 1888 | lr_mult: 1.0 |
||
| 1889 | decay_mult: 1.0 |
||
| 1890 | } |
||
| 1891 | convolution_param { |
||
| 1892 | num_output: 56 |
||
| 1893 | bias_term: false |
||
| 1894 | pad: 0 |
||
| 1895 | pad: 0 |
||
| 1896 | pad: 0 |
||
| 1897 | kernel_size: 2 |
||
| 1898 | kernel_size: 2 |
||
| 1899 | kernel_size: 2 |
||
| 1900 | stride: 2 |
||
| 1901 | weight_filler { |
||
| 1902 | type: "msra" |
||
| 1903 | } |
||
| 1904 | bias_filler { |
||
| 1905 | type: "constant" |
||
| 1906 | } |
||
| 1907 | axis: 1 |
||
| 1908 | } |
||
| 1909 | } |
||
| 1910 | layer { |
||
| 1911 | name: "BatchNorm21" |
||
| 1912 | type: "BatchNorm" |
||
| 1913 | bottom: "Conv_down_10" |
||
| 1914 | top: "BatchNorm21" |
||
| 1915 | param { |
||
| 1916 | lr_mult: 0.0 |
||
| 1917 | decay_mult: 0.0 |
||
| 1918 | } |
||
| 1919 | param { |
||
| 1920 | lr_mult: 0.0 |
||
| 1921 | decay_mult: 0.0 |
||
| 1922 | } |
||
| 1923 | param { |
||
| 1924 | lr_mult: 0.0 |
||
| 1925 | decay_mult: 0.0 |
||
| 1926 | } |
||
| 1927 | batch_norm_param { |
||
| 1928 | use_global_stats: false |
||
| 1929 | } |
||
| 1930 | } |
||
| 1931 | layer { |
||
| 1932 | name: "Scale21" |
||
| 1933 | type: "Scale" |
||
| 1934 | bottom: "BatchNorm21" |
||
| 1935 | top: "BatchNorm21" |
||
| 1936 | scale_param { |
||
| 1937 | filler { |
||
| 1938 | value: 1.0 |
||
| 1939 | } |
||
| 1940 | bias_term: true |
||
| 1941 | bias_filler { |
||
| 1942 | value: 0.0 |
||
| 1943 | } |
||
| 1944 | } |
||
| 1945 | } |
||
| 1946 | layer { |
||
| 1947 | name: "ReLU21" |
||
| 1948 | type: "ReLU" |
||
| 1949 | bottom: "BatchNorm21" |
||
| 1950 | top: "BatchNorm21" |
||
| 1951 | } |
||
| 1952 | layer { |
||
| 1953 | name: "Convolution19" |
||
| 1954 | type: "Convolution" |
||
| 1955 | bottom: "BatchNorm21" |
||
| 1956 | top: "Convolution19" |
||
| 1957 | param { |
||
| 1958 | lr_mult: 1.0 |
||
| 1959 | decay_mult: 1.0 |
||
| 1960 | } |
||
| 1961 | convolution_param { |
||
| 1962 | num_output: 64 |
||
| 1963 | bias_term: false |
||
| 1964 | pad: 0 |
||
| 1965 | pad: 0 |
||
| 1966 | pad: 0 |
||
| 1967 | kernel_size: 1 |
||
| 1968 | kernel_size: 1 |
||
| 1969 | kernel_size: 1 |
||
| 1970 | stride: 1 |
||
| 1971 | stride: 1 |
||
| 1972 | stride: 1 |
||
| 1973 | weight_filler { |
||
| 1974 | type: "msra" |
||
| 1975 | } |
||
| 1976 | bias_filler { |
||
| 1977 | type: "constant" |
||
| 1978 | } |
||
| 1979 | axis: 1 |
||
| 1980 | } |
||
| 1981 | } |
||
| 1982 | layer { |
||
| 1983 | name: "BatchNorm22" |
||
| 1984 | type: "BatchNorm" |
||
| 1985 | bottom: "Convolution19" |
||
| 1986 | top: "BatchNorm22" |
||
| 1987 | param { |
||
| 1988 | lr_mult: 0.0 |
||
| 1989 | decay_mult: 0.0 |
||
| 1990 | } |
||
| 1991 | param { |
||
| 1992 | lr_mult: 0.0 |
||
| 1993 | decay_mult: 0.0 |
||
| 1994 | } |
||
| 1995 | param { |
||
| 1996 | lr_mult: 0.0 |
||
| 1997 | decay_mult: 0.0 |
||
| 1998 | } |
||
| 1999 | batch_norm_param { |
||
| 2000 | use_global_stats: false |
||
| 2001 | } |
||
| 2002 | } |
||
| 2003 | layer { |
||
| 2004 | name: "Scale22" |
||
| 2005 | type: "Scale" |
||
| 2006 | bottom: "BatchNorm22" |
||
| 2007 | top: "BatchNorm22" |
||
| 2008 | scale_param { |
||
| 2009 | filler { |
||
| 2010 | value: 1.0 |
||
| 2011 | } |
||
| 2012 | bias_term: true |
||
| 2013 | bias_filler { |
||
| 2014 | value: 0.0 |
||
| 2015 | } |
||
| 2016 | } |
||
| 2017 | } |
||
| 2018 | layer { |
||
| 2019 | name: "ReLU22" |
||
| 2020 | type: "ReLU" |
||
| 2021 | bottom: "BatchNorm22" |
||
| 2022 | top: "BatchNorm22" |
||
| 2023 | } |
||
| 2024 | layer { |
||
| 2025 | name: "Convolution20" |
||
| 2026 | type: "Convolution" |
||
| 2027 | bottom: "BatchNorm22" |
||
| 2028 | top: "Convolution20" |
||
| 2029 | param { |
||
| 2030 | lr_mult: 1.0 |
||
| 2031 | decay_mult: 1.0 |
||
| 2032 | } |
||
| 2033 | convolution_param { |
||
| 2034 | num_output: 16 |
||
| 2035 | bias_term: false |
||
| 2036 | pad: 1 |
||
| 2037 | pad: 1 |
||
| 2038 | pad: 1 |
||
| 2039 | kernel_size: 3 |
||
| 2040 | kernel_size: 3 |
||
| 2041 | kernel_size: 3 |
||
| 2042 | stride: 1 |
||
| 2043 | stride: 1 |
||
| 2044 | stride: 1 |
||
| 2045 | weight_filler { |
||
| 2046 | type: "msra" |
||
| 2047 | } |
||
| 2048 | bias_filler { |
||
| 2049 | type: "constant" |
||
| 2050 | } |
||
| 2051 | axis: 1 |
||
| 2052 | } |
||
| 2053 | } |
||
| 2054 | layer { |
||
| 2055 | name: "Dropout9" |
||
| 2056 | type: "Dropout" |
||
| 2057 | bottom: "Convolution20" |
||
| 2058 | top: "Dropout9" |
||
| 2059 | dropout_param { |
||
| 2060 | dropout_ratio: 0.20000000298 |
||
| 2061 | } |
||
| 2062 | } |
||
| 2063 | layer { |
||
| 2064 | name: "Concat_11" |
||
| 2065 | type: "Concat" |
||
| 2066 | bottom: "Conv_down_10" |
||
| 2067 | bottom: "Dropout9" |
||
| 2068 | top: "Concat_11" |
||
| 2069 | concat_param { |
||
| 2070 | axis: 1 |
||
| 2071 | } |
||
| 2072 | } |
||
| 2073 | layer { |
||
| 2074 | name: "BatchNorm23" |
||
| 2075 | type: "BatchNorm" |
||
| 2076 | bottom: "Concat_11" |
||
| 2077 | top: "BatchNorm23" |
||
| 2078 | param { |
||
| 2079 | lr_mult: 0.0 |
||
| 2080 | decay_mult: 0.0 |
||
| 2081 | } |
||
| 2082 | param { |
||
| 2083 | lr_mult: 0.0 |
||
| 2084 | decay_mult: 0.0 |
||
| 2085 | } |
||
| 2086 | param { |
||
| 2087 | lr_mult: 0.0 |
||
| 2088 | decay_mult: 0.0 |
||
| 2089 | } |
||
| 2090 | batch_norm_param { |
||
| 2091 | use_global_stats: false |
||
| 2092 | } |
||
| 2093 | } |
||
| 2094 | layer { |
||
| 2095 | name: "Scale23" |
||
| 2096 | type: "Scale" |
||
| 2097 | bottom: "BatchNorm23" |
||
| 2098 | top: "BatchNorm23" |
||
| 2099 | scale_param { |
||
| 2100 | filler { |
||
| 2101 | value: 1.0 |
||
| 2102 | } |
||
| 2103 | bias_term: true |
||
| 2104 | bias_filler { |
||
| 2105 | value: 0.0 |
||
| 2106 | } |
||
| 2107 | } |
||
| 2108 | } |
||
| 2109 | layer { |
||
| 2110 | name: "ReLU23" |
||
| 2111 | type: "ReLU" |
||
| 2112 | bottom: "BatchNorm23" |
||
| 2113 | top: "BatchNorm23" |
||
| 2114 | } |
||
| 2115 | layer { |
||
| 2116 | name: "Convolution21" |
||
| 2117 | type: "Convolution" |
||
| 2118 | bottom: "BatchNorm23" |
||
| 2119 | top: "Convolution21" |
||
| 2120 | param { |
||
| 2121 | lr_mult: 1.0 |
||
| 2122 | decay_mult: 1.0 |
||
| 2123 | } |
||
| 2124 | convolution_param { |
||
| 2125 | num_output: 64 |
||
| 2126 | bias_term: false |
||
| 2127 | pad: 0 |
||
| 2128 | pad: 0 |
||
| 2129 | pad: 0 |
||
| 2130 | kernel_size: 1 |
||
| 2131 | kernel_size: 1 |
||
| 2132 | kernel_size: 1 |
||
| 2133 | stride: 1 |
||
| 2134 | stride: 1 |
||
| 2135 | stride: 1 |
||
| 2136 | weight_filler { |
||
| 2137 | type: "msra" |
||
| 2138 | } |
||
| 2139 | bias_filler { |
||
| 2140 | type: "constant" |
||
| 2141 | } |
||
| 2142 | axis: 1 |
||
| 2143 | } |
||
| 2144 | } |
||
| 2145 | layer { |
||
| 2146 | name: "BatchNorm24" |
||
| 2147 | type: "BatchNorm" |
||
| 2148 | bottom: "Convolution21" |
||
| 2149 | top: "BatchNorm24" |
||
| 2150 | param { |
||
| 2151 | lr_mult: 0.0 |
||
| 2152 | decay_mult: 0.0 |
||
| 2153 | } |
||
| 2154 | param { |
||
| 2155 | lr_mult: 0.0 |
||
| 2156 | decay_mult: 0.0 |
||
| 2157 | } |
||
| 2158 | param { |
||
| 2159 | lr_mult: 0.0 |
||
| 2160 | decay_mult: 0.0 |
||
| 2161 | } |
||
| 2162 | batch_norm_param { |
||
| 2163 | use_global_stats: false |
||
| 2164 | } |
||
| 2165 | } |
||
| 2166 | layer { |
||
| 2167 | name: "Scale24" |
||
| 2168 | type: "Scale" |
||
| 2169 | bottom: "BatchNorm24" |
||
| 2170 | top: "BatchNorm24" |
||
| 2171 | scale_param { |
||
| 2172 | filler { |
||
| 2173 | value: 1.0 |
||
| 2174 | } |
||
| 2175 | bias_term: true |
||
| 2176 | bias_filler { |
||
| 2177 | value: 0.0 |
||
| 2178 | } |
||
| 2179 | } |
||
| 2180 | } |
||
| 2181 | layer { |
||
| 2182 | name: "ReLU24" |
||
| 2183 | type: "ReLU" |
||
| 2184 | bottom: "BatchNorm24" |
||
| 2185 | top: "BatchNorm24" |
||
| 2186 | } |
||
| 2187 | layer { |
||
| 2188 | name: "Convolution22" |
||
| 2189 | type: "Convolution" |
||
| 2190 | bottom: "BatchNorm24" |
||
| 2191 | top: "Convolution22" |
||
| 2192 | param { |
||
| 2193 | lr_mult: 1.0 |
||
| 2194 | decay_mult: 1.0 |
||
| 2195 | } |
||
| 2196 | convolution_param { |
||
| 2197 | num_output: 16 |
||
| 2198 | bias_term: false |
||
| 2199 | pad: 1 |
||
| 2200 | pad: 1 |
||
| 2201 | pad: 1 |
||
| 2202 | kernel_size: 3 |
||
| 2203 | kernel_size: 3 |
||
| 2204 | kernel_size: 3 |
||
| 2205 | stride: 1 |
||
| 2206 | stride: 1 |
||
| 2207 | stride: 1 |
||
| 2208 | weight_filler { |
||
| 2209 | type: "msra" |
||
| 2210 | } |
||
| 2211 | bias_filler { |
||
| 2212 | type: "constant" |
||
| 2213 | } |
||
| 2214 | axis: 1 |
||
| 2215 | } |
||
| 2216 | } |
||
| 2217 | layer { |
||
| 2218 | name: "Dropout10" |
||
| 2219 | type: "Dropout" |
||
| 2220 | bottom: "Convolution22" |
||
| 2221 | top: "Dropout10" |
||
| 2222 | dropout_param { |
||
| 2223 | dropout_ratio: 0.20000000298 |
||
| 2224 | } |
||
| 2225 | } |
||
| 2226 | layer { |
||
| 2227 | name: "Concat_12" |
||
| 2228 | type: "Concat" |
||
| 2229 | bottom: "Concat_11" |
||
| 2230 | bottom: "Dropout10" |
||
| 2231 | top: "Concat_12" |
||
| 2232 | concat_param { |
||
| 2233 | axis: 1 |
||
| 2234 | } |
||
| 2235 | } |
||
| 2236 | layer { |
||
| 2237 | name: "BatchNorm25" |
||
| 2238 | type: "BatchNorm" |
||
| 2239 | bottom: "Concat_12" |
||
| 2240 | top: "BatchNorm25" |
||
| 2241 | param { |
||
| 2242 | lr_mult: 0.0 |
||
| 2243 | decay_mult: 0.0 |
||
| 2244 | } |
||
| 2245 | param { |
||
| 2246 | lr_mult: 0.0 |
||
| 2247 | decay_mult: 0.0 |
||
| 2248 | } |
||
| 2249 | param { |
||
| 2250 | lr_mult: 0.0 |
||
| 2251 | decay_mult: 0.0 |
||
| 2252 | } |
||
| 2253 | batch_norm_param { |
||
| 2254 | use_global_stats: false |
||
| 2255 | } |
||
| 2256 | } |
||
| 2257 | layer { |
||
| 2258 | name: "Scale25" |
||
| 2259 | type: "Scale" |
||
| 2260 | bottom: "BatchNorm25" |
||
| 2261 | top: "BatchNorm25" |
||
| 2262 | scale_param { |
||
| 2263 | filler { |
||
| 2264 | value: 1.0 |
||
| 2265 | } |
||
| 2266 | bias_term: true |
||
| 2267 | bias_filler { |
||
| 2268 | value: 0.0 |
||
| 2269 | } |
||
| 2270 | } |
||
| 2271 | } |
||
| 2272 | layer { |
||
| 2273 | name: "ReLU25" |
||
| 2274 | type: "ReLU" |
||
| 2275 | bottom: "BatchNorm25" |
||
| 2276 | top: "BatchNorm25" |
||
| 2277 | } |
||
| 2278 | layer { |
||
| 2279 | name: "Convolution23" |
||
| 2280 | type: "Convolution" |
||
| 2281 | bottom: "BatchNorm25" |
||
| 2282 | top: "Convolution23" |
||
| 2283 | param { |
||
| 2284 | lr_mult: 1.0 |
||
| 2285 | decay_mult: 1.0 |
||
| 2286 | } |
||
| 2287 | convolution_param { |
||
| 2288 | num_output: 64 |
||
| 2289 | bias_term: false |
||
| 2290 | pad: 0 |
||
| 2291 | pad: 0 |
||
| 2292 | pad: 0 |
||
| 2293 | kernel_size: 1 |
||
| 2294 | kernel_size: 1 |
||
| 2295 | kernel_size: 1 |
||
| 2296 | stride: 1 |
||
| 2297 | stride: 1 |
||
| 2298 | stride: 1 |
||
| 2299 | weight_filler { |
||
| 2300 | type: "msra" |
||
| 2301 | } |
||
| 2302 | bias_filler { |
||
| 2303 | type: "constant" |
||
| 2304 | } |
||
| 2305 | axis: 1 |
||
| 2306 | } |
||
| 2307 | } |
||
| 2308 | layer { |
||
| 2309 | name: "BatchNorm26" |
||
| 2310 | type: "BatchNorm" |
||
| 2311 | bottom: "Convolution23" |
||
| 2312 | top: "BatchNorm26" |
||
| 2313 | param { |
||
| 2314 | lr_mult: 0.0 |
||
| 2315 | decay_mult: 0.0 |
||
| 2316 | } |
||
| 2317 | param { |
||
| 2318 | lr_mult: 0.0 |
||
| 2319 | decay_mult: 0.0 |
||
| 2320 | } |
||
| 2321 | param { |
||
| 2322 | lr_mult: 0.0 |
||
| 2323 | decay_mult: 0.0 |
||
| 2324 | } |
||
| 2325 | batch_norm_param { |
||
| 2326 | use_global_stats: false |
||
| 2327 | } |
||
| 2328 | } |
||
| 2329 | layer { |
||
| 2330 | name: "Scale26" |
||
| 2331 | type: "Scale" |
||
| 2332 | bottom: "BatchNorm26" |
||
| 2333 | top: "BatchNorm26" |
||
| 2334 | scale_param { |
||
| 2335 | filler { |
||
| 2336 | value: 1.0 |
||
| 2337 | } |
||
| 2338 | bias_term: true |
||
| 2339 | bias_filler { |
||
| 2340 | value: 0.0 |
||
| 2341 | } |
||
| 2342 | } |
||
| 2343 | } |
||
| 2344 | layer { |
||
| 2345 | name: "ReLU26" |
||
| 2346 | type: "ReLU" |
||
| 2347 | bottom: "BatchNorm26" |
||
| 2348 | top: "BatchNorm26" |
||
| 2349 | } |
||
| 2350 | layer { |
||
| 2351 | name: "Convolution24" |
||
| 2352 | type: "Convolution" |
||
| 2353 | bottom: "BatchNorm26" |
||
| 2354 | top: "Convolution24" |
||
| 2355 | param { |
||
| 2356 | lr_mult: 1.0 |
||
| 2357 | decay_mult: 1.0 |
||
| 2358 | } |
||
| 2359 | convolution_param { |
||
| 2360 | num_output: 16 |
||
| 2361 | bias_term: false |
||
| 2362 | pad: 1 |
||
| 2363 | pad: 1 |
||
| 2364 | pad: 1 |
||
| 2365 | kernel_size: 3 |
||
| 2366 | kernel_size: 3 |
||
| 2367 | kernel_size: 3 |
||
| 2368 | stride: 1 |
||
| 2369 | stride: 1 |
||
| 2370 | stride: 1 |
||
| 2371 | weight_filler { |
||
| 2372 | type: "msra" |
||
| 2373 | } |
||
| 2374 | bias_filler { |
||
| 2375 | type: "constant" |
||
| 2376 | } |
||
| 2377 | axis: 1 |
||
| 2378 | } |
||
| 2379 | } |
||
| 2380 | layer { |
||
| 2381 | name: "Dropout11" |
||
| 2382 | type: "Dropout" |
||
| 2383 | bottom: "Convolution24" |
||
| 2384 | top: "Dropout11" |
||
| 2385 | dropout_param { |
||
| 2386 | dropout_ratio: 0.20000000298 |
||
| 2387 | } |
||
| 2388 | } |
||
| 2389 | layer { |
||
| 2390 | name: "Concat_13" |
||
| 2391 | type: "Concat" |
||
| 2392 | bottom: "Concat_12" |
||
| 2393 | bottom: "Dropout11" |
||
| 2394 | top: "Concat_13" |
||
| 2395 | concat_param { |
||
| 2396 | axis: 1 |
||
| 2397 | } |
||
| 2398 | } |
||
| 2399 | layer { |
||
| 2400 | name: "BatchNorm27" |
||
| 2401 | type: "BatchNorm" |
||
| 2402 | bottom: "Concat_13" |
||
| 2403 | top: "BatchNorm27" |
||
| 2404 | param { |
||
| 2405 | lr_mult: 0.0 |
||
| 2406 | decay_mult: 0.0 |
||
| 2407 | } |
||
| 2408 | param { |
||
| 2409 | lr_mult: 0.0 |
||
| 2410 | decay_mult: 0.0 |
||
| 2411 | } |
||
| 2412 | param { |
||
| 2413 | lr_mult: 0.0 |
||
| 2414 | decay_mult: 0.0 |
||
| 2415 | } |
||
| 2416 | batch_norm_param { |
||
| 2417 | use_global_stats: false |
||
| 2418 | } |
||
| 2419 | } |
||
| 2420 | layer { |
||
| 2421 | name: "Scale27" |
||
| 2422 | type: "Scale" |
||
| 2423 | bottom: "BatchNorm27" |
||
| 2424 | top: "BatchNorm27" |
||
| 2425 | scale_param { |
||
| 2426 | filler { |
||
| 2427 | value: 1.0 |
||
| 2428 | } |
||
| 2429 | bias_term: true |
||
| 2430 | bias_filler { |
||
| 2431 | value: 0.0 |
||
| 2432 | } |
||
| 2433 | } |
||
| 2434 | } |
||
| 2435 | layer { |
||
| 2436 | name: "ReLU27" |
||
| 2437 | type: "ReLU" |
||
| 2438 | bottom: "BatchNorm27" |
||
| 2439 | top: "BatchNorm27" |
||
| 2440 | } |
||
| 2441 | layer { |
||
| 2442 | name: "Convolution25" |
||
| 2443 | type: "Convolution" |
||
| 2444 | bottom: "BatchNorm27" |
||
| 2445 | top: "Convolution25" |
||
| 2446 | param { |
||
| 2447 | lr_mult: 1.0 |
||
| 2448 | decay_mult: 1.0 |
||
| 2449 | } |
||
| 2450 | convolution_param { |
||
| 2451 | num_output: 64 |
||
| 2452 | bias_term: false |
||
| 2453 | pad: 0 |
||
| 2454 | pad: 0 |
||
| 2455 | pad: 0 |
||
| 2456 | kernel_size: 1 |
||
| 2457 | kernel_size: 1 |
||
| 2458 | kernel_size: 1 |
||
| 2459 | stride: 1 |
||
| 2460 | stride: 1 |
||
| 2461 | stride: 1 |
||
| 2462 | weight_filler { |
||
| 2463 | type: "msra" |
||
| 2464 | } |
||
| 2465 | bias_filler { |
||
| 2466 | type: "constant" |
||
| 2467 | } |
||
| 2468 | axis: 1 |
||
| 2469 | } |
||
| 2470 | } |
||
| 2471 | layer { |
||
| 2472 | name: "BatchNorm28" |
||
| 2473 | type: "BatchNorm" |
||
| 2474 | bottom: "Convolution25" |
||
| 2475 | top: "BatchNorm28" |
||
| 2476 | param { |
||
| 2477 | lr_mult: 0.0 |
||
| 2478 | decay_mult: 0.0 |
||
| 2479 | } |
||
| 2480 | param { |
||
| 2481 | lr_mult: 0.0 |
||
| 2482 | decay_mult: 0.0 |
||
| 2483 | } |
||
| 2484 | param { |
||
| 2485 | lr_mult: 0.0 |
||
| 2486 | decay_mult: 0.0 |
||
| 2487 | } |
||
| 2488 | batch_norm_param { |
||
| 2489 | use_global_stats: false |
||
| 2490 | } |
||
| 2491 | } |
||
| 2492 | layer { |
||
| 2493 | name: "Scale28" |
||
| 2494 | type: "Scale" |
||
| 2495 | bottom: "BatchNorm28" |
||
| 2496 | top: "BatchNorm28" |
||
| 2497 | scale_param { |
||
| 2498 | filler { |
||
| 2499 | value: 1.0 |
||
| 2500 | } |
||
| 2501 | bias_term: true |
||
| 2502 | bias_filler { |
||
| 2503 | value: 0.0 |
||
| 2504 | } |
||
| 2505 | } |
||
| 2506 | } |
||
| 2507 | layer { |
||
| 2508 | name: "ReLU28" |
||
| 2509 | type: "ReLU" |
||
| 2510 | bottom: "BatchNorm28" |
||
| 2511 | top: "BatchNorm28" |
||
| 2512 | } |
||
| 2513 | layer { |
||
| 2514 | name: "Convolution26" |
||
| 2515 | type: "Convolution" |
||
| 2516 | bottom: "BatchNorm28" |
||
| 2517 | top: "Convolution26" |
||
| 2518 | param { |
||
| 2519 | lr_mult: 1.0 |
||
| 2520 | decay_mult: 1.0 |
||
| 2521 | } |
||
| 2522 | convolution_param { |
||
| 2523 | num_output: 16 |
||
| 2524 | bias_term: false |
||
| 2525 | pad: 1 |
||
| 2526 | pad: 1 |
||
| 2527 | pad: 1 |
||
| 2528 | kernel_size: 3 |
||
| 2529 | kernel_size: 3 |
||
| 2530 | kernel_size: 3 |
||
| 2531 | stride: 1 |
||
| 2532 | stride: 1 |
||
| 2533 | stride: 1 |
||
| 2534 | weight_filler { |
||
| 2535 | type: "msra" |
||
| 2536 | } |
||
| 2537 | bias_filler { |
||
| 2538 | type: "constant" |
||
| 2539 | } |
||
| 2540 | axis: 1 |
||
| 2541 | } |
||
| 2542 | } |
||
| 2543 | layer { |
||
| 2544 | name: "Dropout12" |
||
| 2545 | type: "Dropout" |
||
| 2546 | bottom: "Convolution26" |
||
| 2547 | top: "Dropout12" |
||
| 2548 | dropout_param { |
||
| 2549 | dropout_ratio: 0.20000000298 |
||
| 2550 | } |
||
| 2551 | } |
||
| 2552 | layer { |
||
| 2553 | name: "Concat_14" |
||
| 2554 | type: "Concat" |
||
| 2555 | bottom: "Concat_13" |
||
| 2556 | bottom: "Dropout12" |
||
| 2557 | top: "Concat_14" |
||
| 2558 | concat_param { |
||
| 2559 | axis: 1 |
||
| 2560 | } |
||
| 2561 | } |
||
| 2562 | layer { |
||
| 2563 | name: "Deconvolution_15" |
||
| 2564 | type: "Deconvolution" |
||
| 2565 | bottom: "Concat_14" |
||
| 2566 | top: "Deconvolution_15" |
||
| 2567 | param { |
||
| 2568 | lr_mult: 0.10000000149 |
||
| 2569 | decay_mult: 1.0 |
||
| 2570 | } |
||
| 2571 | convolution_param { |
||
| 2572 | num_output: 4 |
||
| 2573 | bias_term: false |
||
| 2574 | pad: 1 |
||
| 2575 | pad: 1 |
||
| 2576 | pad: 1 |
||
| 2577 | kernel_size: 10 |
||
| 2578 | kernel_size: 10 |
||
| 2579 | kernel_size: 10 |
||
| 2580 | group: 4 |
||
| 2581 | stride: 8 |
||
| 2582 | stride: 8 |
||
| 2583 | stride: 8 |
||
| 2584 | weight_filler { |
||
| 2585 | type: "bilinear_3D" |
||
| 2586 | } |
||
| 2587 | } |
||
| 2588 | } |
||
| 2589 | layer { |
||
| 2590 | name: "BatchNorm29" |
||
| 2591 | type: "BatchNorm" |
||
| 2592 | bottom: "Concat_14" |
||
| 2593 | top: "BatchNorm29" |
||
| 2594 | param { |
||
| 2595 | lr_mult: 0.0 |
||
| 2596 | decay_mult: 0.0 |
||
| 2597 | } |
||
| 2598 | param { |
||
| 2599 | lr_mult: 0.0 |
||
| 2600 | decay_mult: 0.0 |
||
| 2601 | } |
||
| 2602 | param { |
||
| 2603 | lr_mult: 0.0 |
||
| 2604 | decay_mult: 0.0 |
||
| 2605 | } |
||
| 2606 | batch_norm_param { |
||
| 2607 | use_global_stats: false |
||
| 2608 | } |
||
| 2609 | } |
||
| 2610 | layer { |
||
| 2611 | name: "Scale29" |
||
| 2612 | type: "Scale" |
||
| 2613 | bottom: "BatchNorm29" |
||
| 2614 | top: "BatchNorm29" |
||
| 2615 | scale_param { |
||
| 2616 | filler { |
||
| 2617 | value: 1.0 |
||
| 2618 | } |
||
| 2619 | bias_term: true |
||
| 2620 | bias_filler { |
||
| 2621 | value: 0.0 |
||
| 2622 | } |
||
| 2623 | } |
||
| 2624 | } |
||
| 2625 | layer { |
||
| 2626 | name: "ReLU29" |
||
| 2627 | type: "ReLU" |
||
| 2628 | bottom: "BatchNorm29" |
||
| 2629 | top: "BatchNorm29" |
||
| 2630 | } |
||
| 2631 | layer { |
||
| 2632 | name: "Convolution27" |
||
| 2633 | type: "Convolution" |
||
| 2634 | bottom: "BatchNorm29" |
||
| 2635 | top: "Convolution27" |
||
| 2636 | param { |
||
| 2637 | lr_mult: 1.0 |
||
| 2638 | decay_mult: 1.0 |
||
| 2639 | } |
||
| 2640 | convolution_param { |
||
| 2641 | num_output: 60 |
||
| 2642 | bias_term: false |
||
| 2643 | pad: 0 |
||
| 2644 | pad: 0 |
||
| 2645 | pad: 0 |
||
| 2646 | kernel_size: 1 |
||
| 2647 | kernel_size: 1 |
||
| 2648 | kernel_size: 1 |
||
| 2649 | stride: 1 |
||
| 2650 | stride: 1 |
||
| 2651 | stride: 1 |
||
| 2652 | weight_filler { |
||
| 2653 | type: "msra" |
||
| 2654 | } |
||
| 2655 | bias_filler { |
||
| 2656 | type: "constant" |
||
| 2657 | } |
||
| 2658 | axis: 1 |
||
| 2659 | } |
||
| 2660 | } |
||
| 2661 | layer { |
||
| 2662 | name: "BatchNorm30" |
||
| 2663 | type: "BatchNorm" |
||
| 2664 | bottom: "Convolution27" |
||
| 2665 | top: "BatchNorm30" |
||
| 2666 | param { |
||
| 2667 | lr_mult: 0.0 |
||
| 2668 | decay_mult: 0.0 |
||
| 2669 | } |
||
| 2670 | param { |
||
| 2671 | lr_mult: 0.0 |
||
| 2672 | decay_mult: 0.0 |
||
| 2673 | } |
||
| 2674 | param { |
||
| 2675 | lr_mult: 0.0 |
||
| 2676 | decay_mult: 0.0 |
||
| 2677 | } |
||
| 2678 | batch_norm_param { |
||
| 2679 | use_global_stats: false |
||
| 2680 | } |
||
| 2681 | } |
||
| 2682 | layer { |
||
| 2683 | name: "Scale30" |
||
| 2684 | type: "Scale" |
||
| 2685 | bottom: "BatchNorm30" |
||
| 2686 | top: "BatchNorm30" |
||
| 2687 | scale_param { |
||
| 2688 | filler { |
||
| 2689 | value: 1.0 |
||
| 2690 | } |
||
| 2691 | bias_term: true |
||
| 2692 | bias_filler { |
||
| 2693 | value: 0.0 |
||
| 2694 | } |
||
| 2695 | } |
||
| 2696 | } |
||
| 2697 | layer { |
||
| 2698 | name: "ReLU30" |
||
| 2699 | type: "ReLU" |
||
| 2700 | bottom: "BatchNorm30" |
||
| 2701 | top: "BatchNorm30" |
||
| 2702 | } |
||
| 2703 | layer { |
||
| 2704 | name: "Conv_down_15" |
||
| 2705 | type: "Convolution" |
||
| 2706 | bottom: "BatchNorm30" |
||
| 2707 | top: "Conv_down_15" |
||
| 2708 | param { |
||
| 2709 | lr_mult: 1.0 |
||
| 2710 | decay_mult: 1.0 |
||
| 2711 | } |
||
| 2712 | convolution_param { |
||
| 2713 | num_output: 60 |
||
| 2714 | bias_term: false |
||
| 2715 | pad: 0 |
||
| 2716 | pad: 0 |
||
| 2717 | pad: 0 |
||
| 2718 | kernel_size: 2 |
||
| 2719 | kernel_size: 2 |
||
| 2720 | kernel_size: 2 |
||
| 2721 | stride: 2 |
||
| 2722 | weight_filler { |
||
| 2723 | type: "msra" |
||
| 2724 | } |
||
| 2725 | bias_filler { |
||
| 2726 | type: "constant" |
||
| 2727 | } |
||
| 2728 | axis: 1 |
||
| 2729 | } |
||
| 2730 | } |
||
| 2731 | layer { |
||
| 2732 | name: "BatchNorm31" |
||
| 2733 | type: "BatchNorm" |
||
| 2734 | bottom: "Conv_down_15" |
||
| 2735 | top: "BatchNorm31" |
||
| 2736 | param { |
||
| 2737 | lr_mult: 0.0 |
||
| 2738 | decay_mult: 0.0 |
||
| 2739 | } |
||
| 2740 | param { |
||
| 2741 | lr_mult: 0.0 |
||
| 2742 | decay_mult: 0.0 |
||
| 2743 | } |
||
| 2744 | param { |
||
| 2745 | lr_mult: 0.0 |
||
| 2746 | decay_mult: 0.0 |
||
| 2747 | } |
||
| 2748 | batch_norm_param { |
||
| 2749 | use_global_stats: false |
||
| 2750 | } |
||
| 2751 | } |
||
| 2752 | layer { |
||
| 2753 | name: "Scale31" |
||
| 2754 | type: "Scale" |
||
| 2755 | bottom: "BatchNorm31" |
||
| 2756 | top: "BatchNorm31" |
||
| 2757 | scale_param { |
||
| 2758 | filler { |
||
| 2759 | value: 1.0 |
||
| 2760 | } |
||
| 2761 | bias_term: true |
||
| 2762 | bias_filler { |
||
| 2763 | value: 0.0 |
||
| 2764 | } |
||
| 2765 | } |
||
| 2766 | } |
||
| 2767 | layer { |
||
| 2768 | name: "ReLU31" |
||
| 2769 | type: "ReLU" |
||
| 2770 | bottom: "BatchNorm31" |
||
| 2771 | top: "BatchNorm31" |
||
| 2772 | } |
||
| 2773 | layer { |
||
| 2774 | name: "Convolution28" |
||
| 2775 | type: "Convolution" |
||
| 2776 | bottom: "BatchNorm31" |
||
| 2777 | top: "Convolution28" |
||
| 2778 | param { |
||
| 2779 | lr_mult: 1.0 |
||
| 2780 | decay_mult: 1.0 |
||
| 2781 | } |
||
| 2782 | convolution_param { |
||
| 2783 | num_output: 64 |
||
| 2784 | bias_term: false |
||
| 2785 | pad: 0 |
||
| 2786 | pad: 0 |
||
| 2787 | pad: 0 |
||
| 2788 | kernel_size: 1 |
||
| 2789 | kernel_size: 1 |
||
| 2790 | kernel_size: 1 |
||
| 2791 | stride: 1 |
||
| 2792 | stride: 1 |
||
| 2793 | stride: 1 |
||
| 2794 | weight_filler { |
||
| 2795 | type: "msra" |
||
| 2796 | } |
||
| 2797 | bias_filler { |
||
| 2798 | type: "constant" |
||
| 2799 | } |
||
| 2800 | axis: 1 |
||
| 2801 | } |
||
| 2802 | } |
||
| 2803 | layer { |
||
| 2804 | name: "BatchNorm32" |
||
| 2805 | type: "BatchNorm" |
||
| 2806 | bottom: "Convolution28" |
||
| 2807 | top: "BatchNorm32" |
||
| 2808 | param { |
||
| 2809 | lr_mult: 0.0 |
||
| 2810 | decay_mult: 0.0 |
||
| 2811 | } |
||
| 2812 | param { |
||
| 2813 | lr_mult: 0.0 |
||
| 2814 | decay_mult: 0.0 |
||
| 2815 | } |
||
| 2816 | param { |
||
| 2817 | lr_mult: 0.0 |
||
| 2818 | decay_mult: 0.0 |
||
| 2819 | } |
||
| 2820 | batch_norm_param { |
||
| 2821 | use_global_stats: false |
||
| 2822 | } |
||
| 2823 | } |
||
| 2824 | layer { |
||
| 2825 | name: "Scale32" |
||
| 2826 | type: "Scale" |
||
| 2827 | bottom: "BatchNorm32" |
||
| 2828 | top: "BatchNorm32" |
||
| 2829 | scale_param { |
||
| 2830 | filler { |
||
| 2831 | value: 1.0 |
||
| 2832 | } |
||
| 2833 | bias_term: true |
||
| 2834 | bias_filler { |
||
| 2835 | value: 0.0 |
||
| 2836 | } |
||
| 2837 | } |
||
| 2838 | } |
||
| 2839 | layer { |
||
| 2840 | name: "ReLU32" |
||
| 2841 | type: "ReLU" |
||
| 2842 | bottom: "BatchNorm32" |
||
| 2843 | top: "BatchNorm32" |
||
| 2844 | } |
||
| 2845 | layer { |
||
| 2846 | name: "Convolution29" |
||
| 2847 | type: "Convolution" |
||
| 2848 | bottom: "BatchNorm32" |
||
| 2849 | top: "Convolution29" |
||
| 2850 | param { |
||
| 2851 | lr_mult: 1.0 |
||
| 2852 | decay_mult: 1.0 |
||
| 2853 | } |
||
| 2854 | convolution_param { |
||
| 2855 | num_output: 16 |
||
| 2856 | bias_term: false |
||
| 2857 | pad: 1 |
||
| 2858 | pad: 1 |
||
| 2859 | pad: 1 |
||
| 2860 | kernel_size: 3 |
||
| 2861 | kernel_size: 3 |
||
| 2862 | kernel_size: 3 |
||
| 2863 | stride: 1 |
||
| 2864 | stride: 1 |
||
| 2865 | stride: 1 |
||
| 2866 | weight_filler { |
||
| 2867 | type: "msra" |
||
| 2868 | } |
||
| 2869 | bias_filler { |
||
| 2870 | type: "constant" |
||
| 2871 | } |
||
| 2872 | axis: 1 |
||
| 2873 | } |
||
| 2874 | } |
||
| 2875 | layer { |
||
| 2876 | name: "Dropout13" |
||
| 2877 | type: "Dropout" |
||
| 2878 | bottom: "Convolution29" |
||
| 2879 | top: "Dropout13" |
||
| 2880 | dropout_param { |
||
| 2881 | dropout_ratio: 0.20000000298 |
||
| 2882 | } |
||
| 2883 | } |
||
| 2884 | layer { |
||
| 2885 | name: "Concat_19" |
||
| 2886 | type: "Concat" |
||
| 2887 | bottom: "Conv_down_15" |
||
| 2888 | bottom: "Dropout13" |
||
| 2889 | top: "Concat_19" |
||
| 2890 | concat_param { |
||
| 2891 | axis: 1 |
||
| 2892 | } |
||
| 2893 | } |
||
| 2894 | layer { |
||
| 2895 | name: "BatchNorm33" |
||
| 2896 | type: "BatchNorm" |
||
| 2897 | bottom: "Concat_19" |
||
| 2898 | top: "BatchNorm33" |
||
| 2899 | param { |
||
| 2900 | lr_mult: 0.0 |
||
| 2901 | decay_mult: 0.0 |
||
| 2902 | } |
||
| 2903 | param { |
||
| 2904 | lr_mult: 0.0 |
||
| 2905 | decay_mult: 0.0 |
||
| 2906 | } |
||
| 2907 | param { |
||
| 2908 | lr_mult: 0.0 |
||
| 2909 | decay_mult: 0.0 |
||
| 2910 | } |
||
| 2911 | batch_norm_param { |
||
| 2912 | use_global_stats: false |
||
| 2913 | } |
||
| 2914 | } |
||
| 2915 | layer { |
||
| 2916 | name: "Scale33" |
||
| 2917 | type: "Scale" |
||
| 2918 | bottom: "BatchNorm33" |
||
| 2919 | top: "BatchNorm33" |
||
| 2920 | scale_param { |
||
| 2921 | filler { |
||
| 2922 | value: 1.0 |
||
| 2923 | } |
||
| 2924 | bias_term: true |
||
| 2925 | bias_filler { |
||
| 2926 | value: 0.0 |
||
| 2927 | } |
||
| 2928 | } |
||
| 2929 | } |
||
| 2930 | layer { |
||
| 2931 | name: "ReLU33" |
||
| 2932 | type: "ReLU" |
||
| 2933 | bottom: "BatchNorm33" |
||
| 2934 | top: "BatchNorm33" |
||
| 2935 | } |
||
| 2936 | layer { |
||
| 2937 | name: "Convolution30" |
||
| 2938 | type: "Convolution" |
||
| 2939 | bottom: "BatchNorm33" |
||
| 2940 | top: "Convolution30" |
||
| 2941 | param { |
||
| 2942 | lr_mult: 1.0 |
||
| 2943 | decay_mult: 1.0 |
||
| 2944 | } |
||
| 2945 | convolution_param { |
||
| 2946 | num_output: 64 |
||
| 2947 | bias_term: false |
||
| 2948 | pad: 0 |
||
| 2949 | pad: 0 |
||
| 2950 | pad: 0 |
||
| 2951 | kernel_size: 1 |
||
| 2952 | kernel_size: 1 |
||
| 2953 | kernel_size: 1 |
||
| 2954 | stride: 1 |
||
| 2955 | stride: 1 |
||
| 2956 | stride: 1 |
||
| 2957 | weight_filler { |
||
| 2958 | type: "msra" |
||
| 2959 | } |
||
| 2960 | bias_filler { |
||
| 2961 | type: "constant" |
||
| 2962 | } |
||
| 2963 | axis: 1 |
||
| 2964 | } |
||
| 2965 | } |
||
| 2966 | layer { |
||
| 2967 | name: "BatchNorm34" |
||
| 2968 | type: "BatchNorm" |
||
| 2969 | bottom: "Convolution30" |
||
| 2970 | top: "BatchNorm34" |
||
| 2971 | param { |
||
| 2972 | lr_mult: 0.0 |
||
| 2973 | decay_mult: 0.0 |
||
| 2974 | } |
||
| 2975 | param { |
||
| 2976 | lr_mult: 0.0 |
||
| 2977 | decay_mult: 0.0 |
||
| 2978 | } |
||
| 2979 | param { |
||
| 2980 | lr_mult: 0.0 |
||
| 2981 | decay_mult: 0.0 |
||
| 2982 | } |
||
| 2983 | batch_norm_param { |
||
| 2984 | use_global_stats: false |
||
| 2985 | } |
||
| 2986 | } |
||
| 2987 | layer { |
||
| 2988 | name: "Scale34" |
||
| 2989 | type: "Scale" |
||
| 2990 | bottom: "BatchNorm34" |
||
| 2991 | top: "BatchNorm34" |
||
| 2992 | scale_param { |
||
| 2993 | filler { |
||
| 2994 | value: 1.0 |
||
| 2995 | } |
||
| 2996 | bias_term: true |
||
| 2997 | bias_filler { |
||
| 2998 | value: 0.0 |
||
| 2999 | } |
||
| 3000 | } |
||
| 3001 | } |
||
| 3002 | layer { |
||
| 3003 | name: "ReLU34" |
||
| 3004 | type: "ReLU" |
||
| 3005 | bottom: "BatchNorm34" |
||
| 3006 | top: "BatchNorm34" |
||
| 3007 | } |
||
| 3008 | layer { |
||
| 3009 | name: "Convolution31" |
||
| 3010 | type: "Convolution" |
||
| 3011 | bottom: "BatchNorm34" |
||
| 3012 | top: "Convolution31" |
||
| 3013 | param { |
||
| 3014 | lr_mult: 1.0 |
||
| 3015 | decay_mult: 1.0 |
||
| 3016 | } |
||
| 3017 | convolution_param { |
||
| 3018 | num_output: 16 |
||
| 3019 | bias_term: false |
||
| 3020 | pad: 1 |
||
| 3021 | pad: 1 |
||
| 3022 | pad: 1 |
||
| 3023 | kernel_size: 3 |
||
| 3024 | kernel_size: 3 |
||
| 3025 | kernel_size: 3 |
||
| 3026 | stride: 1 |
||
| 3027 | stride: 1 |
||
| 3028 | stride: 1 |
||
| 3029 | weight_filler { |
||
| 3030 | type: "msra" |
||
| 3031 | } |
||
| 3032 | bias_filler { |
||
| 3033 | type: "constant" |
||
| 3034 | } |
||
| 3035 | axis: 1 |
||
| 3036 | } |
||
| 3037 | } |
||
| 3038 | layer { |
||
| 3039 | name: "Dropout14" |
||
| 3040 | type: "Dropout" |
||
| 3041 | bottom: "Convolution31" |
||
| 3042 | top: "Dropout14" |
||
| 3043 | dropout_param { |
||
| 3044 | dropout_ratio: 0.20000000298 |
||
| 3045 | } |
||
| 3046 | } |
||
| 3047 | layer { |
||
| 3048 | name: "Concat_20" |
||
| 3049 | type: "Concat" |
||
| 3050 | bottom: "Concat_19" |
||
| 3051 | bottom: "Dropout14" |
||
| 3052 | top: "Concat_20" |
||
| 3053 | concat_param { |
||
| 3054 | axis: 1 |
||
| 3055 | } |
||
| 3056 | } |
||
| 3057 | layer { |
||
| 3058 | name: "BatchNorm35" |
||
| 3059 | type: "BatchNorm" |
||
| 3060 | bottom: "Concat_20" |
||
| 3061 | top: "BatchNorm35" |
||
| 3062 | param { |
||
| 3063 | lr_mult: 0.0 |
||
| 3064 | decay_mult: 0.0 |
||
| 3065 | } |
||
| 3066 | param { |
||
| 3067 | lr_mult: 0.0 |
||
| 3068 | decay_mult: 0.0 |
||
| 3069 | } |
||
| 3070 | param { |
||
| 3071 | lr_mult: 0.0 |
||
| 3072 | decay_mult: 0.0 |
||
| 3073 | } |
||
| 3074 | batch_norm_param { |
||
| 3075 | use_global_stats: false |
||
| 3076 | } |
||
| 3077 | } |
||
| 3078 | layer { |
||
| 3079 | name: "Scale35" |
||
| 3080 | type: "Scale" |
||
| 3081 | bottom: "BatchNorm35" |
||
| 3082 | top: "BatchNorm35" |
||
| 3083 | scale_param { |
||
| 3084 | filler { |
||
| 3085 | value: 1.0 |
||
| 3086 | } |
||
| 3087 | bias_term: true |
||
| 3088 | bias_filler { |
||
| 3089 | value: 0.0 |
||
| 3090 | } |
||
| 3091 | } |
||
| 3092 | } |
||
| 3093 | layer { |
||
| 3094 | name: "ReLU35" |
||
| 3095 | type: "ReLU" |
||
| 3096 | bottom: "BatchNorm35" |
||
| 3097 | top: "BatchNorm35" |
||
| 3098 | } |
||
| 3099 | layer { |
||
| 3100 | name: "Convolution32" |
||
| 3101 | type: "Convolution" |
||
| 3102 | bottom: "BatchNorm35" |
||
| 3103 | top: "Convolution32" |
||
| 3104 | param { |
||
| 3105 | lr_mult: 1.0 |
||
| 3106 | decay_mult: 1.0 |
||
| 3107 | } |
||
| 3108 | convolution_param { |
||
| 3109 | num_output: 64 |
||
| 3110 | bias_term: false |
||
| 3111 | pad: 0 |
||
| 3112 | pad: 0 |
||
| 3113 | pad: 0 |
||
| 3114 | kernel_size: 1 |
||
| 3115 | kernel_size: 1 |
||
| 3116 | kernel_size: 1 |
||
| 3117 | stride: 1 |
||
| 3118 | stride: 1 |
||
| 3119 | stride: 1 |
||
| 3120 | weight_filler { |
||
| 3121 | type: "msra" |
||
| 3122 | } |
||
| 3123 | bias_filler { |
||
| 3124 | type: "constant" |
||
| 3125 | } |
||
| 3126 | axis: 1 |
||
| 3127 | } |
||
| 3128 | } |
||
| 3129 | layer { |
||
| 3130 | name: "BatchNorm36" |
||
| 3131 | type: "BatchNorm" |
||
| 3132 | bottom: "Convolution32" |
||
| 3133 | top: "BatchNorm36" |
||
| 3134 | param { |
||
| 3135 | lr_mult: 0.0 |
||
| 3136 | decay_mult: 0.0 |
||
| 3137 | } |
||
| 3138 | param { |
||
| 3139 | lr_mult: 0.0 |
||
| 3140 | decay_mult: 0.0 |
||
| 3141 | } |
||
| 3142 | param { |
||
| 3143 | lr_mult: 0.0 |
||
| 3144 | decay_mult: 0.0 |
||
| 3145 | } |
||
| 3146 | batch_norm_param { |
||
| 3147 | use_global_stats: false |
||
| 3148 | } |
||
| 3149 | } |
||
| 3150 | layer { |
||
| 3151 | name: "Scale36" |
||
| 3152 | type: "Scale" |
||
| 3153 | bottom: "BatchNorm36" |
||
| 3154 | top: "BatchNorm36" |
||
| 3155 | scale_param { |
||
| 3156 | filler { |
||
| 3157 | value: 1.0 |
||
| 3158 | } |
||
| 3159 | bias_term: true |
||
| 3160 | bias_filler { |
||
| 3161 | value: 0.0 |
||
| 3162 | } |
||
| 3163 | } |
||
| 3164 | } |
||
| 3165 | layer { |
||
| 3166 | name: "ReLU36" |
||
| 3167 | type: "ReLU" |
||
| 3168 | bottom: "BatchNorm36" |
||
| 3169 | top: "BatchNorm36" |
||
| 3170 | } |
||
| 3171 | layer { |
||
| 3172 | name: "Convolution33" |
||
| 3173 | type: "Convolution" |
||
| 3174 | bottom: "BatchNorm36" |
||
| 3175 | top: "Convolution33" |
||
| 3176 | param { |
||
| 3177 | lr_mult: 1.0 |
||
| 3178 | decay_mult: 1.0 |
||
| 3179 | } |
||
| 3180 | convolution_param { |
||
| 3181 | num_output: 16 |
||
| 3182 | bias_term: false |
||
| 3183 | pad: 1 |
||
| 3184 | pad: 1 |
||
| 3185 | pad: 1 |
||
| 3186 | kernel_size: 3 |
||
| 3187 | kernel_size: 3 |
||
| 3188 | kernel_size: 3 |
||
| 3189 | stride: 1 |
||
| 3190 | stride: 1 |
||
| 3191 | stride: 1 |
||
| 3192 | weight_filler { |
||
| 3193 | type: "msra" |
||
| 3194 | } |
||
| 3195 | bias_filler { |
||
| 3196 | type: "constant" |
||
| 3197 | } |
||
| 3198 | axis: 1 |
||
| 3199 | } |
||
| 3200 | } |
||
| 3201 | layer { |
||
| 3202 | name: "Dropout15" |
||
| 3203 | type: "Dropout" |
||
| 3204 | bottom: "Convolution33" |
||
| 3205 | top: "Dropout15" |
||
| 3206 | dropout_param { |
||
| 3207 | dropout_ratio: 0.20000000298 |
||
| 3208 | } |
||
| 3209 | } |
||
| 3210 | layer { |
||
| 3211 | name: "Concat_21" |
||
| 3212 | type: "Concat" |
||
| 3213 | bottom: "Concat_20" |
||
| 3214 | bottom: "Dropout15" |
||
| 3215 | top: "Concat_21" |
||
| 3216 | concat_param { |
||
| 3217 | axis: 1 |
||
| 3218 | } |
||
| 3219 | } |
||
| 3220 | layer { |
||
| 3221 | name: "BatchNorm37" |
||
| 3222 | type: "BatchNorm" |
||
| 3223 | bottom: "Concat_21" |
||
| 3224 | top: "BatchNorm37" |
||
| 3225 | param { |
||
| 3226 | lr_mult: 0.0 |
||
| 3227 | decay_mult: 0.0 |
||
| 3228 | } |
||
| 3229 | param { |
||
| 3230 | lr_mult: 0.0 |
||
| 3231 | decay_mult: 0.0 |
||
| 3232 | } |
||
| 3233 | param { |
||
| 3234 | lr_mult: 0.0 |
||
| 3235 | decay_mult: 0.0 |
||
| 3236 | } |
||
| 3237 | batch_norm_param { |
||
| 3238 | use_global_stats: false |
||
| 3239 | } |
||
| 3240 | } |
||
| 3241 | layer { |
||
| 3242 | name: "Scale37" |
||
| 3243 | type: "Scale" |
||
| 3244 | bottom: "BatchNorm37" |
||
| 3245 | top: "BatchNorm37" |
||
| 3246 | scale_param { |
||
| 3247 | filler { |
||
| 3248 | value: 1.0 |
||
| 3249 | } |
||
| 3250 | bias_term: true |
||
| 3251 | bias_filler { |
||
| 3252 | value: 0.0 |
||
| 3253 | } |
||
| 3254 | } |
||
| 3255 | } |
||
| 3256 | layer { |
||
| 3257 | name: "ReLU37" |
||
| 3258 | type: "ReLU" |
||
| 3259 | bottom: "BatchNorm37" |
||
| 3260 | top: "BatchNorm37" |
||
| 3261 | } |
||
| 3262 | layer { |
||
| 3263 | name: "Convolution34" |
||
| 3264 | type: "Convolution" |
||
| 3265 | bottom: "BatchNorm37" |
||
| 3266 | top: "Convolution34" |
||
| 3267 | param { |
||
| 3268 | lr_mult: 1.0 |
||
| 3269 | decay_mult: 1.0 |
||
| 3270 | } |
||
| 3271 | convolution_param { |
||
| 3272 | num_output: 64 |
||
| 3273 | bias_term: false |
||
| 3274 | pad: 0 |
||
| 3275 | pad: 0 |
||
| 3276 | pad: 0 |
||
| 3277 | kernel_size: 1 |
||
| 3278 | kernel_size: 1 |
||
| 3279 | kernel_size: 1 |
||
| 3280 | stride: 1 |
||
| 3281 | stride: 1 |
||
| 3282 | stride: 1 |
||
| 3283 | weight_filler { |
||
| 3284 | type: "msra" |
||
| 3285 | } |
||
| 3286 | bias_filler { |
||
| 3287 | type: "constant" |
||
| 3288 | } |
||
| 3289 | axis: 1 |
||
| 3290 | } |
||
| 3291 | } |
||
| 3292 | layer { |
||
| 3293 | name: "BatchNorm38" |
||
| 3294 | type: "BatchNorm" |
||
| 3295 | bottom: "Convolution34" |
||
| 3296 | top: "BatchNorm38" |
||
| 3297 | param { |
||
| 3298 | lr_mult: 0.0 |
||
| 3299 | decay_mult: 0.0 |
||
| 3300 | } |
||
| 3301 | param { |
||
| 3302 | lr_mult: 0.0 |
||
| 3303 | decay_mult: 0.0 |
||
| 3304 | } |
||
| 3305 | param { |
||
| 3306 | lr_mult: 0.0 |
||
| 3307 | decay_mult: 0.0 |
||
| 3308 | } |
||
| 3309 | batch_norm_param { |
||
| 3310 | use_global_stats: false |
||
| 3311 | } |
||
| 3312 | } |
||
| 3313 | layer { |
||
| 3314 | name: "Scale38" |
||
| 3315 | type: "Scale" |
||
| 3316 | bottom: "BatchNorm38" |
||
| 3317 | top: "BatchNorm38" |
||
| 3318 | scale_param { |
||
| 3319 | filler { |
||
| 3320 | value: 1.0 |
||
| 3321 | } |
||
| 3322 | bias_term: true |
||
| 3323 | bias_filler { |
||
| 3324 | value: 0.0 |
||
| 3325 | } |
||
| 3326 | } |
||
| 3327 | } |
||
| 3328 | layer { |
||
| 3329 | name: "ReLU38" |
||
| 3330 | type: "ReLU" |
||
| 3331 | bottom: "BatchNorm38" |
||
| 3332 | top: "BatchNorm38" |
||
| 3333 | } |
||
| 3334 | layer { |
||
| 3335 | name: "Convolution35" |
||
| 3336 | type: "Convolution" |
||
| 3337 | bottom: "BatchNorm38" |
||
| 3338 | top: "Convolution35" |
||
| 3339 | param { |
||
| 3340 | lr_mult: 1.0 |
||
| 3341 | decay_mult: 1.0 |
||
| 3342 | } |
||
| 3343 | convolution_param { |
||
| 3344 | num_output: 16 |
||
| 3345 | bias_term: false |
||
| 3346 | pad: 1 |
||
| 3347 | pad: 1 |
||
| 3348 | pad: 1 |
||
| 3349 | kernel_size: 3 |
||
| 3350 | kernel_size: 3 |
||
| 3351 | kernel_size: 3 |
||
| 3352 | stride: 1 |
||
| 3353 | stride: 1 |
||
| 3354 | stride: 1 |
||
| 3355 | weight_filler { |
||
| 3356 | type: "msra" |
||
| 3357 | } |
||
| 3358 | bias_filler { |
||
| 3359 | type: "constant" |
||
| 3360 | } |
||
| 3361 | axis: 1 |
||
| 3362 | } |
||
| 3363 | } |
||
| 3364 | layer { |
||
| 3365 | name: "Dropout16" |
||
| 3366 | type: "Dropout" |
||
| 3367 | bottom: "Convolution35" |
||
| 3368 | top: "Dropout16" |
||
| 3369 | dropout_param { |
||
| 3370 | dropout_ratio: 0.20000000298 |
||
| 3371 | } |
||
| 3372 | } |
||
| 3373 | layer { |
||
| 3374 | name: "Concat_22" |
||
| 3375 | type: "Concat" |
||
| 3376 | bottom: "Concat_21" |
||
| 3377 | bottom: "Dropout16" |
||
| 3378 | top: "Concat_22" |
||
| 3379 | concat_param { |
||
| 3380 | axis: 1 |
||
| 3381 | } |
||
| 3382 | } |
||
| 3383 | layer { |
||
| 3384 | name: "Deconvolution_20" |
||
| 3385 | type: "Deconvolution" |
||
| 3386 | bottom: "Concat_22" |
||
| 3387 | top: "Deconvolution_20" |
||
| 3388 | param { |
||
| 3389 | lr_mult: 0.10000000149 |
||
| 3390 | decay_mult: 1.0 |
||
| 3391 | } |
||
| 3392 | convolution_param { |
||
| 3393 | num_output: 4 |
||
| 3394 | bias_term: false |
||
| 3395 | pad: 1 |
||
| 3396 | pad: 1 |
||
| 3397 | pad: 1 |
||
| 3398 | kernel_size: 18 |
||
| 3399 | kernel_size: 18 |
||
| 3400 | kernel_size: 18 |
||
| 3401 | group: 4 |
||
| 3402 | stride: 16 |
||
| 3403 | stride: 16 |
||
| 3404 | stride: 16 |
||
| 3405 | weight_filler { |
||
| 3406 | type: "bilinear_3D" |
||
| 3407 | } |
||
| 3408 | } |
||
| 3409 | } |
||
| 3410 | layer { |
||
| 3411 | name: "Concat1" |
||
| 3412 | type: "Concat" |
||
| 3413 | bottom: "conv1c" |
||
| 3414 | bottom: "Deconvolution_5" |
||
| 3415 | bottom: "Deconvolution_10" |
||
| 3416 | bottom: "Deconvolution_15" |
||
| 3417 | bottom: "Deconvolution_20" |
||
| 3418 | top: "Concat1" |
||
| 3419 | concat_param { |
||
| 3420 | axis: 1 |
||
| 3421 | } |
||
| 3422 | } |
||
| 3423 | layer { |
||
| 3424 | name: "bnorm_concat" |
||
| 3425 | type: "BatchNorm" |
||
| 3426 | bottom: "Concat1" |
||
| 3427 | top: "bnorm_concat" |
||
| 3428 | param { |
||
| 3429 | lr_mult: 0.0 |
||
| 3430 | decay_mult: 0.0 |
||
| 3431 | } |
||
| 3432 | param { |
||
| 3433 | lr_mult: 0.0 |
||
| 3434 | decay_mult: 0.0 |
||
| 3435 | } |
||
| 3436 | param { |
||
| 3437 | lr_mult: 0.0 |
||
| 3438 | decay_mult: 0.0 |
||
| 3439 | } |
||
| 3440 | batch_norm_param { |
||
| 3441 | use_global_stats: false |
||
| 3442 | } |
||
| 3443 | } |
||
| 3444 | layer { |
||
| 3445 | name: "scale_concat" |
||
| 3446 | type: "Scale" |
||
| 3447 | bottom: "bnorm_concat" |
||
| 3448 | top: "bnorm_concat" |
||
| 3449 | scale_param { |
||
| 3450 | filler { |
||
| 3451 | value: 1.0 |
||
| 3452 | } |
||
| 3453 | bias_term: true |
||
| 3454 | bias_filler { |
||
| 3455 | value: 0.0 |
||
| 3456 | } |
||
| 3457 | } |
||
| 3458 | } |
||
| 3459 | layer { |
||
| 3460 | name: "relu_concat" |
||
| 3461 | type: "ReLU" |
||
| 3462 | bottom: "bnorm_concat" |
||
| 3463 | top: "bnorm_concat" |
||
| 3464 | } |
||
| 3465 | layer { |
||
| 3466 | name: "Convolution36" |
||
| 3467 | type: "Convolution" |
||
| 3468 | bottom: "bnorm_concat" |
||
| 3469 | top: "Convolution36" |
||
| 3470 | param { |
||
| 3471 | lr_mult: 1.0 |
||
| 3472 | decay_mult: 1.0 |
||
| 3473 | } |
||
| 3474 | param { |
||
| 3475 | lr_mult: 2.0 |
||
| 3476 | decay_mult: 0.0 |
||
| 3477 | } |
||
| 3478 | convolution_param { |
||
| 3479 | num_output: 4 |
||
| 3480 | pad: 0 |
||
| 3481 | pad: 0 |
||
| 3482 | pad: 0 |
||
| 3483 | kernel_size: 1 |
||
| 3484 | kernel_size: 1 |
||
| 3485 | kernel_size: 1 |
||
| 3486 | weight_filler { |
||
| 3487 | type: "msra" |
||
| 3488 | } |
||
| 3489 | axis: 1 |
||
| 3490 | } |
||
| 3491 | } |
||
| 3492 | layer { |
||
| 3493 | name: "loss" |
||
| 3494 | type: "SoftmaxWithLoss" |
||
| 3495 | bottom: "Convolution36" |
||
| 3496 | bottom: "label" |
||
| 3497 | top: "loss" |
||
| 3498 | } |
||
| 3499 |