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- input:"data"
- input_dim:1
- input_dim:3
- input_dim:1200
- input_dim:1200
- input:"dataL"
- input_dim:1
- input_dim:4
- input_dim:1200
- input_dim:1200
- input:"dataD"
- input_dim:1
- input_dim:4
- input_dim:1200
- input_dim:1200
- layer {
- name: "conv_gA1"
- type: "Convolution"
- bottom: "dataL"
- top: "conv_gA1"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gA1"
- type: "ReLU"
- bottom: "conv_gA1"
- top: "conv_gA1"
- }
- layer {
- name: "conv_gA2"
- type: "Convolution"
- bottom: "conv_gA1"
- top: "conv_gA2"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gA2"
- type: "ReLU"
- bottom: "conv_gA2"
- top: "conv_gA2"
- }
- layer {
- name: "conv_gA3"
- type: "Convolution"
- bottom: "conv_gA2"
- top: "conv_gA3"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gA3"
- type: "ReLU"
- bottom: "conv_gA3"
- top: "conv_gA3"
- }
- layer {
- name: "conv_gA4"
- type: "Convolution"
- bottom: "conv_gA3"
- top: "conv_gA4"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gA4"
- type: "ReLU"
- bottom: "conv_gA4"
- top: "conv_gA4"
- }
- layer {
- name: "conv_gA5"
- type: "Convolution"
- bottom: "conv_gA4"
- top: "conv_gA5"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- ##############################################
- layer {
- name: "conv_gB1"
- type: "Convolution"
- bottom: "dataD"
- top: "conv_gB1"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gB1"
- type: "ReLU"
- bottom: "conv_gB1"
- top: "conv_gB1"
- }
- layer {
- name: "conv_gB2"
- type: "Convolution"
- bottom: "conv_gB1"
- top: "conv_gB2"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gB2"
- type: "ReLU"
- bottom: "conv_gB2"
- top: "conv_gB2"
- }
- layer {
- name: "conv_gB3"
- type: "Convolution"
- bottom: "conv_gB2"
- top: "conv_gB3"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gB3"
- type: "ReLU"
- bottom: "conv_gB3"
- top: "conv_gB3"
- }
- layer {
- name: "conv_gB4"
- type: "Convolution"
- bottom: "conv_gB3"
- top: "conv_gB4"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_gB4"
- type: "ReLU"
- bottom: "conv_gB4"
- top: "conv_gB4"
- }
- layer {
- name: "conv_gB5"
- type: "Convolution"
- bottom: "conv_gB4"
- top: "conv_gB5"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- ##############################################
- layer {
- name: "Concat"
- type: "Concat"
- bottom: "conv_gA5"
- bottom: "conv_gB5"
- top: "Concat"
- }
- layer {
- name: "conv_g6"
- type: "Convolution"
- bottom: "Concat"
- top: "conv_g6"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv_g7"
- type: "Convolution"
- bottom: "conv_g6"
- top: "conv_g7"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_g7"
- type: "ReLU"
- bottom: "conv_g7"
- top: "conv_g7"
- }
- layer {
- name: "conv_g8"
- type: "Convolution"
- bottom: "conv_g7"
- top: "conv_g8"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_g8"
- type: "ReLU"
- bottom: "conv_g8"
- top: "conv_g8"
- }
- layer {
- name: "conv_g9"
- type: "Convolution"
- bottom: "conv_g8"
- top: "conv_g9"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_g9"
- type: "ReLU"
- bottom: "conv_g9"
- top: "conv_g9"
- }
- layer {
- name: "conv_g10"
- type: "Convolution"
- bottom: "conv_g9"
- top: "conv_g10"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_g10"
- type: "ReLU"
- bottom: "conv_g10"
- top: "conv_g10"
- }
- layer {
- name: "conv_g11"
- type: "Convolution"
- bottom: "conv_g10"
- top: "conv_g11"
- convolution_param {
- num_output: 64
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "relu_g11"
- type: "ReLU"
- bottom: "conv_g11"
- top: "conv_g11"
- }
- layer {
- name: "conv_g12"
- type: "Convolution"
- bottom: "conv_g11"
- top: "conv_g12"
- convolution_param {
- num_output: 3
- kernel_size: 3
- stride: 1
- pad: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "sum"
- type: "Eltwise"
- bottom: "data"
- bottom: "conv_g12"
- top: "sum"
- }
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