457 lines
6.0 KiB
Plaintext
457 lines
6.0 KiB
Plaintext
name: "ONet"
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input: "data"
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input_dim: 1
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input_dim: 3
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input_dim: 48
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input_dim: 48
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##################################
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layer {
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name: "conv1"
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type: "Convolution"
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bottom: "data"
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top: "conv1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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convolution_param {
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num_output: 32
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kernel_size: 3
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stride: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "relu1_1"
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type: "ReLU"
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bottom: "conv1"
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top: "conv1_1"
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}
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layer {
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name: "scale1_1"
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bottom: "conv1"
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top: "conv1_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "ReLU1_2"
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type: "ReLU"
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bottom: "conv1_2"
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top: "conv1_2"
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}
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layer {
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name: "scale1_2"
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bottom: "conv1_2"
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top: "conv1_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "eltwise-sum1"
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type: "Eltwise"
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bottom: "conv1_1"
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bottom: "conv1_2"
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top: "conv1_3"
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eltwise_param { operation: SUM }
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}
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layer {
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name: "pool1"
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type: "Pooling"
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bottom: "conv1_3"
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top: "pool1"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "conv2"
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type: "Convolution"
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bottom: "pool1"
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top: "conv2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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convolution_param {
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num_output: 64
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kernel_size: 3
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stride: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "relu2_1"
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type: "ReLU"
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bottom: "conv2"
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top: "conv2_1"
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}
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layer {
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name: "scale2_1"
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bottom: "conv2"
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top: "conv2_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "ReLU2_2"
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type: "ReLU"
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bottom: "conv2_2"
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top: "conv2_2"
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}
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layer {
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name: "scale2_2"
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bottom: "conv2_2"
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top: "conv2_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "eltwise-sum2"
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type: "Eltwise"
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bottom: "conv2_1"
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bottom: "conv2_2"
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top: "conv2_3"
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eltwise_param { operation: SUM }
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}
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layer {
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name: "pool2"
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type: "Pooling"
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bottom: "conv2_3"
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top: "pool2"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "conv3"
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type: "Convolution"
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bottom: "pool2"
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top: "conv3"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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convolution_param {
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num_output: 64
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kernel_size: 3
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "relu3_1"
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type: "ReLU"
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bottom: "conv3"
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top: "conv3_1"
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}
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layer {
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name: "scale3_1"
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bottom: "conv3"
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top: "conv3_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "ReLU3_2"
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type: "ReLU"
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bottom: "conv3_2"
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top: "conv3_2"
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}
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layer {
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name: "scale3_2"
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bottom: "conv3_2"
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top: "conv3_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "eltwise-sum3"
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type: "Eltwise"
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bottom: "conv3_1"
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bottom: "conv3_2"
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top: "conv3_3"
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eltwise_param { operation: SUM }
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}
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layer {
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name: "pool3"
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type: "Pooling"
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bottom: "conv3_3"
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top: "pool3"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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}
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}
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layer {
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name: "conv4"
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type: "Convolution"
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bottom: "pool3"
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top: "conv4"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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convolution_param {
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num_output: 128
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kernel_size: 2
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "relu4"
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type: "ReLU"
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bottom: "conv4"
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top: "conv4_1"
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}
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layer {
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name: "scale4_1"
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bottom: "conv4"
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top: "conv4_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "ReLU4_2"
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type: "ReLU"
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bottom: "conv4_2"
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top: "conv4_2"
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}
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layer {
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name: "scale4_2"
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bottom: "conv4_2"
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top: "conv4_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "eltwise-sum4"
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type: "Eltwise"
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bottom: "conv4_1"
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bottom: "conv4_2"
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top: "conv4_3"
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eltwise_param { operation: SUM }
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}
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layer {
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name: "conv5"
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type: "InnerProduct"
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bottom: "conv4_3"
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top: "conv5"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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inner_product_param {
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#kernel_size: 3
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num_output: 256
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "relu5_1"
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type: "ReLU"
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bottom: "conv5"
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top: "conv5_1"
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}
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layer {
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name: "scale5_1"
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bottom: "conv5"
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top: "conv5_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "ReLU5_2"
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type: "ReLU"
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bottom: "conv5_2"
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top: "conv5_2"
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}
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layer {
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name: "scale5_2"
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bottom: "conv5_2"
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top: "conv5_2"
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type: "Scale"
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scale_param {
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axis: 1
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bias_term:false
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}
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}
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layer {
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name: "eltwise-sum5"
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type: "Eltwise"
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bottom: "conv5_1"
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bottom: "conv5_2"
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top: "conv5_3"
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eltwise_param { operation: SUM }
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}
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layer {
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name: "conv6-1"
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type: "InnerProduct"
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bottom: "conv5_3"
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top: "conv6-1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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inner_product_param {
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#kernel_size: 1
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num_output: 2
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "conv6-2"
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type: "InnerProduct"
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bottom: "conv5_3"
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top: "conv6-2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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inner_product_param {
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#kernel_size: 1
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num_output: 4
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "conv6-3"
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type: "InnerProduct"
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bottom: "conv5_3"
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top: "conv6-3"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 1
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}
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inner_product_param {
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#kernel_size: 1
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num_output: 10
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "prob1"
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type: "Softmax"
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bottom: "conv6-1"
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top: "prob1"
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} |