mirror of
https://git.0x0.st/mia/0x0.git
synced 2024-12-22 08:11:07 -05:00
3488 lines
59 KiB
Text
3488 lines
59 KiB
Text
name: "ResNet_50_1by2_nsfw"
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layer {
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name: "data"
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type: "Input"
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top: "data"
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input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } }
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}
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layer {
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name: "conv_1"
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type: "Convolution"
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bottom: "data"
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top: "conv_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: 0
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}
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convolution_param {
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num_output: 64
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pad: 3
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kernel_size: 7
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stride: 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: "bn_1"
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type: "BatchNorm"
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bottom: "conv_1"
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top: "conv_1"
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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batch_norm_param {
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use_global_stats: true
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}
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}
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layer {
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name: "scale_1"
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type: "Scale"
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bottom: "conv_1"
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top: "conv_1"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "relu_1"
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type: "ReLU"
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bottom: "conv_1"
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top: "conv_1"
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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: "conv_1"
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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: "conv_stage0_block0_proj_shortcut"
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type: "Convolution"
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bottom: "pool1"
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top: "conv_stage0_block0_proj_shortcut"
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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: 0
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}
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convolution_param {
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num_output: 128
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pad: 0
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kernel_size: 1
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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: "bn_stage0_block0_proj_shortcut"
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type: "BatchNorm"
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bottom: "conv_stage0_block0_proj_shortcut"
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top: "conv_stage0_block0_proj_shortcut"
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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batch_norm_param {
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use_global_stats: true
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}
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}
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layer {
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name: "scale_stage0_block0_proj_shortcut"
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type: "Scale"
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bottom: "conv_stage0_block0_proj_shortcut"
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top: "conv_stage0_block0_proj_shortcut"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "conv_stage0_block0_branch2a"
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type: "Convolution"
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bottom: "pool1"
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top: "conv_stage0_block0_branch2a"
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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: 0
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}
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convolution_param {
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num_output: 32
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pad: 0
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kernel_size: 1
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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: "bn_stage0_block0_branch2a"
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type: "BatchNorm"
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bottom: "conv_stage0_block0_branch2a"
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top: "conv_stage0_block0_branch2a"
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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batch_norm_param {
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use_global_stats: true
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}
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}
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layer {
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name: "scale_stage0_block0_branch2a"
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type: "Scale"
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bottom: "conv_stage0_block0_branch2a"
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top: "conv_stage0_block0_branch2a"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "relu_stage0_block0_branch2a"
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type: "ReLU"
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bottom: "conv_stage0_block0_branch2a"
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top: "conv_stage0_block0_branch2a"
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}
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layer {
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name: "conv_stage0_block0_branch2b"
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type: "Convolution"
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bottom: "conv_stage0_block0_branch2a"
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top: "conv_stage0_block0_branch2b"
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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: 0
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}
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convolution_param {
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num_output: 32
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pad: 1
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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: "bn_stage0_block0_branch2b"
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type: "BatchNorm"
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bottom: "conv_stage0_block0_branch2b"
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top: "conv_stage0_block0_branch2b"
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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batch_norm_param {
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use_global_stats: true
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}
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}
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layer {
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name: "scale_stage0_block0_branch2b"
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type: "Scale"
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bottom: "conv_stage0_block0_branch2b"
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top: "conv_stage0_block0_branch2b"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "relu_stage0_block0_branch2b"
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type: "ReLU"
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bottom: "conv_stage0_block0_branch2b"
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top: "conv_stage0_block0_branch2b"
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}
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layer {
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name: "conv_stage0_block0_branch2c"
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type: "Convolution"
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bottom: "conv_stage0_block0_branch2b"
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top: "conv_stage0_block0_branch2c"
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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: 0
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}
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convolution_param {
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num_output: 128
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pad: 0
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kernel_size: 1
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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: "bn_stage0_block0_branch2c"
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type: "BatchNorm"
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bottom: "conv_stage0_block0_branch2c"
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top: "conv_stage0_block0_branch2c"
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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batch_norm_param {
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use_global_stats: true
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}
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}
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layer {
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name: "scale_stage0_block0_branch2c"
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type: "Scale"
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bottom: "conv_stage0_block0_branch2c"
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top: "conv_stage0_block0_branch2c"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "eltwise_stage0_block0"
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type: "Eltwise"
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bottom: "conv_stage0_block0_proj_shortcut"
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bottom: "conv_stage0_block0_branch2c"
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top: "eltwise_stage0_block0"
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}
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layer {
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name: "relu_stage0_block0"
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type: "ReLU"
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bottom: "eltwise_stage0_block0"
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top: "eltwise_stage0_block0"
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}
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layer {
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name: "conv_stage0_block1_branch2a"
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type: "Convolution"
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bottom: "eltwise_stage0_block0"
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top: "conv_stage0_block1_branch2a"
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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: 0
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}
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convolution_param {
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num_output: 32
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pad: 0
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kernel_size: 1
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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: "bn_stage0_block1_branch2a"
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type: "BatchNorm"
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bottom: "conv_stage0_block1_branch2a"
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top: "conv_stage0_block1_branch2a"
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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batch_norm_param {
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use_global_stats: true
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}
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}
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layer {
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name: "scale_stage0_block1_branch2a"
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type: "Scale"
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bottom: "conv_stage0_block1_branch2a"
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top: "conv_stage0_block1_branch2a"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "relu_stage0_block1_branch2a"
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type: "ReLU"
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bottom: "conv_stage0_block1_branch2a"
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top: "conv_stage0_block1_branch2a"
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}
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layer {
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name: "conv_stage0_block1_branch2b"
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type: "Convolution"
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bottom: "conv_stage0_block1_branch2a"
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top: "conv_stage0_block1_branch2b"
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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: 0
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}
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convolution_param {
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num_output: 32
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pad: 1
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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: "bn_stage0_block1_branch2b"
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type: "BatchNorm"
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bottom: "conv_stage0_block1_branch2b"
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top: "conv_stage0_block1_branch2b"
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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param {
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lr_mult: 0
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decay_mult: 0
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}
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batch_norm_param {
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use_global_stats: true
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}
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}
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layer {
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name: "scale_stage0_block1_branch2b"
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type: "Scale"
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bottom: "conv_stage0_block1_branch2b"
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top: "conv_stage0_block1_branch2b"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "relu_stage0_block1_branch2b"
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type: "ReLU"
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bottom: "conv_stage0_block1_branch2b"
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top: "conv_stage0_block1_branch2b"
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}
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layer {
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name: "conv_stage0_block1_branch2c"
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type: "Convolution"
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bottom: "conv_stage0_block1_branch2b"
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top: "conv_stage0_block1_branch2c"
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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: 0
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}
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convolution_param {
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num_output: 128
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pad: 0
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kernel_size: 1
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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: "bn_stage0_block1_branch2c"
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type: "BatchNorm"
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bottom: "conv_stage0_block1_branch2c"
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top: "conv_stage0_block1_branch2c"
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param {
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|
lr_mult: 0
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|
decay_mult: 0
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|
}
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|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
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|
}
|
|
param {
|
|
lr_mult: 0
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|
decay_mult: 0
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}
|
|
batch_norm_param {
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|
use_global_stats: true
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}
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}
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|
layer {
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name: "scale_stage0_block1_branch2c"
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type: "Scale"
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bottom: "conv_stage0_block1_branch2c"
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top: "conv_stage0_block1_branch2c"
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scale_param {
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bias_term: true
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}
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}
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layer {
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name: "eltwise_stage0_block1"
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type: "Eltwise"
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|
bottom: "eltwise_stage0_block0"
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bottom: "conv_stage0_block1_branch2c"
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top: "eltwise_stage0_block1"
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}
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layer {
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name: "relu_stage0_block1"
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type: "ReLU"
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bottom: "eltwise_stage0_block1"
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top: "eltwise_stage0_block1"
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}
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|
layer {
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name: "conv_stage0_block2_branch2a"
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type: "Convolution"
|
|
bottom: "eltwise_stage0_block1"
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|
top: "conv_stage0_block2_branch2a"
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|
param {
|
|
lr_mult: 1
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|
decay_mult: 1
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|
}
|
|
param {
|
|
lr_mult: 2
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|
decay_mult: 0
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|
}
|
|
convolution_param {
|
|
num_output: 32
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|
pad: 0
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|
kernel_size: 1
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|
stride: 1
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|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
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|
}
|
|
}
|
|
}
|
|
layer {
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|
name: "bn_stage0_block2_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage0_block2_branch2a"
|
|
top: "conv_stage0_block2_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
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|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
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|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage0_block2_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage0_block2_branch2a"
|
|
top: "conv_stage0_block2_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage0_block2_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage0_block2_branch2a"
|
|
top: "conv_stage0_block2_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage0_block2_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage0_block2_branch2a"
|
|
top: "conv_stage0_block2_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 32
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage0_block2_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage0_block2_branch2b"
|
|
top: "conv_stage0_block2_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage0_block2_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage0_block2_branch2b"
|
|
top: "conv_stage0_block2_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage0_block2_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage0_block2_branch2b"
|
|
top: "conv_stage0_block2_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage0_block2_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage0_block2_branch2b"
|
|
top: "conv_stage0_block2_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage0_block2_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage0_block2_branch2c"
|
|
top: "conv_stage0_block2_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage0_block2_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage0_block2_branch2c"
|
|
top: "conv_stage0_block2_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage0_block2"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage0_block1"
|
|
bottom: "conv_stage0_block2_branch2c"
|
|
top: "eltwise_stage0_block2"
|
|
}
|
|
layer {
|
|
name: "relu_stage0_block2"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage0_block2"
|
|
top: "eltwise_stage0_block2"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block0_proj_shortcut"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage0_block2"
|
|
top: "conv_stage1_block0_proj_shortcut"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 2
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block0_proj_shortcut"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block0_proj_shortcut"
|
|
top: "conv_stage1_block0_proj_shortcut"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block0_proj_shortcut"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block0_proj_shortcut"
|
|
top: "conv_stage1_block0_proj_shortcut"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block0_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage0_block2"
|
|
top: "conv_stage1_block0_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 2
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block0_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block0_branch2a"
|
|
top: "conv_stage1_block0_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block0_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block0_branch2a"
|
|
top: "conv_stage1_block0_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block0_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block0_branch2a"
|
|
top: "conv_stage1_block0_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block0_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block0_branch2a"
|
|
top: "conv_stage1_block0_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block0_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block0_branch2b"
|
|
top: "conv_stage1_block0_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block0_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block0_branch2b"
|
|
top: "conv_stage1_block0_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block0_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block0_branch2b"
|
|
top: "conv_stage1_block0_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block0_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block0_branch2b"
|
|
top: "conv_stage1_block0_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block0_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block0_branch2c"
|
|
top: "conv_stage1_block0_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block0_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block0_branch2c"
|
|
top: "conv_stage1_block0_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage1_block0"
|
|
type: "Eltwise"
|
|
bottom: "conv_stage1_block0_proj_shortcut"
|
|
bottom: "conv_stage1_block0_branch2c"
|
|
top: "eltwise_stage1_block0"
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block0"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage1_block0"
|
|
top: "eltwise_stage1_block0"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block1_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage1_block0"
|
|
top: "conv_stage1_block1_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block1_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block1_branch2a"
|
|
top: "conv_stage1_block1_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block1_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block1_branch2a"
|
|
top: "conv_stage1_block1_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block1_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block1_branch2a"
|
|
top: "conv_stage1_block1_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block1_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block1_branch2a"
|
|
top: "conv_stage1_block1_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block1_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block1_branch2b"
|
|
top: "conv_stage1_block1_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block1_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block1_branch2b"
|
|
top: "conv_stage1_block1_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block1_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block1_branch2b"
|
|
top: "conv_stage1_block1_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block1_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block1_branch2b"
|
|
top: "conv_stage1_block1_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block1_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block1_branch2c"
|
|
top: "conv_stage1_block1_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block1_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block1_branch2c"
|
|
top: "conv_stage1_block1_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage1_block1"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage1_block0"
|
|
bottom: "conv_stage1_block1_branch2c"
|
|
top: "eltwise_stage1_block1"
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block1"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage1_block1"
|
|
top: "eltwise_stage1_block1"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block2_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage1_block1"
|
|
top: "conv_stage1_block2_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block2_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block2_branch2a"
|
|
top: "conv_stage1_block2_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block2_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block2_branch2a"
|
|
top: "conv_stage1_block2_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block2_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block2_branch2a"
|
|
top: "conv_stage1_block2_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block2_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block2_branch2a"
|
|
top: "conv_stage1_block2_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block2_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block2_branch2b"
|
|
top: "conv_stage1_block2_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block2_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block2_branch2b"
|
|
top: "conv_stage1_block2_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block2_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block2_branch2b"
|
|
top: "conv_stage1_block2_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block2_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block2_branch2b"
|
|
top: "conv_stage1_block2_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block2_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block2_branch2c"
|
|
top: "conv_stage1_block2_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block2_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block2_branch2c"
|
|
top: "conv_stage1_block2_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage1_block2"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage1_block1"
|
|
bottom: "conv_stage1_block2_branch2c"
|
|
top: "eltwise_stage1_block2"
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block2"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage1_block2"
|
|
top: "eltwise_stage1_block2"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block3_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage1_block2"
|
|
top: "conv_stage1_block3_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block3_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block3_branch2a"
|
|
top: "conv_stage1_block3_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block3_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block3_branch2a"
|
|
top: "conv_stage1_block3_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block3_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block3_branch2a"
|
|
top: "conv_stage1_block3_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block3_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block3_branch2a"
|
|
top: "conv_stage1_block3_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block3_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block3_branch2b"
|
|
top: "conv_stage1_block3_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block3_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block3_branch2b"
|
|
top: "conv_stage1_block3_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block3_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage1_block3_branch2b"
|
|
top: "conv_stage1_block3_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage1_block3_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage1_block3_branch2b"
|
|
top: "conv_stage1_block3_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage1_block3_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage1_block3_branch2c"
|
|
top: "conv_stage1_block3_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage1_block3_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage1_block3_branch2c"
|
|
top: "conv_stage1_block3_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage1_block3"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage1_block2"
|
|
bottom: "conv_stage1_block3_branch2c"
|
|
top: "eltwise_stage1_block3"
|
|
}
|
|
layer {
|
|
name: "relu_stage1_block3"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage1_block3"
|
|
top: "eltwise_stage1_block3"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block0_proj_shortcut"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage1_block3"
|
|
top: "conv_stage2_block0_proj_shortcut"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 512
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 2
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block0_proj_shortcut"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block0_proj_shortcut"
|
|
top: "conv_stage2_block0_proj_shortcut"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block0_proj_shortcut"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block0_proj_shortcut"
|
|
top: "conv_stage2_block0_proj_shortcut"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block0_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage1_block3"
|
|
top: "conv_stage2_block0_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 2
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block0_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block0_branch2a"
|
|
top: "conv_stage2_block0_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block0_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block0_branch2a"
|
|
top: "conv_stage2_block0_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block0_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block0_branch2a"
|
|
top: "conv_stage2_block0_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block0_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block0_branch2a"
|
|
top: "conv_stage2_block0_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block0_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block0_branch2b"
|
|
top: "conv_stage2_block0_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block0_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block0_branch2b"
|
|
top: "conv_stage2_block0_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block0_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block0_branch2b"
|
|
top: "conv_stage2_block0_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block0_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block0_branch2b"
|
|
top: "conv_stage2_block0_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 512
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block0_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block0_branch2c"
|
|
top: "conv_stage2_block0_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block0_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block0_branch2c"
|
|
top: "conv_stage2_block0_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage2_block0"
|
|
type: "Eltwise"
|
|
bottom: "conv_stage2_block0_proj_shortcut"
|
|
bottom: "conv_stage2_block0_branch2c"
|
|
top: "eltwise_stage2_block0"
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block0"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage2_block0"
|
|
top: "eltwise_stage2_block0"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block1_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage2_block0"
|
|
top: "conv_stage2_block1_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block1_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block1_branch2a"
|
|
top: "conv_stage2_block1_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block1_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block1_branch2a"
|
|
top: "conv_stage2_block1_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block1_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block1_branch2a"
|
|
top: "conv_stage2_block1_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block1_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block1_branch2a"
|
|
top: "conv_stage2_block1_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block1_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block1_branch2b"
|
|
top: "conv_stage2_block1_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block1_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block1_branch2b"
|
|
top: "conv_stage2_block1_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block1_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block1_branch2b"
|
|
top: "conv_stage2_block1_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block1_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block1_branch2b"
|
|
top: "conv_stage2_block1_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 512
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block1_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block1_branch2c"
|
|
top: "conv_stage2_block1_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block1_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block1_branch2c"
|
|
top: "conv_stage2_block1_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage2_block1"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage2_block0"
|
|
bottom: "conv_stage2_block1_branch2c"
|
|
top: "eltwise_stage2_block1"
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block1"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage2_block1"
|
|
top: "eltwise_stage2_block1"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block2_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage2_block1"
|
|
top: "conv_stage2_block2_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block2_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block2_branch2a"
|
|
top: "conv_stage2_block2_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block2_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block2_branch2a"
|
|
top: "conv_stage2_block2_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block2_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block2_branch2a"
|
|
top: "conv_stage2_block2_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block2_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block2_branch2a"
|
|
top: "conv_stage2_block2_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block2_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block2_branch2b"
|
|
top: "conv_stage2_block2_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block2_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block2_branch2b"
|
|
top: "conv_stage2_block2_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block2_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block2_branch2b"
|
|
top: "conv_stage2_block2_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block2_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block2_branch2b"
|
|
top: "conv_stage2_block2_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 512
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block2_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block2_branch2c"
|
|
top: "conv_stage2_block2_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block2_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block2_branch2c"
|
|
top: "conv_stage2_block2_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage2_block2"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage2_block1"
|
|
bottom: "conv_stage2_block2_branch2c"
|
|
top: "eltwise_stage2_block2"
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block2"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage2_block2"
|
|
top: "eltwise_stage2_block2"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block3_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage2_block2"
|
|
top: "conv_stage2_block3_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block3_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block3_branch2a"
|
|
top: "conv_stage2_block3_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block3_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block3_branch2a"
|
|
top: "conv_stage2_block3_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block3_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block3_branch2a"
|
|
top: "conv_stage2_block3_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block3_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block3_branch2a"
|
|
top: "conv_stage2_block3_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block3_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block3_branch2b"
|
|
top: "conv_stage2_block3_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block3_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block3_branch2b"
|
|
top: "conv_stage2_block3_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block3_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block3_branch2b"
|
|
top: "conv_stage2_block3_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block3_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block3_branch2b"
|
|
top: "conv_stage2_block3_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 512
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block3_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block3_branch2c"
|
|
top: "conv_stage2_block3_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block3_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block3_branch2c"
|
|
top: "conv_stage2_block3_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage2_block3"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage2_block2"
|
|
bottom: "conv_stage2_block3_branch2c"
|
|
top: "eltwise_stage2_block3"
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block3"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage2_block3"
|
|
top: "eltwise_stage2_block3"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block4_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage2_block3"
|
|
top: "conv_stage2_block4_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block4_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block4_branch2a"
|
|
top: "conv_stage2_block4_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block4_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block4_branch2a"
|
|
top: "conv_stage2_block4_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block4_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block4_branch2a"
|
|
top: "conv_stage2_block4_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block4_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block4_branch2a"
|
|
top: "conv_stage2_block4_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block4_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block4_branch2b"
|
|
top: "conv_stage2_block4_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block4_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block4_branch2b"
|
|
top: "conv_stage2_block4_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block4_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block4_branch2b"
|
|
top: "conv_stage2_block4_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block4_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block4_branch2b"
|
|
top: "conv_stage2_block4_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 512
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block4_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block4_branch2c"
|
|
top: "conv_stage2_block4_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block4_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block4_branch2c"
|
|
top: "conv_stage2_block4_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage2_block4"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage2_block3"
|
|
bottom: "conv_stage2_block4_branch2c"
|
|
top: "eltwise_stage2_block4"
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block4"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage2_block4"
|
|
top: "eltwise_stage2_block4"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block5_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage2_block4"
|
|
top: "conv_stage2_block5_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block5_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block5_branch2a"
|
|
top: "conv_stage2_block5_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block5_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block5_branch2a"
|
|
top: "conv_stage2_block5_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block5_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block5_branch2a"
|
|
top: "conv_stage2_block5_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block5_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block5_branch2a"
|
|
top: "conv_stage2_block5_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block5_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block5_branch2b"
|
|
top: "conv_stage2_block5_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block5_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block5_branch2b"
|
|
top: "conv_stage2_block5_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block5_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage2_block5_branch2b"
|
|
top: "conv_stage2_block5_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage2_block5_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage2_block5_branch2b"
|
|
top: "conv_stage2_block5_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 512
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage2_block5_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage2_block5_branch2c"
|
|
top: "conv_stage2_block5_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage2_block5_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage2_block5_branch2c"
|
|
top: "conv_stage2_block5_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage2_block5"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage2_block4"
|
|
bottom: "conv_stage2_block5_branch2c"
|
|
top: "eltwise_stage2_block5"
|
|
}
|
|
layer {
|
|
name: "relu_stage2_block5"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage2_block5"
|
|
top: "eltwise_stage2_block5"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block0_proj_shortcut"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage2_block5"
|
|
top: "conv_stage3_block0_proj_shortcut"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 1024
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 2
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block0_proj_shortcut"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block0_proj_shortcut"
|
|
top: "conv_stage3_block0_proj_shortcut"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block0_proj_shortcut"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block0_proj_shortcut"
|
|
top: "conv_stage3_block0_proj_shortcut"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block0_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage2_block5"
|
|
top: "conv_stage3_block0_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 2
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block0_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block0_branch2a"
|
|
top: "conv_stage3_block0_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block0_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block0_branch2a"
|
|
top: "conv_stage3_block0_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block0_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage3_block0_branch2a"
|
|
top: "conv_stage3_block0_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block0_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage3_block0_branch2a"
|
|
top: "conv_stage3_block0_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block0_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block0_branch2b"
|
|
top: "conv_stage3_block0_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block0_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block0_branch2b"
|
|
top: "conv_stage3_block0_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block0_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage3_block0_branch2b"
|
|
top: "conv_stage3_block0_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block0_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage3_block0_branch2b"
|
|
top: "conv_stage3_block0_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 1024
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block0_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block0_branch2c"
|
|
top: "conv_stage3_block0_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block0_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block0_branch2c"
|
|
top: "conv_stage3_block0_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage3_block0"
|
|
type: "Eltwise"
|
|
bottom: "conv_stage3_block0_proj_shortcut"
|
|
bottom: "conv_stage3_block0_branch2c"
|
|
top: "eltwise_stage3_block0"
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block0"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage3_block0"
|
|
top: "eltwise_stage3_block0"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block1_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage3_block0"
|
|
top: "conv_stage3_block1_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block1_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block1_branch2a"
|
|
top: "conv_stage3_block1_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block1_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block1_branch2a"
|
|
top: "conv_stage3_block1_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block1_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage3_block1_branch2a"
|
|
top: "conv_stage3_block1_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block1_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage3_block1_branch2a"
|
|
top: "conv_stage3_block1_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block1_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block1_branch2b"
|
|
top: "conv_stage3_block1_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block1_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block1_branch2b"
|
|
top: "conv_stage3_block1_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block1_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage3_block1_branch2b"
|
|
top: "conv_stage3_block1_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block1_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage3_block1_branch2b"
|
|
top: "conv_stage3_block1_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 1024
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block1_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block1_branch2c"
|
|
top: "conv_stage3_block1_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block1_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block1_branch2c"
|
|
top: "conv_stage3_block1_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage3_block1"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage3_block0"
|
|
bottom: "conv_stage3_block1_branch2c"
|
|
top: "eltwise_stage3_block1"
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block1"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage3_block1"
|
|
top: "eltwise_stage3_block1"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block2_branch2a"
|
|
type: "Convolution"
|
|
bottom: "eltwise_stage3_block1"
|
|
top: "conv_stage3_block2_branch2a"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block2_branch2a"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block2_branch2a"
|
|
top: "conv_stage3_block2_branch2a"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block2_branch2a"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block2_branch2a"
|
|
top: "conv_stage3_block2_branch2a"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block2_branch2a"
|
|
type: "ReLU"
|
|
bottom: "conv_stage3_block2_branch2a"
|
|
top: "conv_stage3_block2_branch2a"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block2_branch2b"
|
|
type: "Convolution"
|
|
bottom: "conv_stage3_block2_branch2a"
|
|
top: "conv_stage3_block2_branch2b"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 1
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block2_branch2b"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block2_branch2b"
|
|
top: "conv_stage3_block2_branch2b"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block2_branch2b"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block2_branch2b"
|
|
top: "conv_stage3_block2_branch2b"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block2_branch2b"
|
|
type: "ReLU"
|
|
bottom: "conv_stage3_block2_branch2b"
|
|
top: "conv_stage3_block2_branch2b"
|
|
}
|
|
layer {
|
|
name: "conv_stage3_block2_branch2c"
|
|
type: "Convolution"
|
|
bottom: "conv_stage3_block2_branch2b"
|
|
top: "conv_stage3_block2_branch2c"
|
|
param {
|
|
lr_mult: 1
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 2
|
|
decay_mult: 0
|
|
}
|
|
convolution_param {
|
|
num_output: 1024
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "bn_stage3_block2_branch2c"
|
|
type: "BatchNorm"
|
|
bottom: "conv_stage3_block2_branch2c"
|
|
top: "conv_stage3_block2_branch2c"
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
param {
|
|
lr_mult: 0
|
|
decay_mult: 0
|
|
}
|
|
batch_norm_param {
|
|
use_global_stats: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "scale_stage3_block2_branch2c"
|
|
type: "Scale"
|
|
bottom: "conv_stage3_block2_branch2c"
|
|
top: "conv_stage3_block2_branch2c"
|
|
scale_param {
|
|
bias_term: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "eltwise_stage3_block2"
|
|
type: "Eltwise"
|
|
bottom: "eltwise_stage3_block1"
|
|
bottom: "conv_stage3_block2_branch2c"
|
|
top: "eltwise_stage3_block2"
|
|
}
|
|
layer {
|
|
name: "relu_stage3_block2"
|
|
type: "ReLU"
|
|
bottom: "eltwise_stage3_block2"
|
|
top: "eltwise_stage3_block2"
|
|
}
|
|
layer {
|
|
name: "pool"
|
|
type: "Pooling"
|
|
bottom: "eltwise_stage3_block2"
|
|
top: "pool"
|
|
pooling_param {
|
|
pool: AVE
|
|
kernel_size: 7
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "fc_nsfw"
|
|
type: "InnerProduct"
|
|
bottom: "pool"
|
|
top: "fc_nsfw"
|
|
param {
|
|
lr_mult: 5
|
|
decay_mult: 1
|
|
}
|
|
param {
|
|
lr_mult: 10
|
|
decay_mult: 0
|
|
}
|
|
inner_product_param{
|
|
num_output: 2
|
|
weight_filler {
|
|
type: "xavier"
|
|
std: 0.01
|
|
}
|
|
bias_filler {
|
|
type: "xavier"
|
|
value: 0
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "prob"
|
|
type: "Softmax"
|
|
bottom: "fc_nsfw"
|
|
top: "prob"
|
|
}
|
|
|