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October 13, 2017 07:36
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| name: "ResNet_50_1by2_nsfw" | |
| layer { | |
| name: "data" | |
| type: "Input" | |
| top: "data" | |
| input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } } | |
| } | |
| layer { | |
| name: "conv_1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn_1" | |
| type: "BatchNorm" | |
| bottom: "conv_1" | |
| top: "conv_1" | |
| 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_1" | |
| type: "Scale" | |
| bottom: "conv_1" | |
| top: "conv_1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_1" | |
| type: "ReLU" | |
| bottom: "conv_1" | |
| top: "conv_1" | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv_1" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv_stage0_block0_proj_shortcut" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "conv_stage0_block0_proj_shortcut" | |
| 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_block0_proj_shortcut" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block0_proj_shortcut" | |
| top: "conv_stage0_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_stage0_block0_proj_shortcut" | |
| type: "Scale" | |
| bottom: "conv_stage0_block0_proj_shortcut" | |
| top: "conv_stage0_block0_proj_shortcut" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv_stage0_block0_branch2a" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "conv_stage0_block0_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn_stage0_block0_branch2a" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block0_branch2a" | |
| top: "conv_stage0_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_stage0_block0_branch2a" | |
| type: "Scale" | |
| bottom: "conv_stage0_block0_branch2a" | |
| top: "conv_stage0_block0_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_stage0_block0_branch2a" | |
| type: "ReLU" | |
| bottom: "conv_stage0_block0_branch2a" | |
| top: "conv_stage0_block0_branch2a" | |
| } | |
| layer { | |
| name: "conv_stage0_block0_branch2b" | |
| type: "Convolution" | |
| bottom: "conv_stage0_block0_branch2a" | |
| top: "conv_stage0_block0_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_block0_branch2b" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block0_branch2b" | |
| top: "conv_stage0_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_stage0_block0_branch2b" | |
| type: "Scale" | |
| bottom: "conv_stage0_block0_branch2b" | |
| top: "conv_stage0_block0_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_stage0_block0_branch2b" | |
| type: "ReLU" | |
| bottom: "conv_stage0_block0_branch2b" | |
| top: "conv_stage0_block0_branch2b" | |
| } | |
| layer { | |
| name: "conv_stage0_block0_branch2c" | |
| type: "Convolution" | |
| bottom: "conv_stage0_block0_branch2b" | |
| top: "conv_stage0_block0_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_block0_branch2c" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block0_branch2c" | |
| top: "conv_stage0_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_stage0_block0_branch2c" | |
| type: "Scale" | |
| bottom: "conv_stage0_block0_branch2c" | |
| top: "conv_stage0_block0_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "eltwise_stage0_block0" | |
| type: "Eltwise" | |
| bottom: "conv_stage0_block0_proj_shortcut" | |
| bottom: "conv_stage0_block0_branch2c" | |
| top: "eltwise_stage0_block0" | |
| } | |
| layer { | |
| name: "relu_stage0_block0" | |
| type: "ReLU" | |
| bottom: "eltwise_stage0_block0" | |
| top: "eltwise_stage0_block0" | |
| } | |
| layer { | |
| name: "conv_stage0_block1_branch2a" | |
| type: "Convolution" | |
| bottom: "eltwise_stage0_block0" | |
| top: "conv_stage0_block1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn_stage0_block1_branch2a" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block1_branch2a" | |
| top: "conv_stage0_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_stage0_block1_branch2a" | |
| type: "Scale" | |
| bottom: "conv_stage0_block1_branch2a" | |
| top: "conv_stage0_block1_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_stage0_block1_branch2a" | |
| type: "ReLU" | |
| bottom: "conv_stage0_block1_branch2a" | |
| top: "conv_stage0_block1_branch2a" | |
| } | |
| layer { | |
| name: "conv_stage0_block1_branch2b" | |
| type: "Convolution" | |
| bottom: "conv_stage0_block1_branch2a" | |
| top: "conv_stage0_block1_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_block1_branch2b" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block1_branch2b" | |
| top: "conv_stage0_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_stage0_block1_branch2b" | |
| type: "Scale" | |
| bottom: "conv_stage0_block1_branch2b" | |
| top: "conv_stage0_block1_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_stage0_block1_branch2b" | |
| type: "ReLU" | |
| bottom: "conv_stage0_block1_branch2b" | |
| top: "conv_stage0_block1_branch2b" | |
| } | |
| layer { | |
| name: "conv_stage0_block1_branch2c" | |
| type: "Convolution" | |
| bottom: "conv_stage0_block1_branch2b" | |
| top: "conv_stage0_block1_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_block1_branch2c" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block1_branch2c" | |
| top: "conv_stage0_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_stage0_block1_branch2c" | |
| type: "Scale" | |
| bottom: "conv_stage0_block1_branch2c" | |
| top: "conv_stage0_block1_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "eltwise_stage0_block1" | |
| type: "Eltwise" | |
| bottom: "eltwise_stage0_block0" | |
| bottom: "conv_stage0_block1_branch2c" | |
| top: "eltwise_stage0_block1" | |
| } | |
| layer { | |
| name: "relu_stage0_block1" | |
| type: "ReLU" | |
| bottom: "eltwise_stage0_block1" | |
| top: "eltwise_stage0_block1" | |
| } | |
| layer { | |
| name: "conv_stage0_block2_branch2a" | |
| type: "Convolution" | |
| bottom: "eltwise_stage0_block1" | |
| top: "conv_stage0_block2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn_stage0_block2_branch2a" | |
| type: "BatchNorm" | |
| bottom: "conv_stage0_block2_branch2a" | |
| top: "conv_stage0_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_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" | |
| } |
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