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| name: "Deeplab_V2_resnet100" | |
| input: "data" | |
| input_dim: 1 | |
| input_dim: 3 | |
| input_dim: 321 | |
| input_dim: 321 | |
| input: "data_res05" | |
| input_dim: 1 | |
| input_dim: 3 | |
| input_dim: 160 | |
| input_dim: 160 | |
| input: "data_res075" | |
| input_dim: 1 | |
| input_dim: 3 | |
| input_dim: 240 | |
| input_dim: 240 | |
| ###################### resolution 1 ##################### | |
| layer { | |
| bottom: "data" | |
| top: "conv1" | |
| name: "conv1" | |
| type: "Convolution" | |
| param { | |
| name: "conv1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 7 | |
| pad: 3 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "conv1" | |
| top: "conv1" | |
| name: "bn_conv1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn_conv1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn_conv1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn_conv1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "conv1" | |
| top: "conv1" | |
| name: "scale_conv1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale_conv1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale_conv1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "conv1" | |
| bottom: "conv1" | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "conv1" | |
| top: "pool1" | |
| name: "pool1" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pad: 1 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| name: "bn2a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "bn2a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2a" | |
| bottom: "res2a_branch2a" | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2b" | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "bn2a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2b" | |
| bottom: "res2a_branch2b" | |
| name: "res2a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2c" | |
| name: "res2a_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| name: "bn2a_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| name: "scale2a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| bottom: "res2a_branch2c" | |
| top: "res2a" | |
| name: "res2a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2a" | |
| top: "res2a" | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a" | |
| top: "res2b_branch2a" | |
| name: "res2b_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "bn2b_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2a" | |
| bottom: "res2b_branch2a" | |
| name: "res2b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2b" | |
| name: "res2b_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "bn2b_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2b" | |
| bottom: "res2b_branch2b" | |
| name: "res2b_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2c" | |
| name: "res2b_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c" | |
| name: "bn2b_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c" | |
| name: "scale2b_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a" | |
| bottom: "res2b_branch2c" | |
| top: "res2b" | |
| name: "res2b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res2b" | |
| name: "res2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res2c_branch2a" | |
| name: "res2c_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| name: "bn2c_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| name: "scale2c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2a" | |
| bottom: "res2c_branch2a" | |
| name: "res2c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2b" | |
| name: "res2c_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| name: "bn2c_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| name: "scale2c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2b" | |
| bottom: "res2c_branch2b" | |
| name: "res2c_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2c" | |
| name: "res2c_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c" | |
| name: "bn2c_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c" | |
| name: "scale2c_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b" | |
| bottom: "res2c_branch2c" | |
| top: "res2c" | |
| name: "res2c" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res2c" | |
| name: "res2c_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res3a_branch1" | |
| name: "res3a_branch1" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| name: "bn3a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| name: "scale3a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res3a_branch2a" | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "bn3a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2a" | |
| bottom: "res3a_branch2a" | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2b" | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "bn3a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2b" | |
| bottom: "res3a_branch2b" | |
| name: "res3a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2c" | |
| name: "res3a_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| name: "bn3a_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| name: "scale3a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| bottom: "res3a_branch2c" | |
| top: "res3a" | |
| name: "res3a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3a" | |
| top: "res3a" | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a" | |
| top: "res3b1_branch2a" | |
| name: "res3b1_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| name: "bn3b1_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| name: "scale3b1_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2a" | |
| bottom: "res3b1_branch2a" | |
| name: "res3b1_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2b" | |
| name: "res3b1_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| name: "bn3b1_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| name: "scale3b1_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2b" | |
| bottom: "res3b1_branch2b" | |
| name: "res3b1_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2c" | |
| name: "res3b1_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c" | |
| name: "bn3b1_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c" | |
| name: "scale3b1_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1" | |
| name: "res3b1" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b1" | |
| top: "res3b1" | |
| name: "res3b1_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1" | |
| top: "res3b2_branch2a" | |
| name: "res3b2_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| name: "bn3b2_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| name: "scale3b2_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2a" | |
| bottom: "res3b2_branch2a" | |
| name: "res3b2_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2b" | |
| name: "res3b2_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| name: "bn3b2_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| name: "scale3b2_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2b" | |
| bottom: "res3b2_branch2b" | |
| name: "res3b2_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2c" | |
| name: "res3b2_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c" | |
| name: "bn3b2_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c" | |
| name: "scale3b2_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2" | |
| name: "res3b2" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b2" | |
| top: "res3b2" | |
| name: "res3b2_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2" | |
| top: "res3b3_branch2a" | |
| name: "res3b3_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| name: "bn3b3_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| name: "scale3b3_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2a" | |
| bottom: "res3b3_branch2a" | |
| name: "res3b3_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2b" | |
| name: "res3b3_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| name: "bn3b3_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| name: "scale3b3_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2b" | |
| bottom: "res3b3_branch2b" | |
| name: "res3b3_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2c" | |
| name: "res3b3_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c" | |
| name: "bn3b3_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c" | |
| name: "scale3b3_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3" | |
| name: "res3b3" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b3" | |
| top: "res3b3" | |
| name: "res3b3_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3" | |
| top: "res4a_branch1" | |
| name: "res4a_branch1" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| name: "bn4a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| name: "scale4a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3" | |
| top: "res4a_branch2a" | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "bn4a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2a" | |
| bottom: "res4a_branch2a" | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2b" | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "bn4a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2b" | |
| bottom: "res4a_branch2b" | |
| name: "res4a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2c" | |
| name: "res4a_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| name: "bn4a_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| name: "scale4a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| bottom: "res4a_branch2c" | |
| top: "res4a" | |
| name: "res4a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4a" | |
| top: "res4a" | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a" | |
| top: "res4b1_branch2a" | |
| name: "res4b1_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| name: "bn4b1_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| name: "scale4b1_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2a" | |
| bottom: "res4b1_branch2a" | |
| name: "res4b1_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2b" | |
| name: "res4b1_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| name: "bn4b1_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| name: "scale4b1_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2b" | |
| bottom: "res4b1_branch2b" | |
| name: "res4b1_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2c" | |
| name: "res4b1_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c" | |
| name: "bn4b1_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c" | |
| name: "scale4b1_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1" | |
| name: "res4b1" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b1" | |
| top: "res4b1" | |
| name: "res4b1_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1" | |
| top: "res4b2_branch2a" | |
| name: "res4b2_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| name: "bn4b2_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| name: "scale4b2_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2a" | |
| bottom: "res4b2_branch2a" | |
| name: "res4b2_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2b" | |
| name: "res4b2_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| name: "bn4b2_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| name: "scale4b2_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2b" | |
| bottom: "res4b2_branch2b" | |
| name: "res4b2_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2c" | |
| name: "res4b2_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c" | |
| name: "bn4b2_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c" | |
| name: "scale4b2_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2" | |
| name: "res4b2" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b2" | |
| top: "res4b2" | |
| name: "res4b2_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2" | |
| top: "res4b3_branch2a" | |
| name: "res4b3_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| name: "bn4b3_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| name: "scale4b3_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2a" | |
| bottom: "res4b3_branch2a" | |
| name: "res4b3_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2b" | |
| name: "res4b3_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| name: "bn4b3_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| name: "scale4b3_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2b" | |
| bottom: "res4b3_branch2b" | |
| name: "res4b3_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2c" | |
| name: "res4b3_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c" | |
| name: "bn4b3_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c" | |
| name: "scale4b3_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3" | |
| name: "res4b3" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b3" | |
| top: "res4b3" | |
| name: "res4b3_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3" | |
| top: "res4b4_branch2a" | |
| name: "res4b4_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| name: "bn4b4_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| name: "scale4b4_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2a" | |
| bottom: "res4b4_branch2a" | |
| name: "res4b4_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2b" | |
| name: "res4b4_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| name: "bn4b4_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| name: "scale4b4_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2b" | |
| bottom: "res4b4_branch2b" | |
| name: "res4b4_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2c" | |
| name: "res4b4_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c" | |
| name: "bn4b4_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c" | |
| name: "scale4b4_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4" | |
| name: "res4b4" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b4" | |
| top: "res4b4" | |
| name: "res4b4_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4" | |
| top: "res4b5_branch2a" | |
| name: "res4b5_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| name: "bn4b5_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| name: "scale4b5_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2a" | |
| bottom: "res4b5_branch2a" | |
| name: "res4b5_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2b" | |
| name: "res4b5_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| name: "bn4b5_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| name: "scale4b5_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2b" | |
| bottom: "res4b5_branch2b" | |
| name: "res4b5_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2c" | |
| name: "res4b5_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c" | |
| name: "bn4b5_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c" | |
| name: "scale4b5_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5" | |
| name: "res4b5" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b5" | |
| top: "res4b5" | |
| name: "res4b5_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5" | |
| top: "res4b6_branch2a" | |
| name: "res4b6_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| name: "bn4b6_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| name: "scale4b6_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2a" | |
| bottom: "res4b6_branch2a" | |
| name: "res4b6_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2b" | |
| name: "res4b6_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| name: "bn4b6_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| name: "scale4b6_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2b" | |
| bottom: "res4b6_branch2b" | |
| name: "res4b6_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2c" | |
| name: "res4b6_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c" | |
| name: "bn4b6_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c" | |
| name: "scale4b6_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6" | |
| name: "res4b6" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b6" | |
| top: "res4b6" | |
| name: "res4b6_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6" | |
| top: "res4b7_branch2a" | |
| name: "res4b7_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| name: "bn4b7_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| name: "scale4b7_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2a" | |
| bottom: "res4b7_branch2a" | |
| name: "res4b7_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2b" | |
| name: "res4b7_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| name: "bn4b7_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| name: "scale4b7_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2b" | |
| bottom: "res4b7_branch2b" | |
| name: "res4b7_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2c" | |
| name: "res4b7_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c" | |
| name: "bn4b7_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c" | |
| name: "scale4b7_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7" | |
| name: "res4b7" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b7" | |
| top: "res4b7" | |
| name: "res4b7_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7" | |
| top: "res4b8_branch2a" | |
| name: "res4b8_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| name: "bn4b8_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| name: "scale4b8_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2a" | |
| bottom: "res4b8_branch2a" | |
| name: "res4b8_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2b" | |
| name: "res4b8_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| name: "bn4b8_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| name: "scale4b8_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2b" | |
| bottom: "res4b8_branch2b" | |
| name: "res4b8_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2c" | |
| name: "res4b8_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c" | |
| name: "bn4b8_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c" | |
| name: "scale4b8_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8" | |
| name: "res4b8" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b8" | |
| top: "res4b8" | |
| name: "res4b8_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8" | |
| top: "res4b9_branch2a" | |
| name: "res4b9_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| name: "bn4b9_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| name: "scale4b9_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2a" | |
| bottom: "res4b9_branch2a" | |
| name: "res4b9_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2b" | |
| name: "res4b9_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| name: "bn4b9_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| name: "scale4b9_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2b" | |
| bottom: "res4b9_branch2b" | |
| name: "res4b9_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2c" | |
| name: "res4b9_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c" | |
| name: "bn4b9_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c" | |
| name: "scale4b9_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9" | |
| name: "res4b9" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b9" | |
| top: "res4b9" | |
| name: "res4b9_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9" | |
| top: "res4b10_branch2a" | |
| name: "res4b10_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| name: "bn4b10_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| name: "scale4b10_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2a" | |
| bottom: "res4b10_branch2a" | |
| name: "res4b10_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2b" | |
| name: "res4b10_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| name: "bn4b10_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| name: "scale4b10_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2b" | |
| bottom: "res4b10_branch2b" | |
| name: "res4b10_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2c" | |
| name: "res4b10_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c" | |
| name: "bn4b10_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c" | |
| name: "scale4b10_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10" | |
| name: "res4b10" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b10" | |
| top: "res4b10" | |
| name: "res4b10_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10" | |
| top: "res4b11_branch2a" | |
| name: "res4b11_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| name: "bn4b11_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| name: "scale4b11_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2a" | |
| bottom: "res4b11_branch2a" | |
| name: "res4b11_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2b" | |
| name: "res4b11_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| name: "bn4b11_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| name: "scale4b11_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2b" | |
| bottom: "res4b11_branch2b" | |
| name: "res4b11_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2c" | |
| name: "res4b11_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c" | |
| name: "bn4b11_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c" | |
| name: "scale4b11_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11" | |
| name: "res4b11" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b11" | |
| top: "res4b11" | |
| name: "res4b11_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11" | |
| top: "res4b12_branch2a" | |
| name: "res4b12_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| name: "bn4b12_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| name: "scale4b12_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2a" | |
| bottom: "res4b12_branch2a" | |
| name: "res4b12_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2b" | |
| name: "res4b12_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| name: "bn4b12_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| name: "scale4b12_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2b" | |
| bottom: "res4b12_branch2b" | |
| name: "res4b12_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2c" | |
| name: "res4b12_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c" | |
| name: "bn4b12_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c" | |
| name: "scale4b12_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12" | |
| name: "res4b12" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b12" | |
| top: "res4b12" | |
| name: "res4b12_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12" | |
| top: "res4b13_branch2a" | |
| name: "res4b13_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| name: "bn4b13_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| name: "scale4b13_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2a" | |
| bottom: "res4b13_branch2a" | |
| name: "res4b13_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2b" | |
| name: "res4b13_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| name: "bn4b13_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| name: "scale4b13_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2b" | |
| bottom: "res4b13_branch2b" | |
| name: "res4b13_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2c" | |
| name: "res4b13_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c" | |
| name: "bn4b13_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c" | |
| name: "scale4b13_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13" | |
| name: "res4b13" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b13" | |
| top: "res4b13" | |
| name: "res4b13_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13" | |
| top: "res4b14_branch2a" | |
| name: "res4b14_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| name: "bn4b14_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| name: "scale4b14_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2a" | |
| bottom: "res4b14_branch2a" | |
| name: "res4b14_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2b" | |
| name: "res4b14_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| name: "bn4b14_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| name: "scale4b14_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2b" | |
| bottom: "res4b14_branch2b" | |
| name: "res4b14_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2c" | |
| name: "res4b14_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c" | |
| name: "bn4b14_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c" | |
| name: "scale4b14_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14" | |
| name: "res4b14" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b14" | |
| top: "res4b14" | |
| name: "res4b14_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14" | |
| top: "res4b15_branch2a" | |
| name: "res4b15_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| name: "bn4b15_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| name: "scale4b15_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2a" | |
| bottom: "res4b15_branch2a" | |
| name: "res4b15_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2b" | |
| name: "res4b15_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| name: "bn4b15_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| name: "scale4b15_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2b" | |
| bottom: "res4b15_branch2b" | |
| name: "res4b15_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2c" | |
| name: "res4b15_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c" | |
| name: "bn4b15_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c" | |
| name: "scale4b15_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15" | |
| name: "res4b15" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b15" | |
| top: "res4b15" | |
| name: "res4b15_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15" | |
| top: "res4b16_branch2a" | |
| name: "res4b16_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| name: "bn4b16_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| name: "scale4b16_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2a" | |
| bottom: "res4b16_branch2a" | |
| name: "res4b16_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2b" | |
| name: "res4b16_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| name: "bn4b16_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| name: "scale4b16_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2b" | |
| bottom: "res4b16_branch2b" | |
| name: "res4b16_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2c" | |
| name: "res4b16_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c" | |
| name: "bn4b16_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c" | |
| name: "scale4b16_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16" | |
| name: "res4b16" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b16" | |
| top: "res4b16" | |
| name: "res4b16_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16" | |
| top: "res4b17_branch2a" | |
| name: "res4b17_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| name: "bn4b17_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| name: "scale4b17_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2a" | |
| bottom: "res4b17_branch2a" | |
| name: "res4b17_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2b" | |
| name: "res4b17_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| name: "bn4b17_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| name: "scale4b17_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2b" | |
| bottom: "res4b17_branch2b" | |
| name: "res4b17_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2c" | |
| name: "res4b17_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c" | |
| name: "bn4b17_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c" | |
| name: "scale4b17_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17" | |
| name: "res4b17" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b17" | |
| top: "res4b17" | |
| name: "res4b17_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17" | |
| top: "res4b18_branch2a" | |
| name: "res4b18_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| name: "bn4b18_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| name: "scale4b18_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2a" | |
| bottom: "res4b18_branch2a" | |
| name: "res4b18_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2b" | |
| name: "res4b18_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| name: "bn4b18_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| name: "scale4b18_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2b" | |
| bottom: "res4b18_branch2b" | |
| name: "res4b18_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2c" | |
| name: "res4b18_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c" | |
| name: "bn4b18_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c" | |
| name: "scale4b18_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18" | |
| name: "res4b18" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b18" | |
| top: "res4b18" | |
| name: "res4b18_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18" | |
| top: "res4b19_branch2a" | |
| name: "res4b19_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| name: "bn4b19_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| name: "scale4b19_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2a" | |
| bottom: "res4b19_branch2a" | |
| name: "res4b19_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2b" | |
| name: "res4b19_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| name: "bn4b19_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| name: "scale4b19_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2b" | |
| bottom: "res4b19_branch2b" | |
| name: "res4b19_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2c" | |
| name: "res4b19_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c" | |
| name: "bn4b19_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c" | |
| name: "scale4b19_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19" | |
| name: "res4b19" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b19" | |
| top: "res4b19" | |
| name: "res4b19_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19" | |
| top: "res4b20_branch2a" | |
| name: "res4b20_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| name: "bn4b20_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| name: "scale4b20_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2a" | |
| bottom: "res4b20_branch2a" | |
| name: "res4b20_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2b" | |
| name: "res4b20_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| name: "bn4b20_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| name: "scale4b20_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2b" | |
| bottom: "res4b20_branch2b" | |
| name: "res4b20_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2c" | |
| name: "res4b20_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c" | |
| name: "bn4b20_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c" | |
| name: "scale4b20_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20" | |
| name: "res4b20" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b20" | |
| top: "res4b20" | |
| name: "res4b20_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20" | |
| top: "res4b21_branch2a" | |
| name: "res4b21_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| name: "bn4b21_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| name: "scale4b21_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2a" | |
| bottom: "res4b21_branch2a" | |
| name: "res4b21_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2b" | |
| name: "res4b21_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| name: "bn4b21_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| name: "scale4b21_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2b" | |
| bottom: "res4b21_branch2b" | |
| name: "res4b21_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2c" | |
| name: "res4b21_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c" | |
| name: "bn4b21_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c" | |
| name: "scale4b21_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21" | |
| name: "res4b21" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b21" | |
| top: "res4b21" | |
| name: "res4b21_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21" | |
| top: "res4b22_branch2a" | |
| name: "res4b22_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| name: "bn4b22_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| name: "scale4b22_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2a" | |
| bottom: "res4b22_branch2a" | |
| name: "res4b22_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2b" | |
| name: "res4b22_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| name: "bn4b22_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| name: "scale4b22_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2b" | |
| bottom: "res4b22_branch2b" | |
| name: "res4b22_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2c" | |
| name: "res4b22_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c" | |
| name: "bn4b22_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c" | |
| name: "scale4b22_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22" | |
| name: "res4b22" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b22" | |
| top: "res4b22" | |
| name: "res4b22_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22" | |
| top: "res5a_branch1" | |
| name: "res5a_branch1" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| name: "bn5a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| name: "scale5a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22" | |
| top: "res5a_branch2a" | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "bn5a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2a" | |
| bottom: "res5a_branch2a" | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2b" | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "bn5a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2b" | |
| bottom: "res5a_branch2b" | |
| name: "res5a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2c" | |
| name: "res5a_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| name: "bn5a_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| name: "scale5a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| bottom: "res5a_branch2c" | |
| top: "res5a" | |
| name: "res5a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5a" | |
| top: "res5a" | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a" | |
| top: "res5b_branch2a" | |
| name: "res5b_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "bn5b_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2a" | |
| bottom: "res5b_branch2a" | |
| name: "res5b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2b" | |
| name: "res5b_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "bn5b_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2b" | |
| bottom: "res5b_branch2b" | |
| name: "res5b_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2c" | |
| name: "res5b_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c" | |
| name: "bn5b_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c" | |
| name: "scale5b_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a" | |
| bottom: "res5b_branch2c" | |
| top: "res5b" | |
| name: "res5b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5b" | |
| name: "res5b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5c_branch2a" | |
| name: "res5c_branch2a" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| name: "bn5c_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| name: "scale5c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2a" | |
| bottom: "res5c_branch2a" | |
| name: "res5c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2b" | |
| name: "res5c_branch2b" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| name: "bn5c_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| name: "scale5c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2b" | |
| bottom: "res5c_branch2b" | |
| name: "res5c_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2c" | |
| name: "res5c_branch2c" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c" | |
| name: "bn5c_branch2c" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c" | |
| name: "scale5c_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b" | |
| bottom: "res5c_branch2c" | |
| top: "res5c" | |
| name: "res5c" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5c" | |
| top: "res5c" | |
| name: "res5c_relu" | |
| type: "ReLU" | |
| } | |
| ###################### resolution 1/2 ##################### | |
| layer { | |
| bottom: "data_res05" | |
| top: "conv1_res05" | |
| name: "conv1_res05" | |
| type: "Convolution" | |
| param { | |
| name: "conv1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 7 | |
| pad: 3 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_res05" | |
| top: "conv1_res05" | |
| name: "bn_conv1_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn_conv1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn_conv1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn_conv1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_res05" | |
| top: "conv1_res05" | |
| name: "scale_conv1_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale_conv1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale_conv1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "conv1_res05" | |
| bottom: "conv1_res05" | |
| name: "conv1_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "conv1_res05" | |
| top: "pool1_res05" | |
| name: "pool1_res05" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pad: 1 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "pool1_res05" | |
| top: "res2a_branch1_res05" | |
| name: "res2a_branch1_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1_res05" | |
| top: "res2a_branch1_res05" | |
| name: "bn2a_branch1_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1_res05" | |
| top: "res2a_branch1_res05" | |
| name: "scale2a_branch1_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "pool1_res05" | |
| top: "res2a_branch2a_res05" | |
| name: "res2a_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a_res05" | |
| top: "res2a_branch2a_res05" | |
| name: "bn2a_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a_res05" | |
| top: "res2a_branch2a_res05" | |
| name: "scale2a_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2a_res05" | |
| bottom: "res2a_branch2a_res05" | |
| name: "res2a_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2a_res05" | |
| top: "res2a_branch2b_res05" | |
| name: "res2a_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b_res05" | |
| top: "res2a_branch2b_res05" | |
| name: "bn2a_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b_res05" | |
| top: "res2a_branch2b_res05" | |
| name: "scale2a_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2b_res05" | |
| bottom: "res2a_branch2b_res05" | |
| name: "res2a_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2b_res05" | |
| top: "res2a_branch2c_res05" | |
| name: "res2a_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c_res05" | |
| top: "res2a_branch2c_res05" | |
| name: "bn2a_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c_res05" | |
| top: "res2a_branch2c_res05" | |
| name: "scale2a_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1_res05" | |
| bottom: "res2a_branch2c_res05" | |
| top: "res2a_res05" | |
| name: "res2a_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2a_res05" | |
| top: "res2a_res05" | |
| name: "res2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_res05" | |
| top: "res2b_branch2a_res05" | |
| name: "res2b_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a_res05" | |
| top: "res2b_branch2a_res05" | |
| name: "bn2b_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a_res05" | |
| top: "res2b_branch2a_res05" | |
| name: "scale2b_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2a_res05" | |
| bottom: "res2b_branch2a_res05" | |
| name: "res2b_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2a_res05" | |
| top: "res2b_branch2b_res05" | |
| name: "res2b_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b_res05" | |
| top: "res2b_branch2b_res05" | |
| name: "bn2b_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b_res05" | |
| top: "res2b_branch2b_res05" | |
| name: "scale2b_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2b_res05" | |
| bottom: "res2b_branch2b_res05" | |
| name: "res2b_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2b_res05" | |
| top: "res2b_branch2c_res05" | |
| name: "res2b_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c_res05" | |
| top: "res2b_branch2c_res05" | |
| name: "bn2b_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c_res05" | |
| top: "res2b_branch2c_res05" | |
| name: "scale2b_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_res05" | |
| bottom: "res2b_branch2c_res05" | |
| top: "res2b_res05" | |
| name: "res2b_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2b_res05" | |
| top: "res2b_res05" | |
| name: "res2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_res05" | |
| top: "res2c_branch2a_res05" | |
| name: "res2c_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a_res05" | |
| top: "res2c_branch2a_res05" | |
| name: "bn2c_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a_res05" | |
| top: "res2c_branch2a_res05" | |
| name: "scale2c_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2a_res05" | |
| bottom: "res2c_branch2a_res05" | |
| name: "res2c_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2a_res05" | |
| top: "res2c_branch2b_res05" | |
| name: "res2c_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b_res05" | |
| top: "res2c_branch2b_res05" | |
| name: "bn2c_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b_res05" | |
| top: "res2c_branch2b_res05" | |
| name: "scale2c_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2b_res05" | |
| bottom: "res2c_branch2b_res05" | |
| name: "res2c_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2b_res05" | |
| top: "res2c_branch2c_res05" | |
| name: "res2c_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c_res05" | |
| top: "res2c_branch2c_res05" | |
| name: "bn2c_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c_res05" | |
| top: "res2c_branch2c_res05" | |
| name: "scale2c_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_res05" | |
| bottom: "res2c_branch2c_res05" | |
| top: "res2c_res05" | |
| name: "res2c_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2c_res05" | |
| top: "res2c_res05" | |
| name: "res2c_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_res05" | |
| top: "res3a_branch1_res05" | |
| name: "res3a_branch1_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1_res05" | |
| top: "res3a_branch1_res05" | |
| name: "bn3a_branch1_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1_res05" | |
| top: "res3a_branch1_res05" | |
| name: "scale3a_branch1_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_res05" | |
| top: "res3a_branch2a_res05" | |
| name: "res3a_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a_res05" | |
| top: "res3a_branch2a_res05" | |
| name: "bn3a_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a_res05" | |
| top: "res3a_branch2a_res05" | |
| name: "scale3a_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2a_res05" | |
| bottom: "res3a_branch2a_res05" | |
| name: "res3a_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2a_res05" | |
| top: "res3a_branch2b_res05" | |
| name: "res3a_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b_res05" | |
| top: "res3a_branch2b_res05" | |
| name: "bn3a_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b_res05" | |
| top: "res3a_branch2b_res05" | |
| name: "scale3a_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2b_res05" | |
| bottom: "res3a_branch2b_res05" | |
| name: "res3a_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2b_res05" | |
| top: "res3a_branch2c_res05" | |
| name: "res3a_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c_res05" | |
| top: "res3a_branch2c_res05" | |
| name: "bn3a_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c_res05" | |
| top: "res3a_branch2c_res05" | |
| name: "scale3a_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1_res05" | |
| bottom: "res3a_branch2c_res05" | |
| top: "res3a_res05" | |
| name: "res3a_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3a_res05" | |
| top: "res3a_res05" | |
| name: "res3a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_res05" | |
| top: "res3b1_branch2a_res05" | |
| name: "res3b1_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a_res05" | |
| top: "res3b1_branch2a_res05" | |
| name: "bn3b1_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a_res05" | |
| top: "res3b1_branch2a_res05" | |
| name: "scale3b1_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2a_res05" | |
| bottom: "res3b1_branch2a_res05" | |
| name: "res3b1_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a_res05" | |
| top: "res3b1_branch2b_res05" | |
| name: "res3b1_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b_res05" | |
| top: "res3b1_branch2b_res05" | |
| name: "bn3b1_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b_res05" | |
| top: "res3b1_branch2b_res05" | |
| name: "scale3b1_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2b_res05" | |
| bottom: "res3b1_branch2b_res05" | |
| name: "res3b1_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b_res05" | |
| top: "res3b1_branch2c_res05" | |
| name: "res3b1_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2c_res05" | |
| top: "res3b1_branch2c_res05" | |
| name: "bn3b1_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2c_res05" | |
| top: "res3b1_branch2c_res05" | |
| name: "scale3b1_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_res05" | |
| bottom: "res3b1_branch2c_res05" | |
| top: "res3b1_res05" | |
| name: "res3b1_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b1_res05" | |
| top: "res3b1_res05" | |
| name: "res3b1_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_res05" | |
| top: "res3b2_branch2a_res05" | |
| name: "res3b2_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a_res05" | |
| top: "res3b2_branch2a_res05" | |
| name: "bn3b2_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a_res05" | |
| top: "res3b2_branch2a_res05" | |
| name: "scale3b2_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2a_res05" | |
| bottom: "res3b2_branch2a_res05" | |
| name: "res3b2_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a_res05" | |
| top: "res3b2_branch2b_res05" | |
| name: "res3b2_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b_res05" | |
| top: "res3b2_branch2b_res05" | |
| name: "bn3b2_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b_res05" | |
| top: "res3b2_branch2b_res05" | |
| name: "scale3b2_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2b_res05" | |
| bottom: "res3b2_branch2b_res05" | |
| name: "res3b2_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b_res05" | |
| top: "res3b2_branch2c_res05" | |
| name: "res3b2_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2c_res05" | |
| top: "res3b2_branch2c_res05" | |
| name: "bn3b2_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2c_res05" | |
| top: "res3b2_branch2c_res05" | |
| name: "scale3b2_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_res05" | |
| bottom: "res3b2_branch2c_res05" | |
| top: "res3b2_res05" | |
| name: "res3b2_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b2_res05" | |
| top: "res3b2_res05" | |
| name: "res3b2_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_res05" | |
| top: "res3b3_branch2a_res05" | |
| name: "res3b3_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a_res05" | |
| top: "res3b3_branch2a_res05" | |
| name: "bn3b3_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a_res05" | |
| top: "res3b3_branch2a_res05" | |
| name: "scale3b3_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2a_res05" | |
| bottom: "res3b3_branch2a_res05" | |
| name: "res3b3_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a_res05" | |
| top: "res3b3_branch2b_res05" | |
| name: "res3b3_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b_res05" | |
| top: "res3b3_branch2b_res05" | |
| name: "bn3b3_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b_res05" | |
| top: "res3b3_branch2b_res05" | |
| name: "scale3b3_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2b_res05" | |
| bottom: "res3b3_branch2b_res05" | |
| name: "res3b3_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b_res05" | |
| top: "res3b3_branch2c_res05" | |
| name: "res3b3_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2c_res05" | |
| top: "res3b3_branch2c_res05" | |
| name: "bn3b3_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2c_res05" | |
| top: "res3b3_branch2c_res05" | |
| name: "scale3b3_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_res05" | |
| bottom: "res3b3_branch2c_res05" | |
| top: "res3b3_res05" | |
| name: "res3b3_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b3_res05" | |
| top: "res3b3_res05" | |
| name: "res3b3_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_res05" | |
| top: "res4a_branch1_res05" | |
| name: "res4a_branch1_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1_res05" | |
| top: "res4a_branch1_res05" | |
| name: "bn4a_branch1_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1_res05" | |
| top: "res4a_branch1_res05" | |
| name: "scale4a_branch1_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_res05" | |
| top: "res4a_branch2a_res05" | |
| name: "res4a_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a_res05" | |
| top: "res4a_branch2a_res05" | |
| name: "bn4a_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a_res05" | |
| top: "res4a_branch2a_res05" | |
| name: "scale4a_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2a_res05" | |
| bottom: "res4a_branch2a_res05" | |
| name: "res4a_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2a_res05" | |
| top: "res4a_branch2b_res05" | |
| name: "res4a_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b_res05" | |
| top: "res4a_branch2b_res05" | |
| name: "bn4a_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b_res05" | |
| top: "res4a_branch2b_res05" | |
| name: "scale4a_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2b_res05" | |
| bottom: "res4a_branch2b_res05" | |
| name: "res4a_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2b_res05" | |
| top: "res4a_branch2c_res05" | |
| name: "res4a_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c_res05" | |
| top: "res4a_branch2c_res05" | |
| name: "bn4a_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c_res05" | |
| top: "res4a_branch2c_res05" | |
| name: "scale4a_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1_res05" | |
| bottom: "res4a_branch2c_res05" | |
| top: "res4a_res05" | |
| name: "res4a_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4a_res05" | |
| top: "res4a_res05" | |
| name: "res4a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_res05" | |
| top: "res4b1_branch2a_res05" | |
| name: "res4b1_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a_res05" | |
| top: "res4b1_branch2a_res05" | |
| name: "bn4b1_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a_res05" | |
| top: "res4b1_branch2a_res05" | |
| name: "scale4b1_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2a_res05" | |
| bottom: "res4b1_branch2a_res05" | |
| name: "res4b1_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a_res05" | |
| top: "res4b1_branch2b_res05" | |
| name: "res4b1_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b_res05" | |
| top: "res4b1_branch2b_res05" | |
| name: "bn4b1_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b_res05" | |
| top: "res4b1_branch2b_res05" | |
| name: "scale4b1_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2b_res05" | |
| bottom: "res4b1_branch2b_res05" | |
| name: "res4b1_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b_res05" | |
| top: "res4b1_branch2c_res05" | |
| name: "res4b1_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2c_res05" | |
| top: "res4b1_branch2c_res05" | |
| name: "bn4b1_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2c_res05" | |
| top: "res4b1_branch2c_res05" | |
| name: "scale4b1_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_res05" | |
| bottom: "res4b1_branch2c_res05" | |
| top: "res4b1_res05" | |
| name: "res4b1_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b1_res05" | |
| top: "res4b1_res05" | |
| name: "res4b1_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_res05" | |
| top: "res4b2_branch2a_res05" | |
| name: "res4b2_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a_res05" | |
| top: "res4b2_branch2a_res05" | |
| name: "bn4b2_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a_res05" | |
| top: "res4b2_branch2a_res05" | |
| name: "scale4b2_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2a_res05" | |
| bottom: "res4b2_branch2a_res05" | |
| name: "res4b2_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a_res05" | |
| top: "res4b2_branch2b_res05" | |
| name: "res4b2_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b_res05" | |
| top: "res4b2_branch2b_res05" | |
| name: "bn4b2_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b_res05" | |
| top: "res4b2_branch2b_res05" | |
| name: "scale4b2_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2b_res05" | |
| bottom: "res4b2_branch2b_res05" | |
| name: "res4b2_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b_res05" | |
| top: "res4b2_branch2c_res05" | |
| name: "res4b2_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2c_res05" | |
| top: "res4b2_branch2c_res05" | |
| name: "bn4b2_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2c_res05" | |
| top: "res4b2_branch2c_res05" | |
| name: "scale4b2_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_res05" | |
| bottom: "res4b2_branch2c_res05" | |
| top: "res4b2_res05" | |
| name: "res4b2_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b2_res05" | |
| top: "res4b2_res05" | |
| name: "res4b2_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_res05" | |
| top: "res4b3_branch2a_res05" | |
| name: "res4b3_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a_res05" | |
| top: "res4b3_branch2a_res05" | |
| name: "bn4b3_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a_res05" | |
| top: "res4b3_branch2a_res05" | |
| name: "scale4b3_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2a_res05" | |
| bottom: "res4b3_branch2a_res05" | |
| name: "res4b3_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a_res05" | |
| top: "res4b3_branch2b_res05" | |
| name: "res4b3_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b_res05" | |
| top: "res4b3_branch2b_res05" | |
| name: "bn4b3_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b_res05" | |
| top: "res4b3_branch2b_res05" | |
| name: "scale4b3_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2b_res05" | |
| bottom: "res4b3_branch2b_res05" | |
| name: "res4b3_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b_res05" | |
| top: "res4b3_branch2c_res05" | |
| name: "res4b3_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2c_res05" | |
| top: "res4b3_branch2c_res05" | |
| name: "bn4b3_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2c_res05" | |
| top: "res4b3_branch2c_res05" | |
| name: "scale4b3_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_res05" | |
| bottom: "res4b3_branch2c_res05" | |
| top: "res4b3_res05" | |
| name: "res4b3_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b3_res05" | |
| top: "res4b3_res05" | |
| name: "res4b3_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_res05" | |
| top: "res4b4_branch2a_res05" | |
| name: "res4b4_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a_res05" | |
| top: "res4b4_branch2a_res05" | |
| name: "bn4b4_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a_res05" | |
| top: "res4b4_branch2a_res05" | |
| name: "scale4b4_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2a_res05" | |
| bottom: "res4b4_branch2a_res05" | |
| name: "res4b4_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a_res05" | |
| top: "res4b4_branch2b_res05" | |
| name: "res4b4_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b_res05" | |
| top: "res4b4_branch2b_res05" | |
| name: "bn4b4_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b_res05" | |
| top: "res4b4_branch2b_res05" | |
| name: "scale4b4_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2b_res05" | |
| bottom: "res4b4_branch2b_res05" | |
| name: "res4b4_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b_res05" | |
| top: "res4b4_branch2c_res05" | |
| name: "res4b4_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2c_res05" | |
| top: "res4b4_branch2c_res05" | |
| name: "bn4b4_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2c_res05" | |
| top: "res4b4_branch2c_res05" | |
| name: "scale4b4_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_res05" | |
| bottom: "res4b4_branch2c_res05" | |
| top: "res4b4_res05" | |
| name: "res4b4_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b4_res05" | |
| top: "res4b4_res05" | |
| name: "res4b4_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_res05" | |
| top: "res4b5_branch2a_res05" | |
| name: "res4b5_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a_res05" | |
| top: "res4b5_branch2a_res05" | |
| name: "bn4b5_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a_res05" | |
| top: "res4b5_branch2a_res05" | |
| name: "scale4b5_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2a_res05" | |
| bottom: "res4b5_branch2a_res05" | |
| name: "res4b5_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a_res05" | |
| top: "res4b5_branch2b_res05" | |
| name: "res4b5_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b_res05" | |
| top: "res4b5_branch2b_res05" | |
| name: "bn4b5_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b_res05" | |
| top: "res4b5_branch2b_res05" | |
| name: "scale4b5_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2b_res05" | |
| bottom: "res4b5_branch2b_res05" | |
| name: "res4b5_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b_res05" | |
| top: "res4b5_branch2c_res05" | |
| name: "res4b5_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2c_res05" | |
| top: "res4b5_branch2c_res05" | |
| name: "bn4b5_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2c_res05" | |
| top: "res4b5_branch2c_res05" | |
| name: "scale4b5_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_res05" | |
| bottom: "res4b5_branch2c_res05" | |
| top: "res4b5_res05" | |
| name: "res4b5_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b5_res05" | |
| top: "res4b5_res05" | |
| name: "res4b5_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_res05" | |
| top: "res4b6_branch2a_res05" | |
| name: "res4b6_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a_res05" | |
| top: "res4b6_branch2a_res05" | |
| name: "bn4b6_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a_res05" | |
| top: "res4b6_branch2a_res05" | |
| name: "scale4b6_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2a_res05" | |
| bottom: "res4b6_branch2a_res05" | |
| name: "res4b6_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a_res05" | |
| top: "res4b6_branch2b_res05" | |
| name: "res4b6_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b_res05" | |
| top: "res4b6_branch2b_res05" | |
| name: "bn4b6_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b_res05" | |
| top: "res4b6_branch2b_res05" | |
| name: "scale4b6_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2b_res05" | |
| bottom: "res4b6_branch2b_res05" | |
| name: "res4b6_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b_res05" | |
| top: "res4b6_branch2c_res05" | |
| name: "res4b6_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2c_res05" | |
| top: "res4b6_branch2c_res05" | |
| name: "bn4b6_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2c_res05" | |
| top: "res4b6_branch2c_res05" | |
| name: "scale4b6_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_res05" | |
| bottom: "res4b6_branch2c_res05" | |
| top: "res4b6_res05" | |
| name: "res4b6_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b6_res05" | |
| top: "res4b6_res05" | |
| name: "res4b6_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_res05" | |
| top: "res4b7_branch2a_res05" | |
| name: "res4b7_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a_res05" | |
| top: "res4b7_branch2a_res05" | |
| name: "bn4b7_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a_res05" | |
| top: "res4b7_branch2a_res05" | |
| name: "scale4b7_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2a_res05" | |
| bottom: "res4b7_branch2a_res05" | |
| name: "res4b7_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a_res05" | |
| top: "res4b7_branch2b_res05" | |
| name: "res4b7_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b_res05" | |
| top: "res4b7_branch2b_res05" | |
| name: "bn4b7_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b_res05" | |
| top: "res4b7_branch2b_res05" | |
| name: "scale4b7_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2b_res05" | |
| bottom: "res4b7_branch2b_res05" | |
| name: "res4b7_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b_res05" | |
| top: "res4b7_branch2c_res05" | |
| name: "res4b7_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2c_res05" | |
| top: "res4b7_branch2c_res05" | |
| name: "bn4b7_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2c_res05" | |
| top: "res4b7_branch2c_res05" | |
| name: "scale4b7_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_res05" | |
| bottom: "res4b7_branch2c_res05" | |
| top: "res4b7_res05" | |
| name: "res4b7_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b7_res05" | |
| top: "res4b7_res05" | |
| name: "res4b7_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_res05" | |
| top: "res4b8_branch2a_res05" | |
| name: "res4b8_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a_res05" | |
| top: "res4b8_branch2a_res05" | |
| name: "bn4b8_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a_res05" | |
| top: "res4b8_branch2a_res05" | |
| name: "scale4b8_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2a_res05" | |
| bottom: "res4b8_branch2a_res05" | |
| name: "res4b8_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a_res05" | |
| top: "res4b8_branch2b_res05" | |
| name: "res4b8_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b_res05" | |
| top: "res4b8_branch2b_res05" | |
| name: "bn4b8_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b_res05" | |
| top: "res4b8_branch2b_res05" | |
| name: "scale4b8_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2b_res05" | |
| bottom: "res4b8_branch2b_res05" | |
| name: "res4b8_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b_res05" | |
| top: "res4b8_branch2c_res05" | |
| name: "res4b8_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2c_res05" | |
| top: "res4b8_branch2c_res05" | |
| name: "bn4b8_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2c_res05" | |
| top: "res4b8_branch2c_res05" | |
| name: "scale4b8_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_res05" | |
| bottom: "res4b8_branch2c_res05" | |
| top: "res4b8_res05" | |
| name: "res4b8_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b8_res05" | |
| top: "res4b8_res05" | |
| name: "res4b8_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_res05" | |
| top: "res4b9_branch2a_res05" | |
| name: "res4b9_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a_res05" | |
| top: "res4b9_branch2a_res05" | |
| name: "bn4b9_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a_res05" | |
| top: "res4b9_branch2a_res05" | |
| name: "scale4b9_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2a_res05" | |
| bottom: "res4b9_branch2a_res05" | |
| name: "res4b9_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a_res05" | |
| top: "res4b9_branch2b_res05" | |
| name: "res4b9_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b_res05" | |
| top: "res4b9_branch2b_res05" | |
| name: "bn4b9_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b_res05" | |
| top: "res4b9_branch2b_res05" | |
| name: "scale4b9_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2b_res05" | |
| bottom: "res4b9_branch2b_res05" | |
| name: "res4b9_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b_res05" | |
| top: "res4b9_branch2c_res05" | |
| name: "res4b9_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2c_res05" | |
| top: "res4b9_branch2c_res05" | |
| name: "bn4b9_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2c_res05" | |
| top: "res4b9_branch2c_res05" | |
| name: "scale4b9_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_res05" | |
| bottom: "res4b9_branch2c_res05" | |
| top: "res4b9_res05" | |
| name: "res4b9_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b9_res05" | |
| top: "res4b9_res05" | |
| name: "res4b9_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_res05" | |
| top: "res4b10_branch2a_res05" | |
| name: "res4b10_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a_res05" | |
| top: "res4b10_branch2a_res05" | |
| name: "bn4b10_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a_res05" | |
| top: "res4b10_branch2a_res05" | |
| name: "scale4b10_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2a_res05" | |
| bottom: "res4b10_branch2a_res05" | |
| name: "res4b10_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a_res05" | |
| top: "res4b10_branch2b_res05" | |
| name: "res4b10_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b_res05" | |
| top: "res4b10_branch2b_res05" | |
| name: "bn4b10_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b_res05" | |
| top: "res4b10_branch2b_res05" | |
| name: "scale4b10_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2b_res05" | |
| bottom: "res4b10_branch2b_res05" | |
| name: "res4b10_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b_res05" | |
| top: "res4b10_branch2c_res05" | |
| name: "res4b10_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2c_res05" | |
| top: "res4b10_branch2c_res05" | |
| name: "bn4b10_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2c_res05" | |
| top: "res4b10_branch2c_res05" | |
| name: "scale4b10_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_res05" | |
| bottom: "res4b10_branch2c_res05" | |
| top: "res4b10_res05" | |
| name: "res4b10_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b10_res05" | |
| top: "res4b10_res05" | |
| name: "res4b10_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_res05" | |
| top: "res4b11_branch2a_res05" | |
| name: "res4b11_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a_res05" | |
| top: "res4b11_branch2a_res05" | |
| name: "bn4b11_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a_res05" | |
| top: "res4b11_branch2a_res05" | |
| name: "scale4b11_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2a_res05" | |
| bottom: "res4b11_branch2a_res05" | |
| name: "res4b11_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a_res05" | |
| top: "res4b11_branch2b_res05" | |
| name: "res4b11_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b_res05" | |
| top: "res4b11_branch2b_res05" | |
| name: "bn4b11_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b_res05" | |
| top: "res4b11_branch2b_res05" | |
| name: "scale4b11_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2b_res05" | |
| bottom: "res4b11_branch2b_res05" | |
| name: "res4b11_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b_res05" | |
| top: "res4b11_branch2c_res05" | |
| name: "res4b11_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2c_res05" | |
| top: "res4b11_branch2c_res05" | |
| name: "bn4b11_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2c_res05" | |
| top: "res4b11_branch2c_res05" | |
| name: "scale4b11_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_res05" | |
| bottom: "res4b11_branch2c_res05" | |
| top: "res4b11_res05" | |
| name: "res4b11_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b11_res05" | |
| top: "res4b11_res05" | |
| name: "res4b11_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_res05" | |
| top: "res4b12_branch2a_res05" | |
| name: "res4b12_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a_res05" | |
| top: "res4b12_branch2a_res05" | |
| name: "bn4b12_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a_res05" | |
| top: "res4b12_branch2a_res05" | |
| name: "scale4b12_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2a_res05" | |
| bottom: "res4b12_branch2a_res05" | |
| name: "res4b12_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a_res05" | |
| top: "res4b12_branch2b_res05" | |
| name: "res4b12_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b_res05" | |
| top: "res4b12_branch2b_res05" | |
| name: "bn4b12_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b_res05" | |
| top: "res4b12_branch2b_res05" | |
| name: "scale4b12_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2b_res05" | |
| bottom: "res4b12_branch2b_res05" | |
| name: "res4b12_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b_res05" | |
| top: "res4b12_branch2c_res05" | |
| name: "res4b12_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2c_res05" | |
| top: "res4b12_branch2c_res05" | |
| name: "bn4b12_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2c_res05" | |
| top: "res4b12_branch2c_res05" | |
| name: "scale4b12_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_res05" | |
| bottom: "res4b12_branch2c_res05" | |
| top: "res4b12_res05" | |
| name: "res4b12_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b12_res05" | |
| top: "res4b12_res05" | |
| name: "res4b12_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_res05" | |
| top: "res4b13_branch2a_res05" | |
| name: "res4b13_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a_res05" | |
| top: "res4b13_branch2a_res05" | |
| name: "bn4b13_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a_res05" | |
| top: "res4b13_branch2a_res05" | |
| name: "scale4b13_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2a_res05" | |
| bottom: "res4b13_branch2a_res05" | |
| name: "res4b13_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a_res05" | |
| top: "res4b13_branch2b_res05" | |
| name: "res4b13_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b_res05" | |
| top: "res4b13_branch2b_res05" | |
| name: "bn4b13_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b_res05" | |
| top: "res4b13_branch2b_res05" | |
| name: "scale4b13_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2b_res05" | |
| bottom: "res4b13_branch2b_res05" | |
| name: "res4b13_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b_res05" | |
| top: "res4b13_branch2c_res05" | |
| name: "res4b13_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2c_res05" | |
| top: "res4b13_branch2c_res05" | |
| name: "bn4b13_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2c_res05" | |
| top: "res4b13_branch2c_res05" | |
| name: "scale4b13_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_res05" | |
| bottom: "res4b13_branch2c_res05" | |
| top: "res4b13_res05" | |
| name: "res4b13_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b13_res05" | |
| top: "res4b13_res05" | |
| name: "res4b13_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_res05" | |
| top: "res4b14_branch2a_res05" | |
| name: "res4b14_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a_res05" | |
| top: "res4b14_branch2a_res05" | |
| name: "bn4b14_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a_res05" | |
| top: "res4b14_branch2a_res05" | |
| name: "scale4b14_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2a_res05" | |
| bottom: "res4b14_branch2a_res05" | |
| name: "res4b14_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a_res05" | |
| top: "res4b14_branch2b_res05" | |
| name: "res4b14_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b_res05" | |
| top: "res4b14_branch2b_res05" | |
| name: "bn4b14_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b_res05" | |
| top: "res4b14_branch2b_res05" | |
| name: "scale4b14_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2b_res05" | |
| bottom: "res4b14_branch2b_res05" | |
| name: "res4b14_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b_res05" | |
| top: "res4b14_branch2c_res05" | |
| name: "res4b14_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2c_res05" | |
| top: "res4b14_branch2c_res05" | |
| name: "bn4b14_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2c_res05" | |
| top: "res4b14_branch2c_res05" | |
| name: "scale4b14_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_res05" | |
| bottom: "res4b14_branch2c_res05" | |
| top: "res4b14_res05" | |
| name: "res4b14_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b14_res05" | |
| top: "res4b14_res05" | |
| name: "res4b14_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_res05" | |
| top: "res4b15_branch2a_res05" | |
| name: "res4b15_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a_res05" | |
| top: "res4b15_branch2a_res05" | |
| name: "bn4b15_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a_res05" | |
| top: "res4b15_branch2a_res05" | |
| name: "scale4b15_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2a_res05" | |
| bottom: "res4b15_branch2a_res05" | |
| name: "res4b15_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a_res05" | |
| top: "res4b15_branch2b_res05" | |
| name: "res4b15_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b_res05" | |
| top: "res4b15_branch2b_res05" | |
| name: "bn4b15_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b_res05" | |
| top: "res4b15_branch2b_res05" | |
| name: "scale4b15_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2b_res05" | |
| bottom: "res4b15_branch2b_res05" | |
| name: "res4b15_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b_res05" | |
| top: "res4b15_branch2c_res05" | |
| name: "res4b15_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2c_res05" | |
| top: "res4b15_branch2c_res05" | |
| name: "bn4b15_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2c_res05" | |
| top: "res4b15_branch2c_res05" | |
| name: "scale4b15_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_res05" | |
| bottom: "res4b15_branch2c_res05" | |
| top: "res4b15_res05" | |
| name: "res4b15_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b15_res05" | |
| top: "res4b15_res05" | |
| name: "res4b15_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_res05" | |
| top: "res4b16_branch2a_res05" | |
| name: "res4b16_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a_res05" | |
| top: "res4b16_branch2a_res05" | |
| name: "bn4b16_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a_res05" | |
| top: "res4b16_branch2a_res05" | |
| name: "scale4b16_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2a_res05" | |
| bottom: "res4b16_branch2a_res05" | |
| name: "res4b16_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a_res05" | |
| top: "res4b16_branch2b_res05" | |
| name: "res4b16_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b_res05" | |
| top: "res4b16_branch2b_res05" | |
| name: "bn4b16_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b_res05" | |
| top: "res4b16_branch2b_res05" | |
| name: "scale4b16_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2b_res05" | |
| bottom: "res4b16_branch2b_res05" | |
| name: "res4b16_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b_res05" | |
| top: "res4b16_branch2c_res05" | |
| name: "res4b16_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2c_res05" | |
| top: "res4b16_branch2c_res05" | |
| name: "bn4b16_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2c_res05" | |
| top: "res4b16_branch2c_res05" | |
| name: "scale4b16_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_res05" | |
| bottom: "res4b16_branch2c_res05" | |
| top: "res4b16_res05" | |
| name: "res4b16_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b16_res05" | |
| top: "res4b16_res05" | |
| name: "res4b16_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_res05" | |
| top: "res4b17_branch2a_res05" | |
| name: "res4b17_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a_res05" | |
| top: "res4b17_branch2a_res05" | |
| name: "bn4b17_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a_res05" | |
| top: "res4b17_branch2a_res05" | |
| name: "scale4b17_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2a_res05" | |
| bottom: "res4b17_branch2a_res05" | |
| name: "res4b17_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a_res05" | |
| top: "res4b17_branch2b_res05" | |
| name: "res4b17_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b_res05" | |
| top: "res4b17_branch2b_res05" | |
| name: "bn4b17_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b_res05" | |
| top: "res4b17_branch2b_res05" | |
| name: "scale4b17_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2b_res05" | |
| bottom: "res4b17_branch2b_res05" | |
| name: "res4b17_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b_res05" | |
| top: "res4b17_branch2c_res05" | |
| name: "res4b17_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2c_res05" | |
| top: "res4b17_branch2c_res05" | |
| name: "bn4b17_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2c_res05" | |
| top: "res4b17_branch2c_res05" | |
| name: "scale4b17_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_res05" | |
| bottom: "res4b17_branch2c_res05" | |
| top: "res4b17_res05" | |
| name: "res4b17_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b17_res05" | |
| top: "res4b17_res05" | |
| name: "res4b17_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_res05" | |
| top: "res4b18_branch2a_res05" | |
| name: "res4b18_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a_res05" | |
| top: "res4b18_branch2a_res05" | |
| name: "bn4b18_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a_res05" | |
| top: "res4b18_branch2a_res05" | |
| name: "scale4b18_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2a_res05" | |
| bottom: "res4b18_branch2a_res05" | |
| name: "res4b18_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a_res05" | |
| top: "res4b18_branch2b_res05" | |
| name: "res4b18_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b_res05" | |
| top: "res4b18_branch2b_res05" | |
| name: "bn4b18_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b_res05" | |
| top: "res4b18_branch2b_res05" | |
| name: "scale4b18_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2b_res05" | |
| bottom: "res4b18_branch2b_res05" | |
| name: "res4b18_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b_res05" | |
| top: "res4b18_branch2c_res05" | |
| name: "res4b18_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2c_res05" | |
| top: "res4b18_branch2c_res05" | |
| name: "bn4b18_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2c_res05" | |
| top: "res4b18_branch2c_res05" | |
| name: "scale4b18_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_res05" | |
| bottom: "res4b18_branch2c_res05" | |
| top: "res4b18_res05" | |
| name: "res4b18_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b18_res05" | |
| top: "res4b18_res05" | |
| name: "res4b18_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_res05" | |
| top: "res4b19_branch2a_res05" | |
| name: "res4b19_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a_res05" | |
| top: "res4b19_branch2a_res05" | |
| name: "bn4b19_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a_res05" | |
| top: "res4b19_branch2a_res05" | |
| name: "scale4b19_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2a_res05" | |
| bottom: "res4b19_branch2a_res05" | |
| name: "res4b19_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a_res05" | |
| top: "res4b19_branch2b_res05" | |
| name: "res4b19_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b_res05" | |
| top: "res4b19_branch2b_res05" | |
| name: "bn4b19_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b_res05" | |
| top: "res4b19_branch2b_res05" | |
| name: "scale4b19_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2b_res05" | |
| bottom: "res4b19_branch2b_res05" | |
| name: "res4b19_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b_res05" | |
| top: "res4b19_branch2c_res05" | |
| name: "res4b19_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2c_res05" | |
| top: "res4b19_branch2c_res05" | |
| name: "bn4b19_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2c_res05" | |
| top: "res4b19_branch2c_res05" | |
| name: "scale4b19_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_res05" | |
| bottom: "res4b19_branch2c_res05" | |
| top: "res4b19_res05" | |
| name: "res4b19_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b19_res05" | |
| top: "res4b19_res05" | |
| name: "res4b19_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_res05" | |
| top: "res4b20_branch2a_res05" | |
| name: "res4b20_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a_res05" | |
| top: "res4b20_branch2a_res05" | |
| name: "bn4b20_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a_res05" | |
| top: "res4b20_branch2a_res05" | |
| name: "scale4b20_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2a_res05" | |
| bottom: "res4b20_branch2a_res05" | |
| name: "res4b20_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a_res05" | |
| top: "res4b20_branch2b_res05" | |
| name: "res4b20_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b_res05" | |
| top: "res4b20_branch2b_res05" | |
| name: "bn4b20_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b_res05" | |
| top: "res4b20_branch2b_res05" | |
| name: "scale4b20_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2b_res05" | |
| bottom: "res4b20_branch2b_res05" | |
| name: "res4b20_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b_res05" | |
| top: "res4b20_branch2c_res05" | |
| name: "res4b20_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2c_res05" | |
| top: "res4b20_branch2c_res05" | |
| name: "bn4b20_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2c_res05" | |
| top: "res4b20_branch2c_res05" | |
| name: "scale4b20_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_res05" | |
| bottom: "res4b20_branch2c_res05" | |
| top: "res4b20_res05" | |
| name: "res4b20_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b20_res05" | |
| top: "res4b20_res05" | |
| name: "res4b20_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_res05" | |
| top: "res4b21_branch2a_res05" | |
| name: "res4b21_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a_res05" | |
| top: "res4b21_branch2a_res05" | |
| name: "bn4b21_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a_res05" | |
| top: "res4b21_branch2a_res05" | |
| name: "scale4b21_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2a_res05" | |
| bottom: "res4b21_branch2a_res05" | |
| name: "res4b21_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a_res05" | |
| top: "res4b21_branch2b_res05" | |
| name: "res4b21_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b_res05" | |
| top: "res4b21_branch2b_res05" | |
| name: "bn4b21_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b_res05" | |
| top: "res4b21_branch2b_res05" | |
| name: "scale4b21_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2b_res05" | |
| bottom: "res4b21_branch2b_res05" | |
| name: "res4b21_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b_res05" | |
| top: "res4b21_branch2c_res05" | |
| name: "res4b21_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2c_res05" | |
| top: "res4b21_branch2c_res05" | |
| name: "bn4b21_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2c_res05" | |
| top: "res4b21_branch2c_res05" | |
| name: "scale4b21_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_res05" | |
| bottom: "res4b21_branch2c_res05" | |
| top: "res4b21_res05" | |
| name: "res4b21_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b21_res05" | |
| top: "res4b21_res05" | |
| name: "res4b21_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_res05" | |
| top: "res4b22_branch2a_res05" | |
| name: "res4b22_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a_res05" | |
| top: "res4b22_branch2a_res05" | |
| name: "bn4b22_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a_res05" | |
| top: "res4b22_branch2a_res05" | |
| name: "scale4b22_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2a_res05" | |
| bottom: "res4b22_branch2a_res05" | |
| name: "res4b22_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a_res05" | |
| top: "res4b22_branch2b_res05" | |
| name: "res4b22_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b_res05" | |
| top: "res4b22_branch2b_res05" | |
| name: "bn4b22_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b_res05" | |
| top: "res4b22_branch2b_res05" | |
| name: "scale4b22_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2b_res05" | |
| bottom: "res4b22_branch2b_res05" | |
| name: "res4b22_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b_res05" | |
| top: "res4b22_branch2c_res05" | |
| name: "res4b22_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2c_res05" | |
| top: "res4b22_branch2c_res05" | |
| name: "bn4b22_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2c_res05" | |
| top: "res4b22_branch2c_res05" | |
| name: "scale4b22_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_res05" | |
| bottom: "res4b22_branch2c_res05" | |
| top: "res4b22_res05" | |
| name: "res4b22_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b22_res05" | |
| top: "res4b22_res05" | |
| name: "res4b22_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_res05" | |
| top: "res5a_branch1_res05" | |
| name: "res5a_branch1_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_res05" | |
| top: "res5a_branch1_res05" | |
| name: "bn5a_branch1_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_res05" | |
| top: "res5a_branch1_res05" | |
| name: "scale5a_branch1_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_res05" | |
| top: "res5a_branch2a_res05" | |
| name: "res5a_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_res05" | |
| top: "res5a_branch2a_res05" | |
| name: "bn5a_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_res05" | |
| top: "res5a_branch2a_res05" | |
| name: "scale5a_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2a_res05" | |
| bottom: "res5a_branch2a_res05" | |
| name: "res5a_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_res05" | |
| top: "res5a_branch2b_res05" | |
| name: "res5a_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_res05" | |
| top: "res5a_branch2b_res05" | |
| name: "bn5a_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_res05" | |
| top: "res5a_branch2b_res05" | |
| name: "scale5a_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2b_res05" | |
| bottom: "res5a_branch2b_res05" | |
| name: "res5a_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_res05" | |
| top: "res5a_branch2c_res05" | |
| name: "res5a_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c_res05" | |
| top: "res5a_branch2c_res05" | |
| name: "bn5a_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c_res05" | |
| top: "res5a_branch2c_res05" | |
| name: "scale5a_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_res05" | |
| bottom: "res5a_branch2c_res05" | |
| top: "res5a_res05" | |
| name: "res5a_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5a_res05" | |
| top: "res5a_res05" | |
| name: "res5a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_res05" | |
| top: "res5b_branch2a_res05" | |
| name: "res5b_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_res05" | |
| top: "res5b_branch2a_res05" | |
| name: "bn5b_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_res05" | |
| top: "res5b_branch2a_res05" | |
| name: "scale5b_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2a_res05" | |
| bottom: "res5b_branch2a_res05" | |
| name: "res5b_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_res05" | |
| top: "res5b_branch2b_res05" | |
| name: "res5b_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_res05" | |
| top: "res5b_branch2b_res05" | |
| name: "bn5b_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_res05" | |
| top: "res5b_branch2b_res05" | |
| name: "scale5b_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2b_res05" | |
| bottom: "res5b_branch2b_res05" | |
| name: "res5b_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_res05" | |
| top: "res5b_branch2c_res05" | |
| name: "res5b_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c_res05" | |
| top: "res5b_branch2c_res05" | |
| name: "bn5b_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c_res05" | |
| top: "res5b_branch2c_res05" | |
| name: "scale5b_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_res05" | |
| bottom: "res5b_branch2c_res05" | |
| top: "res5b_res05" | |
| name: "res5b_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5b_res05" | |
| top: "res5b_res05" | |
| name: "res5b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_res05" | |
| top: "res5c_branch2a_res05" | |
| name: "res5c_branch2a_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_res05" | |
| top: "res5c_branch2a_res05" | |
| name: "bn5c_branch2a_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_res05" | |
| top: "res5c_branch2a_res05" | |
| name: "scale5c_branch2a_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2a_res05" | |
| bottom: "res5c_branch2a_res05" | |
| name: "res5c_branch2a_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_res05" | |
| top: "res5c_branch2b_res05" | |
| name: "res5c_branch2b_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_res05" | |
| top: "res5c_branch2b_res05" | |
| name: "bn5c_branch2b_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_res05" | |
| top: "res5c_branch2b_res05" | |
| name: "scale5c_branch2b_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2b_res05" | |
| bottom: "res5c_branch2b_res05" | |
| name: "res5c_branch2b_relu_res05" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_res05" | |
| top: "res5c_branch2c_res05" | |
| name: "res5c_branch2c_res05" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c_res05" | |
| top: "res5c_branch2c_res05" | |
| name: "bn5c_branch2c_res05" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c_res05" | |
| top: "res5c_branch2c_res05" | |
| name: "scale5c_branch2c_res05" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_res05" | |
| bottom: "res5c_branch2c_res05" | |
| top: "res5c_res05" | |
| name: "res5c_res05" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5c_res05" | |
| top: "res5c_res05" | |
| name: "res5c_relu_res05" | |
| type: "ReLU" | |
| } | |
| ###################### resolution 3/4 ##################### | |
| layer { | |
| bottom: "data_res075" | |
| top: "conv1_res075" | |
| name: "conv1_res075" | |
| type: "Convolution" | |
| param { | |
| name: "conv1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 7 | |
| pad: 3 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_res075" | |
| top: "conv1_res075" | |
| name: "bn_conv1_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn_conv1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn_conv1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn_conv1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_res075" | |
| top: "conv1_res075" | |
| name: "scale_conv1_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale_conv1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale_conv1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "conv1_res075" | |
| bottom: "conv1_res075" | |
| name: "conv1_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "conv1_res075" | |
| top: "pool1_res075" | |
| name: "pool1_res075" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pad: 1 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "pool1_res075" | |
| top: "res2a_branch1_res075" | |
| name: "res2a_branch1_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1_res075" | |
| top: "res2a_branch1_res075" | |
| name: "bn2a_branch1_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1_res075" | |
| top: "res2a_branch1_res075" | |
| name: "scale2a_branch1_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "pool1_res075" | |
| top: "res2a_branch2a_res075" | |
| name: "res2a_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a_res075" | |
| top: "res2a_branch2a_res075" | |
| name: "bn2a_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a_res075" | |
| top: "res2a_branch2a_res075" | |
| name: "scale2a_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2a_res075" | |
| bottom: "res2a_branch2a_res075" | |
| name: "res2a_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2a_res075" | |
| top: "res2a_branch2b_res075" | |
| name: "res2a_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b_res075" | |
| top: "res2a_branch2b_res075" | |
| name: "bn2a_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b_res075" | |
| top: "res2a_branch2b_res075" | |
| name: "scale2a_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2b_res075" | |
| bottom: "res2a_branch2b_res075" | |
| name: "res2a_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2b_res075" | |
| top: "res2a_branch2c_res075" | |
| name: "res2a_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c_res075" | |
| top: "res2a_branch2c_res075" | |
| name: "bn2a_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c_res075" | |
| top: "res2a_branch2c_res075" | |
| name: "scale2a_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1_res075" | |
| bottom: "res2a_branch2c_res075" | |
| top: "res2a_res075" | |
| name: "res2a_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2a_res075" | |
| top: "res2a_res075" | |
| name: "res2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_res075" | |
| top: "res2b_branch2a_res075" | |
| name: "res2b_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a_res075" | |
| top: "res2b_branch2a_res075" | |
| name: "bn2b_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a_res075" | |
| top: "res2b_branch2a_res075" | |
| name: "scale2b_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2a_res075" | |
| bottom: "res2b_branch2a_res075" | |
| name: "res2b_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2a_res075" | |
| top: "res2b_branch2b_res075" | |
| name: "res2b_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b_res075" | |
| top: "res2b_branch2b_res075" | |
| name: "bn2b_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b_res075" | |
| top: "res2b_branch2b_res075" | |
| name: "scale2b_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2b_res075" | |
| bottom: "res2b_branch2b_res075" | |
| name: "res2b_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2b_res075" | |
| top: "res2b_branch2c_res075" | |
| name: "res2b_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2b_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c_res075" | |
| top: "res2b_branch2c_res075" | |
| name: "bn2b_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2b_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c_res075" | |
| top: "res2b_branch2c_res075" | |
| name: "scale2b_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_res075" | |
| bottom: "res2b_branch2c_res075" | |
| top: "res2b_res075" | |
| name: "res2b_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2b_res075" | |
| top: "res2b_res075" | |
| name: "res2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_res075" | |
| top: "res2c_branch2a_res075" | |
| name: "res2c_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a_res075" | |
| top: "res2c_branch2a_res075" | |
| name: "bn2c_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a_res075" | |
| top: "res2c_branch2a_res075" | |
| name: "scale2c_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2a_res075" | |
| bottom: "res2c_branch2a_res075" | |
| name: "res2c_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2a_res075" | |
| top: "res2c_branch2b_res075" | |
| name: "res2c_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b_res075" | |
| top: "res2c_branch2b_res075" | |
| name: "bn2c_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b_res075" | |
| top: "res2c_branch2b_res075" | |
| name: "scale2c_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2b_res075" | |
| bottom: "res2c_branch2b_res075" | |
| name: "res2c_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2b_res075" | |
| top: "res2c_branch2c_res075" | |
| name: "res2c_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res2c_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c_res075" | |
| top: "res2c_branch2c_res075" | |
| name: "bn2c_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn2c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn2c_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c_res075" | |
| top: "res2c_branch2c_res075" | |
| name: "scale2c_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale2c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale2c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_res075" | |
| bottom: "res2c_branch2c_res075" | |
| top: "res2c_res075" | |
| name: "res2c_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2c_res075" | |
| top: "res2c_res075" | |
| name: "res2c_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_res075" | |
| top: "res3a_branch1_res075" | |
| name: "res3a_branch1_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1_res075" | |
| top: "res3a_branch1_res075" | |
| name: "bn3a_branch1_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1_res075" | |
| top: "res3a_branch1_res075" | |
| name: "scale3a_branch1_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_res075" | |
| top: "res3a_branch2a_res075" | |
| name: "res3a_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a_res075" | |
| top: "res3a_branch2a_res075" | |
| name: "bn3a_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a_res075" | |
| top: "res3a_branch2a_res075" | |
| name: "scale3a_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2a_res075" | |
| bottom: "res3a_branch2a_res075" | |
| name: "res3a_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2a_res075" | |
| top: "res3a_branch2b_res075" | |
| name: "res3a_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b_res075" | |
| top: "res3a_branch2b_res075" | |
| name: "bn3a_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b_res075" | |
| top: "res3a_branch2b_res075" | |
| name: "scale3a_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2b_res075" | |
| bottom: "res3a_branch2b_res075" | |
| name: "res3a_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2b_res075" | |
| top: "res3a_branch2c_res075" | |
| name: "res3a_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c_res075" | |
| top: "res3a_branch2c_res075" | |
| name: "bn3a_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c_res075" | |
| top: "res3a_branch2c_res075" | |
| name: "scale3a_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1_res075" | |
| bottom: "res3a_branch2c_res075" | |
| top: "res3a_res075" | |
| name: "res3a_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3a_res075" | |
| top: "res3a_res075" | |
| name: "res3a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_res075" | |
| top: "res3b1_branch2a_res075" | |
| name: "res3b1_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a_res075" | |
| top: "res3b1_branch2a_res075" | |
| name: "bn3b1_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a_res075" | |
| top: "res3b1_branch2a_res075" | |
| name: "scale3b1_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2a_res075" | |
| bottom: "res3b1_branch2a_res075" | |
| name: "res3b1_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a_res075" | |
| top: "res3b1_branch2b_res075" | |
| name: "res3b1_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b_res075" | |
| top: "res3b1_branch2b_res075" | |
| name: "bn3b1_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b_res075" | |
| top: "res3b1_branch2b_res075" | |
| name: "scale3b1_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2b_res075" | |
| bottom: "res3b1_branch2b_res075" | |
| name: "res3b1_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b_res075" | |
| top: "res3b1_branch2c_res075" | |
| name: "res3b1_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b1_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2c_res075" | |
| top: "res3b1_branch2c_res075" | |
| name: "bn3b1_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b1_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2c_res075" | |
| top: "res3b1_branch2c_res075" | |
| name: "scale3b1_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_res075" | |
| bottom: "res3b1_branch2c_res075" | |
| top: "res3b1_res075" | |
| name: "res3b1_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b1_res075" | |
| top: "res3b1_res075" | |
| name: "res3b1_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_res075" | |
| top: "res3b2_branch2a_res075" | |
| name: "res3b2_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a_res075" | |
| top: "res3b2_branch2a_res075" | |
| name: "bn3b2_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a_res075" | |
| top: "res3b2_branch2a_res075" | |
| name: "scale3b2_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2a_res075" | |
| bottom: "res3b2_branch2a_res075" | |
| name: "res3b2_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a_res075" | |
| top: "res3b2_branch2b_res075" | |
| name: "res3b2_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b_res075" | |
| top: "res3b2_branch2b_res075" | |
| name: "bn3b2_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b_res075" | |
| top: "res3b2_branch2b_res075" | |
| name: "scale3b2_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2b_res075" | |
| bottom: "res3b2_branch2b_res075" | |
| name: "res3b2_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b_res075" | |
| top: "res3b2_branch2c_res075" | |
| name: "res3b2_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b2_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2c_res075" | |
| top: "res3b2_branch2c_res075" | |
| name: "bn3b2_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b2_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2c_res075" | |
| top: "res3b2_branch2c_res075" | |
| name: "scale3b2_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_res075" | |
| bottom: "res3b2_branch2c_res075" | |
| top: "res3b2_res075" | |
| name: "res3b2_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b2_res075" | |
| top: "res3b2_res075" | |
| name: "res3b2_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_res075" | |
| top: "res3b3_branch2a_res075" | |
| name: "res3b3_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a_res075" | |
| top: "res3b3_branch2a_res075" | |
| name: "bn3b3_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a_res075" | |
| top: "res3b3_branch2a_res075" | |
| name: "scale3b3_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2a_res075" | |
| bottom: "res3b3_branch2a_res075" | |
| name: "res3b3_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a_res075" | |
| top: "res3b3_branch2b_res075" | |
| name: "res3b3_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b_res075" | |
| top: "res3b3_branch2b_res075" | |
| name: "bn3b3_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b_res075" | |
| top: "res3b3_branch2b_res075" | |
| name: "scale3b3_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2b_res075" | |
| bottom: "res3b3_branch2b_res075" | |
| name: "res3b3_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b_res075" | |
| top: "res3b3_branch2c_res075" | |
| name: "res3b3_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res3b3_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2c_res075" | |
| top: "res3b3_branch2c_res075" | |
| name: "bn3b3_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn3b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn3b3_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2c_res075" | |
| top: "res3b3_branch2c_res075" | |
| name: "scale3b3_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale3b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale3b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_res075" | |
| bottom: "res3b3_branch2c_res075" | |
| top: "res3b3_res075" | |
| name: "res3b3_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b3_res075" | |
| top: "res3b3_res075" | |
| name: "res3b3_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_res075" | |
| top: "res4a_branch1_res075" | |
| name: "res4a_branch1_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1_res075" | |
| top: "res4a_branch1_res075" | |
| name: "bn4a_branch1_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1_res075" | |
| top: "res4a_branch1_res075" | |
| name: "scale4a_branch1_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_res075" | |
| top: "res4a_branch2a_res075" | |
| name: "res4a_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a_res075" | |
| top: "res4a_branch2a_res075" | |
| name: "bn4a_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a_res075" | |
| top: "res4a_branch2a_res075" | |
| name: "scale4a_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2a_res075" | |
| bottom: "res4a_branch2a_res075" | |
| name: "res4a_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2a_res075" | |
| top: "res4a_branch2b_res075" | |
| name: "res4a_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b_res075" | |
| top: "res4a_branch2b_res075" | |
| name: "bn4a_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b_res075" | |
| top: "res4a_branch2b_res075" | |
| name: "scale4a_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2b_res075" | |
| bottom: "res4a_branch2b_res075" | |
| name: "res4a_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2b_res075" | |
| top: "res4a_branch2c_res075" | |
| name: "res4a_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c_res075" | |
| top: "res4a_branch2c_res075" | |
| name: "bn4a_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c_res075" | |
| top: "res4a_branch2c_res075" | |
| name: "scale4a_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1_res075" | |
| bottom: "res4a_branch2c_res075" | |
| top: "res4a_res075" | |
| name: "res4a_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4a_res075" | |
| top: "res4a_res075" | |
| name: "res4a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_res075" | |
| top: "res4b1_branch2a_res075" | |
| name: "res4b1_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a_res075" | |
| top: "res4b1_branch2a_res075" | |
| name: "bn4b1_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a_res075" | |
| top: "res4b1_branch2a_res075" | |
| name: "scale4b1_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2a_res075" | |
| bottom: "res4b1_branch2a_res075" | |
| name: "res4b1_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a_res075" | |
| top: "res4b1_branch2b_res075" | |
| name: "res4b1_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b_res075" | |
| top: "res4b1_branch2b_res075" | |
| name: "bn4b1_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b_res075" | |
| top: "res4b1_branch2b_res075" | |
| name: "scale4b1_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2b_res075" | |
| bottom: "res4b1_branch2b_res075" | |
| name: "res4b1_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b_res075" | |
| top: "res4b1_branch2c_res075" | |
| name: "res4b1_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b1_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2c_res075" | |
| top: "res4b1_branch2c_res075" | |
| name: "bn4b1_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b1_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2c_res075" | |
| top: "res4b1_branch2c_res075" | |
| name: "scale4b1_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b1_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b1_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_res075" | |
| bottom: "res4b1_branch2c_res075" | |
| top: "res4b1_res075" | |
| name: "res4b1_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b1_res075" | |
| top: "res4b1_res075" | |
| name: "res4b1_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_res075" | |
| top: "res4b2_branch2a_res075" | |
| name: "res4b2_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a_res075" | |
| top: "res4b2_branch2a_res075" | |
| name: "bn4b2_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a_res075" | |
| top: "res4b2_branch2a_res075" | |
| name: "scale4b2_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2a_res075" | |
| bottom: "res4b2_branch2a_res075" | |
| name: "res4b2_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a_res075" | |
| top: "res4b2_branch2b_res075" | |
| name: "res4b2_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b_res075" | |
| top: "res4b2_branch2b_res075" | |
| name: "bn4b2_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b_res075" | |
| top: "res4b2_branch2b_res075" | |
| name: "scale4b2_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2b_res075" | |
| bottom: "res4b2_branch2b_res075" | |
| name: "res4b2_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b_res075" | |
| top: "res4b2_branch2c_res075" | |
| name: "res4b2_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b2_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2c_res075" | |
| top: "res4b2_branch2c_res075" | |
| name: "bn4b2_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b2_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2c_res075" | |
| top: "res4b2_branch2c_res075" | |
| name: "scale4b2_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b2_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b2_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_res075" | |
| bottom: "res4b2_branch2c_res075" | |
| top: "res4b2_res075" | |
| name: "res4b2_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b2_res075" | |
| top: "res4b2_res075" | |
| name: "res4b2_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_res075" | |
| top: "res4b3_branch2a_res075" | |
| name: "res4b3_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a_res075" | |
| top: "res4b3_branch2a_res075" | |
| name: "bn4b3_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a_res075" | |
| top: "res4b3_branch2a_res075" | |
| name: "scale4b3_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2a_res075" | |
| bottom: "res4b3_branch2a_res075" | |
| name: "res4b3_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a_res075" | |
| top: "res4b3_branch2b_res075" | |
| name: "res4b3_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b_res075" | |
| top: "res4b3_branch2b_res075" | |
| name: "bn4b3_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b_res075" | |
| top: "res4b3_branch2b_res075" | |
| name: "scale4b3_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2b_res075" | |
| bottom: "res4b3_branch2b_res075" | |
| name: "res4b3_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b_res075" | |
| top: "res4b3_branch2c_res075" | |
| name: "res4b3_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b3_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2c_res075" | |
| top: "res4b3_branch2c_res075" | |
| name: "bn4b3_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b3_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2c_res075" | |
| top: "res4b3_branch2c_res075" | |
| name: "scale4b3_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b3_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b3_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_res075" | |
| bottom: "res4b3_branch2c_res075" | |
| top: "res4b3_res075" | |
| name: "res4b3_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b3_res075" | |
| top: "res4b3_res075" | |
| name: "res4b3_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_res075" | |
| top: "res4b4_branch2a_res075" | |
| name: "res4b4_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a_res075" | |
| top: "res4b4_branch2a_res075" | |
| name: "bn4b4_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a_res075" | |
| top: "res4b4_branch2a_res075" | |
| name: "scale4b4_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2a_res075" | |
| bottom: "res4b4_branch2a_res075" | |
| name: "res4b4_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a_res075" | |
| top: "res4b4_branch2b_res075" | |
| name: "res4b4_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b_res075" | |
| top: "res4b4_branch2b_res075" | |
| name: "bn4b4_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b_res075" | |
| top: "res4b4_branch2b_res075" | |
| name: "scale4b4_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2b_res075" | |
| bottom: "res4b4_branch2b_res075" | |
| name: "res4b4_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b_res075" | |
| top: "res4b4_branch2c_res075" | |
| name: "res4b4_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b4_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2c_res075" | |
| top: "res4b4_branch2c_res075" | |
| name: "bn4b4_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b4_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b4_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2c_res075" | |
| top: "res4b4_branch2c_res075" | |
| name: "scale4b4_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b4_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b4_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_res075" | |
| bottom: "res4b4_branch2c_res075" | |
| top: "res4b4_res075" | |
| name: "res4b4_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b4_res075" | |
| top: "res4b4_res075" | |
| name: "res4b4_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_res075" | |
| top: "res4b5_branch2a_res075" | |
| name: "res4b5_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a_res075" | |
| top: "res4b5_branch2a_res075" | |
| name: "bn4b5_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a_res075" | |
| top: "res4b5_branch2a_res075" | |
| name: "scale4b5_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2a_res075" | |
| bottom: "res4b5_branch2a_res075" | |
| name: "res4b5_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a_res075" | |
| top: "res4b5_branch2b_res075" | |
| name: "res4b5_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b_res075" | |
| top: "res4b5_branch2b_res075" | |
| name: "bn4b5_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b_res075" | |
| top: "res4b5_branch2b_res075" | |
| name: "scale4b5_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2b_res075" | |
| bottom: "res4b5_branch2b_res075" | |
| name: "res4b5_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b_res075" | |
| top: "res4b5_branch2c_res075" | |
| name: "res4b5_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b5_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2c_res075" | |
| top: "res4b5_branch2c_res075" | |
| name: "bn4b5_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b5_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b5_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2c_res075" | |
| top: "res4b5_branch2c_res075" | |
| name: "scale4b5_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b5_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b5_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_res075" | |
| bottom: "res4b5_branch2c_res075" | |
| top: "res4b5_res075" | |
| name: "res4b5_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b5_res075" | |
| top: "res4b5_res075" | |
| name: "res4b5_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_res075" | |
| top: "res4b6_branch2a_res075" | |
| name: "res4b6_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a_res075" | |
| top: "res4b6_branch2a_res075" | |
| name: "bn4b6_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a_res075" | |
| top: "res4b6_branch2a_res075" | |
| name: "scale4b6_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2a_res075" | |
| bottom: "res4b6_branch2a_res075" | |
| name: "res4b6_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a_res075" | |
| top: "res4b6_branch2b_res075" | |
| name: "res4b6_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b_res075" | |
| top: "res4b6_branch2b_res075" | |
| name: "bn4b6_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b_res075" | |
| top: "res4b6_branch2b_res075" | |
| name: "scale4b6_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2b_res075" | |
| bottom: "res4b6_branch2b_res075" | |
| name: "res4b6_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b_res075" | |
| top: "res4b6_branch2c_res075" | |
| name: "res4b6_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b6_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2c_res075" | |
| top: "res4b6_branch2c_res075" | |
| name: "bn4b6_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b6_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b6_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2c_res075" | |
| top: "res4b6_branch2c_res075" | |
| name: "scale4b6_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b6_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b6_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_res075" | |
| bottom: "res4b6_branch2c_res075" | |
| top: "res4b6_res075" | |
| name: "res4b6_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b6_res075" | |
| top: "res4b6_res075" | |
| name: "res4b6_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_res075" | |
| top: "res4b7_branch2a_res075" | |
| name: "res4b7_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a_res075" | |
| top: "res4b7_branch2a_res075" | |
| name: "bn4b7_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a_res075" | |
| top: "res4b7_branch2a_res075" | |
| name: "scale4b7_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2a_res075" | |
| bottom: "res4b7_branch2a_res075" | |
| name: "res4b7_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a_res075" | |
| top: "res4b7_branch2b_res075" | |
| name: "res4b7_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b_res075" | |
| top: "res4b7_branch2b_res075" | |
| name: "bn4b7_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b_res075" | |
| top: "res4b7_branch2b_res075" | |
| name: "scale4b7_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2b_res075" | |
| bottom: "res4b7_branch2b_res075" | |
| name: "res4b7_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b_res075" | |
| top: "res4b7_branch2c_res075" | |
| name: "res4b7_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b7_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2c_res075" | |
| top: "res4b7_branch2c_res075" | |
| name: "bn4b7_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b7_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b7_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2c_res075" | |
| top: "res4b7_branch2c_res075" | |
| name: "scale4b7_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b7_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b7_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_res075" | |
| bottom: "res4b7_branch2c_res075" | |
| top: "res4b7_res075" | |
| name: "res4b7_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b7_res075" | |
| top: "res4b7_res075" | |
| name: "res4b7_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_res075" | |
| top: "res4b8_branch2a_res075" | |
| name: "res4b8_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a_res075" | |
| top: "res4b8_branch2a_res075" | |
| name: "bn4b8_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a_res075" | |
| top: "res4b8_branch2a_res075" | |
| name: "scale4b8_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2a_res075" | |
| bottom: "res4b8_branch2a_res075" | |
| name: "res4b8_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a_res075" | |
| top: "res4b8_branch2b_res075" | |
| name: "res4b8_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b_res075" | |
| top: "res4b8_branch2b_res075" | |
| name: "bn4b8_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b_res075" | |
| top: "res4b8_branch2b_res075" | |
| name: "scale4b8_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2b_res075" | |
| bottom: "res4b8_branch2b_res075" | |
| name: "res4b8_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b_res075" | |
| top: "res4b8_branch2c_res075" | |
| name: "res4b8_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b8_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2c_res075" | |
| top: "res4b8_branch2c_res075" | |
| name: "bn4b8_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b8_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b8_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2c_res075" | |
| top: "res4b8_branch2c_res075" | |
| name: "scale4b8_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b8_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b8_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_res075" | |
| bottom: "res4b8_branch2c_res075" | |
| top: "res4b8_res075" | |
| name: "res4b8_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b8_res075" | |
| top: "res4b8_res075" | |
| name: "res4b8_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_res075" | |
| top: "res4b9_branch2a_res075" | |
| name: "res4b9_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a_res075" | |
| top: "res4b9_branch2a_res075" | |
| name: "bn4b9_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a_res075" | |
| top: "res4b9_branch2a_res075" | |
| name: "scale4b9_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2a_res075" | |
| bottom: "res4b9_branch2a_res075" | |
| name: "res4b9_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a_res075" | |
| top: "res4b9_branch2b_res075" | |
| name: "res4b9_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b_res075" | |
| top: "res4b9_branch2b_res075" | |
| name: "bn4b9_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b_res075" | |
| top: "res4b9_branch2b_res075" | |
| name: "scale4b9_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2b_res075" | |
| bottom: "res4b9_branch2b_res075" | |
| name: "res4b9_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b_res075" | |
| top: "res4b9_branch2c_res075" | |
| name: "res4b9_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b9_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2c_res075" | |
| top: "res4b9_branch2c_res075" | |
| name: "bn4b9_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b9_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b9_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2c_res075" | |
| top: "res4b9_branch2c_res075" | |
| name: "scale4b9_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b9_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b9_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_res075" | |
| bottom: "res4b9_branch2c_res075" | |
| top: "res4b9_res075" | |
| name: "res4b9_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b9_res075" | |
| top: "res4b9_res075" | |
| name: "res4b9_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_res075" | |
| top: "res4b10_branch2a_res075" | |
| name: "res4b10_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a_res075" | |
| top: "res4b10_branch2a_res075" | |
| name: "bn4b10_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a_res075" | |
| top: "res4b10_branch2a_res075" | |
| name: "scale4b10_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2a_res075" | |
| bottom: "res4b10_branch2a_res075" | |
| name: "res4b10_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a_res075" | |
| top: "res4b10_branch2b_res075" | |
| name: "res4b10_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b_res075" | |
| top: "res4b10_branch2b_res075" | |
| name: "bn4b10_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b_res075" | |
| top: "res4b10_branch2b_res075" | |
| name: "scale4b10_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2b_res075" | |
| bottom: "res4b10_branch2b_res075" | |
| name: "res4b10_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b_res075" | |
| top: "res4b10_branch2c_res075" | |
| name: "res4b10_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b10_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2c_res075" | |
| top: "res4b10_branch2c_res075" | |
| name: "bn4b10_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b10_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b10_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2c_res075" | |
| top: "res4b10_branch2c_res075" | |
| name: "scale4b10_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b10_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b10_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_res075" | |
| bottom: "res4b10_branch2c_res075" | |
| top: "res4b10_res075" | |
| name: "res4b10_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b10_res075" | |
| top: "res4b10_res075" | |
| name: "res4b10_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_res075" | |
| top: "res4b11_branch2a_res075" | |
| name: "res4b11_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a_res075" | |
| top: "res4b11_branch2a_res075" | |
| name: "bn4b11_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a_res075" | |
| top: "res4b11_branch2a_res075" | |
| name: "scale4b11_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2a_res075" | |
| bottom: "res4b11_branch2a_res075" | |
| name: "res4b11_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a_res075" | |
| top: "res4b11_branch2b_res075" | |
| name: "res4b11_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b_res075" | |
| top: "res4b11_branch2b_res075" | |
| name: "bn4b11_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b_res075" | |
| top: "res4b11_branch2b_res075" | |
| name: "scale4b11_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2b_res075" | |
| bottom: "res4b11_branch2b_res075" | |
| name: "res4b11_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b_res075" | |
| top: "res4b11_branch2c_res075" | |
| name: "res4b11_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b11_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2c_res075" | |
| top: "res4b11_branch2c_res075" | |
| name: "bn4b11_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b11_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b11_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2c_res075" | |
| top: "res4b11_branch2c_res075" | |
| name: "scale4b11_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b11_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b11_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_res075" | |
| bottom: "res4b11_branch2c_res075" | |
| top: "res4b11_res075" | |
| name: "res4b11_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b11_res075" | |
| top: "res4b11_res075" | |
| name: "res4b11_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_res075" | |
| top: "res4b12_branch2a_res075" | |
| name: "res4b12_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a_res075" | |
| top: "res4b12_branch2a_res075" | |
| name: "bn4b12_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a_res075" | |
| top: "res4b12_branch2a_res075" | |
| name: "scale4b12_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2a_res075" | |
| bottom: "res4b12_branch2a_res075" | |
| name: "res4b12_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a_res075" | |
| top: "res4b12_branch2b_res075" | |
| name: "res4b12_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b_res075" | |
| top: "res4b12_branch2b_res075" | |
| name: "bn4b12_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b_res075" | |
| top: "res4b12_branch2b_res075" | |
| name: "scale4b12_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2b_res075" | |
| bottom: "res4b12_branch2b_res075" | |
| name: "res4b12_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b_res075" | |
| top: "res4b12_branch2c_res075" | |
| name: "res4b12_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b12_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2c_res075" | |
| top: "res4b12_branch2c_res075" | |
| name: "bn4b12_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b12_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b12_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2c_res075" | |
| top: "res4b12_branch2c_res075" | |
| name: "scale4b12_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b12_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b12_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_res075" | |
| bottom: "res4b12_branch2c_res075" | |
| top: "res4b12_res075" | |
| name: "res4b12_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b12_res075" | |
| top: "res4b12_res075" | |
| name: "res4b12_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_res075" | |
| top: "res4b13_branch2a_res075" | |
| name: "res4b13_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a_res075" | |
| top: "res4b13_branch2a_res075" | |
| name: "bn4b13_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a_res075" | |
| top: "res4b13_branch2a_res075" | |
| name: "scale4b13_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2a_res075" | |
| bottom: "res4b13_branch2a_res075" | |
| name: "res4b13_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a_res075" | |
| top: "res4b13_branch2b_res075" | |
| name: "res4b13_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b_res075" | |
| top: "res4b13_branch2b_res075" | |
| name: "bn4b13_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b_res075" | |
| top: "res4b13_branch2b_res075" | |
| name: "scale4b13_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2b_res075" | |
| bottom: "res4b13_branch2b_res075" | |
| name: "res4b13_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b_res075" | |
| top: "res4b13_branch2c_res075" | |
| name: "res4b13_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b13_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2c_res075" | |
| top: "res4b13_branch2c_res075" | |
| name: "bn4b13_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b13_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b13_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2c_res075" | |
| top: "res4b13_branch2c_res075" | |
| name: "scale4b13_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b13_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b13_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_res075" | |
| bottom: "res4b13_branch2c_res075" | |
| top: "res4b13_res075" | |
| name: "res4b13_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b13_res075" | |
| top: "res4b13_res075" | |
| name: "res4b13_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_res075" | |
| top: "res4b14_branch2a_res075" | |
| name: "res4b14_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a_res075" | |
| top: "res4b14_branch2a_res075" | |
| name: "bn4b14_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a_res075" | |
| top: "res4b14_branch2a_res075" | |
| name: "scale4b14_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2a_res075" | |
| bottom: "res4b14_branch2a_res075" | |
| name: "res4b14_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a_res075" | |
| top: "res4b14_branch2b_res075" | |
| name: "res4b14_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b_res075" | |
| top: "res4b14_branch2b_res075" | |
| name: "bn4b14_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b_res075" | |
| top: "res4b14_branch2b_res075" | |
| name: "scale4b14_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2b_res075" | |
| bottom: "res4b14_branch2b_res075" | |
| name: "res4b14_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b_res075" | |
| top: "res4b14_branch2c_res075" | |
| name: "res4b14_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b14_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2c_res075" | |
| top: "res4b14_branch2c_res075" | |
| name: "bn4b14_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b14_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b14_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2c_res075" | |
| top: "res4b14_branch2c_res075" | |
| name: "scale4b14_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b14_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b14_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_res075" | |
| bottom: "res4b14_branch2c_res075" | |
| top: "res4b14_res075" | |
| name: "res4b14_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b14_res075" | |
| top: "res4b14_res075" | |
| name: "res4b14_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_res075" | |
| top: "res4b15_branch2a_res075" | |
| name: "res4b15_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a_res075" | |
| top: "res4b15_branch2a_res075" | |
| name: "bn4b15_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a_res075" | |
| top: "res4b15_branch2a_res075" | |
| name: "scale4b15_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2a_res075" | |
| bottom: "res4b15_branch2a_res075" | |
| name: "res4b15_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a_res075" | |
| top: "res4b15_branch2b_res075" | |
| name: "res4b15_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b_res075" | |
| top: "res4b15_branch2b_res075" | |
| name: "bn4b15_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b_res075" | |
| top: "res4b15_branch2b_res075" | |
| name: "scale4b15_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2b_res075" | |
| bottom: "res4b15_branch2b_res075" | |
| name: "res4b15_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b_res075" | |
| top: "res4b15_branch2c_res075" | |
| name: "res4b15_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b15_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2c_res075" | |
| top: "res4b15_branch2c_res075" | |
| name: "bn4b15_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b15_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b15_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2c_res075" | |
| top: "res4b15_branch2c_res075" | |
| name: "scale4b15_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b15_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b15_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_res075" | |
| bottom: "res4b15_branch2c_res075" | |
| top: "res4b15_res075" | |
| name: "res4b15_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b15_res075" | |
| top: "res4b15_res075" | |
| name: "res4b15_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_res075" | |
| top: "res4b16_branch2a_res075" | |
| name: "res4b16_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a_res075" | |
| top: "res4b16_branch2a_res075" | |
| name: "bn4b16_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a_res075" | |
| top: "res4b16_branch2a_res075" | |
| name: "scale4b16_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2a_res075" | |
| bottom: "res4b16_branch2a_res075" | |
| name: "res4b16_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a_res075" | |
| top: "res4b16_branch2b_res075" | |
| name: "res4b16_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b_res075" | |
| top: "res4b16_branch2b_res075" | |
| name: "bn4b16_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b_res075" | |
| top: "res4b16_branch2b_res075" | |
| name: "scale4b16_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2b_res075" | |
| bottom: "res4b16_branch2b_res075" | |
| name: "res4b16_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b_res075" | |
| top: "res4b16_branch2c_res075" | |
| name: "res4b16_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b16_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2c_res075" | |
| top: "res4b16_branch2c_res075" | |
| name: "bn4b16_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b16_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b16_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2c_res075" | |
| top: "res4b16_branch2c_res075" | |
| name: "scale4b16_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b16_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b16_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_res075" | |
| bottom: "res4b16_branch2c_res075" | |
| top: "res4b16_res075" | |
| name: "res4b16_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b16_res075" | |
| top: "res4b16_res075" | |
| name: "res4b16_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_res075" | |
| top: "res4b17_branch2a_res075" | |
| name: "res4b17_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a_res075" | |
| top: "res4b17_branch2a_res075" | |
| name: "bn4b17_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a_res075" | |
| top: "res4b17_branch2a_res075" | |
| name: "scale4b17_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2a_res075" | |
| bottom: "res4b17_branch2a_res075" | |
| name: "res4b17_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a_res075" | |
| top: "res4b17_branch2b_res075" | |
| name: "res4b17_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b_res075" | |
| top: "res4b17_branch2b_res075" | |
| name: "bn4b17_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b_res075" | |
| top: "res4b17_branch2b_res075" | |
| name: "scale4b17_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2b_res075" | |
| bottom: "res4b17_branch2b_res075" | |
| name: "res4b17_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b_res075" | |
| top: "res4b17_branch2c_res075" | |
| name: "res4b17_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b17_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2c_res075" | |
| top: "res4b17_branch2c_res075" | |
| name: "bn4b17_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b17_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b17_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2c_res075" | |
| top: "res4b17_branch2c_res075" | |
| name: "scale4b17_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b17_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b17_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_res075" | |
| bottom: "res4b17_branch2c_res075" | |
| top: "res4b17_res075" | |
| name: "res4b17_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b17_res075" | |
| top: "res4b17_res075" | |
| name: "res4b17_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_res075" | |
| top: "res4b18_branch2a_res075" | |
| name: "res4b18_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a_res075" | |
| top: "res4b18_branch2a_res075" | |
| name: "bn4b18_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a_res075" | |
| top: "res4b18_branch2a_res075" | |
| name: "scale4b18_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2a_res075" | |
| bottom: "res4b18_branch2a_res075" | |
| name: "res4b18_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a_res075" | |
| top: "res4b18_branch2b_res075" | |
| name: "res4b18_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b_res075" | |
| top: "res4b18_branch2b_res075" | |
| name: "bn4b18_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b_res075" | |
| top: "res4b18_branch2b_res075" | |
| name: "scale4b18_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2b_res075" | |
| bottom: "res4b18_branch2b_res075" | |
| name: "res4b18_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b_res075" | |
| top: "res4b18_branch2c_res075" | |
| name: "res4b18_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b18_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2c_res075" | |
| top: "res4b18_branch2c_res075" | |
| name: "bn4b18_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b18_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b18_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2c_res075" | |
| top: "res4b18_branch2c_res075" | |
| name: "scale4b18_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b18_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b18_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_res075" | |
| bottom: "res4b18_branch2c_res075" | |
| top: "res4b18_res075" | |
| name: "res4b18_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b18_res075" | |
| top: "res4b18_res075" | |
| name: "res4b18_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_res075" | |
| top: "res4b19_branch2a_res075" | |
| name: "res4b19_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a_res075" | |
| top: "res4b19_branch2a_res075" | |
| name: "bn4b19_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a_res075" | |
| top: "res4b19_branch2a_res075" | |
| name: "scale4b19_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2a_res075" | |
| bottom: "res4b19_branch2a_res075" | |
| name: "res4b19_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a_res075" | |
| top: "res4b19_branch2b_res075" | |
| name: "res4b19_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b_res075" | |
| top: "res4b19_branch2b_res075" | |
| name: "bn4b19_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b_res075" | |
| top: "res4b19_branch2b_res075" | |
| name: "scale4b19_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2b_res075" | |
| bottom: "res4b19_branch2b_res075" | |
| name: "res4b19_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b_res075" | |
| top: "res4b19_branch2c_res075" | |
| name: "res4b19_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b19_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2c_res075" | |
| top: "res4b19_branch2c_res075" | |
| name: "bn4b19_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b19_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b19_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2c_res075" | |
| top: "res4b19_branch2c_res075" | |
| name: "scale4b19_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b19_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b19_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_res075" | |
| bottom: "res4b19_branch2c_res075" | |
| top: "res4b19_res075" | |
| name: "res4b19_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b19_res075" | |
| top: "res4b19_res075" | |
| name: "res4b19_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_res075" | |
| top: "res4b20_branch2a_res075" | |
| name: "res4b20_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a_res075" | |
| top: "res4b20_branch2a_res075" | |
| name: "bn4b20_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a_res075" | |
| top: "res4b20_branch2a_res075" | |
| name: "scale4b20_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2a_res075" | |
| bottom: "res4b20_branch2a_res075" | |
| name: "res4b20_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a_res075" | |
| top: "res4b20_branch2b_res075" | |
| name: "res4b20_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b_res075" | |
| top: "res4b20_branch2b_res075" | |
| name: "bn4b20_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b_res075" | |
| top: "res4b20_branch2b_res075" | |
| name: "scale4b20_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2b_res075" | |
| bottom: "res4b20_branch2b_res075" | |
| name: "res4b20_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b_res075" | |
| top: "res4b20_branch2c_res075" | |
| name: "res4b20_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b20_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2c_res075" | |
| top: "res4b20_branch2c_res075" | |
| name: "bn4b20_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b20_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b20_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2c_res075" | |
| top: "res4b20_branch2c_res075" | |
| name: "scale4b20_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b20_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b20_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_res075" | |
| bottom: "res4b20_branch2c_res075" | |
| top: "res4b20_res075" | |
| name: "res4b20_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b20_res075" | |
| top: "res4b20_res075" | |
| name: "res4b20_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_res075" | |
| top: "res4b21_branch2a_res075" | |
| name: "res4b21_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a_res075" | |
| top: "res4b21_branch2a_res075" | |
| name: "bn4b21_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a_res075" | |
| top: "res4b21_branch2a_res075" | |
| name: "scale4b21_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2a_res075" | |
| bottom: "res4b21_branch2a_res075" | |
| name: "res4b21_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a_res075" | |
| top: "res4b21_branch2b_res075" | |
| name: "res4b21_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b_res075" | |
| top: "res4b21_branch2b_res075" | |
| name: "bn4b21_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b_res075" | |
| top: "res4b21_branch2b_res075" | |
| name: "scale4b21_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2b_res075" | |
| bottom: "res4b21_branch2b_res075" | |
| name: "res4b21_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b_res075" | |
| top: "res4b21_branch2c_res075" | |
| name: "res4b21_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b21_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2c_res075" | |
| top: "res4b21_branch2c_res075" | |
| name: "bn4b21_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b21_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b21_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2c_res075" | |
| top: "res4b21_branch2c_res075" | |
| name: "scale4b21_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b21_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b21_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_res075" | |
| bottom: "res4b21_branch2c_res075" | |
| top: "res4b21_res075" | |
| name: "res4b21_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b21_res075" | |
| top: "res4b21_res075" | |
| name: "res4b21_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_res075" | |
| top: "res4b22_branch2a_res075" | |
| name: "res4b22_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a_res075" | |
| top: "res4b22_branch2a_res075" | |
| name: "bn4b22_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a_res075" | |
| top: "res4b22_branch2a_res075" | |
| name: "scale4b22_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2a_res075" | |
| bottom: "res4b22_branch2a_res075" | |
| name: "res4b22_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a_res075" | |
| top: "res4b22_branch2b_res075" | |
| name: "res4b22_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 2 | |
| dilation: 2 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b_res075" | |
| top: "res4b22_branch2b_res075" | |
| name: "bn4b22_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b_res075" | |
| top: "res4b22_branch2b_res075" | |
| name: "scale4b22_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2b_res075" | |
| bottom: "res4b22_branch2b_res075" | |
| name: "res4b22_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b_res075" | |
| top: "res4b22_branch2c_res075" | |
| name: "res4b22_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res4b22_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2c_res075" | |
| top: "res4b22_branch2c_res075" | |
| name: "bn4b22_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn4b22_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn4b22_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2c_res075" | |
| top: "res4b22_branch2c_res075" | |
| name: "scale4b22_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale4b22_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale4b22_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_res075" | |
| bottom: "res4b22_branch2c_res075" | |
| top: "res4b22_res075" | |
| name: "res4b22_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b22_res075" | |
| top: "res4b22_res075" | |
| name: "res4b22_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_res075" | |
| top: "res5a_branch1_res075" | |
| name: "res5a_branch1_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch1_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_res075" | |
| top: "res5a_branch1_res075" | |
| name: "bn5a_branch1_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch1_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_res075" | |
| top: "res5a_branch1_res075" | |
| name: "scale5a_branch1_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch1_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch1_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_res075" | |
| top: "res5a_branch2a_res075" | |
| name: "res5a_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_res075" | |
| top: "res5a_branch2a_res075" | |
| name: "bn5a_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_res075" | |
| top: "res5a_branch2a_res075" | |
| name: "scale5a_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2a_res075" | |
| bottom: "res5a_branch2a_res075" | |
| name: "res5a_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_res075" | |
| top: "res5a_branch2b_res075" | |
| name: "res5a_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_res075" | |
| top: "res5a_branch2b_res075" | |
| name: "bn5a_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_res075" | |
| top: "res5a_branch2b_res075" | |
| name: "scale5a_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2b_res075" | |
| bottom: "res5a_branch2b_res075" | |
| name: "res5a_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_res075" | |
| top: "res5a_branch2c_res075" | |
| name: "res5a_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5a_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c_res075" | |
| top: "res5a_branch2c_res075" | |
| name: "bn5a_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5a_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c_res075" | |
| top: "res5a_branch2c_res075" | |
| name: "scale5a_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5a_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_res075" | |
| bottom: "res5a_branch2c_res075" | |
| top: "res5a_res075" | |
| name: "res5a_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5a_res075" | |
| top: "res5a_res075" | |
| name: "res5a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_res075" | |
| top: "res5b_branch2a_res075" | |
| name: "res5b_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_res075" | |
| top: "res5b_branch2a_res075" | |
| name: "bn5b_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_res075" | |
| top: "res5b_branch2a_res075" | |
| name: "scale5b_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2a_res075" | |
| bottom: "res5b_branch2a_res075" | |
| name: "res5b_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_res075" | |
| top: "res5b_branch2b_res075" | |
| name: "res5b_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_res075" | |
| top: "res5b_branch2b_res075" | |
| name: "bn5b_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_res075" | |
| top: "res5b_branch2b_res075" | |
| name: "scale5b_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2b_res075" | |
| bottom: "res5b_branch2b_res075" | |
| name: "res5b_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_res075" | |
| top: "res5b_branch2c_res075" | |
| name: "res5b_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5b_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c_res075" | |
| top: "res5b_branch2c_res075" | |
| name: "bn5b_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5b_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c_res075" | |
| top: "res5b_branch2c_res075" | |
| name: "scale5b_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5b_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_res075" | |
| bottom: "res5b_branch2c_res075" | |
| top: "res5b_res075" | |
| name: "res5b_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5b_res075" | |
| top: "res5b_res075" | |
| name: "res5b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_res075" | |
| top: "res5c_branch2a_res075" | |
| name: "res5c_branch2a_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2a_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_res075" | |
| top: "res5c_branch2a_res075" | |
| name: "bn5c_branch2a_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2a_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_res075" | |
| top: "res5c_branch2a_res075" | |
| name: "scale5c_branch2a_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2a_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2a_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2a_res075" | |
| bottom: "res5c_branch2a_res075" | |
| name: "res5c_branch2a_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_res075" | |
| top: "res5c_branch2b_res075" | |
| name: "res5c_branch2b_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2b_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 4 | |
| dilation: 4 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_res075" | |
| top: "res5c_branch2b_res075" | |
| name: "bn5c_branch2b_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2b_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_res075" | |
| top: "res5c_branch2b_res075" | |
| name: "scale5c_branch2b_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2b_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2b_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2b_res075" | |
| bottom: "res5c_branch2b_res075" | |
| name: "res5c_branch2b_relu_res075" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_res075" | |
| top: "res5c_branch2c_res075" | |
| name: "res5c_branch2c_res075" | |
| type: "Convolution" | |
| param { | |
| name: "res5c_branch2c_0" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c_res075" | |
| top: "res5c_branch2c_res075" | |
| name: "bn5c_branch2c_res075" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| param { | |
| name: "bn5c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "bn5c_branch2c_2" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c_res075" | |
| top: "res5c_branch2c_res075" | |
| name: "scale5c_branch2c_res075" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2c_0" | |
| lr_mult: 0 | |
| } | |
| param { | |
| name: "scale5c_branch2c_1" | |
| lr_mult: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_res075" | |
| bottom: "res5c_branch2c_res075" | |
| top: "res5c_res075" | |
| name: "res5c_res075" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5c_res075" | |
| top: "res5c_res075" | |
| name: "res5c_relu_res075" | |
| type: "ReLU" | |
| } | |
| ############################### classifiers ########################## | |
| layer { | |
| name: "fc1_c0" | |
| type: "Convolution" | |
| bottom: "res5c" | |
| top: "fc1_c0" | |
| param { | |
| name: "fc1_c0_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c0_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| pad: 6 | |
| dilation: 6 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_c1" | |
| type: "Convolution" | |
| bottom: "res5c" | |
| top: "fc1_c1" | |
| param { | |
| name: "fc1_c1_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c1_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 12 | |
| pad: 12 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_c2" | |
| type: "Convolution" | |
| bottom: "res5c" | |
| top: "fc1_c2" | |
| param { | |
| name: "fc1_c2_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c2_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 18 | |
| pad: 18 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_c3" | |
| type: "Convolution" | |
| bottom: "res5c" | |
| top: "fc1_c3" | |
| param { | |
| name: "fc1_c3_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c3_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 24 | |
| pad: 24 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ### SUM the all branches | |
| layer { | |
| bottom: "fc1_c0" | |
| bottom: "fc1_c1" | |
| bottom: "fc1_c2" | |
| bottom: "fc1_c3" | |
| top: "fc1_exp" | |
| name: "fc1_exp" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| ######################## classifier for res 0.5 ################# | |
| layer { | |
| name: "fc1_res05_c0" | |
| type: "Convolution" | |
| bottom: "res5c_res05" | |
| top: "fc1_res05_c0" | |
| param { | |
| name: "fc1_c0_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c0_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| pad: 6 | |
| dilation: 6 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_res05_c1" | |
| type: "Convolution" | |
| bottom: "res5c_res05" | |
| top: "fc1_res05_c1" | |
| param { | |
| name: "fc1_c1_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c1_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 12 | |
| pad: 12 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_res05_c2" | |
| type: "Convolution" | |
| bottom: "res5c_res05" | |
| top: "fc1_res05_c2" | |
| param { | |
| name: "fc1_c2_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c2_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 18 | |
| pad: 18 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_res05_c3" | |
| type: "Convolution" | |
| bottom: "res5c_res05" | |
| top: "fc1_res05_c3" | |
| param { | |
| name: "fc1_c3_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c3_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 24 | |
| pad: 24 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ### SUM the all branches | |
| layer { | |
| bottom: "fc1_res05_c0" | |
| bottom: "fc1_res05_c1" | |
| bottom: "fc1_res05_c2" | |
| bottom: "fc1_res05_c3" | |
| top: "fc1_res05" | |
| name: "fc1_res05" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| ################### classifier for res 0.75 ########### | |
| layer { | |
| name: "fc1_res075_c0" | |
| type: "Convolution" | |
| bottom: "res5c_res075" | |
| top: "fc1_res075_c0" | |
| param { | |
| name: "fc1_c0_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c0_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| pad: 6 | |
| dilation: 6 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_res075_c1" | |
| type: "Convolution" | |
| bottom: "res5c_res075" | |
| top: "fc1_res075_c1" | |
| param { | |
| name: "fc1_c1_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c1_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 12 | |
| pad: 12 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_res075_c2" | |
| type: "Convolution" | |
| bottom: "res5c_res075" | |
| top: "fc1_res075_c2" | |
| param { | |
| name: "fc1_c2_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c2_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 18 | |
| pad: 18 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fc1_res075_c3" | |
| type: "Convolution" | |
| bottom: "res5c_res075" | |
| top: "fc1_res075_c3" | |
| param { | |
| name: "fc1_c3_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "fc1_c3_b" | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 5 | |
| kernel_size: 3 | |
| dilation: 24 | |
| pad: 24 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ### SUM the all branches | |
| layer { | |
| bottom: "fc1_res075_c0" | |
| bottom: "fc1_res075_c1" | |
| bottom: "fc1_res075_c2" | |
| bottom: "fc1_res075_c3" | |
| top: "fc1_res075" | |
| name: "fc1_res075" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| ############### upsampling ################## | |
| layer { | |
| bottom: "fc1_res05" | |
| top: "fc1_res05_interp" | |
| name: "fc1_res05_interp" | |
| type: "Interp" | |
| interp_param { | |
| zoom_factor: 2 | |
| pad_beg: 0 | |
| pad_end: 0 | |
| } | |
| } | |
| layer { | |
| bottom: "fc1_res075" | |
| top: "fc1_res075_interp" | |
| name: "fc1_res075_interp" | |
| type: "Interp" | |
| interp_param { | |
| zoom_factor: 4 | |
| shrink_factor: 3 | |
| pad_beg: 0 | |
| pad_end: 0 | |
| } | |
| } | |
| ############### merging multiscale results ##################### | |
| layer { | |
| bottom: "fc1_exp" | |
| bottom: "fc1_res075_interp" | |
| bottom: "fc1_res05_interp" | |
| top: "fc_fusion" | |
| name: "fc_fusion" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: MAX | |
| } | |
| } | |
| ################## compute loss #################### | |
| layer { | |
| bottom: "label" | |
| top: "label_shrink" | |
| name: "label_shrink" | |
| type: "Interp" | |
| interp_param { | |
| shrink_factor: 8 | |
| pad_beg: 0 | |
| pad_end: 0 | |
| } | |
| } | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "fc_fusion" | |
| bottom: "label_shrink" | |
| include { | |
| phase: TRAIN | |
| } | |
| loss_param { | |
| ignore_label: 255 | |
| } | |
| } | |
| layer { | |
| name: "accuracy" | |
| type: "SegAccuracy" | |
| bottom: "fc_fusion" | |
| bottom: "label_shrink" | |
| top: "accuracy" | |
| seg_accuracy_param { | |
| ignore_label: 255 | |
| } | |
| } | |
| ############## add supervsion to fc1's directly ########## | |
| ## resolution 1 | |
| layer { | |
| name: "loss_res1" | |
| type: "SoftmaxWithLoss" | |
| bottom: "fc1_exp" | |
| bottom: "label_shrink" | |
| loss_param { | |
| ignore_label: 255 | |
| } | |
| include: { phase: TRAIN } | |
| } | |
| layer { | |
| name: "accuracy_res1" | |
| type: "SegAccuracy" | |
| bottom: "fc1_exp" | |
| bottom: "label_shrink" | |
| top: "accuracy_res1" | |
| seg_accuracy_param { | |
| ignore_label: 255 | |
| } | |
| } | |
| ## resolution 3/4 | |
| # interp layer does not support 3/4 scale for ground truth | |
| # instead we interpolate score map | |
| layer { | |
| name: "loss_res075" | |
| type: "SoftmaxWithLoss" | |
| bottom: "fc1_res075_interp" | |
| bottom: "label_shrink" | |
| loss_param { | |
| ignore_label: 255 | |
| } | |
| include: { phase: TRAIN } | |
| } | |
| layer { | |
| name: "accuracy_res075" | |
| type: "SegAccuracy" | |
| bottom: "fc1_res075_interp" | |
| bottom: "label_shrink" | |
| top: "accuracy_res075" | |
| seg_accuracy_param { | |
| ignore_label: 255 | |
| } | |
| } | |
| ## resolution 1/2 | |
| layer { | |
| bottom: "label" | |
| top: "label_shrink16" | |
| name: "label_shrink16" | |
| type: "Interp" | |
| interp_param { | |
| shrink_factor: 16 | |
| pad_beg: 0 | |
| pad_end: 0 | |
| } | |
| } | |
| layer { | |
| name: "loss_res05" | |
| type: "SoftmaxWithLoss" | |
| bottom: "fc1_res05" | |
| bottom: "label_shrink16" | |
| loss_param { | |
| ignore_label: 255 | |
| } | |
| include: { phase: TRAIN } | |
| } | |
| layer { | |
| name: "accuracy_res05" | |
| type: "SegAccuracy" | |
| bottom: "fc1_res05" | |
| bottom: "label_shrink16" | |
| top: "accuracy_res05" | |
| seg_accuracy_param { | |
| ignore_label: 255 | |
| } | |
| } |
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