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November 12, 2016 15:46
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| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mirror: true | |
| crop_size: 224 | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| } | |
| data_param { | |
| source: "examples/imagenet/ilsvrc12_train_lmdb" | |
| batch_size: 64 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TEST | |
| } | |
| transform_param { | |
| mirror: false | |
| crop_size: 224 | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| } | |
| data_param { | |
| source: "examples/imagenet/ilsvrc12_val_lmdb" | |
| batch_size: 64 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv1_bn" | |
| type: "BatchNorm" | |
| bottom: "conv1" | |
| top: "conv1" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "conv1_scale" | |
| type: "Scale" | |
| bottom: "conv1" | |
| top: "conv1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| bottom: "conv1" | |
| top: "conv1" | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch1_bn" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch1_scale" | |
| type: "Scale" | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| } | |
| layer { | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| } | |
| layer { | |
| name: "res2a_branch2c" | |
| type: "Convolution" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a" | |
| type: "Eltwise" | |
| bottom: "res2a_branch1" | |
| bottom: "res2a_branch2c" | |
| top: "res2a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a" | |
| top: "res2a" | |
| } | |
| layer { | |
| name: "res2b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res2a" | |
| top: "res2b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res2b1_branch2a" | |
| top: "res2b1_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res2b1_branch2a" | |
| top: "res2b1_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2b1_branch2a" | |
| top: "res2b1_branch2a" | |
| } | |
| layer { | |
| name: "res2b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res2b1_branch2a" | |
| top: "res2b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res2b1_branch2b" | |
| top: "res2b1_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res2b1_branch2b" | |
| top: "res2b1_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2b1_branch2b" | |
| top: "res2b1_branch2b" | |
| } | |
| layer { | |
| name: "res2b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res2b1_branch2b" | |
| top: "res2b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res2b1_branch2c" | |
| top: "res2b1_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2b1_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res2b1_branch2c" | |
| top: "res2b1_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b1" | |
| type: "Eltwise" | |
| bottom: "res2a" | |
| bottom: "res2b1_branch2c" | |
| top: "res2b1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res2b1_relu" | |
| type: "ReLU" | |
| bottom: "res2b1" | |
| top: "res2b1" | |
| } | |
| layer { | |
| name: "res2b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res2b1" | |
| top: "res2b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res2b2_branch2a" | |
| top: "res2b2_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res2b2_branch2a" | |
| top: "res2b2_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2b2_branch2a" | |
| top: "res2b2_branch2a" | |
| } | |
| layer { | |
| name: "res2b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res2b2_branch2a" | |
| top: "res2b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res2b2_branch2b" | |
| top: "res2b2_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res2b2_branch2b" | |
| top: "res2b2_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2b2_branch2b" | |
| top: "res2b2_branch2b" | |
| } | |
| layer { | |
| name: "res2b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res2b2_branch2b" | |
| top: "res2b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res2b2_branch2c" | |
| top: "res2b2_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res2b2_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res2b2_branch2c" | |
| top: "res2b2_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b2" | |
| type: "Eltwise" | |
| bottom: "res2b1" | |
| bottom: "res2b2_branch2c" | |
| top: "res2b2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res2b2_relu" | |
| type: "ReLU" | |
| bottom: "res2b2" | |
| top: "res2b2" | |
| } | |
| layer { | |
| name: "res3a_branch1" | |
| type: "Convolution" | |
| bottom: "res2b2" | |
| top: "res3a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch1_bn" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch1_scale" | |
| type: "Scale" | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| bottom: "res2b2" | |
| top: "res3a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| } | |
| layer { | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| } | |
| layer { | |
| name: "res3a_branch2c" | |
| type: "Convolution" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a" | |
| type: "Eltwise" | |
| bottom: "res3a_branch1" | |
| bottom: "res3a_branch2c" | |
| top: "res3a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| bottom: "res3a" | |
| top: "res3a" | |
| } | |
| layer { | |
| name: "res3b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res3a" | |
| top: "res3b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| } | |
| layer { | |
| name: "res3b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| } | |
| layer { | |
| name: "res3b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b1" | |
| type: "Eltwise" | |
| bottom: "res3a" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b1_relu" | |
| type: "ReLU" | |
| bottom: "res3b1" | |
| top: "res3b1" | |
| } | |
| layer { | |
| name: "res3b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b1" | |
| top: "res3b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| } | |
| layer { | |
| name: "res3b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| } | |
| layer { | |
| name: "res3b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b2" | |
| type: "Eltwise" | |
| bottom: "res3b1" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b2_relu" | |
| type: "ReLU" | |
| bottom: "res3b2" | |
| top: "res3b2" | |
| } | |
| layer { | |
| name: "res3b3_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b2" | |
| top: "res3b3_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| } | |
| layer { | |
| name: "res3b3_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| } | |
| layer { | |
| name: "res3b3_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b3" | |
| type: "Eltwise" | |
| bottom: "res3b2" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu" | |
| type: "ReLU" | |
| bottom: "res3b3" | |
| top: "res3b3" | |
| } | |
| layer { | |
| name: "res3b4_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b3" | |
| top: "res3b4_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b4_branch2a" | |
| top: "res3b4_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3b4_branch2a" | |
| top: "res3b4_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b4_branch2a" | |
| top: "res3b4_branch2a" | |
| } | |
| layer { | |
| name: "res3b4_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b4_branch2a" | |
| top: "res3b4_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b4_branch2b" | |
| top: "res3b4_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3b4_branch2b" | |
| top: "res3b4_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b4_branch2b" | |
| top: "res3b4_branch2b" | |
| } | |
| layer { | |
| name: "res3b4_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b4_branch2b" | |
| top: "res3b4_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b4_branch2c" | |
| top: "res3b4_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b4_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3b4_branch2c" | |
| top: "res3b4_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b4" | |
| type: "Eltwise" | |
| bottom: "res3b3" | |
| bottom: "res3b4_branch2c" | |
| top: "res3b4" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b4_relu" | |
| type: "ReLU" | |
| bottom: "res3b4" | |
| top: "res3b4" | |
| } | |
| layer { | |
| name: "res3b5_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b4" | |
| top: "res3b5_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b5_branch2a" | |
| top: "res3b5_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3b5_branch2a" | |
| top: "res3b5_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b5_branch2a" | |
| top: "res3b5_branch2a" | |
| } | |
| layer { | |
| name: "res3b5_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b5_branch2a" | |
| top: "res3b5_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b5_branch2b" | |
| top: "res3b5_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3b5_branch2b" | |
| top: "res3b5_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b5_branch2b" | |
| top: "res3b5_branch2b" | |
| } | |
| layer { | |
| name: "res3b5_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b5_branch2b" | |
| top: "res3b5_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b5_branch2c" | |
| top: "res3b5_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b5_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3b5_branch2c" | |
| top: "res3b5_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b5" | |
| type: "Eltwise" | |
| bottom: "res3b4" | |
| bottom: "res3b5_branch2c" | |
| top: "res3b5" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b5_relu" | |
| type: "ReLU" | |
| bottom: "res3b5" | |
| top: "res3b5" | |
| } | |
| layer { | |
| name: "res3b6_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b5" | |
| top: "res3b6_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b6_branch2a" | |
| top: "res3b6_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3b6_branch2a" | |
| top: "res3b6_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b6_branch2a" | |
| top: "res3b6_branch2a" | |
| } | |
| layer { | |
| name: "res3b6_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b6_branch2a" | |
| top: "res3b6_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b6_branch2b" | |
| top: "res3b6_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3b6_branch2b" | |
| top: "res3b6_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b6_branch2b" | |
| top: "res3b6_branch2b" | |
| } | |
| layer { | |
| name: "res3b6_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b6_branch2b" | |
| top: "res3b6_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b6_branch2c" | |
| top: "res3b6_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b6_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3b6_branch2c" | |
| top: "res3b6_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b6" | |
| type: "Eltwise" | |
| bottom: "res3b5" | |
| bottom: "res3b6_branch2c" | |
| top: "res3b6" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b6_relu" | |
| type: "ReLU" | |
| bottom: "res3b6" | |
| top: "res3b6" | |
| } | |
| layer { | |
| name: "res3b7_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b6" | |
| top: "res3b7_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b7_branch2a" | |
| top: "res3b7_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res3b7_branch2a" | |
| top: "res3b7_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b7_branch2a" | |
| top: "res3b7_branch2a" | |
| } | |
| layer { | |
| name: "res3b7_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b7_branch2a" | |
| top: "res3b7_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b7_branch2b" | |
| top: "res3b7_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res3b7_branch2b" | |
| top: "res3b7_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b7_branch2b" | |
| top: "res3b7_branch2b" | |
| } | |
| layer { | |
| name: "res3b7_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b7_branch2b" | |
| top: "res3b7_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res3b7_branch2c" | |
| top: "res3b7_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res3b7_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res3b7_branch2c" | |
| top: "res3b7_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b7" | |
| type: "Eltwise" | |
| bottom: "res3b6" | |
| bottom: "res3b7_branch2c" | |
| top: "res3b7" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b7_relu" | |
| type: "ReLU" | |
| bottom: "res3b7" | |
| top: "res3b7" | |
| } | |
| layer { | |
| name: "res4a_branch1" | |
| type: "Convolution" | |
| bottom: "res3b7" | |
| top: "res4a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch1_bn" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch1_scale" | |
| type: "Scale" | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b7" | |
| top: "res4a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| } | |
| layer { | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| } | |
| layer { | |
| name: "res4a_branch2c" | |
| type: "Convolution" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a" | |
| type: "Eltwise" | |
| bottom: "res4a_branch1" | |
| bottom: "res4a_branch2c" | |
| top: "res4a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| bottom: "res4a" | |
| top: "res4a" | |
| } | |
| layer { | |
| name: "res4b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res4a" | |
| top: "res4b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| } | |
| layer { | |
| name: "res4b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| } | |
| layer { | |
| name: "res4b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b1" | |
| type: "Eltwise" | |
| bottom: "res4a" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b1_relu" | |
| type: "ReLU" | |
| bottom: "res4b1" | |
| top: "res4b1" | |
| } | |
| layer { | |
| name: "res4b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b1" | |
| top: "res4b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| } | |
| layer { | |
| name: "res4b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| } | |
| layer { | |
| name: "res4b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b2" | |
| type: "Eltwise" | |
| bottom: "res4b1" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b2_relu" | |
| type: "ReLU" | |
| bottom: "res4b2" | |
| top: "res4b2" | |
| } | |
| layer { | |
| name: "res4b3_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b2" | |
| top: "res4b3_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| } | |
| layer { | |
| name: "res4b3_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| } | |
| layer { | |
| name: "res4b3_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b3" | |
| type: "Eltwise" | |
| bottom: "res4b2" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b3_relu" | |
| type: "ReLU" | |
| bottom: "res4b3" | |
| top: "res4b3" | |
| } | |
| layer { | |
| name: "res4b4_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b3" | |
| top: "res4b4_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| } | |
| layer { | |
| name: "res4b4_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| } | |
| layer { | |
| name: "res4b4_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b4" | |
| type: "Eltwise" | |
| bottom: "res4b3" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b4_relu" | |
| type: "ReLU" | |
| bottom: "res4b4" | |
| top: "res4b4" | |
| } | |
| layer { | |
| name: "res4b5_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b4" | |
| top: "res4b5_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| } | |
| layer { | |
| name: "res4b5_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| } | |
| layer { | |
| name: "res4b5_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b5" | |
| type: "Eltwise" | |
| bottom: "res4b4" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b5_relu" | |
| type: "ReLU" | |
| bottom: "res4b5" | |
| top: "res4b5" | |
| } | |
| layer { | |
| name: "res4b6_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b5" | |
| top: "res4b6_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| } | |
| layer { | |
| name: "res4b6_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| } | |
| layer { | |
| name: "res4b6_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b6" | |
| type: "Eltwise" | |
| bottom: "res4b5" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b6_relu" | |
| type: "ReLU" | |
| bottom: "res4b6" | |
| top: "res4b6" | |
| } | |
| layer { | |
| name: "res4b7_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b6" | |
| top: "res4b7_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| } | |
| layer { | |
| name: "res4b7_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| } | |
| layer { | |
| name: "res4b7_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b7" | |
| type: "Eltwise" | |
| bottom: "res4b6" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b7_relu" | |
| type: "ReLU" | |
| bottom: "res4b7" | |
| top: "res4b7" | |
| } | |
| layer { | |
| name: "res4b8_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b7" | |
| top: "res4b8_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| } | |
| layer { | |
| name: "res4b8_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| } | |
| layer { | |
| name: "res4b8_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b8" | |
| type: "Eltwise" | |
| bottom: "res4b7" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b8_relu" | |
| type: "ReLU" | |
| bottom: "res4b8" | |
| top: "res4b8" | |
| } | |
| layer { | |
| name: "res4b9_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b8" | |
| top: "res4b9_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| } | |
| layer { | |
| name: "res4b9_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| } | |
| layer { | |
| name: "res4b9_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b9" | |
| type: "Eltwise" | |
| bottom: "res4b8" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b9_relu" | |
| type: "ReLU" | |
| bottom: "res4b9" | |
| top: "res4b9" | |
| } | |
| layer { | |
| name: "res4b10_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b9" | |
| top: "res4b10_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| } | |
| layer { | |
| name: "res4b10_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| } | |
| layer { | |
| name: "res4b10_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b10" | |
| type: "Eltwise" | |
| bottom: "res4b9" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b10_relu" | |
| type: "ReLU" | |
| bottom: "res4b10" | |
| top: "res4b10" | |
| } | |
| layer { | |
| name: "res4b11_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b10" | |
| top: "res4b11_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| } | |
| layer { | |
| name: "res4b11_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| } | |
| layer { | |
| name: "res4b11_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b11" | |
| type: "Eltwise" | |
| bottom: "res4b10" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b11_relu" | |
| type: "ReLU" | |
| bottom: "res4b11" | |
| top: "res4b11" | |
| } | |
| layer { | |
| name: "res4b12_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b11" | |
| top: "res4b12_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| } | |
| layer { | |
| name: "res4b12_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| } | |
| layer { | |
| name: "res4b12_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b12" | |
| type: "Eltwise" | |
| bottom: "res4b11" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b12_relu" | |
| type: "ReLU" | |
| bottom: "res4b12" | |
| top: "res4b12" | |
| } | |
| layer { | |
| name: "res4b13_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b12" | |
| top: "res4b13_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| } | |
| layer { | |
| name: "res4b13_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| } | |
| layer { | |
| name: "res4b13_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b13" | |
| type: "Eltwise" | |
| bottom: "res4b12" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b13_relu" | |
| type: "ReLU" | |
| bottom: "res4b13" | |
| top: "res4b13" | |
| } | |
| layer { | |
| name: "res4b14_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b13" | |
| top: "res4b14_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| } | |
| layer { | |
| name: "res4b14_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| } | |
| layer { | |
| name: "res4b14_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b14" | |
| type: "Eltwise" | |
| bottom: "res4b13" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b14_relu" | |
| type: "ReLU" | |
| bottom: "res4b14" | |
| top: "res4b14" | |
| } | |
| layer { | |
| name: "res4b15_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b14" | |
| top: "res4b15_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| } | |
| layer { | |
| name: "res4b15_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| } | |
| layer { | |
| name: "res4b15_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b15" | |
| type: "Eltwise" | |
| bottom: "res4b14" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b15_relu" | |
| type: "ReLU" | |
| bottom: "res4b15" | |
| top: "res4b15" | |
| } | |
| layer { | |
| name: "res4b16_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b15" | |
| top: "res4b16_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| } | |
| layer { | |
| name: "res4b16_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| } | |
| layer { | |
| name: "res4b16_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b16" | |
| type: "Eltwise" | |
| bottom: "res4b15" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b16_relu" | |
| type: "ReLU" | |
| bottom: "res4b16" | |
| top: "res4b16" | |
| } | |
| layer { | |
| name: "res4b17_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b16" | |
| top: "res4b17_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| } | |
| layer { | |
| name: "res4b17_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| } | |
| layer { | |
| name: "res4b17_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b17" | |
| type: "Eltwise" | |
| bottom: "res4b16" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b17_relu" | |
| type: "ReLU" | |
| bottom: "res4b17" | |
| top: "res4b17" | |
| } | |
| layer { | |
| name: "res4b18_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b17" | |
| top: "res4b18_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| } | |
| layer { | |
| name: "res4b18_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| } | |
| layer { | |
| name: "res4b18_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b18" | |
| type: "Eltwise" | |
| bottom: "res4b17" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b18_relu" | |
| type: "ReLU" | |
| bottom: "res4b18" | |
| top: "res4b18" | |
| } | |
| layer { | |
| name: "res4b19_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b18" | |
| top: "res4b19_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| } | |
| layer { | |
| name: "res4b19_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| } | |
| layer { | |
| name: "res4b19_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b19" | |
| type: "Eltwise" | |
| bottom: "res4b18" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b19_relu" | |
| type: "ReLU" | |
| bottom: "res4b19" | |
| top: "res4b19" | |
| } | |
| layer { | |
| name: "res4b20_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b19" | |
| top: "res4b20_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| } | |
| layer { | |
| name: "res4b20_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| } | |
| layer { | |
| name: "res4b20_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b20" | |
| type: "Eltwise" | |
| bottom: "res4b19" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b20_relu" | |
| type: "ReLU" | |
| bottom: "res4b20" | |
| top: "res4b20" | |
| } | |
| layer { | |
| name: "res4b21_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b20" | |
| top: "res4b21_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| } | |
| layer { | |
| name: "res4b21_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| } | |
| layer { | |
| name: "res4b21_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b21" | |
| type: "Eltwise" | |
| bottom: "res4b20" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b21_relu" | |
| type: "ReLU" | |
| bottom: "res4b21" | |
| top: "res4b21" | |
| } | |
| layer { | |
| name: "res4b22_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b21" | |
| top: "res4b22_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| } | |
| layer { | |
| name: "res4b22_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| } | |
| layer { | |
| name: "res4b22_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b22" | |
| type: "Eltwise" | |
| bottom: "res4b21" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b22_relu" | |
| type: "ReLU" | |
| bottom: "res4b22" | |
| top: "res4b22" | |
| } | |
| layer { | |
| name: "res4b23_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b22" | |
| top: "res4b23_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b23_branch2a" | |
| top: "res4b23_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b23_branch2a" | |
| top: "res4b23_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b23_branch2a" | |
| top: "res4b23_branch2a" | |
| } | |
| layer { | |
| name: "res4b23_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b23_branch2a" | |
| top: "res4b23_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b23_branch2b" | |
| top: "res4b23_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b23_branch2b" | |
| top: "res4b23_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b23_branch2b" | |
| top: "res4b23_branch2b" | |
| } | |
| layer { | |
| name: "res4b23_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b23_branch2b" | |
| top: "res4b23_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b23_branch2c" | |
| top: "res4b23_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b23_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b23_branch2c" | |
| top: "res4b23_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b23" | |
| type: "Eltwise" | |
| bottom: "res4b22" | |
| bottom: "res4b23_branch2c" | |
| top: "res4b23" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b23_relu" | |
| type: "ReLU" | |
| bottom: "res4b23" | |
| top: "res4b23" | |
| } | |
| layer { | |
| name: "res4b24_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b23" | |
| top: "res4b24_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b24_branch2a" | |
| top: "res4b24_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b24_branch2a" | |
| top: "res4b24_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b24_branch2a" | |
| top: "res4b24_branch2a" | |
| } | |
| layer { | |
| name: "res4b24_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b24_branch2a" | |
| top: "res4b24_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b24_branch2b" | |
| top: "res4b24_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b24_branch2b" | |
| top: "res4b24_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b24_branch2b" | |
| top: "res4b24_branch2b" | |
| } | |
| layer { | |
| name: "res4b24_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b24_branch2b" | |
| top: "res4b24_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b24_branch2c" | |
| top: "res4b24_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b24_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b24_branch2c" | |
| top: "res4b24_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b24" | |
| type: "Eltwise" | |
| bottom: "res4b23" | |
| bottom: "res4b24_branch2c" | |
| top: "res4b24" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b24_relu" | |
| type: "ReLU" | |
| bottom: "res4b24" | |
| top: "res4b24" | |
| } | |
| layer { | |
| name: "res4b25_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b24" | |
| top: "res4b25_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b25_branch2a" | |
| top: "res4b25_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b25_branch2a" | |
| top: "res4b25_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b25_branch2a" | |
| top: "res4b25_branch2a" | |
| } | |
| layer { | |
| name: "res4b25_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b25_branch2a" | |
| top: "res4b25_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b25_branch2b" | |
| top: "res4b25_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b25_branch2b" | |
| top: "res4b25_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b25_branch2b" | |
| top: "res4b25_branch2b" | |
| } | |
| layer { | |
| name: "res4b25_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b25_branch2b" | |
| top: "res4b25_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b25_branch2c" | |
| top: "res4b25_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b25_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b25_branch2c" | |
| top: "res4b25_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b25" | |
| type: "Eltwise" | |
| bottom: "res4b24" | |
| bottom: "res4b25_branch2c" | |
| top: "res4b25" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b25_relu" | |
| type: "ReLU" | |
| bottom: "res4b25" | |
| top: "res4b25" | |
| } | |
| layer { | |
| name: "res4b26_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b25" | |
| top: "res4b26_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b26_branch2a" | |
| top: "res4b26_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b26_branch2a" | |
| top: "res4b26_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b26_branch2a" | |
| top: "res4b26_branch2a" | |
| } | |
| layer { | |
| name: "res4b26_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b26_branch2a" | |
| top: "res4b26_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b26_branch2b" | |
| top: "res4b26_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b26_branch2b" | |
| top: "res4b26_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b26_branch2b" | |
| top: "res4b26_branch2b" | |
| } | |
| layer { | |
| name: "res4b26_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b26_branch2b" | |
| top: "res4b26_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b26_branch2c" | |
| top: "res4b26_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b26_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b26_branch2c" | |
| top: "res4b26_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b26" | |
| type: "Eltwise" | |
| bottom: "res4b25" | |
| bottom: "res4b26_branch2c" | |
| top: "res4b26" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b26_relu" | |
| type: "ReLU" | |
| bottom: "res4b26" | |
| top: "res4b26" | |
| } | |
| layer { | |
| name: "res4b27_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b26" | |
| top: "res4b27_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b27_branch2a" | |
| top: "res4b27_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b27_branch2a" | |
| top: "res4b27_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b27_branch2a" | |
| top: "res4b27_branch2a" | |
| } | |
| layer { | |
| name: "res4b27_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b27_branch2a" | |
| top: "res4b27_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b27_branch2b" | |
| top: "res4b27_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b27_branch2b" | |
| top: "res4b27_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b27_branch2b" | |
| top: "res4b27_branch2b" | |
| } | |
| layer { | |
| name: "res4b27_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b27_branch2b" | |
| top: "res4b27_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b27_branch2c" | |
| top: "res4b27_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b27_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b27_branch2c" | |
| top: "res4b27_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b27" | |
| type: "Eltwise" | |
| bottom: "res4b26" | |
| bottom: "res4b27_branch2c" | |
| top: "res4b27" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b27_relu" | |
| type: "ReLU" | |
| bottom: "res4b27" | |
| top: "res4b27" | |
| } | |
| layer { | |
| name: "res4b28_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b27" | |
| top: "res4b28_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b28_branch2a" | |
| top: "res4b28_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b28_branch2a" | |
| top: "res4b28_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b28_branch2a" | |
| top: "res4b28_branch2a" | |
| } | |
| layer { | |
| name: "res4b28_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b28_branch2a" | |
| top: "res4b28_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b28_branch2b" | |
| top: "res4b28_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b28_branch2b" | |
| top: "res4b28_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b28_branch2b" | |
| top: "res4b28_branch2b" | |
| } | |
| layer { | |
| name: "res4b28_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b28_branch2b" | |
| top: "res4b28_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b28_branch2c" | |
| top: "res4b28_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b28_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b28_branch2c" | |
| top: "res4b28_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b28" | |
| type: "Eltwise" | |
| bottom: "res4b27" | |
| bottom: "res4b28_branch2c" | |
| top: "res4b28" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b28_relu" | |
| type: "ReLU" | |
| bottom: "res4b28" | |
| top: "res4b28" | |
| } | |
| layer { | |
| name: "res4b29_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b28" | |
| top: "res4b29_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b29_branch2a" | |
| top: "res4b29_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b29_branch2a" | |
| top: "res4b29_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b29_branch2a" | |
| top: "res4b29_branch2a" | |
| } | |
| layer { | |
| name: "res4b29_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b29_branch2a" | |
| top: "res4b29_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b29_branch2b" | |
| top: "res4b29_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b29_branch2b" | |
| top: "res4b29_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b29_branch2b" | |
| top: "res4b29_branch2b" | |
| } | |
| layer { | |
| name: "res4b29_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b29_branch2b" | |
| top: "res4b29_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b29_branch2c" | |
| top: "res4b29_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b29_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b29_branch2c" | |
| top: "res4b29_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b29" | |
| type: "Eltwise" | |
| bottom: "res4b28" | |
| bottom: "res4b29_branch2c" | |
| top: "res4b29" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b29_relu" | |
| type: "ReLU" | |
| bottom: "res4b29" | |
| top: "res4b29" | |
| } | |
| layer { | |
| name: "res4b30_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b29" | |
| top: "res4b30_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b30_branch2a" | |
| top: "res4b30_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b30_branch2a" | |
| top: "res4b30_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b30_branch2a" | |
| top: "res4b30_branch2a" | |
| } | |
| layer { | |
| name: "res4b30_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b30_branch2a" | |
| top: "res4b30_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b30_branch2b" | |
| top: "res4b30_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b30_branch2b" | |
| top: "res4b30_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b30_branch2b" | |
| top: "res4b30_branch2b" | |
| } | |
| layer { | |
| name: "res4b30_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b30_branch2b" | |
| top: "res4b30_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b30_branch2c" | |
| top: "res4b30_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b30_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b30_branch2c" | |
| top: "res4b30_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b30" | |
| type: "Eltwise" | |
| bottom: "res4b29" | |
| bottom: "res4b30_branch2c" | |
| top: "res4b30" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b30_relu" | |
| type: "ReLU" | |
| bottom: "res4b30" | |
| top: "res4b30" | |
| } | |
| layer { | |
| name: "res4b31_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b30" | |
| top: "res4b31_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b31_branch2a" | |
| top: "res4b31_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b31_branch2a" | |
| top: "res4b31_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b31_branch2a" | |
| top: "res4b31_branch2a" | |
| } | |
| layer { | |
| name: "res4b31_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b31_branch2a" | |
| top: "res4b31_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b31_branch2b" | |
| top: "res4b31_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b31_branch2b" | |
| top: "res4b31_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b31_branch2b" | |
| top: "res4b31_branch2b" | |
| } | |
| layer { | |
| name: "res4b31_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b31_branch2b" | |
| top: "res4b31_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b31_branch2c" | |
| top: "res4b31_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b31_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b31_branch2c" | |
| top: "res4b31_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b31" | |
| type: "Eltwise" | |
| bottom: "res4b30" | |
| bottom: "res4b31_branch2c" | |
| top: "res4b31" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b31_relu" | |
| type: "ReLU" | |
| bottom: "res4b31" | |
| top: "res4b31" | |
| } | |
| layer { | |
| name: "res4b32_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b31" | |
| top: "res4b32_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b32_branch2a" | |
| top: "res4b32_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b32_branch2a" | |
| top: "res4b32_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b32_branch2a" | |
| top: "res4b32_branch2a" | |
| } | |
| layer { | |
| name: "res4b32_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b32_branch2a" | |
| top: "res4b32_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b32_branch2b" | |
| top: "res4b32_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b32_branch2b" | |
| top: "res4b32_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b32_branch2b" | |
| top: "res4b32_branch2b" | |
| } | |
| layer { | |
| name: "res4b32_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b32_branch2b" | |
| top: "res4b32_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b32_branch2c" | |
| top: "res4b32_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b32_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b32_branch2c" | |
| top: "res4b32_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b32" | |
| type: "Eltwise" | |
| bottom: "res4b31" | |
| bottom: "res4b32_branch2c" | |
| top: "res4b32" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b32_relu" | |
| type: "ReLU" | |
| bottom: "res4b32" | |
| top: "res4b32" | |
| } | |
| layer { | |
| name: "res4b33_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b32" | |
| top: "res4b33_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b33_branch2a" | |
| top: "res4b33_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b33_branch2a" | |
| top: "res4b33_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b33_branch2a" | |
| top: "res4b33_branch2a" | |
| } | |
| layer { | |
| name: "res4b33_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b33_branch2a" | |
| top: "res4b33_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b33_branch2b" | |
| top: "res4b33_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b33_branch2b" | |
| top: "res4b33_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b33_branch2b" | |
| top: "res4b33_branch2b" | |
| } | |
| layer { | |
| name: "res4b33_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b33_branch2b" | |
| top: "res4b33_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b33_branch2c" | |
| top: "res4b33_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b33_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b33_branch2c" | |
| top: "res4b33_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b33" | |
| type: "Eltwise" | |
| bottom: "res4b32" | |
| bottom: "res4b33_branch2c" | |
| top: "res4b33" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b33_relu" | |
| type: "ReLU" | |
| bottom: "res4b33" | |
| top: "res4b33" | |
| } | |
| layer { | |
| name: "res4b34_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b33" | |
| top: "res4b34_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b34_branch2a" | |
| top: "res4b34_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b34_branch2a" | |
| top: "res4b34_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b34_branch2a" | |
| top: "res4b34_branch2a" | |
| } | |
| layer { | |
| name: "res4b34_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b34_branch2a" | |
| top: "res4b34_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b34_branch2b" | |
| top: "res4b34_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b34_branch2b" | |
| top: "res4b34_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b34_branch2b" | |
| top: "res4b34_branch2b" | |
| } | |
| layer { | |
| name: "res4b34_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b34_branch2b" | |
| top: "res4b34_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b34_branch2c" | |
| top: "res4b34_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b34_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b34_branch2c" | |
| top: "res4b34_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b34" | |
| type: "Eltwise" | |
| bottom: "res4b33" | |
| bottom: "res4b34_branch2c" | |
| top: "res4b34" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b34_relu" | |
| type: "ReLU" | |
| bottom: "res4b34" | |
| top: "res4b34" | |
| } | |
| layer { | |
| name: "res4b35_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b34" | |
| top: "res4b35_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b35_branch2a" | |
| top: "res4b35_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res4b35_branch2a" | |
| top: "res4b35_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b35_branch2a" | |
| top: "res4b35_branch2a" | |
| } | |
| layer { | |
| name: "res4b35_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b35_branch2a" | |
| top: "res4b35_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b35_branch2b" | |
| top: "res4b35_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res4b35_branch2b" | |
| top: "res4b35_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b35_branch2b" | |
| top: "res4b35_branch2b" | |
| } | |
| layer { | |
| name: "res4b35_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b35_branch2b" | |
| top: "res4b35_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res4b35_branch2c" | |
| top: "res4b35_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res4b35_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res4b35_branch2c" | |
| top: "res4b35_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b35" | |
| type: "Eltwise" | |
| bottom: "res4b34" | |
| bottom: "res4b35_branch2c" | |
| top: "res4b35" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b35_relu" | |
| type: "ReLU" | |
| bottom: "res4b35" | |
| top: "res4b35" | |
| } | |
| layer { | |
| name: "res5a_branch1" | |
| type: "Convolution" | |
| bottom: "res4b35" | |
| top: "res5a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch1_bn" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch1_scale" | |
| type: "Scale" | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b35" | |
| top: "res5a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| } | |
| layer { | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| } | |
| layer { | |
| name: "res5a_branch2c" | |
| type: "Convolution" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a" | |
| type: "Eltwise" | |
| bottom: "res5a_branch1" | |
| bottom: "res5a_branch2c" | |
| top: "res5a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| bottom: "res5a" | |
| top: "res5a" | |
| } | |
| layer { | |
| name: "res5b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res5a" | |
| top: "res5b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res5b1_branch2a" | |
| top: "res5b1_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res5b1_branch2a" | |
| top: "res5b1_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5b1_branch2a" | |
| top: "res5b1_branch2a" | |
| } | |
| layer { | |
| name: "res5b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res5b1_branch2a" | |
| top: "res5b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res5b1_branch2b" | |
| top: "res5b1_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res5b1_branch2b" | |
| top: "res5b1_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5b1_branch2b" | |
| top: "res5b1_branch2b" | |
| } | |
| layer { | |
| name: "res5b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res5b1_branch2b" | |
| top: "res5b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res5b1_branch2c" | |
| top: "res5b1_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5b1_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res5b1_branch2c" | |
| top: "res5b1_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b1" | |
| type: "Eltwise" | |
| bottom: "res5a" | |
| bottom: "res5b1_branch2c" | |
| top: "res5b1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res5b1_relu" | |
| type: "ReLU" | |
| bottom: "res5b1" | |
| top: "res5b1" | |
| } | |
| layer { | |
| name: "res5b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res5b1" | |
| top: "res5b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2a_bn" | |
| type: "BatchNorm" | |
| bottom: "res5b2_branch2a" | |
| top: "res5b2_branch2a" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2a_scale" | |
| type: "Scale" | |
| bottom: "res5b2_branch2a" | |
| top: "res5b2_branch2a" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5b2_branch2a" | |
| top: "res5b2_branch2a" | |
| } | |
| layer { | |
| name: "res5b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res5b2_branch2a" | |
| top: "res5b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2b_bn" | |
| type: "BatchNorm" | |
| bottom: "res5b2_branch2b" | |
| top: "res5b2_branch2b" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2b_scale" | |
| type: "Scale" | |
| bottom: "res5b2_branch2b" | |
| top: "res5b2_branch2b" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5b2_branch2b" | |
| top: "res5b2_branch2b" | |
| } | |
| layer { | |
| name: "res5b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res5b2_branch2b" | |
| top: "res5b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2c_bn" | |
| type: "BatchNorm" | |
| bottom: "res5b2_branch2c" | |
| top: "res5b2_branch2c" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "res5b2_branch2c_scale" | |
| type: "Scale" | |
| bottom: "res5b2_branch2c" | |
| top: "res5b2_branch2c" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b2" | |
| type: "Eltwise" | |
| bottom: "res5b1" | |
| bottom: "res5b2_branch2c" | |
| top: "res5b2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res5b2_relu" | |
| type: "ReLU" | |
| bottom: "res5b2" | |
| top: "res5b2" | |
| } | |
| layer { | |
| name: "pool5" | |
| type: "Pooling" | |
| bottom: "res5b2" | |
| top: "pool5" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 7 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "classifier" | |
| type: "InnerProduct" | |
| bottom: "pool5" | |
| top: "classifier" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 101 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "classifier" | |
| bottom: "label" | |
| top: "loss" | |
| } | |
| layer { | |
| name: "accuracy_top1" | |
| type: "Accuracy" | |
| bottom: "classifier" | |
| bottom: "label" | |
| top: "accuracy_top1" | |
| include { | |
| phase: TEST | |
| } | |
| } | |
| layer { | |
| name: "accuracy_top5" | |
| type: "Accuracy" | |
| bottom: "classifier" | |
| bottom: "label" | |
| top: "accuracy_top5" | |
| include { | |
| phase: TEST | |
| } | |
| accuracy_param { | |
| top_k: 5 | |
| } | |
| } |
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