Created
November 8, 2018 03:09
-
-
Save qzhong0605/a8bdbf11886843d19364d55ea41bbbeb to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: "ResNet-101" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mirror: true | |
| crop_size: 224 | |
| mean_value: 104.0 | |
| mean_value: 117.0 | |
| mean_value: 123.0 | |
| } | |
| data_param { | |
| source: "/mnt/disk1/zhibin/experiment_data/imagenet/ilsvrc12_train_lmdb/" | |
| batch_size: 16 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TEST | |
| } | |
| transform_param { | |
| mirror: false | |
| crop_size: 224 | |
| mean_value: 104.0 | |
| mean_value: 117.0 | |
| mean_value: 123.0 | |
| } | |
| data_param { | |
| source: "/mnt/disk1/zhibin/experiment_data/imagenet/ilsvrc12_val_lmdb/" | |
| batch_size: 32 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn_conv1" | |
| type: "BatchNorm" | |
| bottom: "conv1" | |
| top: "conv1/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale_conv1" | |
| type: "Scale" | |
| bottom: "conv1/bn" | |
| top: "conv1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| bottom: "conv1/bn" | |
| top: "conv1/bn" | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1/bn" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| bottom: "res2a_branch1/bn" | |
| top: "res2a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| bottom: "res2a_branch2a/bn" | |
| top: "res2a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a_branch2a/bn" | |
| top: "res2a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| bottom: "res2a_branch2a/bn" | |
| top: "res2a_branch2b" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| bottom: "res2a_branch2b/bn" | |
| top: "res2a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2a_branch2b/bn" | |
| top: "res2a_branch2b/bn" | |
| } | |
| layer { | |
| name: "res2a_branch2c" | |
| type: "Convolution" | |
| bottom: "res2a_branch2b/bn" | |
| top: "res2a_branch2c" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2c" | |
| type: "Scale" | |
| bottom: "res2a_branch2c/bn" | |
| top: "res2a_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a" | |
| type: "Eltwise" | |
| bottom: "res2a_branch2c/bn" | |
| bottom: "res2a_branch1/bn" | |
| top: "res2a" | |
| } | |
| layer { | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a" | |
| top: "res2a" | |
| } | |
| layer { | |
| name: "res2b_branch2a" | |
| type: "Convolution" | |
| bottom: "res2a" | |
| top: "res2b_branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| bottom: "res2b_branch2a/bn" | |
| top: "res2b_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2b_branch2a/bn" | |
| top: "res2b_branch2a/bn" | |
| } | |
| layer { | |
| name: "res2b_branch2b" | |
| type: "Convolution" | |
| bottom: "res2b_branch2a/bn" | |
| top: "res2b_branch2b" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| bottom: "res2b_branch2b/bn" | |
| top: "res2b_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2b_branch2b/bn" | |
| top: "res2b_branch2b/bn" | |
| } | |
| layer { | |
| name: "res2b_branch2c" | |
| type: "Convolution" | |
| bottom: "res2b_branch2b/bn" | |
| top: "res2b_branch2c" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2c" | |
| type: "Scale" | |
| bottom: "res2b_branch2c/bn" | |
| top: "res2b_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b" | |
| type: "Eltwise" | |
| bottom: "res2a" | |
| bottom: "res2b_branch2c/bn" | |
| top: "res2b" | |
| } | |
| layer { | |
| name: "res2b_relu" | |
| type: "ReLU" | |
| bottom: "res2b" | |
| top: "res2b" | |
| } | |
| layer { | |
| name: "res2c_branch2a" | |
| type: "Convolution" | |
| bottom: "res2b" | |
| top: "res2c_branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2c_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2c_branch2a" | |
| type: "Scale" | |
| bottom: "res2c_branch2a/bn" | |
| top: "res2c_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2c_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2c_branch2a/bn" | |
| top: "res2c_branch2a/bn" | |
| } | |
| layer { | |
| name: "res2c_branch2b" | |
| type: "Convolution" | |
| bottom: "res2c_branch2a/bn" | |
| top: "res2c_branch2b" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2c_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2c_branch2b" | |
| type: "Scale" | |
| bottom: "res2c_branch2b/bn" | |
| top: "res2c_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2c_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2c_branch2b/bn" | |
| top: "res2c_branch2b/bn" | |
| } | |
| layer { | |
| name: "res2c_branch2c" | |
| type: "Convolution" | |
| bottom: "res2c_branch2b/bn" | |
| top: "res2c_branch2c" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn2c_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale2c_branch2c" | |
| type: "Scale" | |
| bottom: "res2c_branch2c/bn" | |
| top: "res2c_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2c" | |
| type: "Eltwise" | |
| bottom: "res2c_branch2c/bn" | |
| bottom: "res2b" | |
| top: "res2c" | |
| } | |
| layer { | |
| name: "res2c_relu" | |
| type: "ReLU" | |
| bottom: "res2c" | |
| top: "res2c" | |
| } | |
| layer { | |
| name: "res3a_branch1" | |
| type: "Convolution" | |
| bottom: "res2c" | |
| top: "res3a_branch1" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch1" | |
| type: "Scale" | |
| bottom: "res3a_branch1/bn" | |
| top: "res3a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| bottom: "res2c" | |
| top: "res3a_branch2a" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| bottom: "res3a_branch2a/bn" | |
| top: "res3a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3a_branch2a/bn" | |
| top: "res3a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| bottom: "res3a_branch2a/bn" | |
| top: "res3a_branch2b" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| bottom: "res3a_branch2b/bn" | |
| top: "res3a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3a_branch2b/bn" | |
| top: "res3a_branch2b/bn" | |
| } | |
| layer { | |
| name: "res3a_branch2c" | |
| type: "Convolution" | |
| bottom: "res3a_branch2b/bn" | |
| top: "res3a_branch2c" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2c" | |
| type: "Scale" | |
| bottom: "res3a_branch2c/bn" | |
| top: "res3a_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a" | |
| type: "Eltwise" | |
| bottom: "res3a_branch1/bn" | |
| bottom: "res3a_branch2c/bn" | |
| top: "res3a" | |
| } | |
| layer { | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| bottom: "res3a" | |
| top: "res3a" | |
| } | |
| layer { | |
| name: "res3b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res3a" | |
| top: "res3b1_branch2a" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b1_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b1_branch2a" | |
| type: "Scale" | |
| bottom: "res3b1_branch2a/bn" | |
| top: "res3b1_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b1_branch2a/bn" | |
| top: "res3b1_branch2a/bn" | |
| } | |
| layer { | |
| name: "res3b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b1_branch2a/bn" | |
| top: "res3b1_branch2b" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b1_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b1_branch2b" | |
| type: "Scale" | |
| bottom: "res3b1_branch2b/bn" | |
| top: "res3b1_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b1_branch2b/bn" | |
| top: "res3b1_branch2b/bn" | |
| } | |
| layer { | |
| name: "res3b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b1_branch2b/bn" | |
| top: "res3b1_branch2c" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b1_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b1_branch2c" | |
| type: "Scale" | |
| bottom: "res3b1_branch2c/bn" | |
| top: "res3b1_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b1" | |
| type: "Eltwise" | |
| bottom: "res3a" | |
| bottom: "res3b1_branch2c/bn" | |
| top: "res3b1" | |
| } | |
| layer { | |
| name: "res3b1_relu" | |
| type: "ReLU" | |
| bottom: "res3b1" | |
| top: "res3b1" | |
| } | |
| layer { | |
| name: "res3b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b1" | |
| top: "res3b2_branch2a" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b2_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b2_branch2a" | |
| type: "Scale" | |
| bottom: "res3b2_branch2a/bn" | |
| top: "res3b2_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b2_branch2a/bn" | |
| top: "res3b2_branch2a/bn" | |
| } | |
| layer { | |
| name: "res3b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b2_branch2a/bn" | |
| top: "res3b2_branch2b" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b2_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b2_branch2b" | |
| type: "Scale" | |
| bottom: "res3b2_branch2b/bn" | |
| top: "res3b2_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b2_branch2b/bn" | |
| top: "res3b2_branch2b/bn" | |
| } | |
| layer { | |
| name: "res3b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b2_branch2b/bn" | |
| top: "res3b2_branch2c" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b2_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b2_branch2c" | |
| type: "Scale" | |
| bottom: "res3b2_branch2c/bn" | |
| top: "res3b2_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b2" | |
| type: "Eltwise" | |
| bottom: "res3b1" | |
| bottom: "res3b2_branch2c/bn" | |
| top: "res3b2" | |
| } | |
| layer { | |
| name: "res3b2_relu" | |
| type: "ReLU" | |
| bottom: "res3b2" | |
| top: "res3b2" | |
| } | |
| layer { | |
| name: "res3b3_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b2" | |
| top: "res3b3_branch2a" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b3_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b3_branch2a" | |
| type: "Scale" | |
| bottom: "res3b3_branch2a/bn" | |
| top: "res3b3_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b3_branch2a/bn" | |
| top: "res3b3_branch2a/bn" | |
| } | |
| layer { | |
| name: "res3b3_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b3_branch2a/bn" | |
| top: "res3b3_branch2b" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b3_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b3_branch2b" | |
| type: "Scale" | |
| bottom: "res3b3_branch2b/bn" | |
| top: "res3b3_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b3_branch2b/bn" | |
| top: "res3b3_branch2b/bn" | |
| } | |
| layer { | |
| name: "res3b3_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b3_branch2b/bn" | |
| top: "res3b3_branch2c" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn3b3_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale3b3_branch2c" | |
| type: "Scale" | |
| bottom: "res3b3_branch2c/bn" | |
| top: "res3b3_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b3" | |
| type: "Eltwise" | |
| bottom: "res3b2" | |
| bottom: "res3b3_branch2c/bn" | |
| top: "res3b3" | |
| } | |
| layer { | |
| name: "res3b3_relu" | |
| type: "ReLU" | |
| bottom: "res3b3" | |
| top: "res3b3" | |
| } | |
| layer { | |
| name: "res4a_branch1" | |
| type: "Convolution" | |
| bottom: "res3b3" | |
| top: "res4a_branch1" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch1" | |
| type: "Scale" | |
| bottom: "res4a_branch1/bn" | |
| top: "res4a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b3" | |
| top: "res4a_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| bottom: "res4a_branch2a/bn" | |
| top: "res4a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4a_branch2a/bn" | |
| top: "res4a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| bottom: "res4a_branch2a/bn" | |
| top: "res4a_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| bottom: "res4a_branch2b/bn" | |
| top: "res4a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4a_branch2b/bn" | |
| top: "res4a_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4a_branch2c" | |
| type: "Convolution" | |
| bottom: "res4a_branch2b/bn" | |
| top: "res4a_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2c" | |
| type: "Scale" | |
| bottom: "res4a_branch2c/bn" | |
| top: "res4a_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a" | |
| type: "Eltwise" | |
| bottom: "res4a_branch1/bn" | |
| bottom: "res4a_branch2c/bn" | |
| top: "res4a" | |
| } | |
| layer { | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| bottom: "res4a" | |
| top: "res4a" | |
| } | |
| layer { | |
| name: "res4b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res4a" | |
| top: "res4b1_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b1_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b1_branch2a" | |
| type: "Scale" | |
| bottom: "res4b1_branch2a/bn" | |
| top: "res4b1_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b1_branch2a/bn" | |
| top: "res4b1_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b1_branch2a/bn" | |
| top: "res4b1_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b1_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b1_branch2b" | |
| type: "Scale" | |
| bottom: "res4b1_branch2b/bn" | |
| top: "res4b1_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b1_branch2b/bn" | |
| top: "res4b1_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b1_branch2b/bn" | |
| top: "res4b1_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b1_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b1_branch2c" | |
| type: "Scale" | |
| bottom: "res4b1_branch2c/bn" | |
| top: "res4b1_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b1" | |
| type: "Eltwise" | |
| bottom: "res4a" | |
| bottom: "res4b1_branch2c/bn" | |
| top: "res4b1" | |
| } | |
| layer { | |
| name: "res4b1_relu" | |
| type: "ReLU" | |
| bottom: "res4b1" | |
| top: "res4b1" | |
| } | |
| layer { | |
| name: "res4b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b1" | |
| top: "res4b2_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b2_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b2_branch2a" | |
| type: "Scale" | |
| bottom: "res4b2_branch2a/bn" | |
| top: "res4b2_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b2_branch2a/bn" | |
| top: "res4b2_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b2_branch2a/bn" | |
| top: "res4b2_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b2_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b2_branch2b" | |
| type: "Scale" | |
| bottom: "res4b2_branch2b/bn" | |
| top: "res4b2_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b2_branch2b/bn" | |
| top: "res4b2_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b2_branch2b/bn" | |
| top: "res4b2_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b2_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b2_branch2c" | |
| type: "Scale" | |
| bottom: "res4b2_branch2c/bn" | |
| top: "res4b2_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b2" | |
| type: "Eltwise" | |
| bottom: "res4b1" | |
| bottom: "res4b2_branch2c/bn" | |
| top: "res4b2" | |
| } | |
| layer { | |
| name: "res4b2_relu" | |
| type: "ReLU" | |
| bottom: "res4b2" | |
| top: "res4b2" | |
| } | |
| layer { | |
| name: "res4b3_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b2" | |
| top: "res4b3_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b3_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b3_branch2a" | |
| type: "Scale" | |
| bottom: "res4b3_branch2a/bn" | |
| top: "res4b3_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b3_branch2a/bn" | |
| top: "res4b3_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b3_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b3_branch2a/bn" | |
| top: "res4b3_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b3_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b3_branch2b" | |
| type: "Scale" | |
| bottom: "res4b3_branch2b/bn" | |
| top: "res4b3_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b3_branch2b/bn" | |
| top: "res4b3_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b3_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b3_branch2b/bn" | |
| top: "res4b3_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b3_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b3_branch2c" | |
| type: "Scale" | |
| bottom: "res4b3_branch2c/bn" | |
| top: "res4b3_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b3" | |
| type: "Eltwise" | |
| bottom: "res4b2" | |
| bottom: "res4b3_branch2c/bn" | |
| top: "res4b3" | |
| } | |
| layer { | |
| name: "res4b3_relu" | |
| type: "ReLU" | |
| bottom: "res4b3" | |
| top: "res4b3" | |
| } | |
| layer { | |
| name: "res4b4_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b3" | |
| top: "res4b4_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b4_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b4_branch2a" | |
| type: "Scale" | |
| bottom: "res4b4_branch2a/bn" | |
| top: "res4b4_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b4_branch2a/bn" | |
| top: "res4b4_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b4_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b4_branch2a/bn" | |
| top: "res4b4_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b4_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b4_branch2b" | |
| type: "Scale" | |
| bottom: "res4b4_branch2b/bn" | |
| top: "res4b4_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b4_branch2b/bn" | |
| top: "res4b4_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b4_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b4_branch2b/bn" | |
| top: "res4b4_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b4_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b4_branch2c" | |
| type: "Scale" | |
| bottom: "res4b4_branch2c/bn" | |
| top: "res4b4_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b4" | |
| type: "Eltwise" | |
| bottom: "res4b3" | |
| bottom: "res4b4_branch2c/bn" | |
| top: "res4b4" | |
| } | |
| layer { | |
| name: "res4b4_relu" | |
| type: "ReLU" | |
| bottom: "res4b4" | |
| top: "res4b4" | |
| } | |
| layer { | |
| name: "res4b5_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b4" | |
| top: "res4b5_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b5_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b5_branch2a" | |
| type: "Scale" | |
| bottom: "res4b5_branch2a/bn" | |
| top: "res4b5_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b5_branch2a/bn" | |
| top: "res4b5_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b5_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b5_branch2a/bn" | |
| top: "res4b5_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b5_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b5_branch2b" | |
| type: "Scale" | |
| bottom: "res4b5_branch2b/bn" | |
| top: "res4b5_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b5_branch2b/bn" | |
| top: "res4b5_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b5_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b5_branch2b/bn" | |
| top: "res4b5_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b5_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b5_branch2c" | |
| type: "Scale" | |
| bottom: "res4b5_branch2c/bn" | |
| top: "res4b5_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b5" | |
| type: "Eltwise" | |
| bottom: "res4b4" | |
| bottom: "res4b5_branch2c/bn" | |
| top: "res4b5" | |
| } | |
| layer { | |
| name: "res4b5_relu" | |
| type: "ReLU" | |
| bottom: "res4b5" | |
| top: "res4b5" | |
| } | |
| layer { | |
| name: "res4b6_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b5" | |
| top: "res4b6_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b6_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b6_branch2a" | |
| type: "Scale" | |
| bottom: "res4b6_branch2a/bn" | |
| top: "res4b6_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b6_branch2a/bn" | |
| top: "res4b6_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b6_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b6_branch2a/bn" | |
| top: "res4b6_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b6_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b6_branch2b" | |
| type: "Scale" | |
| bottom: "res4b6_branch2b/bn" | |
| top: "res4b6_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b6_branch2b/bn" | |
| top: "res4b6_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b6_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b6_branch2b/bn" | |
| top: "res4b6_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b6_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b6_branch2c" | |
| type: "Scale" | |
| bottom: "res4b6_branch2c/bn" | |
| top: "res4b6_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b6" | |
| type: "Eltwise" | |
| bottom: "res4b6_branch2c/bn" | |
| bottom: "res4b5" | |
| top: "res4b6" | |
| } | |
| layer { | |
| name: "res4b6_relu" | |
| type: "ReLU" | |
| bottom: "res4b6" | |
| top: "res4b6" | |
| } | |
| layer { | |
| name: "res4b7_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b6" | |
| top: "res4b7_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b7_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b7_branch2a" | |
| type: "Scale" | |
| bottom: "res4b7_branch2a/bn" | |
| top: "res4b7_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b7_branch2a/bn" | |
| top: "res4b7_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b7_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b7_branch2a/bn" | |
| top: "res4b7_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b7_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b7_branch2b" | |
| type: "Scale" | |
| bottom: "res4b7_branch2b/bn" | |
| top: "res4b7_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b7_branch2b/bn" | |
| top: "res4b7_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b7_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b7_branch2b/bn" | |
| top: "res4b7_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b7_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b7_branch2c" | |
| type: "Scale" | |
| bottom: "res4b7_branch2c/bn" | |
| top: "res4b7_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b7" | |
| type: "Eltwise" | |
| bottom: "res4b6" | |
| bottom: "res4b7_branch2c/bn" | |
| top: "res4b7" | |
| } | |
| layer { | |
| name: "res4b7_relu" | |
| type: "ReLU" | |
| bottom: "res4b7" | |
| top: "res4b7" | |
| } | |
| layer { | |
| name: "res4b8_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b7" | |
| top: "res4b8_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b8_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b8_branch2a" | |
| type: "Scale" | |
| bottom: "res4b8_branch2a/bn" | |
| top: "res4b8_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b8_branch2a/bn" | |
| top: "res4b8_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b8_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b8_branch2a/bn" | |
| top: "res4b8_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b8_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b8_branch2b" | |
| type: "Scale" | |
| bottom: "res4b8_branch2b/bn" | |
| top: "res4b8_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b8_branch2b/bn" | |
| top: "res4b8_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b8_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b8_branch2b/bn" | |
| top: "res4b8_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b8_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b8_branch2c" | |
| type: "Scale" | |
| bottom: "res4b8_branch2c/bn" | |
| top: "res4b8_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b8" | |
| type: "Eltwise" | |
| bottom: "res4b7" | |
| bottom: "res4b8_branch2c/bn" | |
| top: "res4b8" | |
| } | |
| layer { | |
| name: "res4b8_relu" | |
| type: "ReLU" | |
| bottom: "res4b8" | |
| top: "res4b8" | |
| } | |
| layer { | |
| name: "res4b9_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b8" | |
| top: "res4b9_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b9_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b9_branch2a" | |
| type: "Scale" | |
| bottom: "res4b9_branch2a/bn" | |
| top: "res4b9_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b9_branch2a/bn" | |
| top: "res4b9_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b9_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b9_branch2a/bn" | |
| top: "res4b9_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b9_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b9_branch2b" | |
| type: "Scale" | |
| bottom: "res4b9_branch2b/bn" | |
| top: "res4b9_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b9_branch2b/bn" | |
| top: "res4b9_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b9_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b9_branch2b/bn" | |
| top: "res4b9_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b9_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b9_branch2c" | |
| type: "Scale" | |
| bottom: "res4b9_branch2c/bn" | |
| top: "res4b9_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b9" | |
| type: "Eltwise" | |
| bottom: "res4b8" | |
| bottom: "res4b9_branch2c/bn" | |
| top: "res4b9" | |
| } | |
| layer { | |
| name: "res4b9_relu" | |
| type: "ReLU" | |
| bottom: "res4b9" | |
| top: "res4b9" | |
| } | |
| layer { | |
| name: "res4b10_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b9" | |
| top: "res4b10_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b10_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b10_branch2a" | |
| type: "Scale" | |
| bottom: "res4b10_branch2a/bn" | |
| top: "res4b10_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b10_branch2a/bn" | |
| top: "res4b10_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b10_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b10_branch2a/bn" | |
| top: "res4b10_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b10_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b10_branch2b" | |
| type: "Scale" | |
| bottom: "res4b10_branch2b/bn" | |
| top: "res4b10_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b10_branch2b/bn" | |
| top: "res4b10_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b10_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b10_branch2b/bn" | |
| top: "res4b10_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b10_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b10_branch2c" | |
| type: "Scale" | |
| bottom: "res4b10_branch2c/bn" | |
| top: "res4b10_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b10" | |
| type: "Eltwise" | |
| bottom: "res4b10_branch2c/bn" | |
| bottom: "res4b9" | |
| top: "res4b10" | |
| } | |
| layer { | |
| name: "res4b10_relu" | |
| type: "ReLU" | |
| bottom: "res4b10" | |
| top: "res4b10" | |
| } | |
| layer { | |
| name: "res4b11_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b10" | |
| top: "res4b11_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b11_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b11_branch2a" | |
| type: "Scale" | |
| bottom: "res4b11_branch2a/bn" | |
| top: "res4b11_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b11_branch2a/bn" | |
| top: "res4b11_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b11_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b11_branch2a/bn" | |
| top: "res4b11_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b11_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b11_branch2b" | |
| type: "Scale" | |
| bottom: "res4b11_branch2b/bn" | |
| top: "res4b11_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b11_branch2b/bn" | |
| top: "res4b11_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b11_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b11_branch2b/bn" | |
| top: "res4b11_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b11_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b11_branch2c" | |
| type: "Scale" | |
| bottom: "res4b11_branch2c/bn" | |
| top: "res4b11_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b11" | |
| type: "Eltwise" | |
| bottom: "res4b10" | |
| bottom: "res4b11_branch2c/bn" | |
| top: "res4b11" | |
| } | |
| layer { | |
| name: "res4b11_relu" | |
| type: "ReLU" | |
| bottom: "res4b11" | |
| top: "res4b11" | |
| } | |
| layer { | |
| name: "res4b12_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b11" | |
| top: "res4b12_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b12_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b12_branch2a" | |
| type: "Scale" | |
| bottom: "res4b12_branch2a/bn" | |
| top: "res4b12_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b12_branch2a/bn" | |
| top: "res4b12_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b12_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b12_branch2a/bn" | |
| top: "res4b12_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b12_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b12_branch2b" | |
| type: "Scale" | |
| bottom: "res4b12_branch2b/bn" | |
| top: "res4b12_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b12_branch2b/bn" | |
| top: "res4b12_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b12_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b12_branch2b/bn" | |
| top: "res4b12_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b12_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b12_branch2c" | |
| type: "Scale" | |
| bottom: "res4b12_branch2c/bn" | |
| top: "res4b12_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b12" | |
| type: "Eltwise" | |
| bottom: "res4b11" | |
| bottom: "res4b12_branch2c/bn" | |
| top: "res4b12" | |
| } | |
| layer { | |
| name: "res4b12_relu" | |
| type: "ReLU" | |
| bottom: "res4b12" | |
| top: "res4b12" | |
| } | |
| layer { | |
| name: "res4b13_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b12" | |
| top: "res4b13_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b13_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b13_branch2a" | |
| type: "Scale" | |
| bottom: "res4b13_branch2a/bn" | |
| top: "res4b13_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b13_branch2a/bn" | |
| top: "res4b13_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b13_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b13_branch2a/bn" | |
| top: "res4b13_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b13_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b13_branch2b" | |
| type: "Scale" | |
| bottom: "res4b13_branch2b/bn" | |
| top: "res4b13_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b13_branch2b/bn" | |
| top: "res4b13_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b13_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b13_branch2b/bn" | |
| top: "res4b13_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b13_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b13_branch2c" | |
| type: "Scale" | |
| bottom: "res4b13_branch2c/bn" | |
| top: "res4b13_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b13" | |
| type: "Eltwise" | |
| bottom: "res4b12" | |
| bottom: "res4b13_branch2c/bn" | |
| top: "res4b13" | |
| } | |
| layer { | |
| name: "res4b13_relu" | |
| type: "ReLU" | |
| bottom: "res4b13" | |
| top: "res4b13" | |
| } | |
| layer { | |
| name: "res4b14_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b13" | |
| top: "res4b14_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b14_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b14_branch2a" | |
| type: "Scale" | |
| bottom: "res4b14_branch2a/bn" | |
| top: "res4b14_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b14_branch2a/bn" | |
| top: "res4b14_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b14_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b14_branch2a/bn" | |
| top: "res4b14_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b14_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b14_branch2b" | |
| type: "Scale" | |
| bottom: "res4b14_branch2b/bn" | |
| top: "res4b14_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b14_branch2b/bn" | |
| top: "res4b14_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b14_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b14_branch2b/bn" | |
| top: "res4b14_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b14_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b14_branch2c" | |
| type: "Scale" | |
| bottom: "res4b14_branch2c/bn" | |
| top: "res4b14_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b14" | |
| type: "Eltwise" | |
| bottom: "res4b13" | |
| bottom: "res4b14_branch2c/bn" | |
| top: "res4b14" | |
| } | |
| layer { | |
| name: "res4b14_relu" | |
| type: "ReLU" | |
| bottom: "res4b14" | |
| top: "res4b14" | |
| } | |
| layer { | |
| name: "res4b15_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b14" | |
| top: "res4b15_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b15_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b15_branch2a" | |
| type: "Scale" | |
| bottom: "res4b15_branch2a/bn" | |
| top: "res4b15_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b15_branch2a/bn" | |
| top: "res4b15_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b15_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b15_branch2a/bn" | |
| top: "res4b15_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b15_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b15_branch2b" | |
| type: "Scale" | |
| bottom: "res4b15_branch2b/bn" | |
| top: "res4b15_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b15_branch2b/bn" | |
| top: "res4b15_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b15_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b15_branch2b/bn" | |
| top: "res4b15_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b15_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b15_branch2c" | |
| type: "Scale" | |
| bottom: "res4b15_branch2c/bn" | |
| top: "res4b15_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b15" | |
| type: "Eltwise" | |
| bottom: "res4b15_branch2c/bn" | |
| bottom: "res4b14" | |
| top: "res4b15" | |
| } | |
| layer { | |
| name: "res4b15_relu" | |
| type: "ReLU" | |
| bottom: "res4b15" | |
| top: "res4b15" | |
| } | |
| layer { | |
| name: "res4b16_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b15" | |
| top: "res4b16_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b16_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b16_branch2a" | |
| type: "Scale" | |
| bottom: "res4b16_branch2a/bn" | |
| top: "res4b16_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b16_branch2a/bn" | |
| top: "res4b16_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b16_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b16_branch2a/bn" | |
| top: "res4b16_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b16_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b16_branch2b" | |
| type: "Scale" | |
| bottom: "res4b16_branch2b/bn" | |
| top: "res4b16_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b16_branch2b/bn" | |
| top: "res4b16_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b16_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b16_branch2b/bn" | |
| top: "res4b16_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b16_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b16_branch2c" | |
| type: "Scale" | |
| bottom: "res4b16_branch2c/bn" | |
| top: "res4b16_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b16" | |
| type: "Eltwise" | |
| bottom: "res4b15" | |
| bottom: "res4b16_branch2c/bn" | |
| top: "res4b16" | |
| } | |
| layer { | |
| name: "res4b16_relu" | |
| type: "ReLU" | |
| bottom: "res4b16" | |
| top: "res4b16" | |
| } | |
| layer { | |
| name: "res4b17_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b16" | |
| top: "res4b17_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b17_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b17_branch2a" | |
| type: "Scale" | |
| bottom: "res4b17_branch2a/bn" | |
| top: "res4b17_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b17_branch2a/bn" | |
| top: "res4b17_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b17_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b17_branch2a/bn" | |
| top: "res4b17_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b17_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b17_branch2b" | |
| type: "Scale" | |
| bottom: "res4b17_branch2b/bn" | |
| top: "res4b17_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b17_branch2b/bn" | |
| top: "res4b17_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b17_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b17_branch2b/bn" | |
| top: "res4b17_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b17_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b17_branch2c" | |
| type: "Scale" | |
| bottom: "res4b17_branch2c/bn" | |
| top: "res4b17_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b17" | |
| type: "Eltwise" | |
| bottom: "res4b17_branch2c/bn" | |
| bottom: "res4b16" | |
| top: "res4b17" | |
| } | |
| layer { | |
| name: "res4b17_relu" | |
| type: "ReLU" | |
| bottom: "res4b17" | |
| top: "res4b17" | |
| } | |
| layer { | |
| name: "res4b18_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b17" | |
| top: "res4b18_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b18_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b18_branch2a" | |
| type: "Scale" | |
| bottom: "res4b18_branch2a/bn" | |
| top: "res4b18_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b18_branch2a/bn" | |
| top: "res4b18_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b18_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b18_branch2a/bn" | |
| top: "res4b18_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b18_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b18_branch2b" | |
| type: "Scale" | |
| bottom: "res4b18_branch2b/bn" | |
| top: "res4b18_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b18_branch2b/bn" | |
| top: "res4b18_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b18_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b18_branch2b/bn" | |
| top: "res4b18_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b18_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b18_branch2c" | |
| type: "Scale" | |
| bottom: "res4b18_branch2c/bn" | |
| top: "res4b18_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b18" | |
| type: "Eltwise" | |
| bottom: "res4b18_branch2c/bn" | |
| bottom: "res4b17" | |
| top: "res4b18" | |
| } | |
| layer { | |
| name: "res4b18_relu" | |
| type: "ReLU" | |
| bottom: "res4b18" | |
| top: "res4b18" | |
| } | |
| layer { | |
| name: "res4b19_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b18" | |
| top: "res4b19_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b19_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b19_branch2a" | |
| type: "Scale" | |
| bottom: "res4b19_branch2a/bn" | |
| top: "res4b19_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b19_branch2a/bn" | |
| top: "res4b19_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b19_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b19_branch2a/bn" | |
| top: "res4b19_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b19_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b19_branch2b" | |
| type: "Scale" | |
| bottom: "res4b19_branch2b/bn" | |
| top: "res4b19_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b19_branch2b/bn" | |
| top: "res4b19_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b19_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b19_branch2b/bn" | |
| top: "res4b19_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b19_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b19_branch2c" | |
| type: "Scale" | |
| bottom: "res4b19_branch2c/bn" | |
| top: "res4b19_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b19" | |
| type: "Eltwise" | |
| bottom: "res4b18" | |
| bottom: "res4b19_branch2c/bn" | |
| top: "res4b19" | |
| } | |
| layer { | |
| name: "res4b19_relu" | |
| type: "ReLU" | |
| bottom: "res4b19" | |
| top: "res4b19" | |
| } | |
| layer { | |
| name: "res4b20_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b19" | |
| top: "res4b20_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b20_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b20_branch2a" | |
| type: "Scale" | |
| bottom: "res4b20_branch2a/bn" | |
| top: "res4b20_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b20_branch2a/bn" | |
| top: "res4b20_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b20_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b20_branch2a/bn" | |
| top: "res4b20_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b20_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b20_branch2b" | |
| type: "Scale" | |
| bottom: "res4b20_branch2b/bn" | |
| top: "res4b20_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b20_branch2b/bn" | |
| top: "res4b20_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b20_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b20_branch2b/bn" | |
| top: "res4b20_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b20_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b20_branch2c" | |
| type: "Scale" | |
| bottom: "res4b20_branch2c/bn" | |
| top: "res4b20_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b20" | |
| type: "Eltwise" | |
| bottom: "res4b20_branch2c/bn" | |
| bottom: "res4b19" | |
| top: "res4b20" | |
| } | |
| layer { | |
| name: "res4b20_relu" | |
| type: "ReLU" | |
| bottom: "res4b20" | |
| top: "res4b20" | |
| } | |
| layer { | |
| name: "res4b21_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b20" | |
| top: "res4b21_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b21_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b21_branch2a" | |
| type: "Scale" | |
| bottom: "res4b21_branch2a/bn" | |
| top: "res4b21_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b21_branch2a/bn" | |
| top: "res4b21_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b21_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b21_branch2a/bn" | |
| top: "res4b21_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b21_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b21_branch2b" | |
| type: "Scale" | |
| bottom: "res4b21_branch2b/bn" | |
| top: "res4b21_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b21_branch2b/bn" | |
| top: "res4b21_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b21_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b21_branch2b/bn" | |
| top: "res4b21_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b21_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b21_branch2c" | |
| type: "Scale" | |
| bottom: "res4b21_branch2c/bn" | |
| top: "res4b21_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b21" | |
| type: "Eltwise" | |
| bottom: "res4b21_branch2c/bn" | |
| bottom: "res4b20" | |
| top: "res4b21" | |
| } | |
| layer { | |
| name: "res4b21_relu" | |
| type: "ReLU" | |
| bottom: "res4b21" | |
| top: "res4b21" | |
| } | |
| layer { | |
| name: "res4b22_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b21" | |
| top: "res4b22_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b22_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b22_branch2a" | |
| type: "Scale" | |
| bottom: "res4b22_branch2a/bn" | |
| top: "res4b22_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b22_branch2a/bn" | |
| top: "res4b22_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b22_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b22_branch2a/bn" | |
| top: "res4b22_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b22_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b22_branch2b" | |
| type: "Scale" | |
| bottom: "res4b22_branch2b/bn" | |
| top: "res4b22_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b22_branch2b/bn" | |
| top: "res4b22_branch2b/bn" | |
| } | |
| layer { | |
| name: "res4b22_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b22_branch2b/bn" | |
| top: "res4b22_branch2c" | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn4b22_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale4b22_branch2c" | |
| type: "Scale" | |
| bottom: "res4b22_branch2c/bn" | |
| top: "res4b22_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b22" | |
| type: "Eltwise" | |
| bottom: "res4b22_branch2c/bn" | |
| bottom: "res4b21" | |
| top: "res4b22" | |
| } | |
| layer { | |
| name: "res4b22_relu" | |
| type: "ReLU" | |
| bottom: "res4b22" | |
| top: "res4b22" | |
| } | |
| layer { | |
| name: "res5a_branch1" | |
| type: "Convolution" | |
| bottom: "res4b22" | |
| top: "res5a_branch1" | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch1" | |
| type: "Scale" | |
| bottom: "res5a_branch1/bn" | |
| top: "res5a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b22" | |
| top: "res5a_branch2a" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| bottom: "res5a_branch2a/bn" | |
| top: "res5a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5a_branch2a/bn" | |
| top: "res5a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| bottom: "res5a_branch2a/bn" | |
| top: "res5a_branch2b" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| bottom: "res5a_branch2b/bn" | |
| top: "res5a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5a_branch2b/bn" | |
| top: "res5a_branch2b/bn" | |
| } | |
| layer { | |
| name: "res5a_branch2c" | |
| type: "Convolution" | |
| bottom: "res5a_branch2b/bn" | |
| top: "res5a_branch2c" | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2c" | |
| type: "Scale" | |
| bottom: "res5a_branch2c/bn" | |
| top: "res5a_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a" | |
| type: "Eltwise" | |
| bottom: "res5a_branch2c/bn" | |
| bottom: "res5a_branch1/bn" | |
| top: "res5a" | |
| } | |
| layer { | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| bottom: "res5a" | |
| top: "res5a" | |
| } | |
| layer { | |
| name: "res5b_branch2a" | |
| type: "Convolution" | |
| bottom: "res5a" | |
| top: "res5b_branch2a" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| bottom: "res5b_branch2a/bn" | |
| top: "res5b_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5b_branch2a/bn" | |
| top: "res5b_branch2a/bn" | |
| } | |
| layer { | |
| name: "res5b_branch2b" | |
| type: "Convolution" | |
| bottom: "res5b_branch2a/bn" | |
| top: "res5b_branch2b" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| bottom: "res5b_branch2b/bn" | |
| top: "res5b_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5b_branch2b/bn" | |
| top: "res5b_branch2b/bn" | |
| } | |
| layer { | |
| name: "res5b_branch2c" | |
| type: "Convolution" | |
| bottom: "res5b_branch2b/bn" | |
| top: "res5b_branch2c" | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2c" | |
| type: "Scale" | |
| bottom: "res5b_branch2c/bn" | |
| top: "res5b_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b" | |
| type: "Eltwise" | |
| bottom: "res5a" | |
| bottom: "res5b_branch2c/bn" | |
| top: "res5b" | |
| } | |
| layer { | |
| name: "res5b_relu" | |
| type: "ReLU" | |
| bottom: "res5b" | |
| top: "res5b" | |
| } | |
| layer { | |
| name: "res5c_branch2a" | |
| type: "Convolution" | |
| bottom: "res5b" | |
| top: "res5c_branch2a" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5c_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5c_branch2a" | |
| type: "Scale" | |
| bottom: "res5c_branch2a/bn" | |
| top: "res5c_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5c_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5c_branch2a/bn" | |
| top: "res5c_branch2a/bn" | |
| } | |
| layer { | |
| name: "res5c_branch2b" | |
| type: "Convolution" | |
| bottom: "res5c_branch2a/bn" | |
| top: "res5c_branch2b" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5c_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5c_branch2b" | |
| type: "Scale" | |
| bottom: "res5c_branch2b/bn" | |
| top: "res5c_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5c_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5c_branch2b/bn" | |
| top: "res5c_branch2b/bn" | |
| } | |
| layer { | |
| name: "res5c_branch2c" | |
| type: "Convolution" | |
| bottom: "res5c_branch2b/bn" | |
| top: "res5c_branch2c" | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "bn5c_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c/bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "scale5c_branch2c" | |
| type: "Scale" | |
| bottom: "res5c_branch2c/bn" | |
| top: "res5c_branch2c/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5c" | |
| type: "Eltwise" | |
| bottom: "res5c_branch2c/bn" | |
| bottom: "res5b" | |
| top: "res5c" | |
| } | |
| layer { | |
| name: "res5c_relu" | |
| type: "ReLU" | |
| bottom: "res5c" | |
| top: "res5c" | |
| } | |
| layer { | |
| name: "pool5" | |
| type: "Pooling" | |
| bottom: "res5c" | |
| top: "pool5" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 7 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "fc1000" | |
| type: "InnerProduct" | |
| bottom: "pool5" | |
| top: "fc1000" | |
| inner_product_param { | |
| num_output: 1000 | |
| } | |
| } | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "fc1000" | |
| bottom: "label" | |
| top: "loss/loss" | |
| } | |
| layer { | |
| name: "accuracy/top1" | |
| type: "Accuracy" | |
| bottom: "fc1000" | |
| bottom: "label" | |
| top: "accuracy@1" | |
| include { | |
| phase: TEST | |
| } | |
| accuracy_param { | |
| top_k: 1 | |
| } | |
| } | |
| layer { | |
| name: "accuracy/top5" | |
| type: "Accuracy" | |
| bottom: "fc1000" | |
| bottom: "label" | |
| top: "accuracy@5" | |
| include { | |
| phase: TEST | |
| } | |
| accuracy_param { | |
| top_k: 5 | |
| } | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment