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April 3, 2019 12:15
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Caffe Resnet-50 type D network definition
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| name: "ResNet-50D" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mirror: true | |
| crop_size: 224 | |
| scale: 0.0078125 | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| random_aspect_ratio_param { | |
| min_area_ratio: 0.08 | |
| max_area_ratio: 1 | |
| aspect_ratio_change: 0.75 | |
| resize_param { | |
| interp_mode: CUBIC | |
| } | |
| } | |
| } | |
| data_param { | |
| source: "examples/imagenet/ilsvrc12_train_lmdb" | |
| batch_size: 32 | |
| backend: LMDB | |
| prefetch: 2 | |
| shuffle: true | |
| } | |
| } | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TEST | |
| } | |
| transform_param { | |
| mirror: false | |
| crop_size: 224 | |
| scale: 0.0078125 | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| random_resize_param { | |
| min_size: 256 | |
| max_size: 256 | |
| resize_param { | |
| interp_mode: CUBIC | |
| } | |
| } | |
| } | |
| data_param { | |
| source: "examples/imagenet/ilsvrc12_val_lmdb" | |
| batch_size: 50 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| bottom: "data" | |
| top: "conv1_1" | |
| name: "conv1_1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| variance_norm: FAN_OUT | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_1" | |
| top: "conv1_2" | |
| name: "conv1_2" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| variance_norm: FAN_OUT | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_2" | |
| top: "conv1_3" | |
| name: "conv1_3" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| variance_norm: FAN_OUT | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_3" | |
| top: "conv1_3" | |
| name: "bn_conv1" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_3" | |
| top: "conv1_3" | |
| name: "scale_conv1" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_3" | |
| top: "conv1_3" | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "conv1_3" | |
| top: "pool1" | |
| name: "pool1" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| name: "bn2a_branch1" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "bn2a_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2b" | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "bn2a_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "res2a_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2c" | |
| name: "res2a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| name: "bn2a_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| name: "scale2a_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| bottom: "res2a_branch2c" | |
| top: "res2a" | |
| name: "res2a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2a" | |
| top: "res2a" | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2a" | |
| top: "res2b_branch2a" | |
| name: "res2b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "bn2b_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "res2b_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2b" | |
| name: "res2b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "bn2b_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "res2b_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2c" | |
| name: "res2b_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c" | |
| name: "bn2b_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c" | |
| name: "scale2b_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2a" | |
| bottom: "res2b_branch2c" | |
| top: "res2b" | |
| name: "res2b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res2b" | |
| name: "res2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res2c_branch2a" | |
| name: "res2c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| name: "bn2c_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| name: "scale2c_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| name: "res2c_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2b" | |
| name: "res2c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| name: "bn2c_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| name: "scale2c_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| name: "res2c_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2c" | |
| name: "res2c_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c" | |
| name: "bn2c_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 0 } | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c" | |
| name: "scale2c_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2b" | |
| bottom: "res2c_branch2c" | |
| top: "res2c" | |
| name: "res2c" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res2c" | |
| name: "res2c_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res3a_branch1a" | |
| name: "res3a_branch1a" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 2 | |
| stride: 2 | |
| pool: AVE | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1a" | |
| top: "res3a_branch1b" | |
| name: "res3a_branch1b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1b" | |
| top: "res3a_branch1b" | |
| name: "bn3a_branch1b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1b" | |
| top: "res3a_branch1b" | |
| name: "scale3a_branch1b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res3a_branch2a" | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "bn3a_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2b" | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "bn3a_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "res3a_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2c" | |
| name: "res3a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| name: "bn3a_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| name: "scale3a_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1b" | |
| bottom: "res3a_branch2c" | |
| top: "res3a" | |
| name: "res3a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3a" | |
| top: "res3a" | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3a" | |
| top: "res3b_branch2a" | |
| name: "res3b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2a" | |
| name: "bn3b_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2a" | |
| name: "scale3b_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2a" | |
| name: "res3b_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2b" | |
| name: "res3b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2b" | |
| top: "res3b_branch2b" | |
| name: "bn3b_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2b" | |
| top: "res3b_branch2b" | |
| name: "scale3b_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2b" | |
| top: "res3b_branch2b" | |
| name: "res3b_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2b" | |
| top: "res3b_branch2c" | |
| name: "res3b_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2c" | |
| top: "res3b_branch2c" | |
| name: "bn3b_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2c" | |
| top: "res3b_branch2c" | |
| name: "scale3b_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3a" | |
| bottom: "res3b_branch2c" | |
| top: "res3b" | |
| name: "res3b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3b" | |
| top: "res3b" | |
| name: "res3b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3b" | |
| top: "res3c_branch2a" | |
| name: "res3c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2a" | |
| name: "bn3c_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2a" | |
| name: "scale3c_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2a" | |
| name: "res3c_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2b" | |
| name: "res3c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2b" | |
| top: "res3c_branch2b" | |
| name: "bn3c_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2b" | |
| top: "res3c_branch2b" | |
| name: "scale3c_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2b" | |
| top: "res3c_branch2b" | |
| name: "res3c_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2b" | |
| top: "res3c_branch2c" | |
| name: "res3c_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2c" | |
| top: "res3c_branch2c" | |
| name: "bn3c_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2c" | |
| top: "res3c_branch2c" | |
| name: "scale3c_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3b" | |
| bottom: "res3c_branch2c" | |
| top: "res3c" | |
| name: "res3c" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3c" | |
| top: "res3c" | |
| name: "res3c_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3c" | |
| top: "res3d_branch2a" | |
| name: "res3d_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2a" | |
| top: "res3d_branch2a" | |
| name: "bn3d_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2a" | |
| top: "res3d_branch2a" | |
| name: "scale3d_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2a" | |
| top: "res3d_branch2a" | |
| name: "res3d_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2a" | |
| top: "res3d_branch2b" | |
| name: "res3d_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2b" | |
| top: "res3d_branch2b" | |
| name: "bn3d_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2b" | |
| top: "res3d_branch2b" | |
| name: "scale3d_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2b" | |
| top: "res3d_branch2b" | |
| name: "res3d_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2b" | |
| top: "res3d_branch2c" | |
| name: "res3d_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2c" | |
| top: "res3d_branch2c" | |
| name: "bn3d_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 0 } | |
| } | |
| } | |
| layer { | |
| bottom: "res3d_branch2c" | |
| top: "res3d_branch2c" | |
| name: "scale3d_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3c" | |
| bottom: "res3d_branch2c" | |
| top: "res3d" | |
| name: "res3d" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3d" | |
| top: "res3d" | |
| name: "res3d_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res3d" | |
| top: "res4a_branch1a" | |
| name: "res4a_branch1a" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 2 | |
| stride: 2 | |
| pool: AVE | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1a" | |
| top: "res4a_branch1b" | |
| name: "res4a_branch1b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1b" | |
| top: "res4a_branch1b" | |
| name: "bn4a_branch1b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1b" | |
| top: "res4a_branch1b" | |
| name: "scale4a_branch1b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3d" | |
| top: "res4a_branch2a" | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "bn4a_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2b" | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "bn4a_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "res4a_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2c" | |
| name: "res4a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| name: "bn4a_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| name: "scale4a_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1b" | |
| bottom: "res4a_branch2c" | |
| top: "res4a" | |
| name: "res4a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4a" | |
| top: "res4a" | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4a" | |
| top: "res4b_branch2a" | |
| name: "res4b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2a" | |
| name: "bn4b_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2a" | |
| name: "scale4b_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2a" | |
| name: "res4b_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2b" | |
| name: "res4b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2b" | |
| top: "res4b_branch2b" | |
| name: "bn4b_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2b" | |
| top: "res4b_branch2b" | |
| name: "scale4b_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2b" | |
| top: "res4b_branch2b" | |
| name: "res4b_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2b" | |
| top: "res4b_branch2c" | |
| name: "res4b_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2c" | |
| top: "res4b_branch2c" | |
| name: "bn4b_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2c" | |
| top: "res4b_branch2c" | |
| name: "scale4b_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4a" | |
| bottom: "res4b_branch2c" | |
| top: "res4b" | |
| name: "res4b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4b" | |
| top: "res4b" | |
| name: "res4b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4b" | |
| top: "res4c_branch2a" | |
| name: "res4c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2a" | |
| name: "bn4c_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2a" | |
| name: "scale4c_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2a" | |
| name: "res4c_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2b" | |
| name: "res4c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2b" | |
| top: "res4c_branch2b" | |
| name: "bn4c_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2b" | |
| top: "res4c_branch2b" | |
| name: "scale4c_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2b" | |
| top: "res4c_branch2b" | |
| name: "res4c_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2b" | |
| top: "res4c_branch2c" | |
| name: "res4c_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2c" | |
| top: "res4c_branch2c" | |
| name: "bn4c_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2c" | |
| top: "res4c_branch2c" | |
| name: "scale4c_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4b" | |
| bottom: "res4c_branch2c" | |
| top: "res4c" | |
| name: "res4c" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4c" | |
| top: "res4c" | |
| name: "res4c_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4c" | |
| top: "res4d_branch2a" | |
| name: "res4d_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2a" | |
| name: "bn4d_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2a" | |
| name: "scale4d_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2a" | |
| name: "res4d_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2b" | |
| name: "res4d_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2b" | |
| top: "res4d_branch2b" | |
| name: "bn4d_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2b" | |
| top: "res4d_branch2b" | |
| name: "scale4d_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2b" | |
| top: "res4d_branch2b" | |
| name: "res4d_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2b" | |
| top: "res4d_branch2c" | |
| name: "res4d_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2c" | |
| top: "res4d_branch2c" | |
| name: "bn4d_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2c" | |
| top: "res4d_branch2c" | |
| name: "scale4d_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4c" | |
| bottom: "res4d_branch2c" | |
| top: "res4d" | |
| name: "res4d" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4d" | |
| top: "res4d" | |
| name: "res4d_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4d" | |
| top: "res4e_branch2a" | |
| name: "res4e_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2a" | |
| top: "res4e_branch2a" | |
| name: "bn4e_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2a" | |
| top: "res4e_branch2a" | |
| name: "scale4e_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2a" | |
| top: "res4e_branch2a" | |
| name: "res4e_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2a" | |
| top: "res4e_branch2b" | |
| name: "res4e_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2b" | |
| top: "res4e_branch2b" | |
| name: "bn4e_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2b" | |
| top: "res4e_branch2b" | |
| name: "scale4e_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2b" | |
| top: "res4e_branch2b" | |
| name: "res4e_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2b" | |
| top: "res4e_branch2c" | |
| name: "res4e_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2c" | |
| top: "res4e_branch2c" | |
| name: "bn4e_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4e_branch2c" | |
| top: "res4e_branch2c" | |
| name: "scale4e_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4d" | |
| bottom: "res4e_branch2c" | |
| top: "res4e" | |
| name: "res4e" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4e" | |
| top: "res4e" | |
| name: "res4e_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4e" | |
| top: "res4f_branch2a" | |
| name: "res4f_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2a" | |
| top: "res4f_branch2a" | |
| name: "bn4f_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2a" | |
| top: "res4f_branch2a" | |
| name: "scale4f_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2a" | |
| top: "res4f_branch2a" | |
| name: "res4f_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2a" | |
| top: "res4f_branch2b" | |
| name: "res4f_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2b" | |
| top: "res4f_branch2b" | |
| name: "bn4f_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2b" | |
| top: "res4f_branch2b" | |
| name: "scale4f_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2b" | |
| top: "res4f_branch2b" | |
| name: "res4f_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2b" | |
| top: "res4f_branch2c" | |
| name: "res4f_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2c" | |
| top: "res4f_branch2c" | |
| name: "bn4f_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 0 } | |
| } | |
| } | |
| layer { | |
| bottom: "res4f_branch2c" | |
| top: "res4f_branch2c" | |
| name: "scale4f_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4e" | |
| bottom: "res4f_branch2c" | |
| top: "res4f" | |
| name: "res4f" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4f" | |
| top: "res4f" | |
| name: "res4f_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res4f" | |
| top: "res5a_branch1a" | |
| name: "res5a_branch1a" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 2 | |
| stride: 2 | |
| pool: AVE | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1a" | |
| top: "res5a_branch1b" | |
| name: "res5a_branch1b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1b" | |
| top: "res5a_branch1b" | |
| name: "bn5a_branch1b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1b" | |
| top: "res5a_branch1b" | |
| name: "scale5a_branch1b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4f" | |
| top: "res5a_branch2a" | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "bn5a_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2b" | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "bn5a_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "res5a_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2c" | |
| name: "res5a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| name: "bn5a_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| name: "scale5a_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1b" | |
| bottom: "res5a_branch2c" | |
| top: "res5a" | |
| name: "res5a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5a" | |
| top: "res5a" | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5a" | |
| top: "res5b_branch2a" | |
| name: "res5b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "bn5b_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "res5b_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2b" | |
| name: "res5b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "bn5b_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "res5b_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2c" | |
| name: "res5b_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c" | |
| name: "bn5b_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c" | |
| name: "scale5b_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5a" | |
| bottom: "res5b_branch2c" | |
| top: "res5b" | |
| name: "res5b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5b" | |
| name: "res5b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5c_branch2a" | |
| name: "res5c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| name: "bn5c_branch2a" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| name: "scale5c_branch2a" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| name: "res5c_branch2a_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2b" | |
| name: "res5c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| name: "bn5c_branch2b" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 1 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| name: "scale5c_branch2b" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| name: "res5c_branch2b_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2c" | |
| name: "res5c_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c" | |
| name: "bn5c_branch2c" | |
| type: "BatchNorm" | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| param { lr_mult: 0 } | |
| batch_norm_param { | |
| moving_average_fraction: 0.9 | |
| filler { value: 0 } | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c" | |
| name: "scale5c_branch2c" | |
| type: "Scale" | |
| param { decay_mult: 0 } | |
| param { decay_mult: 0 } | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5b" | |
| bottom: "res5c_branch2c" | |
| top: "res5c" | |
| name: "res5c" | |
| type: "Eltwise" | |
| eltwise_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5c" | |
| top: "res5c" | |
| name: "res5c_relu" | |
| type: "ReLU" | |
| relu_param { | |
| } | |
| } | |
| layer { | |
| bottom: "res5c" | |
| top: "pool5" | |
| name: "pool5" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 7 | |
| stride: 1 | |
| pool: AVE | |
| } | |
| } | |
| layer { | |
| bottom: "pool5" | |
| top: "fc1000" | |
| name: "fc1000" | |
| type: "InnerProduct" | |
| inner_product_param { | |
| num_output: 1000 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "fc1000" | |
| bottom: "label" | |
| top: "loss" | |
| name: "prob" | |
| type: "SoftmaxWithLoss" | |
| } | |
| layer { | |
| name: "loss3/top-1" | |
| type: "Accuracy" | |
| bottom: "fc1000" | |
| bottom: "label" | |
| top: "loss3/top-1" | |
| } | |
| layer { | |
| name: "loss3/top-5" | |
| type: "Accuracy" | |
| bottom: "fc1000" | |
| bottom: "label" | |
| top: "loss3/top-5" | |
| accuracy_param { | |
| top_k: 5 | |
| } | |
| } |
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