Created
March 15, 2019 10:30
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| name: "WFLW_wo_mp" | |
| # data ------------------------------------ | |
| input: "data" | |
| input_shape { | |
| dim: 1 | |
| dim: 1 | |
| dim: 256 | |
| dim: 256 | |
| } | |
| # net ------------------------------------- | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "conv1" | |
| top: "conv1tmp" | |
| } | |
| layer { | |
| name: "conv1/bn_scale" | |
| type: "Scale" | |
| bottom: "conv1tmp" | |
| top: "conv1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv1/bn/relu" | |
| type: "PReLU" | |
| bottom: "conv1/bn" | |
| top: "conv1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "conv1/bn" | |
| top: "pre_res_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "pre_res_1/branch1/conv1_1x1" | |
| top: "pre_res_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "pre_res_1/branch1/conv1_1x1tmp" | |
| top: "pre_res_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "pre_res_1/branch1/conv1_1x1/bn" | |
| top: "pre_res_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "pre_res_1/branch1/conv1_1x1/bn" | |
| top: "pre_res_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "pre_res_1/branch1/conv2_3x3" | |
| top: "pre_res_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "pre_res_1/branch1/conv2_3x3tmp" | |
| top: "pre_res_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "pre_res_1/branch1/conv2_3x3/bn" | |
| top: "pre_res_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "pre_res_1/branch1/conv2_3x3/bn" | |
| top: "pre_res_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1/branch2/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "conv1/bn" | |
| top: "pre_res_1/branch2/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pre_res_1" | |
| type: "Eltwise" | |
| bottom: "pre_res_1/branch2/conv1_1x1" | |
| bottom: "pre_res_1/branch1/conv3_1x1" | |
| top: "pre_res_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "pool1_3x3_s2" | |
| type: "Pooling" | |
| bottom: "pre_res_1" | |
| top: "pool1_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "pool1_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "pool1_3x3_s2" | |
| top: "pool1_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "pool1_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "pool1_3x3_s2tmp" | |
| top: "pool1_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "pool1_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "pool1_3x3_s2/bn" | |
| top: "pool1_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "pool1_3x3_s2/bn" | |
| top: "pre_res_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "pre_res_2/branch1/conv1_1x1" | |
| top: "pre_res_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "pre_res_2/branch1/conv1_1x1tmp" | |
| top: "pre_res_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "pre_res_2/branch1/conv1_1x1/bn" | |
| top: "pre_res_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "pre_res_2/branch1/conv1_1x1/bn" | |
| top: "pre_res_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "pre_res_2/branch1/conv2_3x3" | |
| top: "pre_res_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "pre_res_2/branch1/conv2_3x3tmp" | |
| top: "pre_res_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "pre_res_2/branch1/conv2_3x3/bn" | |
| top: "pre_res_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "pre_res_2/branch1/conv2_3x3/bn" | |
| top: "pre_res_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2" | |
| type: "Eltwise" | |
| bottom: "pre_res_2/branch1/conv3_1x1" | |
| bottom: "pool1_3x3_s2" | |
| top: "pre_res_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "pre_res_2" | |
| top: "pre_res_2tmp" | |
| } | |
| layer { | |
| name: "pre_res_2/bn_scale" | |
| type: "Scale" | |
| bottom: "pre_res_2tmp" | |
| top: "pre_res_2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "pre_res_2/bn/relu" | |
| type: "PReLU" | |
| bottom: "pre_res_2/bn" | |
| top: "pre_res_2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "pre_res_2/bn" | |
| top: "hourglass_0/output/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_0/output/branch1/conv1_1x1" | |
| top: "hourglass_0/output/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_0/output/branch1/conv1_1x1tmp" | |
| top: "hourglass_0/output/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_0/output/branch1/conv1_1x1/bn" | |
| top: "hourglass_0/output/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_0/output/branch1/conv1_1x1/bn" | |
| top: "hourglass_0/output/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_0/output/branch1/conv2_3x3" | |
| top: "hourglass_0/output/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_0/output/branch1/conv2_3x3tmp" | |
| top: "hourglass_0/output/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_0/output/branch1/conv2_3x3/bn" | |
| top: "hourglass_0/output/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_0/output/branch1/conv2_3x3/bn" | |
| top: "hourglass_0/output/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/branch2/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "pre_res_2/bn" | |
| top: "hourglass_0/output/branch2/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_0/output/branch2/conv1_1x1" | |
| bottom: "hourglass_0/output/branch1/conv3_1x1" | |
| top: "hourglass_0/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool1_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_0/output" | |
| top: "hourglass_1/pool1_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool1_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/pool1_2x2_s2" | |
| top: "hourglass_1/pool1_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/pool1_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/pool1_2x2_s2tmp" | |
| top: "hourglass_1/pool1_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool1_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/pool1_2x2_s2/bn" | |
| top: "hourglass_1/pool1_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/pool1_2x2_s2/bn" | |
| top: "hourglass_1/lower_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv1_1x1" | |
| top: "hourglass_1/lower_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/lower_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv2_3x3" | |
| top: "hourglass_1/lower_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/lower_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/lower_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/pool1_2x2_s2" | |
| top: "hourglass_1/lower_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool2_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_1/lower_1/res" | |
| top: "hourglass_1/pool2_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool2_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/pool2_2x2_s2" | |
| top: "hourglass_1/pool2_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/pool2_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/pool2_2x2_s2tmp" | |
| top: "hourglass_1/pool2_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool2_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/pool2_2x2_s2/bn" | |
| top: "hourglass_1/pool2_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/pool2_2x2_s2/bn" | |
| top: "hourglass_1/lower_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv1_1x1" | |
| top: "hourglass_1/lower_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/lower_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv2_3x3" | |
| top: "hourglass_1/lower_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/lower_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/lower_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/pool2_2x2_s2" | |
| top: "hourglass_1/lower_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool3_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_1/lower_2/res" | |
| top: "hourglass_1/pool3_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool3_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/pool3_2x2_s2" | |
| top: "hourglass_1/pool3_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/pool3_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/pool3_2x2_s2tmp" | |
| top: "hourglass_1/pool3_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool3_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/pool3_2x2_s2/bn" | |
| top: "hourglass_1/pool3_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/pool3_2x2_s2/bn" | |
| top: "hourglass_1/lower_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv1_1x1" | |
| top: "hourglass_1/lower_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/lower_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv2_3x3" | |
| top: "hourglass_1/lower_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/lower_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/lower_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/pool3_2x2_s2" | |
| top: "hourglass_1/lower_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool4_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_1/lower_3/res" | |
| top: "hourglass_1/pool4_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool4_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/pool4_2x2_s2" | |
| top: "hourglass_1/pool4_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/pool4_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/pool4_2x2_s2tmp" | |
| top: "hourglass_1/pool4_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pool4_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/pool4_2x2_s2/bn" | |
| top: "hourglass_1/pool4_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/pool4_2x2_s2/bn" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv1_1x1" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv2_3x3" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_4_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/lower_4_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/pool4_2x2_s2" | |
| top: "hourglass_1/lower_4_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_1/res" | |
| top: "hourglass_1/lower_4_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_1/restmp" | |
| top: "hourglass_1/lower_4_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_1/res/bn" | |
| top: "hourglass_1/lower_4_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_1/res/bn" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv1_1x1" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv2_3x3" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_4_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/lower_4_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/lower_4_1/res" | |
| top: "hourglass_1/lower_4_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_2/res" | |
| top: "hourglass_1/lower_4_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_2/restmp" | |
| top: "hourglass_1/lower_4_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_2/res/bn" | |
| top: "hourglass_1/lower_4_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_2/res/bn" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv1_1x1" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv2_3x3" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/lower_4_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_4_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/lower_4_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/lower_4_2/res" | |
| top: "hourglass_1/lower_4_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/interp" | |
| type: "Interp" | |
| bottom: "hourglass_1/lower_4_3/res" | |
| bottom: "hourglass_1/lower_3/res" | |
| top: "hourglass_1/upper_4/interp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_3/res" | |
| top: "hourglass_1/lower_3/restmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_3/restmp" | |
| top: "hourglass_1/lower_3/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_3/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_3/res/bn" | |
| top: "hourglass_1/lower_3/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_3/res/bn" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_4/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_4/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/lower_3/res" | |
| top: "hourglass_1/upper_4/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_4/skip/res" | |
| bottom: "hourglass_1/upper_4/interp" | |
| top: "hourglass_1/upper_4/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_4/output" | |
| top: "hourglass_1/upper_4/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_4/outputtmp" | |
| top: "hourglass_1/upper_4/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_4/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_4/output/bn" | |
| top: "hourglass_1/upper_4/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_4/output/bn" | |
| top: "hourglass_1/upper_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv1_1x1" | |
| top: "hourglass_1/upper_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/upper_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv2_3x3" | |
| top: "hourglass_1/upper_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/upper_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/upper_4/output" | |
| top: "hourglass_1/upper_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/interp" | |
| type: "Interp" | |
| bottom: "hourglass_1/upper_3/res" | |
| bottom: "hourglass_1/lower_2/res" | |
| top: "hourglass_1/upper_3/interp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_2/res" | |
| top: "hourglass_1/lower_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_2/restmp" | |
| top: "hourglass_1/lower_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_2/res/bn" | |
| top: "hourglass_1/lower_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_2/res/bn" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_3/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_3/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/lower_2/res" | |
| top: "hourglass_1/upper_3/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_3/skip/res" | |
| bottom: "hourglass_1/upper_3/interp" | |
| top: "hourglass_1/upper_3/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_3/output" | |
| top: "hourglass_1/upper_3/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_3/outputtmp" | |
| top: "hourglass_1/upper_3/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_3/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_3/output/bn" | |
| top: "hourglass_1/upper_3/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_3/output/bn" | |
| top: "hourglass_1/upper_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv1_1x1" | |
| top: "hourglass_1/upper_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/upper_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv2_3x3" | |
| top: "hourglass_1/upper_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/upper_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/upper_3/output" | |
| top: "hourglass_1/upper_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/interp" | |
| type: "Interp" | |
| bottom: "hourglass_1/upper_2/res" | |
| bottom: "hourglass_1/lower_1/res" | |
| top: "hourglass_1/upper_2/interp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/lower_1/res" | |
| top: "hourglass_1/lower_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/lower_1/restmp" | |
| top: "hourglass_1/lower_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/lower_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/lower_1/res/bn" | |
| top: "hourglass_1/lower_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/lower_1/res/bn" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_2/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_2/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/lower_1/res" | |
| top: "hourglass_1/upper_2/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_2/skip/res" | |
| bottom: "hourglass_1/upper_2/interp" | |
| top: "hourglass_1/upper_2/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_2/output" | |
| top: "hourglass_1/upper_2/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_2/outputtmp" | |
| top: "hourglass_1/upper_2/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_2/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_2/output/bn" | |
| top: "hourglass_1/upper_2/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_2/output/bn" | |
| top: "hourglass_1/upper_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv1_1x1" | |
| top: "hourglass_1/upper_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/upper_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv2_3x3" | |
| top: "hourglass_1/upper_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/upper_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/upper_2/output" | |
| top: "hourglass_1/upper_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/interp" | |
| type: "Interp" | |
| bottom: "hourglass_1/upper_1/res" | |
| bottom: "hourglass_0/output" | |
| top: "hourglass_1/upper_1/interp" | |
| } | |
| layer { | |
| name: "hourglass_0/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_0/output" | |
| top: "hourglass_0/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_0/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_0/outputtmp" | |
| top: "hourglass_0/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_0/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_0/output/bn" | |
| top: "hourglass_0/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_0/output/bn" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/upper_1/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/upper_1/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_1/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_0/output" | |
| top: "hourglass_1/upper_1/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/upper_1/skip/res" | |
| bottom: "hourglass_1/upper_1/interp" | |
| top: "hourglass_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1" | |
| top: "hourglass_1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1tmp" | |
| top: "hourglass_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/bn" | |
| top: "hourglass_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/bn" | |
| top: "hourglass_1/post/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/post/branch1/conv1_1x1" | |
| top: "hourglass_1/post/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/post/branch1/conv1_1x1tmp" | |
| top: "hourglass_1/post/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/post/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_1/post/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/post/branch1/conv2_3x3" | |
| top: "hourglass_1/post/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/post/branch1/conv2_3x3tmp" | |
| top: "hourglass_1/post/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/post/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_1/post/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/post/branch1/conv3_1x1" | |
| bottom: "hourglass_1" | |
| top: "hourglass_1/post" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/post" | |
| top: "hourglass_1/posttmp" | |
| } | |
| layer { | |
| name: "hourglass_1/post/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/posttmp" | |
| top: "hourglass_1/post/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/post/bn" | |
| top: "hourglass_1/post/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/linear_1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/post/bn" | |
| top: "hourglass_1/post/linear_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/linear_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/post/linear_1" | |
| top: "hourglass_1/post/linear_1tmp" | |
| } | |
| layer { | |
| name: "hourglass_1/post/linear_1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/post/linear_1tmp" | |
| top: "hourglass_1/post/linear_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/post/linear_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/post/linear_1/bn" | |
| top: "hourglass_1/post/linear_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pred_heatmap" | |
| type: "Convolution" | |
| bottom: "hourglass_1/post/linear_1/bn" | |
| top: "hourglass_1/pred_heatmap" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 13 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/linear_2" | |
| type: "Convolution" | |
| bottom: "hourglass_1/post/linear_1/bn" | |
| top: "hourglass_1/linear_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/pred_heatmap/linear_3" | |
| type: "Convolution" | |
| bottom: "hourglass_1/pred_heatmap" | |
| top: "hourglass_1/pred_heatmap/linear_3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/sum_tmp" | |
| type: "Eltwise" | |
| bottom: "hourglass_0/output" | |
| bottom: "hourglass_1/linear_2" | |
| top: "hourglass_1/sum_tmp" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/sum_tmp" | |
| bottom: "hourglass_1/pred_heatmap/linear_3" | |
| top: "hourglass_1/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool1_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_1/output" | |
| top: "hourglass_2/pool1_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool1_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/pool1_2x2_s2" | |
| top: "hourglass_2/pool1_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/pool1_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/pool1_2x2_s2tmp" | |
| top: "hourglass_2/pool1_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool1_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/pool1_2x2_s2/bn" | |
| top: "hourglass_2/pool1_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/pool1_2x2_s2/bn" | |
| top: "hourglass_2/lower_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv1_1x1" | |
| top: "hourglass_2/lower_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/lower_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv2_3x3" | |
| top: "hourglass_2/lower_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/lower_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/lower_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/pool1_2x2_s2" | |
| top: "hourglass_2/lower_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool2_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_2/lower_1/res" | |
| top: "hourglass_2/pool2_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool2_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/pool2_2x2_s2" | |
| top: "hourglass_2/pool2_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/pool2_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/pool2_2x2_s2tmp" | |
| top: "hourglass_2/pool2_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool2_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/pool2_2x2_s2/bn" | |
| top: "hourglass_2/pool2_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/pool2_2x2_s2/bn" | |
| top: "hourglass_2/lower_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv1_1x1" | |
| top: "hourglass_2/lower_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/lower_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv2_3x3" | |
| top: "hourglass_2/lower_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/lower_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/lower_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/pool2_2x2_s2" | |
| top: "hourglass_2/lower_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool3_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_2/lower_2/res" | |
| top: "hourglass_2/pool3_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool3_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/pool3_2x2_s2" | |
| top: "hourglass_2/pool3_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/pool3_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/pool3_2x2_s2tmp" | |
| top: "hourglass_2/pool3_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool3_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/pool3_2x2_s2/bn" | |
| top: "hourglass_2/pool3_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/pool3_2x2_s2/bn" | |
| top: "hourglass_2/lower_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv1_1x1" | |
| top: "hourglass_2/lower_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/lower_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv2_3x3" | |
| top: "hourglass_2/lower_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/lower_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/lower_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/pool3_2x2_s2" | |
| top: "hourglass_2/lower_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool4_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_2/lower_3/res" | |
| top: "hourglass_2/pool4_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool4_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/pool4_2x2_s2" | |
| top: "hourglass_2/pool4_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/pool4_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/pool4_2x2_s2tmp" | |
| top: "hourglass_2/pool4_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pool4_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/pool4_2x2_s2/bn" | |
| top: "hourglass_2/pool4_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/pool4_2x2_s2/bn" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv1_1x1" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv2_3x3" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_4_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/lower_4_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/pool4_2x2_s2" | |
| top: "hourglass_2/lower_4_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_1/res" | |
| top: "hourglass_2/lower_4_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_1/restmp" | |
| top: "hourglass_2/lower_4_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_1/res/bn" | |
| top: "hourglass_2/lower_4_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_1/res/bn" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv1_1x1" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv2_3x3" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_4_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/lower_4_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/lower_4_1/res" | |
| top: "hourglass_2/lower_4_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_2/res" | |
| top: "hourglass_2/lower_4_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_2/restmp" | |
| top: "hourglass_2/lower_4_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_2/res/bn" | |
| top: "hourglass_2/lower_4_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_2/res/bn" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv1_1x1" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv2_3x3" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/lower_4_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_4_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/lower_4_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/lower_4_2/res" | |
| top: "hourglass_2/lower_4_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/interp" | |
| type: "Interp" | |
| bottom: "hourglass_2/lower_4_3/res" | |
| bottom: "hourglass_2/lower_3/res" | |
| top: "hourglass_2/upper_4/interp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_3/res" | |
| top: "hourglass_2/lower_3/restmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_3/restmp" | |
| top: "hourglass_2/lower_3/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_3/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_3/res/bn" | |
| top: "hourglass_2/lower_3/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_3/res/bn" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_4/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_4/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/lower_3/res" | |
| top: "hourglass_2/upper_4/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_4/skip/res" | |
| bottom: "hourglass_2/upper_4/interp" | |
| top: "hourglass_2/upper_4/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_4/output" | |
| top: "hourglass_2/upper_4/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_4/outputtmp" | |
| top: "hourglass_2/upper_4/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_4/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_4/output/bn" | |
| top: "hourglass_2/upper_4/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_4/output/bn" | |
| top: "hourglass_2/upper_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv1_1x1" | |
| top: "hourglass_2/upper_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/upper_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv2_3x3" | |
| top: "hourglass_2/upper_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/upper_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/upper_4/output" | |
| top: "hourglass_2/upper_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/interp" | |
| type: "Interp" | |
| bottom: "hourglass_2/upper_3/res" | |
| bottom: "hourglass_2/lower_2/res" | |
| top: "hourglass_2/upper_3/interp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_2/res" | |
| top: "hourglass_2/lower_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_2/restmp" | |
| top: "hourglass_2/lower_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_2/res/bn" | |
| top: "hourglass_2/lower_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_2/res/bn" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_3/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_3/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/lower_2/res" | |
| top: "hourglass_2/upper_3/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_3/skip/res" | |
| bottom: "hourglass_2/upper_3/interp" | |
| top: "hourglass_2/upper_3/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_3/output" | |
| top: "hourglass_2/upper_3/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_3/outputtmp" | |
| top: "hourglass_2/upper_3/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_3/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_3/output/bn" | |
| top: "hourglass_2/upper_3/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_3/output/bn" | |
| top: "hourglass_2/upper_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv1_1x1" | |
| top: "hourglass_2/upper_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/upper_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv2_3x3" | |
| top: "hourglass_2/upper_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/upper_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/upper_3/output" | |
| top: "hourglass_2/upper_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/interp" | |
| type: "Interp" | |
| bottom: "hourglass_2/upper_2/res" | |
| bottom: "hourglass_2/lower_1/res" | |
| top: "hourglass_2/upper_2/interp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/lower_1/res" | |
| top: "hourglass_2/lower_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/lower_1/restmp" | |
| top: "hourglass_2/lower_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/lower_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/lower_1/res/bn" | |
| top: "hourglass_2/lower_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/lower_1/res/bn" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_2/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_2/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/lower_1/res" | |
| top: "hourglass_2/upper_2/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_2/skip/res" | |
| bottom: "hourglass_2/upper_2/interp" | |
| top: "hourglass_2/upper_2/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_2/output" | |
| top: "hourglass_2/upper_2/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_2/outputtmp" | |
| top: "hourglass_2/upper_2/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_2/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_2/output/bn" | |
| top: "hourglass_2/upper_2/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_2/output/bn" | |
| top: "hourglass_2/upper_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv1_1x1" | |
| top: "hourglass_2/upper_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/upper_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv2_3x3" | |
| top: "hourglass_2/upper_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/upper_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/upper_2/output" | |
| top: "hourglass_2/upper_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/interp" | |
| type: "Interp" | |
| bottom: "hourglass_2/upper_1/res" | |
| bottom: "hourglass_1/output" | |
| top: "hourglass_2/upper_1/interp" | |
| } | |
| layer { | |
| name: "hourglass_1/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_1/output" | |
| top: "hourglass_1/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_1/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_1/outputtmp" | |
| top: "hourglass_1/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_1/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_1/output/bn" | |
| top: "hourglass_1/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_1/output/bn" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/upper_1/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/upper_1/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_1/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_1/output" | |
| top: "hourglass_2/upper_1/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/upper_1/skip/res" | |
| bottom: "hourglass_2/upper_1/interp" | |
| top: "hourglass_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2" | |
| top: "hourglass_2tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2tmp" | |
| top: "hourglass_2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/bn" | |
| top: "hourglass_2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/bn" | |
| top: "hourglass_2/post/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/post/branch1/conv1_1x1" | |
| top: "hourglass_2/post/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/post/branch1/conv1_1x1tmp" | |
| top: "hourglass_2/post/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/post/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_2/post/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/post/branch1/conv2_3x3" | |
| top: "hourglass_2/post/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/post/branch1/conv2_3x3tmp" | |
| top: "hourglass_2/post/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/post/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_2/post/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/post/branch1/conv3_1x1" | |
| bottom: "hourglass_2" | |
| top: "hourglass_2/post" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/post" | |
| top: "hourglass_2/posttmp" | |
| } | |
| layer { | |
| name: "hourglass_2/post/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/posttmp" | |
| top: "hourglass_2/post/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/post/bn" | |
| top: "hourglass_2/post/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/linear_1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/post/bn" | |
| top: "hourglass_2/post/linear_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/linear_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/post/linear_1" | |
| top: "hourglass_2/post/linear_1tmp" | |
| } | |
| layer { | |
| name: "hourglass_2/post/linear_1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/post/linear_1tmp" | |
| top: "hourglass_2/post/linear_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/post/linear_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/post/linear_1/bn" | |
| top: "hourglass_2/post/linear_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pred_heatmap" | |
| type: "Convolution" | |
| bottom: "hourglass_2/post/linear_1/bn" | |
| top: "hourglass_2/pred_heatmap" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 13 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/linear_2" | |
| type: "Convolution" | |
| bottom: "hourglass_2/post/linear_1/bn" | |
| top: "hourglass_2/linear_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/pred_heatmap/linear_3" | |
| type: "Convolution" | |
| bottom: "hourglass_2/pred_heatmap" | |
| top: "hourglass_2/pred_heatmap/linear_3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/sum_tmp" | |
| type: "Eltwise" | |
| bottom: "hourglass_1/output" | |
| bottom: "hourglass_2/linear_2" | |
| top: "hourglass_2/sum_tmp" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/sum_tmp" | |
| bottom: "hourglass_2/pred_heatmap/linear_3" | |
| top: "hourglass_2/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool1_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_2/output" | |
| top: "hourglass_3/pool1_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool1_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/pool1_2x2_s2" | |
| top: "hourglass_3/pool1_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/pool1_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/pool1_2x2_s2tmp" | |
| top: "hourglass_3/pool1_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool1_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/pool1_2x2_s2/bn" | |
| top: "hourglass_3/pool1_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/pool1_2x2_s2/bn" | |
| top: "hourglass_3/lower_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv1_1x1" | |
| top: "hourglass_3/lower_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/lower_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv2_3x3" | |
| top: "hourglass_3/lower_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/lower_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/lower_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/pool1_2x2_s2" | |
| top: "hourglass_3/lower_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool2_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_3/lower_1/res" | |
| top: "hourglass_3/pool2_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool2_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/pool2_2x2_s2" | |
| top: "hourglass_3/pool2_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/pool2_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/pool2_2x2_s2tmp" | |
| top: "hourglass_3/pool2_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool2_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/pool2_2x2_s2/bn" | |
| top: "hourglass_3/pool2_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/pool2_2x2_s2/bn" | |
| top: "hourglass_3/lower_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv1_1x1" | |
| top: "hourglass_3/lower_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/lower_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv2_3x3" | |
| top: "hourglass_3/lower_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/lower_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/lower_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/pool2_2x2_s2" | |
| top: "hourglass_3/lower_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool3_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_3/lower_2/res" | |
| top: "hourglass_3/pool3_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool3_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/pool3_2x2_s2" | |
| top: "hourglass_3/pool3_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/pool3_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/pool3_2x2_s2tmp" | |
| top: "hourglass_3/pool3_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool3_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/pool3_2x2_s2/bn" | |
| top: "hourglass_3/pool3_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/pool3_2x2_s2/bn" | |
| top: "hourglass_3/lower_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv1_1x1" | |
| top: "hourglass_3/lower_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/lower_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv2_3x3" | |
| top: "hourglass_3/lower_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/lower_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/lower_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/pool3_2x2_s2" | |
| top: "hourglass_3/lower_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool4_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_3/lower_3/res" | |
| top: "hourglass_3/pool4_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool4_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/pool4_2x2_s2" | |
| top: "hourglass_3/pool4_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/pool4_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/pool4_2x2_s2tmp" | |
| top: "hourglass_3/pool4_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pool4_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/pool4_2x2_s2/bn" | |
| top: "hourglass_3/pool4_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/pool4_2x2_s2/bn" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv1_1x1" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv2_3x3" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_4_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/lower_4_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/pool4_2x2_s2" | |
| top: "hourglass_3/lower_4_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_1/res" | |
| top: "hourglass_3/lower_4_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_1/restmp" | |
| top: "hourglass_3/lower_4_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_1/res/bn" | |
| top: "hourglass_3/lower_4_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_1/res/bn" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv1_1x1" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv2_3x3" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_4_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/lower_4_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/lower_4_1/res" | |
| top: "hourglass_3/lower_4_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_2/res" | |
| top: "hourglass_3/lower_4_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_2/restmp" | |
| top: "hourglass_3/lower_4_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_2/res/bn" | |
| top: "hourglass_3/lower_4_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_2/res/bn" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv1_1x1" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv2_3x3" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/lower_4_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_4_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/lower_4_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/lower_4_2/res" | |
| top: "hourglass_3/lower_4_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/interp" | |
| type: "Interp" | |
| bottom: "hourglass_3/lower_4_3/res" | |
| bottom: "hourglass_3/lower_3/res" | |
| top: "hourglass_3/upper_4/interp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_3/res" | |
| top: "hourglass_3/lower_3/restmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_3/restmp" | |
| top: "hourglass_3/lower_3/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_3/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_3/res/bn" | |
| top: "hourglass_3/lower_3/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_3/res/bn" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_4/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_4/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/lower_3/res" | |
| top: "hourglass_3/upper_4/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_4/skip/res" | |
| bottom: "hourglass_3/upper_4/interp" | |
| top: "hourglass_3/upper_4/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_4/output" | |
| top: "hourglass_3/upper_4/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_4/outputtmp" | |
| top: "hourglass_3/upper_4/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_4/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_4/output/bn" | |
| top: "hourglass_3/upper_4/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_4/output/bn" | |
| top: "hourglass_3/upper_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv1_1x1" | |
| top: "hourglass_3/upper_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/upper_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv2_3x3" | |
| top: "hourglass_3/upper_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/upper_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/upper_4/output" | |
| top: "hourglass_3/upper_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/interp" | |
| type: "Interp" | |
| bottom: "hourglass_3/upper_3/res" | |
| bottom: "hourglass_3/lower_2/res" | |
| top: "hourglass_3/upper_3/interp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_2/res" | |
| top: "hourglass_3/lower_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_2/restmp" | |
| top: "hourglass_3/lower_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_2/res/bn" | |
| top: "hourglass_3/lower_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_2/res/bn" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_3/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_3/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/lower_2/res" | |
| top: "hourglass_3/upper_3/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_3/skip/res" | |
| bottom: "hourglass_3/upper_3/interp" | |
| top: "hourglass_3/upper_3/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_3/output" | |
| top: "hourglass_3/upper_3/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_3/outputtmp" | |
| top: "hourglass_3/upper_3/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_3/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_3/output/bn" | |
| top: "hourglass_3/upper_3/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_3/output/bn" | |
| top: "hourglass_3/upper_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv1_1x1" | |
| top: "hourglass_3/upper_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/upper_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv2_3x3" | |
| top: "hourglass_3/upper_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/upper_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/upper_3/output" | |
| top: "hourglass_3/upper_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/interp" | |
| type: "Interp" | |
| bottom: "hourglass_3/upper_2/res" | |
| bottom: "hourglass_3/lower_1/res" | |
| top: "hourglass_3/upper_2/interp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/lower_1/res" | |
| top: "hourglass_3/lower_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/lower_1/restmp" | |
| top: "hourglass_3/lower_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/lower_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/lower_1/res/bn" | |
| top: "hourglass_3/lower_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/lower_1/res/bn" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_2/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_2/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/lower_1/res" | |
| top: "hourglass_3/upper_2/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_2/skip/res" | |
| bottom: "hourglass_3/upper_2/interp" | |
| top: "hourglass_3/upper_2/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_2/output" | |
| top: "hourglass_3/upper_2/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_2/outputtmp" | |
| top: "hourglass_3/upper_2/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_2/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_2/output/bn" | |
| top: "hourglass_3/upper_2/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_2/output/bn" | |
| top: "hourglass_3/upper_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv1_1x1" | |
| top: "hourglass_3/upper_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/upper_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv2_3x3" | |
| top: "hourglass_3/upper_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/upper_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/upper_2/output" | |
| top: "hourglass_3/upper_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/interp" | |
| type: "Interp" | |
| bottom: "hourglass_3/upper_1/res" | |
| bottom: "hourglass_2/output" | |
| top: "hourglass_3/upper_1/interp" | |
| } | |
| layer { | |
| name: "hourglass_2/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_2/output" | |
| top: "hourglass_2/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_2/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_2/outputtmp" | |
| top: "hourglass_2/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_2/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_2/output/bn" | |
| top: "hourglass_2/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_2/output/bn" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/upper_1/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/upper_1/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_1/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_2/output" | |
| top: "hourglass_3/upper_1/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/upper_1/skip/res" | |
| bottom: "hourglass_3/upper_1/interp" | |
| top: "hourglass_3" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3" | |
| top: "hourglass_3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3tmp" | |
| top: "hourglass_3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/bn" | |
| top: "hourglass_3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/bn" | |
| top: "hourglass_3/post/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/post/branch1/conv1_1x1" | |
| top: "hourglass_3/post/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/post/branch1/conv1_1x1tmp" | |
| top: "hourglass_3/post/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/post/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_3/post/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/post/branch1/conv2_3x3" | |
| top: "hourglass_3/post/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/post/branch1/conv2_3x3tmp" | |
| top: "hourglass_3/post/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/post/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_3/post/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/post/branch1/conv3_1x1" | |
| bottom: "hourglass_3" | |
| top: "hourglass_3/post" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/post" | |
| top: "hourglass_3/posttmp" | |
| } | |
| layer { | |
| name: "hourglass_3/post/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/posttmp" | |
| top: "hourglass_3/post/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/post/bn" | |
| top: "hourglass_3/post/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/linear_1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/post/bn" | |
| top: "hourglass_3/post/linear_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/linear_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/post/linear_1" | |
| top: "hourglass_3/post/linear_1tmp" | |
| } | |
| layer { | |
| name: "hourglass_3/post/linear_1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/post/linear_1tmp" | |
| top: "hourglass_3/post/linear_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/post/linear_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/post/linear_1/bn" | |
| top: "hourglass_3/post/linear_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pred_heatmap" | |
| type: "Convolution" | |
| bottom: "hourglass_3/post/linear_1/bn" | |
| top: "hourglass_3/pred_heatmap" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 13 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/linear_2" | |
| type: "Convolution" | |
| bottom: "hourglass_3/post/linear_1/bn" | |
| top: "hourglass_3/linear_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/pred_heatmap/linear_3" | |
| type: "Convolution" | |
| bottom: "hourglass_3/pred_heatmap" | |
| top: "hourglass_3/pred_heatmap/linear_3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/sum_tmp" | |
| type: "Eltwise" | |
| bottom: "hourglass_2/output" | |
| bottom: "hourglass_3/linear_2" | |
| top: "hourglass_3/sum_tmp" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_3/sum_tmp" | |
| bottom: "hourglass_3/pred_heatmap/linear_3" | |
| top: "hourglass_3/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool1_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_3/output" | |
| top: "hourglass_4/pool1_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool1_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/pool1_2x2_s2" | |
| top: "hourglass_4/pool1_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/pool1_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/pool1_2x2_s2tmp" | |
| top: "hourglass_4/pool1_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool1_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/pool1_2x2_s2/bn" | |
| top: "hourglass_4/pool1_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/pool1_2x2_s2/bn" | |
| top: "hourglass_4/lower_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv1_1x1" | |
| top: "hourglass_4/lower_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/lower_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv2_3x3" | |
| top: "hourglass_4/lower_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/lower_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/lower_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/pool1_2x2_s2" | |
| top: "hourglass_4/lower_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool2_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_4/lower_1/res" | |
| top: "hourglass_4/pool2_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool2_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/pool2_2x2_s2" | |
| top: "hourglass_4/pool2_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/pool2_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/pool2_2x2_s2tmp" | |
| top: "hourglass_4/pool2_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool2_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/pool2_2x2_s2/bn" | |
| top: "hourglass_4/pool2_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/pool2_2x2_s2/bn" | |
| top: "hourglass_4/lower_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv1_1x1" | |
| top: "hourglass_4/lower_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/lower_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv2_3x3" | |
| top: "hourglass_4/lower_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/lower_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/lower_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/pool2_2x2_s2" | |
| top: "hourglass_4/lower_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool3_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_4/lower_2/res" | |
| top: "hourglass_4/pool3_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool3_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/pool3_2x2_s2" | |
| top: "hourglass_4/pool3_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/pool3_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/pool3_2x2_s2tmp" | |
| top: "hourglass_4/pool3_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool3_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/pool3_2x2_s2/bn" | |
| top: "hourglass_4/pool3_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/pool3_2x2_s2/bn" | |
| top: "hourglass_4/lower_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv1_1x1" | |
| top: "hourglass_4/lower_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/lower_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv2_3x3" | |
| top: "hourglass_4/lower_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/lower_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/lower_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/pool3_2x2_s2" | |
| top: "hourglass_4/lower_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool4_2x2_s2" | |
| type: "Pooling" | |
| bottom: "hourglass_4/lower_3/res" | |
| top: "hourglass_4/pool4_2x2_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool4_2x2_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/pool4_2x2_s2" | |
| top: "hourglass_4/pool4_2x2_s2tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/pool4_2x2_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/pool4_2x2_s2tmp" | |
| top: "hourglass_4/pool4_2x2_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pool4_2x2_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/pool4_2x2_s2/bn" | |
| top: "hourglass_4/pool4_2x2_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/pool4_2x2_s2/bn" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv1_1x1" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv2_3x3" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_4_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/lower_4_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/pool4_2x2_s2" | |
| top: "hourglass_4/lower_4_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_1/res" | |
| top: "hourglass_4/lower_4_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_1/restmp" | |
| top: "hourglass_4/lower_4_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_1/res/bn" | |
| top: "hourglass_4/lower_4_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_1/res/bn" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv1_1x1" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv2_3x3" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_4_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/lower_4_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/lower_4_1/res" | |
| top: "hourglass_4/lower_4_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_2/res" | |
| top: "hourglass_4/lower_4_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_2/restmp" | |
| top: "hourglass_4/lower_4_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_2/res/bn" | |
| top: "hourglass_4/lower_4_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_2/res/bn" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv1_1x1" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv2_3x3" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/lower_4_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_4_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/lower_4_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/lower_4_2/res" | |
| top: "hourglass_4/lower_4_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/interp" | |
| type: "Interp" | |
| bottom: "hourglass_4/lower_4_3/res" | |
| bottom: "hourglass_4/lower_3/res" | |
| top: "hourglass_4/upper_4/interp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_3/res" | |
| top: "hourglass_4/lower_3/restmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_3/restmp" | |
| top: "hourglass_4/lower_3/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_3/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_3/res/bn" | |
| top: "hourglass_4/lower_3/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_3/res/bn" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_4/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_4/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/lower_3/res" | |
| top: "hourglass_4/upper_4/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_4/skip/res" | |
| bottom: "hourglass_4/upper_4/interp" | |
| top: "hourglass_4/upper_4/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_4/output" | |
| top: "hourglass_4/upper_4/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_4/outputtmp" | |
| top: "hourglass_4/upper_4/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_4/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_4/output/bn" | |
| top: "hourglass_4/upper_4/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_4/output/bn" | |
| top: "hourglass_4/upper_3/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv1_1x1" | |
| top: "hourglass_4/upper_3/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/upper_3/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_3/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_3/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv2_3x3" | |
| top: "hourglass_4/upper_3/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/upper_3/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_3/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_3/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_3/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/upper_4/output" | |
| top: "hourglass_4/upper_3/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/interp" | |
| type: "Interp" | |
| bottom: "hourglass_4/upper_3/res" | |
| bottom: "hourglass_4/lower_2/res" | |
| top: "hourglass_4/upper_3/interp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_2/res" | |
| top: "hourglass_4/lower_2/restmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_2/restmp" | |
| top: "hourglass_4/lower_2/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_2/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_2/res/bn" | |
| top: "hourglass_4/lower_2/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_2/res/bn" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_3/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_3/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/lower_2/res" | |
| top: "hourglass_4/upper_3/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_3/skip/res" | |
| bottom: "hourglass_4/upper_3/interp" | |
| top: "hourglass_4/upper_3/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_3/output" | |
| top: "hourglass_4/upper_3/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_3/outputtmp" | |
| top: "hourglass_4/upper_3/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_3/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_3/output/bn" | |
| top: "hourglass_4/upper_3/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_3/output/bn" | |
| top: "hourglass_4/upper_2/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv1_1x1" | |
| top: "hourglass_4/upper_2/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/upper_2/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_2/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_2/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv2_3x3" | |
| top: "hourglass_4/upper_2/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/upper_2/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_2/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_2/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_2/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/upper_3/output" | |
| top: "hourglass_4/upper_2/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/interp" | |
| type: "Interp" | |
| bottom: "hourglass_4/upper_2/res" | |
| bottom: "hourglass_4/lower_1/res" | |
| top: "hourglass_4/upper_2/interp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/lower_1/res" | |
| top: "hourglass_4/lower_1/restmp" | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/lower_1/restmp" | |
| top: "hourglass_4/lower_1/res/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/lower_1/res/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/lower_1/res/bn" | |
| top: "hourglass_4/lower_1/res/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/lower_1/res/bn" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_2/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_2/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/lower_1/res" | |
| top: "hourglass_4/upper_2/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/output" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_2/skip/res" | |
| bottom: "hourglass_4/upper_2/interp" | |
| top: "hourglass_4/upper_2/output" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_2/output" | |
| top: "hourglass_4/upper_2/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_2/outputtmp" | |
| top: "hourglass_4/upper_2/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_2/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_2/output/bn" | |
| top: "hourglass_4/upper_2/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_2/output/bn" | |
| top: "hourglass_4/upper_1/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv1_1x1" | |
| top: "hourglass_4/upper_1/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/upper_1/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_1/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_1/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv2_3x3" | |
| top: "hourglass_4/upper_1/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/upper_1/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_1/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_1/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_1/res/branch1/conv3_1x1" | |
| bottom: "hourglass_4/upper_2/output" | |
| top: "hourglass_4/upper_1/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/interp" | |
| type: "Interp" | |
| bottom: "hourglass_4/upper_1/res" | |
| bottom: "hourglass_3/output" | |
| top: "hourglass_4/upper_1/interp" | |
| } | |
| layer { | |
| name: "hourglass_3/output/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_3/output" | |
| top: "hourglass_3/outputtmp" | |
| } | |
| layer { | |
| name: "hourglass_3/output/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_3/outputtmp" | |
| top: "hourglass_3/output/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_3/output/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_3/output/bn" | |
| top: "hourglass_3/output/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_3/output/bn" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/upper_1/skip/res/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/upper_1/skip/res" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_1/skip/res/branch1/conv3_1x1" | |
| bottom: "hourglass_3/output" | |
| top: "hourglass_4/upper_1/skip/res" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/upper_1/skip/res" | |
| bottom: "hourglass_4/upper_1/interp" | |
| top: "hourglass_4" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4" | |
| top: "hourglass_4tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4tmp" | |
| top: "hourglass_4/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/bn" | |
| top: "hourglass_4/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/bn" | |
| top: "hourglass_4/post/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/post/branch1/conv1_1x1" | |
| top: "hourglass_4/post/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/post/branch1/conv1_1x1tmp" | |
| top: "hourglass_4/post/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/post/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "hourglass_4/post/branch1/conv1_1x1/bn" | |
| top: "hourglass_4/post/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/post/branch1/conv2_3x3" | |
| top: "hourglass_4/post/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/post/branch1/conv2_3x3tmp" | |
| top: "hourglass_4/post/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/post/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/post/branch1/conv2_3x3/bn" | |
| top: "hourglass_4/post/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post" | |
| type: "Eltwise" | |
| bottom: "hourglass_4/post/branch1/conv3_1x1" | |
| bottom: "hourglass_4" | |
| top: "hourglass_4/post" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/post" | |
| top: "hourglass_4/posttmp" | |
| } | |
| layer { | |
| name: "hourglass_4/post/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/posttmp" | |
| top: "hourglass_4/post/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/post/bn" | |
| top: "hourglass_4/post/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/linear_1" | |
| type: "Convolution" | |
| bottom: "hourglass_4/post/bn" | |
| top: "hourglass_4/post/linear_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/linear_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "hourglass_4/post/linear_1" | |
| top: "hourglass_4/post/linear_1tmp" | |
| } | |
| layer { | |
| name: "hourglass_4/post/linear_1/bn_scale" | |
| type: "Scale" | |
| bottom: "hourglass_4/post/linear_1tmp" | |
| top: "hourglass_4/post/linear_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/post/linear_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "hourglass_4/post/linear_1/bn" | |
| top: "hourglass_4/post/linear_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pred_heatmap" | |
| type: "Convolution" | |
| bottom: "hourglass_4/post/linear_1/bn" | |
| top: "hourglass_4/pred_heatmap" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 13 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pred_heatmap_256x256" | |
| type: "Interp" | |
| bottom: "hourglass_4/pred_heatmap" | |
| bottom: "data" | |
| top: "pred_heatmap_256x256" | |
| } | |
| layer { | |
| name: "data/concat" | |
| type: "Concat" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| bottom: "data" | |
| top: "data/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "data/prod" | |
| type: "Eltwise" | |
| bottom: "data/concat" | |
| bottom: "pred_heatmap_256x256" | |
| top: "data/prod" | |
| eltwise_param { | |
| operation: PROD | |
| } | |
| } | |
| layer { | |
| name: "data/prob/concat" | |
| type: "Concat" | |
| bottom: "data/prod" | |
| bottom: "data" | |
| top: "data/prob/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "conv1_1" | |
| type: "Convolution" | |
| bottom: "data/prob/concat" | |
| top: "conv1_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv1_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "conv1_1" | |
| top: "conv1_1tmp" | |
| } | |
| layer { | |
| name: "conv1_1/bn_scale" | |
| type: "Scale" | |
| bottom: "conv1_1tmp" | |
| top: "conv1_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv1_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "conv1_1/bn" | |
| top: "conv1_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "pool1_1_3x3_s2" | |
| type: "Pooling" | |
| bottom: "conv1_1/bn" | |
| top: "pool1_1_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "pool1_1_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "pool1_1_3x3_s2" | |
| top: "pool1_1_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "pool1_1_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "pool1_1_3x3_s2tmp" | |
| top: "pool1_1_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "pool1_1_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "pool1_1_3x3_s2/bn" | |
| top: "pool1_1_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "pool1_1_3x3_s2/bn" | |
| top: "res1_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res1_1/branch1/conv1_1x1" | |
| top: "res1_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res1_1/branch1/conv1_1x1tmp" | |
| top: "res1_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res1_1/branch1/conv1_1x1/bn" | |
| top: "res1_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res1_1/branch1/conv1_1x1/bn" | |
| top: "res1_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res1_1/branch1/conv2_3x3" | |
| top: "res1_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res1_1/branch1/conv2_3x3tmp" | |
| top: "res1_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res1_1/branch1/conv2_3x3/bn" | |
| top: "res1_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res1_1/branch1/conv2_3x3/bn" | |
| top: "res1_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res1_1/branch2/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "pool1_1_3x3_s2/bn" | |
| top: "res1_1/branch2/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res1_1" | |
| type: "Eltwise" | |
| bottom: "res1_1/branch2/conv1_1x1" | |
| bottom: "res1_1/branch1/conv3_1x1" | |
| top: "res1_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res1_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res1_1" | |
| top: "res1_1tmp" | |
| } | |
| layer { | |
| name: "res1_1/bn_scale" | |
| type: "Scale" | |
| bottom: "res1_1tmp" | |
| top: "res1_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res1_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res1_1/bn" | |
| top: "res1_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "res1_1/bn" | |
| top: "res1_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res1_2/branch1/conv1_1x1" | |
| top: "res1_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res1_2/branch1/conv1_1x1tmp" | |
| top: "res1_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res1_2/branch1/conv1_1x1/bn" | |
| top: "res1_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res1_2/branch1/conv1_1x1/bn" | |
| top: "res1_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res1_2/branch1/conv2_3x3" | |
| top: "res1_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res1_2/branch1/conv2_3x3tmp" | |
| top: "res1_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res1_2/branch1/conv2_3x3/bn" | |
| top: "res1_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res1_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res1_2/branch1/conv2_3x3/bn" | |
| top: "res1_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res1_2" | |
| type: "Eltwise" | |
| bottom: "res1_2/branch1/conv3_1x1" | |
| bottom: "res1_1" | |
| top: "res1_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pred_heatmap/64x64" | |
| type: "Interp" | |
| bottom: "hourglass_4/pred_heatmap" | |
| bottom: "res1_2" | |
| top: "hourglass_4/pred_heatmap/64x64" | |
| } | |
| layer { | |
| name: "res1_2/concat" | |
| type: "Concat" | |
| bottom: "hourglass_4/pred_heatmap/64x64" | |
| bottom: "res1_2" | |
| top: "res1_2/concat" | |
| } | |
| layer { | |
| name: "res1_2/concat/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res1_2/concat" | |
| top: "res1_2/concattmp" | |
| } | |
| layer { | |
| name: "res1_2/concat/bn_scale" | |
| type: "Scale" | |
| bottom: "res1_2/concattmp" | |
| top: "res1_2/concat/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res1_2/concat/bn/relu" | |
| type: "PReLU" | |
| bottom: "res1_2/concat/bn" | |
| top: "res1_2/concat/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res1_2/concat/bn/linear" | |
| type: "Convolution" | |
| bottom: "res1_2/concat/bn" | |
| top: "res1_2/concat/bn/linear" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool1_3x3_s2" | |
| type: "Pooling" | |
| bottom: "res1_2/concat/bn/linear" | |
| top: "AttentionA_1/mask/down_sample/pool1_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool1_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/pool1_3x3_s2" | |
| top: "AttentionA_1/mask/down_sample/pool1_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool1_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/pool1_3x3_s2tmp" | |
| top: "AttentionA_1/mask/down_sample/pool1_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool1_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/pool1_3x3_s2/bn" | |
| top: "AttentionA_1/mask/down_sample/pool1_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/pool1_3x3_s2/bn" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/down_sample/pool1_3x3_s2" | |
| top: "AttentionA_1/mask/down_sample/res1_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool2_3x3_s2" | |
| type: "Pooling" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1" | |
| top: "AttentionA_1/mask/down_sample/pool2_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool2_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/pool2_3x3_s2" | |
| top: "AttentionA_1/mask/down_sample/pool2_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool2_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/pool2_3x3_s2tmp" | |
| top: "AttentionA_1/mask/down_sample/pool2_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool2_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/pool2_3x3_s2/bn" | |
| top: "AttentionA_1/mask/down_sample/pool2_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/pool2_3x3_s2/bn" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res2_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/down_sample/pool2_3x3_s2" | |
| top: "AttentionA_1/mask/down_sample/res2_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool3_3x3_s2" | |
| type: "Pooling" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1" | |
| top: "AttentionA_1/mask/down_sample/pool3_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool3_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/pool3_3x3_s2" | |
| top: "AttentionA_1/mask/down_sample/pool3_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool3_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/pool3_3x3_s2tmp" | |
| top: "AttentionA_1/mask/down_sample/pool3_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/pool3_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/pool3_3x3_s2/bn" | |
| top: "AttentionA_1/mask/down_sample/pool3_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/pool3_3x3_s2/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/down_sample/pool3_3x3_s2" | |
| top: "AttentionA_1/mask/down_sample/res3_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1" | |
| top: "AttentionA_1/mask/down_sample/res3_1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1tmp" | |
| top: "AttentionA_1/mask/down_sample/res3_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/down_sample/res3_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res3_2" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/down_sample/res3_1" | |
| top: "AttentionA_1/mask/down_sample/res3_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/interp_3" | |
| type: "Interp" | |
| bottom: "AttentionA_1/mask/down_sample/res3_2" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1" | |
| top: "AttentionA_1/mask/up_sample/interp_3" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1" | |
| top: "AttentionA_1/mask/down_sample/res2_1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1tmp" | |
| top: "AttentionA_1/mask/down_sample/res2_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res2_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/bn" | |
| top: "AttentionA_1/mask/down_sample/res2_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1/bn" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/skip/res2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res2" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/skip/res2/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/down_sample/res2_1" | |
| top: "AttentionA_1/mask/skip/res2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample2" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/skip/res2" | |
| bottom: "AttentionA_1/mask/up_sample/interp_3" | |
| top: "AttentionA_1/mask/up_sample2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/up_sample2" | |
| top: "AttentionA_1/mask/up_sample2tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample2/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/up_sample2tmp" | |
| top: "AttentionA_1/mask/up_sample2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample2/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/up_sample2/bn" | |
| top: "AttentionA_1/mask/up_sample2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/up_sample2/bn" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/up_sample/res2_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res2_1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/up_sample2" | |
| top: "AttentionA_1/mask/up_sample/res2_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/interp_2" | |
| type: "Interp" | |
| bottom: "AttentionA_1/mask/up_sample/res2_1" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1" | |
| top: "AttentionA_1/mask/up_sample/interp_2" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1" | |
| top: "AttentionA_1/mask/down_sample/res1_1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1tmp" | |
| top: "AttentionA_1/mask/down_sample/res1_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/down_sample/res1_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/bn" | |
| top: "AttentionA_1/mask/down_sample/res1_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1/bn" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/skip/res1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/skip/res1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/skip/res1/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/down_sample/res1_1" | |
| top: "AttentionA_1/mask/skip/res1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/skip/res1" | |
| bottom: "AttentionA_1/mask/up_sample/interp_2" | |
| top: "AttentionA_1/mask/up_sample1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/up_sample1" | |
| top: "AttentionA_1/mask/up_sample1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/up_sample1tmp" | |
| top: "AttentionA_1/mask/up_sample1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/up_sample1/bn" | |
| top: "AttentionA_1/mask/up_sample1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/up_sample1/bn" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1tmp" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 8 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3tmp" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionA_1/mask/up_sample/res1_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/res1_1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1/branch1/conv3_1x1" | |
| bottom: "AttentionA_1/mask/up_sample1" | |
| top: "AttentionA_1/mask/up_sample/res1_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/interp_1" | |
| type: "Interp" | |
| bottom: "AttentionA_1/mask/up_sample/res1_1" | |
| bottom: "res1_2/concat/bn/linear" | |
| top: "AttentionA_1/mask/up_sample/interp_1" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/interp_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/up_sample/interp_1" | |
| top: "AttentionA_1/mask/up_sample/interp_1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/interp_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/up_sample/interp_1tmp" | |
| top: "AttentionA_1/mask/up_sample/interp_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/up_sample/interp_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/up_sample/interp_1/bn" | |
| top: "AttentionA_1/mask/up_sample/interp_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/linear_1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/up_sample/interp_1/bn" | |
| top: "AttentionA_1/mask/linear_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/linear_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1/mask/linear_1" | |
| top: "AttentionA_1/mask/linear_1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/linear_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1/mask/linear_1tmp" | |
| top: "AttentionA_1/mask/linear_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/linear_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/mask/linear_1/bn" | |
| top: "AttentionA_1/mask/linear_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask/linear_2" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/mask/linear_1/bn" | |
| top: "AttentionA_1/mask/linear_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/mask" | |
| type: "TanH" | |
| bottom: "AttentionA_1/mask/linear_2" | |
| top: "AttentionA_1/mask" | |
| } | |
| layer { | |
| name: "AttentionA_1_residual" | |
| type: "Eltwise" | |
| bottom: "res1_2" | |
| bottom: "AttentionA_1/mask" | |
| top: "AttentionA_1_residual" | |
| eltwise_param { | |
| operation: PROD | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1" | |
| type: "Eltwise" | |
| bottom: "AttentionA_1_residual" | |
| bottom: "res1_2" | |
| top: "AttentionA_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionA_1" | |
| top: "AttentionA_1tmp" | |
| } | |
| layer { | |
| name: "AttentionA_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionA_1tmp" | |
| top: "AttentionA_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionA_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionA_1/bn" | |
| top: "AttentionA_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/bn" | |
| top: "res2_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res2_1/branch1/conv1_1x1" | |
| top: "res2_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res2_1/branch1/conv1_1x1tmp" | |
| top: "res2_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res2_1/branch1/conv1_1x1/bn" | |
| top: "res2_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res2_1/branch1/conv1_1x1/bn" | |
| top: "res2_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res2_1/branch1/conv2_3x3" | |
| top: "res2_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res2_1/branch1/conv2_3x3tmp" | |
| top: "res2_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res2_1/branch1/conv2_3x3/bn" | |
| top: "res2_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res2_1/branch1/conv2_3x3/bn" | |
| top: "res2_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2_1/branch2/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionA_1/bn" | |
| top: "res2_1/branch2/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2_1" | |
| type: "Eltwise" | |
| bottom: "res2_1/branch2/conv1_1x1" | |
| bottom: "res2_1/branch1/conv3_1x1" | |
| top: "res2_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res2_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res2_1" | |
| top: "res2_1tmp" | |
| } | |
| layer { | |
| name: "res2_1/bn_scale" | |
| type: "Scale" | |
| bottom: "res2_1tmp" | |
| top: "res2_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res2_1/bn" | |
| top: "res2_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "res2_1/bn" | |
| top: "res2_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res2_2/branch1/conv1_1x1" | |
| top: "res2_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res2_2/branch1/conv1_1x1tmp" | |
| top: "res2_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res2_2/branch1/conv1_1x1/bn" | |
| top: "res2_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res2_2/branch1/conv1_1x1/bn" | |
| top: "res2_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res2_2/branch1/conv2_3x3" | |
| top: "res2_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res2_2/branch1/conv2_3x3tmp" | |
| top: "res2_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res2_2/branch1/conv2_3x3/bn" | |
| top: "res2_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res2_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res2_2/branch1/conv2_3x3/bn" | |
| top: "res2_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2_2" | |
| type: "Eltwise" | |
| bottom: "res2_2/branch1/conv3_1x1" | |
| bottom: "res2_1" | |
| top: "res2_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pred_heatmap/32x32" | |
| type: "Interp" | |
| bottom: "hourglass_4/pred_heatmap" | |
| bottom: "res2_2" | |
| top: "hourglass_4/pred_heatmap/32x32" | |
| } | |
| layer { | |
| name: "res2_2/concat" | |
| type: "Concat" | |
| bottom: "hourglass_4/pred_heatmap/32x32" | |
| bottom: "res2_2" | |
| top: "res2_2/concat" | |
| } | |
| layer { | |
| name: "res2_2/concat/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res2_2/concat" | |
| top: "res2_2/concattmp" | |
| } | |
| layer { | |
| name: "res2_2/concat/bn_scale" | |
| type: "Scale" | |
| bottom: "res2_2/concattmp" | |
| top: "res2_2/concat/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2_2/concat/bn/relu" | |
| type: "PReLU" | |
| bottom: "res2_2/concat/bn" | |
| top: "res2_2/concat/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res2_2/concat/bn/linear" | |
| type: "Convolution" | |
| bottom: "res2_2/concat/bn" | |
| top: "res2_2/concat/bn/linear" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool1_3x3_s2" | |
| type: "Pooling" | |
| bottom: "res2_2/concat/bn/linear" | |
| top: "AttentionB_1/mask/down_sample/pool1_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool1_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/pool1_3x3_s2" | |
| top: "AttentionB_1/mask/down_sample/pool1_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool1_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/pool1_3x3_s2tmp" | |
| top: "AttentionB_1/mask/down_sample/pool1_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool1_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/pool1_3x3_s2/bn" | |
| top: "AttentionB_1/mask/down_sample/pool1_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/pool1_3x3_s2/bn" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1tmp" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3tmp" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1" | |
| type: "Eltwise" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| bottom: "AttentionB_1/mask/down_sample/pool1_3x3_s2" | |
| top: "AttentionB_1/mask/down_sample/res1_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool2_3x3_s2" | |
| type: "Pooling" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1" | |
| top: "AttentionB_1/mask/down_sample/pool2_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool2_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/pool2_3x3_s2" | |
| top: "AttentionB_1/mask/down_sample/pool2_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool2_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/pool2_3x3_s2tmp" | |
| top: "AttentionB_1/mask/down_sample/pool2_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/pool2_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/pool2_3x3_s2/bn" | |
| top: "AttentionB_1/mask/down_sample/pool2_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/pool2_3x3_s2/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1tmp" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3tmp" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1" | |
| type: "Eltwise" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/branch1/conv3_1x1" | |
| bottom: "AttentionB_1/mask/down_sample/pool2_3x3_s2" | |
| top: "AttentionB_1/mask/down_sample/res2_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1" | |
| top: "AttentionB_1/mask/down_sample/res2_1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1tmp" | |
| top: "AttentionB_1/mask/down_sample/res2_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1tmp" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3tmp" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/down_sample/res2_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res2_2" | |
| type: "Eltwise" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2/branch1/conv3_1x1" | |
| bottom: "AttentionB_1/mask/down_sample/res2_1" | |
| top: "AttentionB_1/mask/down_sample/res2_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/interp_2" | |
| type: "Interp" | |
| bottom: "AttentionB_1/mask/down_sample/res2_2" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1" | |
| top: "AttentionB_1/mask/up_sample/interp_2" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1" | |
| top: "AttentionB_1/mask/down_sample/res1_1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1tmp" | |
| top: "AttentionB_1/mask/down_sample/res1_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/down_sample/res1_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/bn" | |
| top: "AttentionB_1/mask/down_sample/res1_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1/bn" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1tmp" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3tmp" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/skip/res1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/skip/res1" | |
| type: "Eltwise" | |
| bottom: "AttentionB_1/mask/skip/res1/branch1/conv3_1x1" | |
| bottom: "AttentionB_1/mask/down_sample/res1_1" | |
| top: "AttentionB_1/mask/skip/res1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample1" | |
| type: "Eltwise" | |
| bottom: "AttentionB_1/mask/skip/res1" | |
| bottom: "AttentionB_1/mask/up_sample/interp_2" | |
| top: "AttentionB_1/mask/up_sample1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/up_sample1" | |
| top: "AttentionB_1/mask/up_sample1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/up_sample1tmp" | |
| top: "AttentionB_1/mask/up_sample1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/up_sample1/bn" | |
| top: "AttentionB_1/mask/up_sample1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/up_sample1/bn" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1tmp" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3tmp" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionB_1/mask/up_sample/res1_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/res1_1" | |
| type: "Eltwise" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1/branch1/conv3_1x1" | |
| bottom: "AttentionB_1/mask/up_sample1" | |
| top: "AttentionB_1/mask/up_sample/res1_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/interp_1" | |
| type: "Interp" | |
| bottom: "AttentionB_1/mask/up_sample/res1_1" | |
| bottom: "res2_2/concat/bn/linear" | |
| top: "AttentionB_1/mask/up_sample/interp_1" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/interp_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/up_sample/interp_1" | |
| top: "AttentionB_1/mask/up_sample/interp_1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/interp_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/up_sample/interp_1tmp" | |
| top: "AttentionB_1/mask/up_sample/interp_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/up_sample/interp_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/up_sample/interp_1/bn" | |
| top: "AttentionB_1/mask/up_sample/interp_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/linear_1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/up_sample/interp_1/bn" | |
| top: "AttentionB_1/mask/linear_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/linear_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1/mask/linear_1" | |
| top: "AttentionB_1/mask/linear_1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/linear_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1/mask/linear_1tmp" | |
| top: "AttentionB_1/mask/linear_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/linear_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/mask/linear_1/bn" | |
| top: "AttentionB_1/mask/linear_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask/linear_2" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/mask/linear_1/bn" | |
| top: "AttentionB_1/mask/linear_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/mask" | |
| type: "TanH" | |
| bottom: "AttentionB_1/mask/linear_2" | |
| top: "AttentionB_1/mask" | |
| } | |
| layer { | |
| name: "AttentionB_1_residual" | |
| type: "Eltwise" | |
| bottom: "res2_2" | |
| bottom: "AttentionB_1/mask" | |
| top: "AttentionB_1_residual" | |
| eltwise_param { | |
| operation: PROD | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1" | |
| type: "Eltwise" | |
| bottom: "AttentionB_1_residual" | |
| bottom: "res2_2" | |
| top: "AttentionB_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionB_1" | |
| top: "AttentionB_1tmp" | |
| } | |
| layer { | |
| name: "AttentionB_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionB_1tmp" | |
| top: "AttentionB_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionB_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionB_1/bn" | |
| top: "AttentionB_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/bn" | |
| top: "res3_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res3_1/branch1/conv1_1x1" | |
| top: "res3_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res3_1/branch1/conv1_1x1tmp" | |
| top: "res3_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res3_1/branch1/conv1_1x1/bn" | |
| top: "res3_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res3_1/branch1/conv1_1x1/bn" | |
| top: "res3_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res3_1/branch1/conv2_3x3" | |
| top: "res3_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res3_1/branch1/conv2_3x3tmp" | |
| top: "res3_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res3_1/branch1/conv2_3x3/bn" | |
| top: "res3_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res3_1/branch1/conv2_3x3/bn" | |
| top: "res3_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3_1/branch2/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionB_1/bn" | |
| top: "res3_1/branch2/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3_1" | |
| type: "Eltwise" | |
| bottom: "res3_1/branch2/conv1_1x1" | |
| bottom: "res3_1/branch1/conv3_1x1" | |
| top: "res3_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res3_1" | |
| top: "res3_1tmp" | |
| } | |
| layer { | |
| name: "res3_1/bn_scale" | |
| type: "Scale" | |
| bottom: "res3_1tmp" | |
| top: "res3_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res3_1/bn" | |
| top: "res3_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "res3_1/bn" | |
| top: "res3_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res3_2/branch1/conv1_1x1" | |
| top: "res3_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res3_2/branch1/conv1_1x1tmp" | |
| top: "res3_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res3_2/branch1/conv1_1x1/bn" | |
| top: "res3_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res3_2/branch1/conv1_1x1/bn" | |
| top: "res3_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res3_2/branch1/conv2_3x3" | |
| top: "res3_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res3_2/branch1/conv2_3x3tmp" | |
| top: "res3_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res3_2/branch1/conv2_3x3/bn" | |
| top: "res3_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res3_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res3_2/branch1/conv2_3x3/bn" | |
| top: "res3_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3_2" | |
| type: "Eltwise" | |
| bottom: "res3_2/branch1/conv3_1x1" | |
| bottom: "res3_1" | |
| top: "res3_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "hourglass_4/pred_heatmap/16x16" | |
| type: "Interp" | |
| bottom: "hourglass_4/pred_heatmap" | |
| bottom: "res3_2" | |
| top: "hourglass_4/pred_heatmap/16x16" | |
| } | |
| layer { | |
| name: "res3_2/concat" | |
| type: "Concat" | |
| bottom: "hourglass_4/pred_heatmap/16x16" | |
| bottom: "res3_2" | |
| top: "res3_2/concat" | |
| } | |
| layer { | |
| name: "res3_2/concat/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res3_2/concat" | |
| top: "res3_2/concattmp" | |
| } | |
| layer { | |
| name: "res3_2/concat/bn_scale" | |
| type: "Scale" | |
| bottom: "res3_2/concattmp" | |
| top: "res3_2/concat/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3_2/concat/bn/relu" | |
| type: "PReLU" | |
| bottom: "res3_2/concat/bn" | |
| top: "res3_2/concat/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res3_2/concat/bn/linear" | |
| type: "Convolution" | |
| bottom: "res3_2/concat/bn" | |
| top: "res3_2/concat/bn/linear" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/pool1_3x3_s2" | |
| type: "Pooling" | |
| bottom: "res3_2/concat/bn/linear" | |
| top: "AttentionC_1/mask/down_sample/pool1_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/pool1_3x3_s2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/down_sample/pool1_3x3_s2" | |
| top: "AttentionC_1/mask/down_sample/pool1_3x3_s2tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/pool1_3x3_s2/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/down_sample/pool1_3x3_s2tmp" | |
| top: "AttentionC_1/mask/down_sample/pool1_3x3_s2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/pool1_3x3_s2/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/down_sample/pool1_3x3_s2/bn" | |
| top: "AttentionC_1/mask/down_sample/pool1_3x3_s2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/down_sample/pool1_3x3_s2/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1tmp" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv1_1x1/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3tmp" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv2_3x3/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1" | |
| type: "Eltwise" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/branch1/conv3_1x1" | |
| bottom: "AttentionC_1/mask/down_sample/pool1_3x3_s2" | |
| top: "AttentionC_1/mask/down_sample/res1_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1" | |
| top: "AttentionC_1/mask/down_sample/res1_1tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1tmp" | |
| top: "AttentionC_1/mask/down_sample/res1_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1tmp" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv1_1x1/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3tmp" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv2_3x3/bn" | |
| top: "AttentionC_1/mask/down_sample/res1_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/down_sample/res1_2" | |
| type: "Eltwise" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2/branch1/conv3_1x1" | |
| bottom: "AttentionC_1/mask/down_sample/res1_1" | |
| top: "AttentionC_1/mask/down_sample/res1_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/up_sample/interp_1" | |
| type: "Interp" | |
| bottom: "AttentionC_1/mask/down_sample/res1_2" | |
| bottom: "res3_2/concat/bn/linear" | |
| top: "AttentionC_1/mask/up_sample/interp_1" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/up_sample/interp_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/up_sample/interp_1" | |
| top: "AttentionC_1/mask/up_sample/interp_1tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/up_sample/interp_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/up_sample/interp_1tmp" | |
| top: "AttentionC_1/mask/up_sample/interp_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/up_sample/interp_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/up_sample/interp_1/bn" | |
| top: "AttentionC_1/mask/up_sample/interp_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/linear_1" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/up_sample/interp_1/bn" | |
| top: "AttentionC_1/mask/linear_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/linear_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1/mask/linear_1" | |
| top: "AttentionC_1/mask/linear_1tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/linear_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1/mask/linear_1tmp" | |
| top: "AttentionC_1/mask/linear_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/linear_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/mask/linear_1/bn" | |
| top: "AttentionC_1/mask/linear_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask/linear_2" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/mask/linear_1/bn" | |
| top: "AttentionC_1/mask/linear_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/mask" | |
| type: "TanH" | |
| bottom: "AttentionC_1/mask/linear_2" | |
| top: "AttentionC_1/mask" | |
| } | |
| layer { | |
| name: "AttentionC_1_residual" | |
| type: "Eltwise" | |
| bottom: "res3_2" | |
| bottom: "AttentionC_1/mask" | |
| top: "AttentionC_1_residual" | |
| eltwise_param { | |
| operation: PROD | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1" | |
| type: "Eltwise" | |
| bottom: "AttentionC_1_residual" | |
| bottom: "res3_2" | |
| top: "AttentionC_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "AttentionC_1" | |
| top: "AttentionC_1tmp" | |
| } | |
| layer { | |
| name: "AttentionC_1/bn_scale" | |
| type: "Scale" | |
| bottom: "AttentionC_1tmp" | |
| top: "AttentionC_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "AttentionC_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "AttentionC_1/bn" | |
| top: "AttentionC_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/bn" | |
| top: "res4_1/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res4_1/branch1/conv1_1x1" | |
| top: "res4_1/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res4_1/branch1/conv1_1x1tmp" | |
| top: "res4_1/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res4_1/branch1/conv1_1x1/bn" | |
| top: "res4_1/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res4_1/branch1/conv1_1x1/bn" | |
| top: "res4_1/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res4_1/branch1/conv2_3x3" | |
| top: "res4_1/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res4_1/branch1/conv2_3x3tmp" | |
| top: "res4_1/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res4_1/branch1/conv2_3x3/bn" | |
| top: "res4_1/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res4_1/branch1/conv2_3x3/bn" | |
| top: "res4_1/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4_1/branch2/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "AttentionC_1/bn" | |
| top: "res4_1/branch2/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4_1" | |
| type: "Eltwise" | |
| bottom: "res4_1/branch2/conv1_1x1" | |
| bottom: "res4_1/branch1/conv3_1x1" | |
| top: "res4_1" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4_1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res4_1" | |
| top: "res4_1tmp" | |
| } | |
| layer { | |
| name: "res4_1/bn_scale" | |
| type: "Scale" | |
| bottom: "res4_1tmp" | |
| top: "res4_1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4_1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res4_1/bn" | |
| top: "res4_1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv1_1x1" | |
| type: "Convolution" | |
| bottom: "res4_1/bn" | |
| top: "res4_2/branch1/conv1_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv1_1x1/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res4_2/branch1/conv1_1x1" | |
| top: "res4_2/branch1/conv1_1x1tmp" | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv1_1x1/bn_scale" | |
| type: "Scale" | |
| bottom: "res4_2/branch1/conv1_1x1tmp" | |
| top: "res4_2/branch1/conv1_1x1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv1_1x1/bn/relu" | |
| type: "PReLU" | |
| bottom: "res4_2/branch1/conv1_1x1/bn" | |
| top: "res4_2/branch1/conv1_1x1/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv2_3x3" | |
| type: "Convolution" | |
| bottom: "res4_2/branch1/conv1_1x1/bn" | |
| top: "res4_2/branch1/conv2_3x3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv2_3x3/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res4_2/branch1/conv2_3x3" | |
| top: "res4_2/branch1/conv2_3x3tmp" | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv2_3x3/bn_scale" | |
| type: "Scale" | |
| bottom: "res4_2/branch1/conv2_3x3tmp" | |
| top: "res4_2/branch1/conv2_3x3/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv2_3x3/bn/relu" | |
| type: "PReLU" | |
| bottom: "res4_2/branch1/conv2_3x3/bn" | |
| top: "res4_2/branch1/conv2_3x3/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "res4_2/branch1/conv3_1x1" | |
| type: "Convolution" | |
| bottom: "res4_2/branch1/conv2_3x3/bn" | |
| top: "res4_2/branch1/conv3_1x1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4_2" | |
| type: "Eltwise" | |
| bottom: "res4_2/branch1/conv3_1x1" | |
| bottom: "res4_1" | |
| top: "res4_2" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4_2/bn_batchmorn" | |
| type: "BatchNorm" | |
| bottom: "res4_2" | |
| top: "res4_2tmp" | |
| } | |
| layer { | |
| name: "res4_2/bn_scale" | |
| type: "Scale" | |
| bottom: "res4_2tmp" | |
| top: "res4_2/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4_2/bn/relu" | |
| type: "PReLU" | |
| bottom: "res4_2/bn" | |
| top: "res4_2/bn" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "ip1" | |
| type: "InnerProduct" | |
| bottom: "res4_2/bn" | |
| top: "ip1" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 256 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "relu_ip1" | |
| type: "PReLU" | |
| bottom: "ip1" | |
| top: "ip1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "ip2" | |
| type: "InnerProduct" | |
| bottom: "ip1" | |
| top: "ip2" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 256 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "relu_ip2" | |
| type: "PReLU" | |
| bottom: "ip2" | |
| top: "ip2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| } | |
| layer { | |
| name: "ip3" | |
| type: "InnerProduct" | |
| bottom: "ip2" | |
| top: "ip3" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 196 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "result" | |
| type: "Eltwise" | |
| bottom: "ip3" | |
| bottom: "ip3" | |
| top: "result" | |
| eltwise_param { | |
| operation: SUM | |
| coeff: 0.5 | |
| coeff: 0.5 | |
| } | |
| } |
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