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| name: "PeleeNet-YOLO" | |
| input: "data" | |
| input_shape { | |
| dim: 1 | |
| dim: 3 | |
| dim: 416 | |
| dim: 416 | |
| } | |
| ###################### | |
| layer { | |
| name: "stem1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "stem1" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem1/bn" | |
| type: "BatchNorm" | |
| bottom: "stem1" | |
| top: "stem1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stem1/scale" | |
| type: "Scale" | |
| bottom: "stem1" | |
| top: "stem1" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem1/relu" | |
| type: "ReLU" | |
| bottom: "stem1" | |
| top: "stem1" | |
| } | |
| layer { | |
| name: "stem2a" | |
| type: "Convolution" | |
| bottom: "stem1" | |
| top: "stem2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stem2a" | |
| top: "stem2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stem2a/scale" | |
| type: "Scale" | |
| bottom: "stem2a" | |
| top: "stem2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem2a/relu" | |
| type: "ReLU" | |
| bottom: "stem2a" | |
| top: "stem2a" | |
| } | |
| layer { | |
| name: "stem2b" | |
| type: "Convolution" | |
| bottom: "stem2a" | |
| top: "stem2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stem2b" | |
| top: "stem2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stem2b/scale" | |
| type: "Scale" | |
| bottom: "stem2b" | |
| top: "stem2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem2b/relu" | |
| type: "ReLU" | |
| bottom: "stem2b" | |
| top: "stem2b" | |
| } | |
| layer { | |
| name: "stem/pool" | |
| type: "Pooling" | |
| bottom: "stem1" | |
| top: "stem/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "stem/concat" | |
| type: "Concat" | |
| bottom: "stem/pool" | |
| bottom: "stem2b" | |
| top: "stem/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stem3" | |
| type: "Convolution" | |
| bottom: "stem/concat" | |
| top: "stem3" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem3/bn" | |
| type: "BatchNorm" | |
| bottom: "stem3" | |
| top: "stem3" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stem3/scale" | |
| type: "Scale" | |
| bottom: "stem3" | |
| top: "stem3" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stem3/relu" | |
| type: "ReLU" | |
| bottom: "stem3" | |
| top: "stem3" | |
| } | |
| layer { | |
| name: "stage1_1/branch1a" | |
| type: "Convolution" | |
| bottom: "stem3" | |
| top: "stage1_1/branch1a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_1/branch1a" | |
| top: "stage1_1/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage1_1/branch1a" | |
| top: "stage1_1/branch1a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage1_1/branch1a" | |
| top: "stage1_1/branch1a" | |
| } | |
| layer { | |
| name: "stage1_1/branch1b" | |
| type: "Convolution" | |
| bottom: "stage1_1/branch1a" | |
| top: "stage1_1/branch1b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_1/branch1b" | |
| top: "stage1_1/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage1_1/branch1b" | |
| top: "stage1_1/branch1b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage1_1/branch1b" | |
| top: "stage1_1/branch1b" | |
| } | |
| layer { | |
| name: "stage1_1/branch2a" | |
| type: "Convolution" | |
| bottom: "stem3" | |
| top: "stage1_1/branch2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_1/branch2a" | |
| top: "stage1_1/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage1_1/branch2a" | |
| top: "stage1_1/branch2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage1_1/branch2a" | |
| top: "stage1_1/branch2a" | |
| } | |
| layer { | |
| name: "stage1_1/branch2b" | |
| type: "Convolution" | |
| bottom: "stage1_1/branch2a" | |
| top: "stage1_1/branch2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_1/branch2b" | |
| top: "stage1_1/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage1_1/branch2b" | |
| top: "stage1_1/branch2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage1_1/branch2b" | |
| top: "stage1_1/branch2b" | |
| } | |
| layer { | |
| name: "stage1_1/branch2c" | |
| type: "Convolution" | |
| bottom: "stage1_1/branch2b" | |
| top: "stage1_1/branch2c" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_1/branch2c" | |
| top: "stage1_1/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage1_1/branch2c" | |
| top: "stage1_1/branch2c" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_1/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage1_1/branch2c" | |
| top: "stage1_1/branch2c" | |
| } | |
| layer { | |
| name: "stage1_1/concat" | |
| type: "Concat" | |
| bottom: "stem3" | |
| bottom: "stage1_1/branch1b" | |
| bottom: "stage1_1/branch2c" | |
| top: "stage1_1/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch1a" | |
| type: "Convolution" | |
| bottom: "stage1_1/concat" | |
| top: "stage1_2/branch1a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_2/branch1a" | |
| top: "stage1_2/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage1_2/branch1a" | |
| top: "stage1_2/branch1a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage1_2/branch1a" | |
| top: "stage1_2/branch1a" | |
| } | |
| layer { | |
| name: "stage1_2/branch1b" | |
| type: "Convolution" | |
| bottom: "stage1_2/branch1a" | |
| top: "stage1_2/branch1b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_2/branch1b" | |
| top: "stage1_2/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage1_2/branch1b" | |
| top: "stage1_2/branch1b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage1_2/branch1b" | |
| top: "stage1_2/branch1b" | |
| } | |
| layer { | |
| name: "stage1_2/branch2a" | |
| type: "Convolution" | |
| bottom: "stage1_1/concat" | |
| top: "stage1_2/branch2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_2/branch2a" | |
| top: "stage1_2/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage1_2/branch2a" | |
| top: "stage1_2/branch2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage1_2/branch2a" | |
| top: "stage1_2/branch2a" | |
| } | |
| layer { | |
| name: "stage1_2/branch2b" | |
| type: "Convolution" | |
| bottom: "stage1_2/branch2a" | |
| top: "stage1_2/branch2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_2/branch2b" | |
| top: "stage1_2/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage1_2/branch2b" | |
| top: "stage1_2/branch2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage1_2/branch2b" | |
| top: "stage1_2/branch2b" | |
| } | |
| layer { | |
| name: "stage1_2/branch2c" | |
| type: "Convolution" | |
| bottom: "stage1_2/branch2b" | |
| top: "stage1_2/branch2c" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_2/branch2c" | |
| top: "stage1_2/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage1_2/branch2c" | |
| top: "stage1_2/branch2c" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_2/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage1_2/branch2c" | |
| top: "stage1_2/branch2c" | |
| } | |
| layer { | |
| name: "stage1_2/concat" | |
| type: "Concat" | |
| bottom: "stage1_1/concat" | |
| bottom: "stage1_2/branch1b" | |
| bottom: "stage1_2/branch2c" | |
| top: "stage1_2/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch1a" | |
| type: "Convolution" | |
| bottom: "stage1_2/concat" | |
| top: "stage1_3/branch1a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_3/branch1a" | |
| top: "stage1_3/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage1_3/branch1a" | |
| top: "stage1_3/branch1a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage1_3/branch1a" | |
| top: "stage1_3/branch1a" | |
| } | |
| layer { | |
| name: "stage1_3/branch1b" | |
| type: "Convolution" | |
| bottom: "stage1_3/branch1a" | |
| top: "stage1_3/branch1b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_3/branch1b" | |
| top: "stage1_3/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage1_3/branch1b" | |
| top: "stage1_3/branch1b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage1_3/branch1b" | |
| top: "stage1_3/branch1b" | |
| } | |
| layer { | |
| name: "stage1_3/branch2a" | |
| type: "Convolution" | |
| bottom: "stage1_2/concat" | |
| top: "stage1_3/branch2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_3/branch2a" | |
| top: "stage1_3/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage1_3/branch2a" | |
| top: "stage1_3/branch2a" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage1_3/branch2a" | |
| top: "stage1_3/branch2a" | |
| } | |
| layer { | |
| name: "stage1_3/branch2b" | |
| type: "Convolution" | |
| bottom: "stage1_3/branch2a" | |
| top: "stage1_3/branch2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_3/branch2b" | |
| top: "stage1_3/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage1_3/branch2b" | |
| top: "stage1_3/branch2b" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage1_3/branch2b" | |
| top: "stage1_3/branch2b" | |
| } | |
| layer { | |
| name: "stage1_3/branch2c" | |
| type: "Convolution" | |
| bottom: "stage1_3/branch2b" | |
| top: "stage1_3/branch2c" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_3/branch2c" | |
| top: "stage1_3/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage1_3/branch2c" | |
| top: "stage1_3/branch2c" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_3/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage1_3/branch2c" | |
| top: "stage1_3/branch2c" | |
| } | |
| layer { | |
| name: "stage1_3/concat" | |
| type: "Concat" | |
| bottom: "stage1_2/concat" | |
| bottom: "stage1_3/branch1b" | |
| bottom: "stage1_3/branch2c" | |
| top: "stage1_3/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage1_tb" | |
| type: "Convolution" | |
| bottom: "stage1_3/concat" | |
| top: "stage1_tb" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_tb/bn" | |
| type: "BatchNorm" | |
| bottom: "stage1_tb" | |
| top: "stage1_tb" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage1_tb/scale" | |
| type: "Scale" | |
| bottom: "stage1_tb" | |
| top: "stage1_tb" | |
| param { | |
| lr_mult: 0.1 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0.0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage1_tb/relu" | |
| type: "ReLU" | |
| bottom: "stage1_tb" | |
| top: "stage1_tb" | |
| } | |
| layer { | |
| name: "stage1_tb/pool" | |
| type: "Pooling" | |
| bottom: "stage1_tb" | |
| top: "stage1_tb/pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch1a" | |
| type: "Convolution" | |
| bottom: "stage1_tb/pool" | |
| top: "stage2_1/branch1a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_1/branch1a" | |
| top: "stage2_1/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage2_1/branch1a" | |
| top: "stage2_1/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_1/branch1a" | |
| top: "stage2_1/branch1a" | |
| } | |
| layer { | |
| name: "stage2_1/branch1b" | |
| type: "Convolution" | |
| bottom: "stage2_1/branch1a" | |
| top: "stage2_1/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_1/branch1b" | |
| top: "stage2_1/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage2_1/branch1b" | |
| top: "stage2_1/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_1/branch1b" | |
| top: "stage2_1/branch1b" | |
| } | |
| layer { | |
| name: "stage2_1/branch2a" | |
| type: "Convolution" | |
| bottom: "stage1_tb/pool" | |
| top: "stage2_1/branch2a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_1/branch2a" | |
| top: "stage2_1/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage2_1/branch2a" | |
| top: "stage2_1/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_1/branch2a" | |
| top: "stage2_1/branch2a" | |
| } | |
| layer { | |
| name: "stage2_1/branch2b" | |
| type: "Convolution" | |
| bottom: "stage2_1/branch2a" | |
| top: "stage2_1/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_1/branch2b" | |
| top: "stage2_1/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage2_1/branch2b" | |
| top: "stage2_1/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_1/branch2b" | |
| top: "stage2_1/branch2b" | |
| } | |
| layer { | |
| name: "stage2_1/branch2c" | |
| type: "Convolution" | |
| bottom: "stage2_1/branch2b" | |
| top: "stage2_1/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_1/branch2c" | |
| top: "stage2_1/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage2_1/branch2c" | |
| top: "stage2_1/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_1/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage2_1/branch2c" | |
| top: "stage2_1/branch2c" | |
| } | |
| layer { | |
| name: "stage2_1/concat" | |
| type: "Concat" | |
| bottom: "stage1_tb/pool" | |
| bottom: "stage2_1/branch1b" | |
| bottom: "stage2_1/branch2c" | |
| top: "stage2_1/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch1a" | |
| type: "Convolution" | |
| bottom: "stage2_1/concat" | |
| top: "stage2_2/branch1a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_2/branch1a" | |
| top: "stage2_2/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage2_2/branch1a" | |
| top: "stage2_2/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_2/branch1a" | |
| top: "stage2_2/branch1a" | |
| } | |
| layer { | |
| name: "stage2_2/branch1b" | |
| type: "Convolution" | |
| bottom: "stage2_2/branch1a" | |
| top: "stage2_2/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_2/branch1b" | |
| top: "stage2_2/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage2_2/branch1b" | |
| top: "stage2_2/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_2/branch1b" | |
| top: "stage2_2/branch1b" | |
| } | |
| layer { | |
| name: "stage2_2/branch2a" | |
| type: "Convolution" | |
| bottom: "stage2_1/concat" | |
| top: "stage2_2/branch2a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_2/branch2a" | |
| top: "stage2_2/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage2_2/branch2a" | |
| top: "stage2_2/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_2/branch2a" | |
| top: "stage2_2/branch2a" | |
| } | |
| layer { | |
| name: "stage2_2/branch2b" | |
| type: "Convolution" | |
| bottom: "stage2_2/branch2a" | |
| top: "stage2_2/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_2/branch2b" | |
| top: "stage2_2/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage2_2/branch2b" | |
| top: "stage2_2/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_2/branch2b" | |
| top: "stage2_2/branch2b" | |
| } | |
| layer { | |
| name: "stage2_2/branch2c" | |
| type: "Convolution" | |
| bottom: "stage2_2/branch2b" | |
| top: "stage2_2/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_2/branch2c" | |
| top: "stage2_2/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage2_2/branch2c" | |
| top: "stage2_2/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_2/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage2_2/branch2c" | |
| top: "stage2_2/branch2c" | |
| } | |
| layer { | |
| name: "stage2_2/concat" | |
| type: "Concat" | |
| bottom: "stage2_1/concat" | |
| bottom: "stage2_2/branch1b" | |
| bottom: "stage2_2/branch2c" | |
| top: "stage2_2/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch1a" | |
| type: "Convolution" | |
| bottom: "stage2_2/concat" | |
| top: "stage2_3/branch1a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_3/branch1a" | |
| top: "stage2_3/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage2_3/branch1a" | |
| top: "stage2_3/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_3/branch1a" | |
| top: "stage2_3/branch1a" | |
| } | |
| layer { | |
| name: "stage2_3/branch1b" | |
| type: "Convolution" | |
| bottom: "stage2_3/branch1a" | |
| top: "stage2_3/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_3/branch1b" | |
| top: "stage2_3/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage2_3/branch1b" | |
| top: "stage2_3/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_3/branch1b" | |
| top: "stage2_3/branch1b" | |
| } | |
| layer { | |
| name: "stage2_3/branch2a" | |
| type: "Convolution" | |
| bottom: "stage2_2/concat" | |
| top: "stage2_3/branch2a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_3/branch2a" | |
| top: "stage2_3/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage2_3/branch2a" | |
| top: "stage2_3/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_3/branch2a" | |
| top: "stage2_3/branch2a" | |
| } | |
| layer { | |
| name: "stage2_3/branch2b" | |
| type: "Convolution" | |
| bottom: "stage2_3/branch2a" | |
| top: "stage2_3/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_3/branch2b" | |
| top: "stage2_3/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage2_3/branch2b" | |
| top: "stage2_3/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_3/branch2b" | |
| top: "stage2_3/branch2b" | |
| } | |
| layer { | |
| name: "stage2_3/branch2c" | |
| type: "Convolution" | |
| bottom: "stage2_3/branch2b" | |
| top: "stage2_3/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_3/branch2c" | |
| top: "stage2_3/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage2_3/branch2c" | |
| top: "stage2_3/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_3/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage2_3/branch2c" | |
| top: "stage2_3/branch2c" | |
| } | |
| layer { | |
| name: "stage2_3/concat" | |
| type: "Concat" | |
| bottom: "stage2_2/concat" | |
| bottom: "stage2_3/branch1b" | |
| bottom: "stage2_3/branch2c" | |
| top: "stage2_3/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch1a" | |
| type: "Convolution" | |
| bottom: "stage2_3/concat" | |
| top: "stage2_4/branch1a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_4/branch1a" | |
| top: "stage2_4/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage2_4/branch1a" | |
| top: "stage2_4/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_4/branch1a" | |
| top: "stage2_4/branch1a" | |
| } | |
| layer { | |
| name: "stage2_4/branch1b" | |
| type: "Convolution" | |
| bottom: "stage2_4/branch1a" | |
| top: "stage2_4/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_4/branch1b" | |
| top: "stage2_4/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage2_4/branch1b" | |
| top: "stage2_4/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_4/branch1b" | |
| top: "stage2_4/branch1b" | |
| } | |
| layer { | |
| name: "stage2_4/branch2a" | |
| type: "Convolution" | |
| bottom: "stage2_3/concat" | |
| top: "stage2_4/branch2a" | |
| convolution_param { | |
| num_output: 32 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_4/branch2a" | |
| top: "stage2_4/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage2_4/branch2a" | |
| top: "stage2_4/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage2_4/branch2a" | |
| top: "stage2_4/branch2a" | |
| } | |
| layer { | |
| name: "stage2_4/branch2b" | |
| type: "Convolution" | |
| bottom: "stage2_4/branch2a" | |
| top: "stage2_4/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_4/branch2b" | |
| top: "stage2_4/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage2_4/branch2b" | |
| top: "stage2_4/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage2_4/branch2b" | |
| top: "stage2_4/branch2b" | |
| } | |
| layer { | |
| name: "stage2_4/branch2c" | |
| type: "Convolution" | |
| bottom: "stage2_4/branch2b" | |
| top: "stage2_4/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_4/branch2c" | |
| top: "stage2_4/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage2_4/branch2c" | |
| top: "stage2_4/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_4/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage2_4/branch2c" | |
| top: "stage2_4/branch2c" | |
| } | |
| layer { | |
| name: "stage2_4/concat" | |
| type: "Concat" | |
| bottom: "stage2_3/concat" | |
| bottom: "stage2_4/branch1b" | |
| bottom: "stage2_4/branch2c" | |
| top: "stage2_4/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage2_tb" | |
| type: "Convolution" | |
| bottom: "stage2_4/concat" | |
| top: "stage2_tb" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_tb/bn" | |
| type: "BatchNorm" | |
| bottom: "stage2_tb" | |
| top: "stage2_tb" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage2_tb/scale" | |
| type: "Scale" | |
| bottom: "stage2_tb" | |
| top: "stage2_tb" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage2_tb/relu" | |
| type: "ReLU" | |
| bottom: "stage2_tb" | |
| top: "stage2_tb" | |
| } | |
| layer { | |
| name: "stage2_tb/pool" | |
| type: "Pooling" | |
| bottom: "stage2_tb" | |
| top: "stage2_tb/pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch1a" | |
| type: "Convolution" | |
| bottom: "stage2_tb/pool" | |
| top: "stage3_1/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_1/branch1a" | |
| top: "stage3_1/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_1/branch1a" | |
| top: "stage3_1/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_1/branch1a" | |
| top: "stage3_1/branch1a" | |
| } | |
| layer { | |
| name: "stage3_1/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_1/branch1a" | |
| top: "stage3_1/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_1/branch1b" | |
| top: "stage3_1/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_1/branch1b" | |
| top: "stage3_1/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_1/branch1b" | |
| top: "stage3_1/branch1b" | |
| } | |
| layer { | |
| name: "stage3_1/branch2a" | |
| type: "Convolution" | |
| bottom: "stage2_tb/pool" | |
| top: "stage3_1/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_1/branch2a" | |
| top: "stage3_1/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_1/branch2a" | |
| top: "stage3_1/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_1/branch2a" | |
| top: "stage3_1/branch2a" | |
| } | |
| layer { | |
| name: "stage3_1/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_1/branch2a" | |
| top: "stage3_1/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_1/branch2b" | |
| top: "stage3_1/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_1/branch2b" | |
| top: "stage3_1/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_1/branch2b" | |
| top: "stage3_1/branch2b" | |
| } | |
| layer { | |
| name: "stage3_1/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_1/branch2b" | |
| top: "stage3_1/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_1/branch2c" | |
| top: "stage3_1/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_1/branch2c" | |
| top: "stage3_1/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_1/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_1/branch2c" | |
| top: "stage3_1/branch2c" | |
| } | |
| layer { | |
| name: "stage3_1/concat" | |
| type: "Concat" | |
| bottom: "stage2_tb/pool" | |
| bottom: "stage3_1/branch1b" | |
| bottom: "stage3_1/branch2c" | |
| top: "stage3_1/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_1/concat" | |
| top: "stage3_2/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_2/branch1a" | |
| top: "stage3_2/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_2/branch1a" | |
| top: "stage3_2/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_2/branch1a" | |
| top: "stage3_2/branch1a" | |
| } | |
| layer { | |
| name: "stage3_2/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_2/branch1a" | |
| top: "stage3_2/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_2/branch1b" | |
| top: "stage3_2/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_2/branch1b" | |
| top: "stage3_2/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_2/branch1b" | |
| top: "stage3_2/branch1b" | |
| } | |
| layer { | |
| name: "stage3_2/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_1/concat" | |
| top: "stage3_2/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_2/branch2a" | |
| top: "stage3_2/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_2/branch2a" | |
| top: "stage3_2/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_2/branch2a" | |
| top: "stage3_2/branch2a" | |
| } | |
| layer { | |
| name: "stage3_2/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_2/branch2a" | |
| top: "stage3_2/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_2/branch2b" | |
| top: "stage3_2/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_2/branch2b" | |
| top: "stage3_2/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_2/branch2b" | |
| top: "stage3_2/branch2b" | |
| } | |
| layer { | |
| name: "stage3_2/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_2/branch2b" | |
| top: "stage3_2/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_2/branch2c" | |
| top: "stage3_2/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_2/branch2c" | |
| top: "stage3_2/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_2/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_2/branch2c" | |
| top: "stage3_2/branch2c" | |
| } | |
| layer { | |
| name: "stage3_2/concat" | |
| type: "Concat" | |
| bottom: "stage3_1/concat" | |
| bottom: "stage3_2/branch1b" | |
| bottom: "stage3_2/branch2c" | |
| top: "stage3_2/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_2/concat" | |
| top: "stage3_3/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_3/branch1a" | |
| top: "stage3_3/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_3/branch1a" | |
| top: "stage3_3/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_3/branch1a" | |
| top: "stage3_3/branch1a" | |
| } | |
| layer { | |
| name: "stage3_3/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_3/branch1a" | |
| top: "stage3_3/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_3/branch1b" | |
| top: "stage3_3/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_3/branch1b" | |
| top: "stage3_3/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_3/branch1b" | |
| top: "stage3_3/branch1b" | |
| } | |
| layer { | |
| name: "stage3_3/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_2/concat" | |
| top: "stage3_3/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_3/branch2a" | |
| top: "stage3_3/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_3/branch2a" | |
| top: "stage3_3/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_3/branch2a" | |
| top: "stage3_3/branch2a" | |
| } | |
| layer { | |
| name: "stage3_3/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_3/branch2a" | |
| top: "stage3_3/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_3/branch2b" | |
| top: "stage3_3/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_3/branch2b" | |
| top: "stage3_3/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_3/branch2b" | |
| top: "stage3_3/branch2b" | |
| } | |
| layer { | |
| name: "stage3_3/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_3/branch2b" | |
| top: "stage3_3/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_3/branch2c" | |
| top: "stage3_3/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_3/branch2c" | |
| top: "stage3_3/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_3/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_3/branch2c" | |
| top: "stage3_3/branch2c" | |
| } | |
| layer { | |
| name: "stage3_3/concat" | |
| type: "Concat" | |
| bottom: "stage3_2/concat" | |
| bottom: "stage3_3/branch1b" | |
| bottom: "stage3_3/branch2c" | |
| top: "stage3_3/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_3/concat" | |
| top: "stage3_4/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_4/branch1a" | |
| top: "stage3_4/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_4/branch1a" | |
| top: "stage3_4/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_4/branch1a" | |
| top: "stage3_4/branch1a" | |
| } | |
| layer { | |
| name: "stage3_4/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_4/branch1a" | |
| top: "stage3_4/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_4/branch1b" | |
| top: "stage3_4/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_4/branch1b" | |
| top: "stage3_4/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_4/branch1b" | |
| top: "stage3_4/branch1b" | |
| } | |
| layer { | |
| name: "stage3_4/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_3/concat" | |
| top: "stage3_4/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_4/branch2a" | |
| top: "stage3_4/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_4/branch2a" | |
| top: "stage3_4/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_4/branch2a" | |
| top: "stage3_4/branch2a" | |
| } | |
| layer { | |
| name: "stage3_4/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_4/branch2a" | |
| top: "stage3_4/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_4/branch2b" | |
| top: "stage3_4/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_4/branch2b" | |
| top: "stage3_4/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_4/branch2b" | |
| top: "stage3_4/branch2b" | |
| } | |
| layer { | |
| name: "stage3_4/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_4/branch2b" | |
| top: "stage3_4/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_4/branch2c" | |
| top: "stage3_4/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_4/branch2c" | |
| top: "stage3_4/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_4/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_4/branch2c" | |
| top: "stage3_4/branch2c" | |
| } | |
| layer { | |
| name: "stage3_4/concat" | |
| type: "Concat" | |
| bottom: "stage3_3/concat" | |
| bottom: "stage3_4/branch1b" | |
| bottom: "stage3_4/branch2c" | |
| top: "stage3_4/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_4/concat" | |
| top: "stage3_5/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_5/branch1a" | |
| top: "stage3_5/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_5/branch1a" | |
| top: "stage3_5/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_5/branch1a" | |
| top: "stage3_5/branch1a" | |
| } | |
| layer { | |
| name: "stage3_5/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_5/branch1a" | |
| top: "stage3_5/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_5/branch1b" | |
| top: "stage3_5/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_5/branch1b" | |
| top: "stage3_5/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_5/branch1b" | |
| top: "stage3_5/branch1b" | |
| } | |
| layer { | |
| name: "stage3_5/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_4/concat" | |
| top: "stage3_5/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_5/branch2a" | |
| top: "stage3_5/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_5/branch2a" | |
| top: "stage3_5/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_5/branch2a" | |
| top: "stage3_5/branch2a" | |
| } | |
| layer { | |
| name: "stage3_5/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_5/branch2a" | |
| top: "stage3_5/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_5/branch2b" | |
| top: "stage3_5/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_5/branch2b" | |
| top: "stage3_5/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_5/branch2b" | |
| top: "stage3_5/branch2b" | |
| } | |
| layer { | |
| name: "stage3_5/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_5/branch2b" | |
| top: "stage3_5/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_5/branch2c" | |
| top: "stage3_5/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_5/branch2c" | |
| top: "stage3_5/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_5/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_5/branch2c" | |
| top: "stage3_5/branch2c" | |
| } | |
| layer { | |
| name: "stage3_5/concat" | |
| type: "Concat" | |
| bottom: "stage3_4/concat" | |
| bottom: "stage3_5/branch1b" | |
| bottom: "stage3_5/branch2c" | |
| top: "stage3_5/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_5/concat" | |
| top: "stage3_6/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_6/branch1a" | |
| top: "stage3_6/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_6/branch1a" | |
| top: "stage3_6/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_6/branch1a" | |
| top: "stage3_6/branch1a" | |
| } | |
| layer { | |
| name: "stage3_6/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_6/branch1a" | |
| top: "stage3_6/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_6/branch1b" | |
| top: "stage3_6/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_6/branch1b" | |
| top: "stage3_6/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_6/branch1b" | |
| top: "stage3_6/branch1b" | |
| } | |
| layer { | |
| name: "stage3_6/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_5/concat" | |
| top: "stage3_6/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_6/branch2a" | |
| top: "stage3_6/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_6/branch2a" | |
| top: "stage3_6/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_6/branch2a" | |
| top: "stage3_6/branch2a" | |
| } | |
| layer { | |
| name: "stage3_6/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_6/branch2a" | |
| top: "stage3_6/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_6/branch2b" | |
| top: "stage3_6/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_6/branch2b" | |
| top: "stage3_6/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_6/branch2b" | |
| top: "stage3_6/branch2b" | |
| } | |
| layer { | |
| name: "stage3_6/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_6/branch2b" | |
| top: "stage3_6/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_6/branch2c" | |
| top: "stage3_6/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_6/branch2c" | |
| top: "stage3_6/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_6/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_6/branch2c" | |
| top: "stage3_6/branch2c" | |
| } | |
| layer { | |
| name: "stage3_6/concat" | |
| type: "Concat" | |
| bottom: "stage3_5/concat" | |
| bottom: "stage3_6/branch1b" | |
| bottom: "stage3_6/branch2c" | |
| top: "stage3_6/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_6/concat" | |
| top: "stage3_7/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_7/branch1a" | |
| top: "stage3_7/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_7/branch1a" | |
| top: "stage3_7/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_7/branch1a" | |
| top: "stage3_7/branch1a" | |
| } | |
| layer { | |
| name: "stage3_7/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_7/branch1a" | |
| top: "stage3_7/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_7/branch1b" | |
| top: "stage3_7/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_7/branch1b" | |
| top: "stage3_7/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_7/branch1b" | |
| top: "stage3_7/branch1b" | |
| } | |
| layer { | |
| name: "stage3_7/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_6/concat" | |
| top: "stage3_7/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_7/branch2a" | |
| top: "stage3_7/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_7/branch2a" | |
| top: "stage3_7/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_7/branch2a" | |
| top: "stage3_7/branch2a" | |
| } | |
| layer { | |
| name: "stage3_7/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_7/branch2a" | |
| top: "stage3_7/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_7/branch2b" | |
| top: "stage3_7/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_7/branch2b" | |
| top: "stage3_7/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_7/branch2b" | |
| top: "stage3_7/branch2b" | |
| } | |
| layer { | |
| name: "stage3_7/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_7/branch2b" | |
| top: "stage3_7/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_7/branch2c" | |
| top: "stage3_7/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_7/branch2c" | |
| top: "stage3_7/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_7/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_7/branch2c" | |
| top: "stage3_7/branch2c" | |
| } | |
| layer { | |
| name: "stage3_7/concat" | |
| type: "Concat" | |
| bottom: "stage3_6/concat" | |
| bottom: "stage3_7/branch1b" | |
| bottom: "stage3_7/branch2c" | |
| top: "stage3_7/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_7/concat" | |
| top: "stage3_8/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_8/branch1a" | |
| top: "stage3_8/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage3_8/branch1a" | |
| top: "stage3_8/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_8/branch1a" | |
| top: "stage3_8/branch1a" | |
| } | |
| layer { | |
| name: "stage3_8/branch1b" | |
| type: "Convolution" | |
| bottom: "stage3_8/branch1a" | |
| top: "stage3_8/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_8/branch1b" | |
| top: "stage3_8/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage3_8/branch1b" | |
| top: "stage3_8/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_8/branch1b" | |
| top: "stage3_8/branch1b" | |
| } | |
| layer { | |
| name: "stage3_8/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_7/concat" | |
| top: "stage3_8/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_8/branch2a" | |
| top: "stage3_8/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage3_8/branch2a" | |
| top: "stage3_8/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage3_8/branch2a" | |
| top: "stage3_8/branch2a" | |
| } | |
| layer { | |
| name: "stage3_8/branch2b" | |
| type: "Convolution" | |
| bottom: "stage3_8/branch2a" | |
| top: "stage3_8/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_8/branch2b" | |
| top: "stage3_8/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage3_8/branch2b" | |
| top: "stage3_8/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage3_8/branch2b" | |
| top: "stage3_8/branch2b" | |
| } | |
| layer { | |
| name: "stage3_8/branch2c" | |
| type: "Convolution" | |
| bottom: "stage3_8/branch2b" | |
| top: "stage3_8/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_8/branch2c" | |
| top: "stage3_8/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage3_8/branch2c" | |
| top: "stage3_8/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_8/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage3_8/branch2c" | |
| top: "stage3_8/branch2c" | |
| } | |
| layer { | |
| name: "stage3_8/concat" | |
| type: "Concat" | |
| bottom: "stage3_7/concat" | |
| bottom: "stage3_8/branch1b" | |
| bottom: "stage3_8/branch2c" | |
| top: "stage3_8/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage3_tb" | |
| type: "Convolution" | |
| bottom: "stage3_8/concat" | |
| top: "stage3_tb" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_tb/bn" | |
| type: "BatchNorm" | |
| bottom: "stage3_tb" | |
| top: "stage3_tb" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage3_tb/scale" | |
| type: "Scale" | |
| bottom: "stage3_tb" | |
| top: "stage3_tb" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage3_tb/relu" | |
| type: "ReLU" | |
| bottom: "stage3_tb" | |
| top: "stage3_tb" | |
| } | |
| layer { | |
| name: "stage3_tb/pool" | |
| type: "Pooling" | |
| bottom: "stage3_tb" | |
| top: "stage3_tb/pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch1a" | |
| type: "Convolution" | |
| bottom: "stage3_tb/pool" | |
| top: "stage4_1/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_1/branch1a" | |
| top: "stage4_1/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage4_1/branch1a" | |
| top: "stage4_1/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_1/branch1a" | |
| top: "stage4_1/branch1a" | |
| } | |
| layer { | |
| name: "stage4_1/branch1b" | |
| type: "Convolution" | |
| bottom: "stage4_1/branch1a" | |
| top: "stage4_1/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_1/branch1b" | |
| top: "stage4_1/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage4_1/branch1b" | |
| top: "stage4_1/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_1/branch1b" | |
| top: "stage4_1/branch1b" | |
| } | |
| layer { | |
| name: "stage4_1/branch2a" | |
| type: "Convolution" | |
| bottom: "stage3_tb/pool" | |
| top: "stage4_1/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_1/branch2a" | |
| top: "stage4_1/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage4_1/branch2a" | |
| top: "stage4_1/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_1/branch2a" | |
| top: "stage4_1/branch2a" | |
| } | |
| layer { | |
| name: "stage4_1/branch2b" | |
| type: "Convolution" | |
| bottom: "stage4_1/branch2a" | |
| top: "stage4_1/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_1/branch2b" | |
| top: "stage4_1/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage4_1/branch2b" | |
| top: "stage4_1/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_1/branch2b" | |
| top: "stage4_1/branch2b" | |
| } | |
| layer { | |
| name: "stage4_1/branch2c" | |
| type: "Convolution" | |
| bottom: "stage4_1/branch2b" | |
| top: "stage4_1/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_1/branch2c" | |
| top: "stage4_1/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage4_1/branch2c" | |
| top: "stage4_1/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_1/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage4_1/branch2c" | |
| top: "stage4_1/branch2c" | |
| } | |
| layer { | |
| name: "stage4_1/concat" | |
| type: "Concat" | |
| bottom: "stage3_tb/pool" | |
| bottom: "stage4_1/branch1b" | |
| bottom: "stage4_1/branch2c" | |
| top: "stage4_1/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch1a" | |
| type: "Convolution" | |
| bottom: "stage4_1/concat" | |
| top: "stage4_2/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_2/branch1a" | |
| top: "stage4_2/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage4_2/branch1a" | |
| top: "stage4_2/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_2/branch1a" | |
| top: "stage4_2/branch1a" | |
| } | |
| layer { | |
| name: "stage4_2/branch1b" | |
| type: "Convolution" | |
| bottom: "stage4_2/branch1a" | |
| top: "stage4_2/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_2/branch1b" | |
| top: "stage4_2/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage4_2/branch1b" | |
| top: "stage4_2/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_2/branch1b" | |
| top: "stage4_2/branch1b" | |
| } | |
| layer { | |
| name: "stage4_2/branch2a" | |
| type: "Convolution" | |
| bottom: "stage4_1/concat" | |
| top: "stage4_2/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_2/branch2a" | |
| top: "stage4_2/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage4_2/branch2a" | |
| top: "stage4_2/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_2/branch2a" | |
| top: "stage4_2/branch2a" | |
| } | |
| layer { | |
| name: "stage4_2/branch2b" | |
| type: "Convolution" | |
| bottom: "stage4_2/branch2a" | |
| top: "stage4_2/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_2/branch2b" | |
| top: "stage4_2/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage4_2/branch2b" | |
| top: "stage4_2/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_2/branch2b" | |
| top: "stage4_2/branch2b" | |
| } | |
| layer { | |
| name: "stage4_2/branch2c" | |
| type: "Convolution" | |
| bottom: "stage4_2/branch2b" | |
| top: "stage4_2/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_2/branch2c" | |
| top: "stage4_2/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage4_2/branch2c" | |
| top: "stage4_2/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_2/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage4_2/branch2c" | |
| top: "stage4_2/branch2c" | |
| } | |
| layer { | |
| name: "stage4_2/concat" | |
| type: "Concat" | |
| bottom: "stage4_1/concat" | |
| bottom: "stage4_2/branch1b" | |
| bottom: "stage4_2/branch2c" | |
| top: "stage4_2/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch1a" | |
| type: "Convolution" | |
| bottom: "stage4_2/concat" | |
| top: "stage4_3/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_3/branch1a" | |
| top: "stage4_3/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage4_3/branch1a" | |
| top: "stage4_3/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_3/branch1a" | |
| top: "stage4_3/branch1a" | |
| } | |
| layer { | |
| name: "stage4_3/branch1b" | |
| type: "Convolution" | |
| bottom: "stage4_3/branch1a" | |
| top: "stage4_3/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_3/branch1b" | |
| top: "stage4_3/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage4_3/branch1b" | |
| top: "stage4_3/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_3/branch1b" | |
| top: "stage4_3/branch1b" | |
| } | |
| layer { | |
| name: "stage4_3/branch2a" | |
| type: "Convolution" | |
| bottom: "stage4_2/concat" | |
| top: "stage4_3/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_3/branch2a" | |
| top: "stage4_3/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage4_3/branch2a" | |
| top: "stage4_3/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_3/branch2a" | |
| top: "stage4_3/branch2a" | |
| } | |
| layer { | |
| name: "stage4_3/branch2b" | |
| type: "Convolution" | |
| bottom: "stage4_3/branch2a" | |
| top: "stage4_3/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_3/branch2b" | |
| top: "stage4_3/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage4_3/branch2b" | |
| top: "stage4_3/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_3/branch2b" | |
| top: "stage4_3/branch2b" | |
| } | |
| layer { | |
| name: "stage4_3/branch2c" | |
| type: "Convolution" | |
| bottom: "stage4_3/branch2b" | |
| top: "stage4_3/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_3/branch2c" | |
| top: "stage4_3/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage4_3/branch2c" | |
| top: "stage4_3/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_3/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage4_3/branch2c" | |
| top: "stage4_3/branch2c" | |
| } | |
| layer { | |
| name: "stage4_3/concat" | |
| type: "Concat" | |
| bottom: "stage4_2/concat" | |
| bottom: "stage4_3/branch1b" | |
| bottom: "stage4_3/branch2c" | |
| top: "stage4_3/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch1a" | |
| type: "Convolution" | |
| bottom: "stage4_3/concat" | |
| top: "stage4_4/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_4/branch1a" | |
| top: "stage4_4/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage4_4/branch1a" | |
| top: "stage4_4/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_4/branch1a" | |
| top: "stage4_4/branch1a" | |
| } | |
| layer { | |
| name: "stage4_4/branch1b" | |
| type: "Convolution" | |
| bottom: "stage4_4/branch1a" | |
| top: "stage4_4/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_4/branch1b" | |
| top: "stage4_4/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage4_4/branch1b" | |
| top: "stage4_4/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_4/branch1b" | |
| top: "stage4_4/branch1b" | |
| } | |
| layer { | |
| name: "stage4_4/branch2a" | |
| type: "Convolution" | |
| bottom: "stage4_3/concat" | |
| top: "stage4_4/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_4/branch2a" | |
| top: "stage4_4/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage4_4/branch2a" | |
| top: "stage4_4/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_4/branch2a" | |
| top: "stage4_4/branch2a" | |
| } | |
| layer { | |
| name: "stage4_4/branch2b" | |
| type: "Convolution" | |
| bottom: "stage4_4/branch2a" | |
| top: "stage4_4/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_4/branch2b" | |
| top: "stage4_4/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage4_4/branch2b" | |
| top: "stage4_4/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_4/branch2b" | |
| top: "stage4_4/branch2b" | |
| } | |
| layer { | |
| name: "stage4_4/branch2c" | |
| type: "Convolution" | |
| bottom: "stage4_4/branch2b" | |
| top: "stage4_4/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_4/branch2c" | |
| top: "stage4_4/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage4_4/branch2c" | |
| top: "stage4_4/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_4/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage4_4/branch2c" | |
| top: "stage4_4/branch2c" | |
| } | |
| layer { | |
| name: "stage4_4/concat" | |
| type: "Concat" | |
| bottom: "stage4_3/concat" | |
| bottom: "stage4_4/branch1b" | |
| bottom: "stage4_4/branch2c" | |
| top: "stage4_4/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch1a" | |
| type: "Convolution" | |
| bottom: "stage4_4/concat" | |
| top: "stage4_5/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_5/branch1a" | |
| top: "stage4_5/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage4_5/branch1a" | |
| top: "stage4_5/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_5/branch1a" | |
| top: "stage4_5/branch1a" | |
| } | |
| layer { | |
| name: "stage4_5/branch1b" | |
| type: "Convolution" | |
| bottom: "stage4_5/branch1a" | |
| top: "stage4_5/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_5/branch1b" | |
| top: "stage4_5/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage4_5/branch1b" | |
| top: "stage4_5/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_5/branch1b" | |
| top: "stage4_5/branch1b" | |
| } | |
| layer { | |
| name: "stage4_5/branch2a" | |
| type: "Convolution" | |
| bottom: "stage4_4/concat" | |
| top: "stage4_5/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_5/branch2a" | |
| top: "stage4_5/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage4_5/branch2a" | |
| top: "stage4_5/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_5/branch2a" | |
| top: "stage4_5/branch2a" | |
| } | |
| layer { | |
| name: "stage4_5/branch2b" | |
| type: "Convolution" | |
| bottom: "stage4_5/branch2a" | |
| top: "stage4_5/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_5/branch2b" | |
| top: "stage4_5/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage4_5/branch2b" | |
| top: "stage4_5/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_5/branch2b" | |
| top: "stage4_5/branch2b" | |
| } | |
| layer { | |
| name: "stage4_5/branch2c" | |
| type: "Convolution" | |
| bottom: "stage4_5/branch2b" | |
| top: "stage4_5/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_5/branch2c" | |
| top: "stage4_5/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage4_5/branch2c" | |
| top: "stage4_5/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_5/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage4_5/branch2c" | |
| top: "stage4_5/branch2c" | |
| } | |
| layer { | |
| name: "stage4_5/concat" | |
| type: "Concat" | |
| bottom: "stage4_4/concat" | |
| bottom: "stage4_5/branch1b" | |
| bottom: "stage4_5/branch2c" | |
| top: "stage4_5/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch1a" | |
| type: "Convolution" | |
| bottom: "stage4_5/concat" | |
| top: "stage4_6/branch1a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch1a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_6/branch1a" | |
| top: "stage4_6/branch1a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch1a/scale" | |
| type: "Scale" | |
| bottom: "stage4_6/branch1a" | |
| top: "stage4_6/branch1a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch1a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_6/branch1a" | |
| top: "stage4_6/branch1a" | |
| } | |
| layer { | |
| name: "stage4_6/branch1b" | |
| type: "Convolution" | |
| bottom: "stage4_6/branch1a" | |
| top: "stage4_6/branch1b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch1b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_6/branch1b" | |
| top: "stage4_6/branch1b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch1b/scale" | |
| type: "Scale" | |
| bottom: "stage4_6/branch1b" | |
| top: "stage4_6/branch1b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch1b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_6/branch1b" | |
| top: "stage4_6/branch1b" | |
| } | |
| layer { | |
| name: "stage4_6/branch2a" | |
| type: "Convolution" | |
| bottom: "stage4_5/concat" | |
| top: "stage4_6/branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_6/branch2a" | |
| top: "stage4_6/branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2a/scale" | |
| type: "Scale" | |
| bottom: "stage4_6/branch2a" | |
| top: "stage4_6/branch2a" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_6/branch2a" | |
| top: "stage4_6/branch2a" | |
| } | |
| layer { | |
| name: "stage4_6/branch2b" | |
| type: "Convolution" | |
| bottom: "stage4_6/branch2a" | |
| top: "stage4_6/branch2b" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_6/branch2b" | |
| top: "stage4_6/branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2b/scale" | |
| type: "Scale" | |
| bottom: "stage4_6/branch2b" | |
| top: "stage4_6/branch2b" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_6/branch2b" | |
| top: "stage4_6/branch2b" | |
| } | |
| layer { | |
| name: "stage4_6/branch2c" | |
| type: "Convolution" | |
| bottom: "stage4_6/branch2b" | |
| top: "stage4_6/branch2c" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_6/branch2c" | |
| top: "stage4_6/branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2c/scale" | |
| type: "Scale" | |
| bottom: "stage4_6/branch2c" | |
| top: "stage4_6/branch2c" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_6/branch2c/relu" | |
| type: "ReLU" | |
| bottom: "stage4_6/branch2c" | |
| top: "stage4_6/branch2c" | |
| } | |
| layer { | |
| name: "stage4_6/concat" | |
| type: "Concat" | |
| bottom: "stage4_5/concat" | |
| bottom: "stage4_6/branch1b" | |
| bottom: "stage4_6/branch2c" | |
| top: "stage4_6/concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "stage4_tb" | |
| type: "Convolution" | |
| bottom: "stage4_6/concat" | |
| top: "stage4_tb" | |
| convolution_param { | |
| num_output: 704 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_tb/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_tb" | |
| top: "stage4_tb" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_tb/scale" | |
| type: "Scale" | |
| bottom: "stage4_tb" | |
| top: "stage4_tb" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_tb/relu" | |
| type: "ReLU" | |
| bottom: "stage4_tb" | |
| top: "stage4_tb" | |
| } | |
| layer { | |
| name: "stage4_res1" | |
| type: "Convolution" | |
| bottom: "stage4_tb" | |
| top: "stage4_res1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res1/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_res1" | |
| top: "stage4_res1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_res1/scale" | |
| type: "Scale" | |
| bottom: "stage4_res1" | |
| top: "stage4_res1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2a" | |
| type: "Convolution" | |
| bottom: "stage4_tb" | |
| top: "stage4_res2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2a/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_res2a" | |
| top: "stage4_res2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2a/scale" | |
| type: "Scale" | |
| bottom: "stage4_res2a" | |
| top: "stage4_res2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2a/relu" | |
| type: "ReLU" | |
| bottom: "stage4_res2a" | |
| top: "stage4_res2a" | |
| } | |
| layer { | |
| name: "stage4_res2b" | |
| type: "Convolution" | |
| bottom: "stage4_res2a" | |
| top: "stage4_res2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2b/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_res2b" | |
| top: "stage4_res2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2b/scale" | |
| type: "Scale" | |
| bottom: "stage4_res2b" | |
| top: "stage4_res2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2b/relu" | |
| type: "ReLU" | |
| bottom: "stage4_res2b" | |
| top: "stage4_res2b" | |
| } | |
| layer { | |
| name: "stage4_res2c" | |
| type: "Convolution" | |
| bottom: "stage4_res2b" | |
| top: "stage4_res2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2c/bn" | |
| type: "BatchNorm" | |
| bottom: "stage4_res2c" | |
| top: "stage4_res2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| moving_average_fraction: 0.999 | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "stage4_res2c/scale" | |
| type: "Scale" | |
| bottom: "stage4_res2c" | |
| top: "stage4_res2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "stage4_res" | |
| type: "Eltwise" | |
| bottom: "stage4_res1" | |
| bottom: "stage4_res2c" | |
| top: "stage4_res" | |
| } | |
| layer { | |
| name: "stage4_res/relu" | |
| type: "ReLU" | |
| bottom: "stage4_res" | |
| top: "stage4_res" | |
| } | |
| layer { | |
| name: "conv_indoor1" | |
| type: "Convolution" | |
| bottom: "stage4_res" | |
| top: "conv_indoor1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 125 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
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