| layer { |
| name: "data" |
| type: "Input" |
| top: "data" |
| input_param { |
| shape { |
| dim: 1 |
| dim: 1 |
| dim: 384 |
| dim: 384 |
| } |
| } |
| } |
| layer { |
| name: "data/bn" |
| type: "BatchNorm" |
| bottom: "data" |
| top: "data" |
| param { |
| lr_mult: 0.0 |
| decay_mult: 0.0 |
| } |
| param { |
| lr_mult: 0.0 |
| decay_mult: 0.0 |
| } |
| param { |
| lr_mult: 0.0 |
| decay_mult: 0.0 |
| } |
| } |
| layer { |
| name: "data/bn/scale" |
| type: "Scale" |
| bottom: "data" |
| top: "data" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| scale_param { |
| filler { |
| type: "constant" |
| value: 1.0 |
| } |
| bias_term: true |
| bias_filler { |
| type: "constant" |
| value: 0.0 |
| } |
| } |
| } |
| layer { |
| name: "stage1" |
| type: "Convolution" |
| bottom: "data" |
| top: "stage1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 24 |
| bias_term: true |
| pad: 1 |
| kernel_size: 3 |
| group: 1 |
| stride: 2 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage1/bn" |
| type: "BatchNorm" |
| bottom: "stage1" |
| top: "stage1" |
| param { |
| lr_mult: 0.0 |
| decay_mult: 0.0 |
| } |
| param { |
| lr_mult: 0.0 |
| decay_mult: 0.0 |
| } |
| param { |
| lr_mult: 0.0 |
| decay_mult: 0.0 |
| } |
| } |
| layer { |
| name: "stage1/bn/scale" |
| type: "Scale" |
| bottom: "stage1" |
| top: "stage1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| scale_param { |
| filler { |
| type: "constant" |
| value: 1.0 |
| } |
| bias_term: true |
| bias_filler { |
| type: "constant" |
| value: 0.0 |
| } |
| } |
| } |
| layer { |
| name: "stage1/relu" |
| type: "ReLU" |
| bottom: "stage1" |
| top: "stage1" |
| } |
| layer { |
| name: "stage2" |
| type: "Pooling" |
| bottom: "stage1" |
| top: "stage2" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 2 |
| pad: 0 |
| } |
| } |
| layer { |
| name: "stage3_1/conv1" |
| type: "Convolution" |
| bottom: "stage2" |
| top: "stage3_1/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_1/conv1/relu" |
| type: "ReLU" |
| bottom: "stage3_1/conv1" |
| top: "stage3_1/conv1" |
| } |
| layer { |
| name: "stage3_1/conv2" |
| type: "Convolution" |
| bottom: "stage3_1/conv1" |
| top: "stage3_1/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 1 |
| kernel_size: 3 |
| group: 16 |
| stride: 2 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_1/conv3" |
| type: "Convolution" |
| bottom: "stage3_1/conv2" |
| top: "stage3_1/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_1/relu" |
| type: "ReLU" |
| bottom: "stage3_1/conv3" |
| top: "stage3_1/conv3" |
| } |
| layer { |
| name: "stage3_2/conv1" |
| type: "Convolution" |
| bottom: "stage3_1/conv3" |
| top: "stage3_2/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_2/conv1/relu" |
| type: "ReLU" |
| bottom: "stage3_2/conv1" |
| top: "stage3_2/conv1" |
| } |
| layer { |
| name: "stage3_2/conv2" |
| type: "Convolution" |
| bottom: "stage3_2/conv1" |
| top: "stage3_2/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 1 |
| kernel_size: 3 |
| group: 16 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_2/conv3" |
| type: "Convolution" |
| bottom: "stage3_2/conv2" |
| top: "stage3_2/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_2/sum" |
| type: "Eltwise" |
| bottom: "stage3_1/conv3" |
| bottom: "stage3_2/conv3" |
| top: "stage3_2/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage3_2/relu" |
| type: "ReLU" |
| bottom: "stage3_2/sum" |
| top: "stage3_2/sum" |
| } |
| layer { |
| name: "stage3_3/conv1" |
| type: "Convolution" |
| bottom: "stage3_2/sum" |
| top: "stage3_3/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_3/conv1/relu" |
| type: "ReLU" |
| bottom: "stage3_3/conv1" |
| top: "stage3_3/conv1" |
| } |
| layer { |
| name: "stage3_3/conv2" |
| type: "Convolution" |
| bottom: "stage3_3/conv1" |
| top: "stage3_3/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 1 |
| kernel_size: 3 |
| group: 16 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_3/conv3" |
| type: "Convolution" |
| bottom: "stage3_3/conv2" |
| top: "stage3_3/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_3/sum" |
| type: "Eltwise" |
| bottom: "stage3_2/sum" |
| bottom: "stage3_3/conv3" |
| top: "stage3_3/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage3_3/relu" |
| type: "ReLU" |
| bottom: "stage3_3/sum" |
| top: "stage3_3/sum" |
| } |
| layer { |
| name: "stage3_4/conv1" |
| type: "Convolution" |
| bottom: "stage3_3/sum" |
| top: "stage3_4/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_4/conv1/relu" |
| type: "ReLU" |
| bottom: "stage3_4/conv1" |
| top: "stage3_4/conv1" |
| } |
| layer { |
| name: "stage3_4/conv2" |
| type: "Convolution" |
| bottom: "stage3_4/conv1" |
| top: "stage3_4/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 16 |
| pad: 1 |
| kernel_size: 3 |
| group: 16 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_4/conv3" |
| type: "Convolution" |
| bottom: "stage3_4/conv2" |
| top: "stage3_4/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage3_4/sum" |
| type: "Eltwise" |
| bottom: "stage3_3/sum" |
| bottom: "stage3_4/conv3" |
| top: "stage3_4/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage3_4/relu" |
| type: "ReLU" |
| bottom: "stage3_4/sum" |
| top: "stage3_4/sum" |
| } |
| layer { |
| name: "stage4_1/conv1" |
| type: "Convolution" |
| bottom: "stage3_4/sum" |
| top: "stage4_1/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_1/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_1/conv1" |
| top: "stage4_1/conv1" |
| } |
| layer { |
| name: "stage4_1/conv2" |
| type: "Convolution" |
| bottom: "stage4_1/conv1" |
| top: "stage4_1/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 2 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_1/conv3" |
| type: "Convolution" |
| bottom: "stage4_1/conv2" |
| top: "stage4_1/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_1/relu" |
| type: "ReLU" |
| bottom: "stage4_1/conv3" |
| top: "stage4_1/conv3" |
| } |
| layer { |
| name: "stage4_2/conv1" |
| type: "Convolution" |
| bottom: "stage4_1/conv3" |
| top: "stage4_2/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_2/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_2/conv1" |
| top: "stage4_2/conv1" |
| } |
| layer { |
| name: "stage4_2/conv2" |
| type: "Convolution" |
| bottom: "stage4_2/conv1" |
| top: "stage4_2/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_2/conv3" |
| type: "Convolution" |
| bottom: "stage4_2/conv2" |
| top: "stage4_2/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_2/sum" |
| type: "Eltwise" |
| bottom: "stage4_1/conv3" |
| bottom: "stage4_2/conv3" |
| top: "stage4_2/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage4_2/relu" |
| type: "ReLU" |
| bottom: "stage4_2/sum" |
| top: "stage4_2/sum" |
| } |
| layer { |
| name: "stage4_3/conv1" |
| type: "Convolution" |
| bottom: "stage4_2/sum" |
| top: "stage4_3/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_3/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_3/conv1" |
| top: "stage4_3/conv1" |
| } |
| layer { |
| name: "stage4_3/conv2" |
| type: "Convolution" |
| bottom: "stage4_3/conv1" |
| top: "stage4_3/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_3/conv3" |
| type: "Convolution" |
| bottom: "stage4_3/conv2" |
| top: "stage4_3/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_3/sum" |
| type: "Eltwise" |
| bottom: "stage4_2/sum" |
| bottom: "stage4_3/conv3" |
| top: "stage4_3/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage4_3/relu" |
| type: "ReLU" |
| bottom: "stage4_3/sum" |
| top: "stage4_3/sum" |
| } |
| layer { |
| name: "stage4_4/conv1" |
| type: "Convolution" |
| bottom: "stage4_3/sum" |
| top: "stage4_4/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_4/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_4/conv1" |
| top: "stage4_4/conv1" |
| } |
| layer { |
| name: "stage4_4/conv2" |
| type: "Convolution" |
| bottom: "stage4_4/conv1" |
| top: "stage4_4/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_4/conv3" |
| type: "Convolution" |
| bottom: "stage4_4/conv2" |
| top: "stage4_4/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_4/sum" |
| type: "Eltwise" |
| bottom: "stage4_3/sum" |
| bottom: "stage4_4/conv3" |
| top: "stage4_4/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage4_4/relu" |
| type: "ReLU" |
| bottom: "stage4_4/sum" |
| top: "stage4_4/sum" |
| } |
| layer { |
| name: "stage4_5/conv1" |
| type: "Convolution" |
| bottom: "stage4_4/sum" |
| top: "stage4_5/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_5/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_5/conv1" |
| top: "stage4_5/conv1" |
| } |
| layer { |
| name: "stage4_5/conv2" |
| type: "Convolution" |
| bottom: "stage4_5/conv1" |
| top: "stage4_5/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_5/conv3" |
| type: "Convolution" |
| bottom: "stage4_5/conv2" |
| top: "stage4_5/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_5/sum" |
| type: "Eltwise" |
| bottom: "stage4_4/sum" |
| bottom: "stage4_5/conv3" |
| top: "stage4_5/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage4_5/relu" |
| type: "ReLU" |
| bottom: "stage4_5/sum" |
| top: "stage4_5/sum" |
| } |
| layer { |
| name: "stage4_6/conv1" |
| type: "Convolution" |
| bottom: "stage4_5/sum" |
| top: "stage4_6/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_6/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_6/conv1" |
| top: "stage4_6/conv1" |
| } |
| layer { |
| name: "stage4_6/conv2" |
| type: "Convolution" |
| bottom: "stage4_6/conv1" |
| top: "stage4_6/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_6/conv3" |
| type: "Convolution" |
| bottom: "stage4_6/conv2" |
| top: "stage4_6/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_6/sum" |
| type: "Eltwise" |
| bottom: "stage4_5/sum" |
| bottom: "stage4_6/conv3" |
| top: "stage4_6/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage4_6/relu" |
| type: "ReLU" |
| bottom: "stage4_6/sum" |
| top: "stage4_6/sum" |
| } |
| layer { |
| name: "stage4_7/conv1" |
| type: "Convolution" |
| bottom: "stage4_6/sum" |
| top: "stage4_7/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_7/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_7/conv1" |
| top: "stage4_7/conv1" |
| } |
| layer { |
| name: "stage4_7/conv2" |
| type: "Convolution" |
| bottom: "stage4_7/conv1" |
| top: "stage4_7/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_7/conv3" |
| type: "Convolution" |
| bottom: "stage4_7/conv2" |
| top: "stage4_7/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_7/sum" |
| type: "Eltwise" |
| bottom: "stage4_6/sum" |
| bottom: "stage4_7/conv3" |
| top: "stage4_7/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage4_7/relu" |
| type: "ReLU" |
| bottom: "stage4_7/sum" |
| top: "stage4_7/sum" |
| } |
| layer { |
| name: "stage4_8/conv1" |
| type: "Convolution" |
| bottom: "stage4_7/sum" |
| top: "stage4_8/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_8/conv1/relu" |
| type: "ReLU" |
| bottom: "stage4_8/conv1" |
| top: "stage4_8/conv1" |
| } |
| layer { |
| name: "stage4_8/conv2" |
| type: "Convolution" |
| bottom: "stage4_8/conv1" |
| top: "stage4_8/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 1 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_8/conv3" |
| type: "Convolution" |
| bottom: "stage4_8/conv2" |
| top: "stage4_8/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage4_8/sum" |
| type: "Eltwise" |
| bottom: "stage4_7/sum" |
| bottom: "stage4_8/conv3" |
| top: "stage4_8/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage4_8/relu" |
| type: "ReLU" |
| bottom: "stage4_8/sum" |
| top: "stage4_8/sum" |
| } |
| layer { |
| name: "stage5_1/conv1" |
| type: "Convolution" |
| bottom: "stage4_8/sum" |
| top: "stage5_1/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_1/conv1/relu" |
| type: "ReLU" |
| bottom: "stage5_1/conv1" |
| top: "stage5_1/conv1" |
| } |
| layer { |
| name: "stage5_1/conv2" |
| type: "Convolution" |
| bottom: "stage5_1/conv1" |
| top: "stage5_1/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 2 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage5_1/conv3" |
| type: "Convolution" |
| bottom: "stage5_1/conv2" |
| top: "stage5_1/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_1/relu" |
| type: "ReLU" |
| bottom: "stage5_1/conv3" |
| top: "stage5_1/conv3" |
| } |
| layer { |
| name: "stage5_2/conv1" |
| type: "Convolution" |
| bottom: "stage5_1/conv3" |
| top: "stage5_2/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_2/conv1/relu" |
| type: "ReLU" |
| bottom: "stage5_2/conv1" |
| top: "stage5_2/conv1" |
| } |
| layer { |
| name: "stage5_2/conv2" |
| type: "Convolution" |
| bottom: "stage5_2/conv1" |
| top: "stage5_2/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage5_2/conv3" |
| type: "Convolution" |
| bottom: "stage5_2/conv2" |
| top: "stage5_2/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_2/sum" |
| type: "Eltwise" |
| bottom: "stage5_1/conv3" |
| bottom: "stage5_2/conv3" |
| top: "stage5_2/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage5_2/relu" |
| type: "ReLU" |
| bottom: "stage5_2/sum" |
| top: "stage5_2/sum" |
| } |
| layer { |
| name: "stage5_3/conv1" |
| type: "Convolution" |
| bottom: "stage5_2/sum" |
| top: "stage5_3/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_3/conv1/relu" |
| type: "ReLU" |
| bottom: "stage5_3/conv1" |
| top: "stage5_3/conv1" |
| } |
| layer { |
| name: "stage5_3/conv2" |
| type: "Convolution" |
| bottom: "stage5_3/conv1" |
| top: "stage5_3/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage5_3/conv3" |
| type: "Convolution" |
| bottom: "stage5_3/conv2" |
| top: "stage5_3/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_3/sum" |
| type: "Eltwise" |
| bottom: "stage5_2/sum" |
| bottom: "stage5_3/conv3" |
| top: "stage5_3/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage5_3/relu" |
| type: "ReLU" |
| bottom: "stage5_3/sum" |
| top: "stage5_3/sum" |
| } |
| layer { |
| name: "stage5_4/conv1" |
| type: "Convolution" |
| bottom: "stage5_3/sum" |
| top: "stage5_4/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_4/conv1/relu" |
| type: "ReLU" |
| bottom: "stage5_4/conv1" |
| top: "stage5_4/conv1" |
| } |
| layer { |
| name: "stage5_4/conv2" |
| type: "Convolution" |
| bottom: "stage5_4/conv1" |
| top: "stage5_4/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage5_4/conv3" |
| type: "Convolution" |
| bottom: "stage5_4/conv2" |
| top: "stage5_4/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage5_4/sum" |
| type: "Eltwise" |
| bottom: "stage5_3/sum" |
| bottom: "stage5_4/conv3" |
| top: "stage5_4/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage5_4/relu" |
| type: "ReLU" |
| bottom: "stage5_4/sum" |
| top: "stage5_4/sum" |
| } |
| layer { |
| name: "stage6_1/conv4" |
| type: "Convolution" |
| bottom: "stage5_4/sum" |
| top: "stage6_1/conv4" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage6_1/conv1" |
| type: "Convolution" |
| bottom: "stage5_4/sum" |
| top: "stage6_1/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage6_1/conv1/relu" |
| type: "ReLU" |
| bottom: "stage6_1/conv1" |
| top: "stage6_1/conv1" |
| } |
| layer { |
| name: "stage6_1/conv2" |
| type: "Convolution" |
| bottom: "stage6_1/conv1" |
| top: "stage6_1/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage6_1/conv3" |
| type: "Convolution" |
| bottom: "stage6_1/conv2" |
| top: "stage6_1/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage6_1/sum" |
| type: "Eltwise" |
| bottom: "stage6_1/conv4" |
| bottom: "stage6_1/conv3" |
| top: "stage6_1/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage6_1/relu" |
| type: "ReLU" |
| bottom: "stage6_1/sum" |
| top: "stage6_1/sum" |
| } |
| layer { |
| name: "stage6_2/conv1" |
| type: "Convolution" |
| bottom: "stage6_1/sum" |
| top: "stage6_2/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage6_2/conv1/relu" |
| type: "ReLU" |
| bottom: "stage6_2/conv1" |
| top: "stage6_2/conv1" |
| } |
| layer { |
| name: "stage6_2/conv2" |
| type: "Convolution" |
| bottom: "stage6_2/conv1" |
| top: "stage6_2/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage6_2/conv3" |
| type: "Convolution" |
| bottom: "stage6_2/conv2" |
| top: "stage6_2/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage6_2/sum" |
| type: "Eltwise" |
| bottom: "stage6_1/sum" |
| bottom: "stage6_2/conv3" |
| top: "stage6_2/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage6_2/relu" |
| type: "ReLU" |
| bottom: "stage6_2/sum" |
| top: "stage6_2/sum" |
| } |
| layer { |
| name: "stage7_1/conv4" |
| type: "Convolution" |
| bottom: "stage6_2/sum" |
| top: "stage7_1/conv4" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage7_1/conv1" |
| type: "Convolution" |
| bottom: "stage6_2/sum" |
| top: "stage7_1/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage7_1/conv1/relu" |
| type: "ReLU" |
| bottom: "stage7_1/conv1" |
| top: "stage7_1/conv1" |
| } |
| layer { |
| name: "stage7_1/conv2" |
| type: "Convolution" |
| bottom: "stage7_1/conv1" |
| top: "stage7_1/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage7_1/conv3" |
| type: "Convolution" |
| bottom: "stage7_1/conv2" |
| top: "stage7_1/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage7_1/sum" |
| type: "Eltwise" |
| bottom: "stage7_1/conv4" |
| bottom: "stage7_1/conv3" |
| top: "stage7_1/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage7_1/relu" |
| type: "ReLU" |
| bottom: "stage7_1/sum" |
| top: "stage7_1/sum" |
| } |
| layer { |
| name: "stage7_2/conv1" |
| type: "Convolution" |
| bottom: "stage7_1/sum" |
| top: "stage7_2/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage7_2/conv1/relu" |
| type: "ReLU" |
| bottom: "stage7_2/conv1" |
| top: "stage7_2/conv1" |
| } |
| layer { |
| name: "stage7_2/conv2" |
| type: "Convolution" |
| bottom: "stage7_2/conv1" |
| top: "stage7_2/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage7_2/conv3" |
| type: "Convolution" |
| bottom: "stage7_2/conv2" |
| top: "stage7_2/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage7_2/sum" |
| type: "Eltwise" |
| bottom: "stage7_1/sum" |
| bottom: "stage7_2/conv3" |
| top: "stage7_2/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage7_2/relu" |
| type: "ReLU" |
| bottom: "stage7_2/sum" |
| top: "stage7_2/sum" |
| } |
| layer { |
| name: "stage8_1/conv4" |
| type: "Convolution" |
| bottom: "stage7_2/sum" |
| top: "stage8_1/conv4" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage8_1/conv1" |
| type: "Convolution" |
| bottom: "stage7_2/sum" |
| top: "stage8_1/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage8_1/conv1/relu" |
| type: "ReLU" |
| bottom: "stage8_1/conv1" |
| top: "stage8_1/conv1" |
| } |
| layer { |
| name: "stage8_1/conv2" |
| type: "Convolution" |
| bottom: "stage8_1/conv1" |
| top: "stage8_1/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage8_1/conv3" |
| type: "Convolution" |
| bottom: "stage8_1/conv2" |
| top: "stage8_1/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage8_1/sum" |
| type: "Eltwise" |
| bottom: "stage8_1/conv4" |
| bottom: "stage8_1/conv3" |
| top: "stage8_1/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage8_1/relu" |
| type: "ReLU" |
| bottom: "stage8_1/sum" |
| top: "stage8_1/sum" |
| } |
| layer { |
| name: "stage8_2/conv1" |
| type: "Convolution" |
| bottom: "stage8_1/sum" |
| top: "stage8_2/conv1" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage8_2/conv1/relu" |
| type: "ReLU" |
| bottom: "stage8_2/conv1" |
| top: "stage8_2/conv1" |
| } |
| layer { |
| name: "stage8_2/conv2" |
| type: "Convolution" |
| bottom: "stage8_2/conv1" |
| top: "stage8_2/conv2" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 3 |
| group: 32 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 2 |
| } |
| } |
| layer { |
| name: "stage8_2/conv3" |
| type: "Convolution" |
| bottom: "stage8_2/conv2" |
| top: "stage8_2/conv3" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "stage8_2/sum" |
| type: "Eltwise" |
| bottom: "stage8_1/sum" |
| bottom: "stage8_2/conv3" |
| top: "stage8_2/sum" |
| eltwise_param { |
| operation: SUM |
| } |
| } |
| layer { |
| name: "stage8_2/relu" |
| type: "ReLU" |
| bottom: "stage8_2/sum" |
| top: "stage8_2/sum" |
| } |
| layer { |
| name: "cls1/conv" |
| type: "Convolution" |
| bottom: "stage4_8/sum" |
| top: "cls1/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 12 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "cls1/permute" |
| type: "Permute" |
| bottom: "cls1/conv" |
| top: "cls1/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "cls1/flatten" |
| type: "Flatten" |
| bottom: "cls1/permute" |
| top: "cls1/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "loc1/conv" |
| type: "Convolution" |
| bottom: "stage4_8/sum" |
| top: "loc1/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 24 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "loc1/permute" |
| type: "Permute" |
| bottom: "loc1/conv" |
| top: "loc1/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "loc1/flatten" |
| type: "Flatten" |
| bottom: "loc1/permute" |
| top: "loc1/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "stage4_8/sum/prior_box" |
| type: "PriorBox" |
| bottom: "stage4_8/sum" |
| bottom: "data" |
| top: "stage4_8/sum/prior_box" |
| prior_box_param { |
| min_size: 50.0 |
| max_size: 100.0 |
| aspect_ratio: 2.0 |
| aspect_ratio: 0.5 |
| aspect_ratio: 3.0 |
| aspect_ratio: 0.3333333432674408 |
| flip: false |
| clip: false |
| variance: 0.10000000149011612 |
| variance: 0.10000000149011612 |
| variance: 0.20000000298023224 |
| variance: 0.20000000298023224 |
| step: 16.0 |
| } |
| } |
| layer { |
| name: "cls2/conv" |
| type: "Convolution" |
| bottom: "stage5_4/sum" |
| top: "cls2/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 12 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "cls2/permute" |
| type: "Permute" |
| bottom: "cls2/conv" |
| top: "cls2/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "cls2/flatten" |
| type: "Flatten" |
| bottom: "cls2/permute" |
| top: "cls2/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "loc2/conv" |
| type: "Convolution" |
| bottom: "stage5_4/sum" |
| top: "loc2/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 24 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "loc2/permute" |
| type: "Permute" |
| bottom: "loc2/conv" |
| top: "loc2/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "loc2/flatten" |
| type: "Flatten" |
| bottom: "loc2/permute" |
| top: "loc2/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "stage5_4/sum/prior_box" |
| type: "PriorBox" |
| bottom: "stage5_4/sum" |
| bottom: "data" |
| top: "stage5_4/sum/prior_box" |
| prior_box_param { |
| min_size: 100.0 |
| max_size: 150.0 |
| aspect_ratio: 2.0 |
| aspect_ratio: 0.5 |
| aspect_ratio: 3.0 |
| aspect_ratio: 0.3333333432674408 |
| flip: false |
| clip: false |
| variance: 0.10000000149011612 |
| variance: 0.10000000149011612 |
| variance: 0.20000000298023224 |
| variance: 0.20000000298023224 |
| step: 32.0 |
| } |
| } |
| layer { |
| name: "cls3/conv" |
| type: "Convolution" |
| bottom: "stage6_2/sum" |
| top: "cls3/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 12 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "cls3/permute" |
| type: "Permute" |
| bottom: "cls3/conv" |
| top: "cls3/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "cls3/flatten" |
| type: "Flatten" |
| bottom: "cls3/permute" |
| top: "cls3/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "loc3/conv" |
| type: "Convolution" |
| bottom: "stage6_2/sum" |
| top: "loc3/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 24 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "loc3/permute" |
| type: "Permute" |
| bottom: "loc3/conv" |
| top: "loc3/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "loc3/flatten" |
| type: "Flatten" |
| bottom: "loc3/permute" |
| top: "loc3/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "stage6_2/sum/prior_box" |
| type: "PriorBox" |
| bottom: "stage6_2/sum" |
| bottom: "data" |
| top: "stage6_2/sum/prior_box" |
| prior_box_param { |
| min_size: 150.0 |
| max_size: 200.0 |
| aspect_ratio: 2.0 |
| aspect_ratio: 0.5 |
| aspect_ratio: 3.0 |
| aspect_ratio: 0.3333333432674408 |
| flip: false |
| clip: false |
| variance: 0.10000000149011612 |
| variance: 0.10000000149011612 |
| variance: 0.20000000298023224 |
| variance: 0.20000000298023224 |
| step: 32.0 |
| } |
| } |
| layer { |
| name: "cls4/conv" |
| type: "Convolution" |
| bottom: "stage7_2/sum" |
| top: "cls4/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 12 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "cls4/permute" |
| type: "Permute" |
| bottom: "cls4/conv" |
| top: "cls4/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "cls4/flatten" |
| type: "Flatten" |
| bottom: "cls4/permute" |
| top: "cls4/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "loc4/conv" |
| type: "Convolution" |
| bottom: "stage7_2/sum" |
| top: "loc4/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 24 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "loc4/permute" |
| type: "Permute" |
| bottom: "loc4/conv" |
| top: "loc4/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "loc4/flatten" |
| type: "Flatten" |
| bottom: "loc4/permute" |
| top: "loc4/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "stage7_2/sum/prior_box" |
| type: "PriorBox" |
| bottom: "stage7_2/sum" |
| bottom: "data" |
| top: "stage7_2/sum/prior_box" |
| prior_box_param { |
| min_size: 200.0 |
| max_size: 300.0 |
| aspect_ratio: 2.0 |
| aspect_ratio: 0.5 |
| aspect_ratio: 3.0 |
| aspect_ratio: 0.3333333432674408 |
| flip: false |
| clip: false |
| variance: 0.10000000149011612 |
| variance: 0.10000000149011612 |
| variance: 0.20000000298023224 |
| variance: 0.20000000298023224 |
| step: 32.0 |
| } |
| } |
| layer { |
| name: "cls5/conv" |
| type: "Convolution" |
| bottom: "stage8_2/sum" |
| top: "cls5/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 12 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "cls5/permute" |
| type: "Permute" |
| bottom: "cls5/conv" |
| top: "cls5/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "cls5/flatten" |
| type: "Flatten" |
| bottom: "cls5/permute" |
| top: "cls5/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "loc5/conv" |
| type: "Convolution" |
| bottom: "stage8_2/sum" |
| top: "loc5/conv" |
| param { |
| lr_mult: 1.0 |
| decay_mult: 1.0 |
| } |
| param { |
| lr_mult: 1.0 |
| decay_mult: 0.0 |
| } |
| convolution_param { |
| num_output: 24 |
| bias_term: true |
| pad: 0 |
| kernel_size: 1 |
| group: 1 |
| stride: 1 |
| weight_filler { |
| type: "msra" |
| } |
| dilation: 1 |
| } |
| } |
| layer { |
| name: "loc5/permute" |
| type: "Permute" |
| bottom: "loc5/conv" |
| top: "loc5/permute" |
| permute_param { |
| order: 0 |
| order: 2 |
| order: 3 |
| order: 1 |
| } |
| } |
| layer { |
| name: "loc5/flatten" |
| type: "Flatten" |
| bottom: "loc5/permute" |
| top: "loc5/flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "stage8_2/sum/prior_box" |
| type: "PriorBox" |
| bottom: "stage8_2/sum" |
| bottom: "data" |
| top: "stage8_2/sum/prior_box" |
| prior_box_param { |
| min_size: 300.0 |
| max_size: 400.0 |
| aspect_ratio: 2.0 |
| aspect_ratio: 0.5 |
| aspect_ratio: 3.0 |
| aspect_ratio: 0.3333333432674408 |
| flip: false |
| clip: false |
| variance: 0.10000000149011612 |
| variance: 0.10000000149011612 |
| variance: 0.20000000298023224 |
| variance: 0.20000000298023224 |
| step: 32.0 |
| } |
| } |
| layer { |
| name: "mbox_conf" |
| type: "Concat" |
| bottom: "cls1/flatten" |
| bottom: "cls2/flatten" |
| bottom: "cls3/flatten" |
| bottom: "cls4/flatten" |
| bottom: "cls5/flatten" |
| top: "mbox_conf" |
| concat_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "mbox_loc" |
| type: "Concat" |
| bottom: "loc1/flatten" |
| bottom: "loc2/flatten" |
| bottom: "loc3/flatten" |
| bottom: "loc4/flatten" |
| bottom: "loc5/flatten" |
| top: "mbox_loc" |
| concat_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "mbox_priorbox" |
| type: "Concat" |
| bottom: "stage4_8/sum/prior_box" |
| bottom: "stage5_4/sum/prior_box" |
| bottom: "stage6_2/sum/prior_box" |
| bottom: "stage7_2/sum/prior_box" |
| bottom: "stage8_2/sum/prior_box" |
| top: "mbox_priorbox" |
| concat_param { |
| axis: 2 |
| } |
| } |
| layer { |
| name: "mbox_conf_reshape" |
| type: "Reshape" |
| bottom: "mbox_conf" |
| top: "mbox_conf_reshape" |
| reshape_param { |
| shape { |
| dim: 0 |
| dim: -1 |
| dim: 2 |
| } |
| } |
| } |
| layer { |
| name: "mbox_conf_softmax" |
| type: "Softmax" |
| bottom: "mbox_conf_reshape" |
| top: "mbox_conf_softmax" |
| softmax_param { |
| axis: 2 |
| } |
| } |
| layer { |
| name: "mbox_conf_flatten" |
| type: "Flatten" |
| bottom: "mbox_conf_softmax" |
| top: "mbox_conf_flatten" |
| flatten_param { |
| axis: 1 |
| } |
| } |
| layer { |
| name: "detection_output" |
| type: "DetectionOutput" |
| bottom: "mbox_loc" |
| bottom: "mbox_conf_flatten" |
| bottom: "mbox_priorbox" |
| top: "detection_output" |
| detection_output_param { |
| num_classes: 2 |
| share_location: true |
| background_label_id: 0 |
| nms_param { |
| nms_threshold: 0.44999998807907104 |
| top_k: 100 |
| } |
| code_type: CENTER_SIZE |
| keep_top_k: 100 |
| confidence_threshold: 0.20000000298023224 |
| } |
| } |
|
|
