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| name: "ResNetPlane2" | |
| ############ Data Layer ########### | |
| layer { | |
| name: "data" | |
| type: "ROOTData" | |
| top: "data" | |
| top: "label" | |
| root_data_param { | |
| batch_size: 18 | |
| filler_config: "train_filler_singlep.cfg" | |
| filler_name: "Train" | |
| } | |
| } | |
| layer { | |
| name: "data_trimese" | |
| type: "Slice" | |
| bottom: "data" | |
| top: "plane0_data" | |
| top: "plane1_data" | |
| top: "plane2_data" | |
| slice_param { | |
| slice_point: 1 | |
| slice_point: 2 | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "silence_plane0" | |
| type: "Silence" | |
| bottom: "plane0_data" | |
| } | |
| layer { | |
| name: "silence_plane1" | |
| type: "Silence" | |
| bottom: "plane1_data" | |
| } | |
| #layer { | |
| # name: "silence_plane2" | |
| # type: "Silence" | |
| # bottom: "plane2_data" | |
| #} | |
| ############ Actual Net ########### | |
| layer { | |
| bottom: "plane2_data" | |
| top: "plane2_conv1" | |
| name: "plane2_conv1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 7 | |
| pad: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_conv1" | |
| top: "plane2_conv1" | |
| name: "plane2_bn_conv1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_conv1" | |
| top: "plane2_conv1" | |
| name: "plane2_scale_conv1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_conv1" | |
| top: "plane2_conv1" | |
| name: "plane2_conv1_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_conv1" | |
| top: "plane2_pool1" | |
| name: "plane2_pool1" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_pool1" | |
| top: "plane2_res2a_branch1" | |
| name: "plane2_res2a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch1" | |
| top: "plane2_res2a_branch1" | |
| name: "plane2_bn2a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch1" | |
| top: "plane2_res2a_branch1" | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_pool1" | |
| top: "plane2_res2a_branch2a" | |
| name: "plane2_res2a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch2a" | |
| top: "plane2_res2a_branch2a" | |
| name: "plane2_bn2a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch2a" | |
| top: "plane2_res2a_branch2a" | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch2a" | |
| top: "plane2_res2a_branch2a" | |
| name: "plane2_res2a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch2a" | |
| top: "plane2_res2a_branch2b" | |
| name: "plane2_res2a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch2b" | |
| top: "plane2_res2a_branch2b" | |
| name: "plane2_bn2a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch2b" | |
| top: "plane2_res2a_branch2b" | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a_branch1" | |
| bottom: "plane2_res2a_branch2b" | |
| top: "plane2_res2a" | |
| name: "plane2_res2a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res2a" | |
| top: "plane2_res2a" | |
| name: "plane2_res2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res2a" | |
| top: "plane2_res2b_branch2a" | |
| name: "plane2_res2b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2b_branch2a" | |
| top: "plane2_res2b_branch2a" | |
| name: "plane2_bn2b_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2b_branch2a" | |
| top: "plane2_res2b_branch2a" | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2b_branch2a" | |
| top: "plane2_res2b_branch2a" | |
| name: "plane2_res2b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res2b_branch2a" | |
| top: "plane2_res2b_branch2b" | |
| name: "plane2_res2b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2b_branch2b" | |
| top: "plane2_res2b_branch2b" | |
| name: "plane2_bn2b_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2b_branch2b" | |
| top: "plane2_res2b_branch2b" | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2a" | |
| bottom: "plane2_res2b_branch2b" | |
| top: "plane2_res2b" | |
| name: "plane2_res2b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res2b" | |
| top: "plane2_res2b" | |
| name: "plane2_res2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res2b" | |
| top: "plane2_res3a_branch1" | |
| name: "plane2_res3a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch1" | |
| top: "plane2_res3a_branch1" | |
| name: "plane2_bn3a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch1" | |
| top: "plane2_res3a_branch1" | |
| name: "scale3a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res2b" | |
| top: "plane2_res3a_branch2a" | |
| name: "plane2_res3a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch2a" | |
| top: "plane2_res3a_branch2a" | |
| name: "plane2_bn3a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch2a" | |
| top: "plane2_res3a_branch2a" | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch2a" | |
| top: "plane2_res3a_branch2a" | |
| name: "plane2_res3a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch2a" | |
| top: "plane2_res3a_branch2b" | |
| name: "plane2_res3a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch2b" | |
| top: "plane2_res3a_branch2b" | |
| name: "plane2_bn3a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch2b" | |
| top: "plane2_res3a_branch2b" | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a_branch1" | |
| bottom: "plane2_res3a_branch2b" | |
| top: "plane2_res3a" | |
| name: "plane2_res3a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res3a" | |
| top: "plane2_res3a" | |
| name: "plane2_res3a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res3a" | |
| top: "plane2_res3b_branch2a" | |
| name: "plane2_res3b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3b_branch2a" | |
| top: "plane2_res3b_branch2a" | |
| name: "plane2_bn3b_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3b_branch2a" | |
| top: "plane2_res3b_branch2a" | |
| name: "scale3b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3b_branch2a" | |
| top: "plane2_res3b_branch2a" | |
| name: "plane2_res3b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res3b_branch2a" | |
| top: "plane2_res3b_branch2b" | |
| name: "plane2_res3b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3b_branch2b" | |
| top: "plane2_res3b_branch2b" | |
| name: "plane2_bn3b_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3b_branch2b" | |
| top: "plane2_res3b_branch2b" | |
| name: "scale3b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3a" | |
| bottom: "plane2_res3b_branch2b" | |
| top: "plane2_res3b" | |
| name: "plane2_res3b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res3b" | |
| top: "plane2_res3b" | |
| name: "plane2_res3b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res3b" | |
| top: "plane2_res3c_branch2a" | |
| name: "plane2_res3c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3c_branch2a" | |
| top: "plane2_res3c_branch2a" | |
| name: "plane2_bn3c_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3c_branch2a" | |
| top: "plane2_res3c_branch2a" | |
| name: "scale3c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3c_branch2a" | |
| top: "plane2_res3c_branch2a" | |
| name: "plane2_res3c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res3c_branch2a" | |
| top: "plane2_res3c_branch2b" | |
| name: "plane2_res3c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3c_branch2b" | |
| top: "plane2_res3c_branch2b" | |
| name: "plane2_bn3c_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3c_branch2b" | |
| top: "plane2_res3c_branch2b" | |
| name: "scale3c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3b" | |
| bottom: "plane2_res3c_branch2b" | |
| top: "plane2_res3c" | |
| name: "plane2_res3c" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res3c" | |
| top: "plane2_res3c" | |
| name: "plane2_res3c_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res3c" | |
| top: "plane2_res4a_branch1" | |
| name: "plane2_res4a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch1" | |
| top: "plane2_res4a_branch1" | |
| name: "plane2_bn4a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch1" | |
| top: "plane2_res4a_branch1" | |
| name: "scale4a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res3c" | |
| top: "plane2_res4a_branch2a" | |
| name: "plane2_res4a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch2a" | |
| top: "plane2_res4a_branch2a" | |
| name: "plane2_bn4a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch2a" | |
| top: "plane2_res4a_branch2a" | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch2a" | |
| top: "plane2_res4a_branch2a" | |
| name: "plane2_res4a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch2a" | |
| top: "plane2_res4a_branch2b" | |
| name: "plane2_res4a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch2b" | |
| top: "plane2_res4a_branch2b" | |
| name: "plane2_bn4a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch2b" | |
| top: "plane2_res4a_branch2b" | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a_branch1" | |
| bottom: "plane2_res4a_branch2b" | |
| top: "plane2_res4a" | |
| name: "plane2_res4a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res4a" | |
| top: "plane2_res4a" | |
| name: "plane2_res4a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4a" | |
| top: "plane2_res4b_branch2a" | |
| name: "plane2_res4b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4b_branch2a" | |
| top: "plane2_res4b_branch2a" | |
| name: "plane2_bn4b_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4b_branch2a" | |
| top: "plane2_res4b_branch2a" | |
| name: "scale4b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4b_branch2a" | |
| top: "plane2_res4b_branch2a" | |
| name: "plane2_res4b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4b_branch2a" | |
| top: "plane2_res4b_branch2b" | |
| name: "plane2_res4b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4b_branch2b" | |
| top: "plane2_res4b_branch2b" | |
| name: "plane2_bn4b_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4b_branch2b" | |
| top: "plane2_res4b_branch2b" | |
| name: "scale4b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4a" | |
| bottom: "plane2_res4b_branch2b" | |
| top: "plane2_res4b" | |
| name: "plane2_res4b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res4b" | |
| top: "plane2_res4b" | |
| name: "plane2_res4b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4b" | |
| top: "plane2_res4c_branch2a" | |
| name: "plane2_res4c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4c_branch2a" | |
| top: "plane2_res4c_branch2a" | |
| name: "plane2_bn4c_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4c_branch2a" | |
| top: "plane2_res4c_branch2a" | |
| name: "scale4c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4c_branch2a" | |
| top: "plane2_res4c_branch2a" | |
| name: "plane2_res4c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4c_branch2a" | |
| top: "plane2_res4c_branch2b" | |
| name: "plane2_res4c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4c_branch2b" | |
| top: "plane2_res4c_branch2b" | |
| name: "plane2_bn4c_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4c_branch2b" | |
| top: "plane2_res4c_branch2b" | |
| name: "scale4c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4b" | |
| bottom: "plane2_res4c_branch2b" | |
| top: "plane2_res4c" | |
| name: "plane2_res4c" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res4c" | |
| top: "plane2_res4c" | |
| name: "plane2_res4c_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4c" | |
| top: "plane2_res4d_branch2a" | |
| name: "plane2_res4d_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4d_branch2a" | |
| top: "plane2_res4d_branch2a" | |
| name: "plane2_bn4d_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4d_branch2a" | |
| top: "plane2_res4d_branch2a" | |
| name: "scale4d_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4d_branch2a" | |
| top: "plane2_res4d_branch2a" | |
| name: "plane2_res4d_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4d_branch2a" | |
| top: "plane2_res4d_branch2b" | |
| name: "plane2_res4d_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4d_branch2b" | |
| top: "plane2_res4d_branch2b" | |
| name: "plane2_bn4d_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4d_branch2b" | |
| top: "plane2_res4d_branch2b" | |
| name: "scale4d_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4c" | |
| bottom: "plane2_res4d_branch2b" | |
| top: "plane2_res4d" | |
| name: "plane2_res4d" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res4d" | |
| top: "plane2_res4d" | |
| name: "plane2_res4d_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res4d" | |
| top: "plane2_res5a_branch1" | |
| name: "plane2_res5a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch1" | |
| top: "plane2_res5a_branch1" | |
| name: "plane2_bn5a_branch1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch1" | |
| top: "plane2_res5a_branch1" | |
| name: "scale5a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res4d" | |
| top: "plane2_res5a_branch2a" | |
| name: "plane2_res5a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch2a" | |
| top: "plane2_res5a_branch2a" | |
| name: "plane2_bn5a_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch2a" | |
| top: "plane2_res5a_branch2a" | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch2a" | |
| top: "plane2_res5a_branch2a" | |
| name: "plane2_res5a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch2a" | |
| top: "plane2_res5a_branch2b" | |
| name: "plane2_res5a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch2b" | |
| top: "plane2_res5a_branch2b" | |
| name: "plane2_bn5a_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch2b" | |
| top: "plane2_res5a_branch2b" | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a_branch1" | |
| bottom: "plane2_res5a_branch2b" | |
| top: "plane2_res5a" | |
| name: "plane2_res5a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res5a" | |
| top: "plane2_res5a" | |
| name: "plane2_res5a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res5a" | |
| top: "plane2_res5b_branch2a" | |
| name: "plane2_res5b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5b_branch2a" | |
| top: "plane2_res5b_branch2a" | |
| name: "plane2_bn5b_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5b_branch2a" | |
| top: "plane2_res5b_branch2a" | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5b_branch2a" | |
| top: "plane2_res5b_branch2a" | |
| name: "plane2_res5b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res5b_branch2a" | |
| top: "plane2_res5b_branch2b" | |
| name: "plane2_res5b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5b_branch2b" | |
| top: "plane2_res5b_branch2b" | |
| name: "plane2_bn5b_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5b_branch2b" | |
| top: "plane2_res5b_branch2b" | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5a" | |
| bottom: "plane2_res5b_branch2b" | |
| top: "plane2_res5b" | |
| name: "plane2_res5b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res5b" | |
| top: "plane2_res5b" | |
| name: "plane2_res5b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res5b" | |
| top: "plane2_res5c_branch2a" | |
| name: "plane2_res5c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5c_branch2a" | |
| top: "plane2_res5c_branch2a" | |
| name: "plane2_bn5c_branch2a" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5c_branch2a" | |
| top: "plane2_res5c_branch2a" | |
| name: "scale5c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5c_branch2a" | |
| top: "plane2_res5c_branch2a" | |
| name: "plane2_res5c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res5c_branch2a" | |
| top: "plane2_res5c_branch2b" | |
| name: "plane2_res5c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5c_branch2b" | |
| top: "plane2_res5c_branch2b" | |
| name: "plane2_bn5c_branch2b" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5c_branch2b" | |
| top: "plane2_res5c_branch2b" | |
| name: "scale5c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "plane2_res5b" | |
| bottom: "plane2_res5c_branch2b" | |
| top: "plane2_res5c" | |
| name: "plane2_res5c" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "plane2_res5c" | |
| top: "plane2_res5c" | |
| name: "plane2_res5c_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "plane2_res5c" | |
| top: "pool5" | |
| name: "pool5" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 18 | |
| stride: 1 | |
| pool: AVE | |
| } | |
| } | |
| #layer { | |
| # bottom: "pool5" | |
| # top: "fc5" | |
| # name: "fc5" | |
| # type: "InnerProduct" | |
| # inner_product_param { | |
| # num_output: 5 | |
| # } | |
| #} | |
| #layer { | |
| # bottom: "fc5" | |
| # top: "prob" | |
| # name: "prob" | |
| # type: "Softmax" | |
| #} | |
| layer { | |
| name: "fc" | |
| bottom: "pool5" | |
| top: "fc" | |
| type: "InnerProduct" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 5 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "acc" | |
| type: "Accuracy" | |
| bottom: "fc" | |
| bottom: "label" | |
| top: "acc" | |
| } | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "fc" | |
| bottom: "label" | |
| top: "loss" | |
| } | |
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