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July 9, 2017 04:09
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| name: "Inception_v3" | |
| input: "data" | |
| input_shape { | |
| dim: 1 | |
| dim: 3 | |
| dim: 395 | |
| dim: 395 | |
| } | |
| layer { | |
| name: "conv1_3x3_s2" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1_3x3_s2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 32 | |
| pad: 0 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv1_3x3_s2_bn" | |
| type: "BatchNorm" | |
| bottom: "conv1_3x3_s2" | |
| top: "conv1_3x3_s2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "conv1_3x3_s2_scale" | |
| type: "Scale" | |
| bottom: "conv1_3x3_s2" | |
| top: "conv1_3x3_s2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv1_3x3_relu" | |
| type: "ReLU" | |
| bottom: "conv1_3x3_s2" | |
| top: "conv1_3x3_s2" | |
| } | |
| layer { | |
| name: "conv2_3x3_s1" | |
| type: "Convolution" | |
| bottom: "conv1_3x3_s2" | |
| top: "conv2_3x3_s1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 32 | |
| pad: 0 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv2_3x3_s1_bn" | |
| type: "BatchNorm" | |
| bottom: "conv2_3x3_s1" | |
| top: "conv2_3x3_s1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "conv2_3x3_s1_scale" | |
| type: "Scale" | |
| bottom: "conv2_3x3_s1" | |
| top: "conv2_3x3_s1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv2_3x3_relu" | |
| type: "ReLU" | |
| bottom: "conv2_3x3_s1" | |
| top: "conv2_3x3_s1" | |
| } | |
| layer { | |
| name: "conv3_3x3_s1" | |
| type: "Convolution" | |
| bottom: "conv2_3x3_s1" | |
| top: "conv3_3x3_s1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv3_3x3_s1_bn" | |
| type: "BatchNorm" | |
| bottom: "conv3_3x3_s1" | |
| top: "conv3_3x3_s1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "conv3_3x3_s1_scale" | |
| type: "Scale" | |
| bottom: "conv3_3x3_s1" | |
| top: "conv3_3x3_s1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv3_3x3_relu" | |
| type: "ReLU" | |
| bottom: "conv3_3x3_s1" | |
| top: "conv3_3x3_s1" | |
| } | |
| layer { | |
| name: "pool1_3x3_s2" | |
| type: "Pooling" | |
| bottom: "conv3_3x3_s1" | |
| top: "pool1_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv4_3x3_reduce" | |
| type: "Convolution" | |
| bottom: "pool1_3x3_s2" | |
| top: "conv4_3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 80 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv4_3x3_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "conv4_3x3_reduce" | |
| top: "conv4_3x3_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "conv4_3x3_reduce_scale" | |
| type: "Scale" | |
| bottom: "conv4_3x3_reduce" | |
| top: "conv4_3x3_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv4_relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "conv4_3x3_reduce" | |
| top: "conv4_3x3_reduce" | |
| } | |
| layer { | |
| name: "conv4_3x3" | |
| type: "Convolution" | |
| bottom: "conv4_3x3_reduce" | |
| top: "conv4_3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv4_3x3_bn" | |
| type: "BatchNorm" | |
| bottom: "conv4_3x3" | |
| top: "conv4_3x3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "conv4_3x3_scale" | |
| type: "Scale" | |
| bottom: "conv4_3x3" | |
| top: "conv4_3x3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv4_relu_3x3" | |
| type: "ReLU" | |
| bottom: "conv4_3x3" | |
| top: "conv4_3x3" | |
| } | |
| layer { | |
| name: "pool2_3x3_s2" | |
| type: "Pooling" | |
| bottom: "conv4_3x3" | |
| top: "pool2_3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_1x1" | |
| type: "Convolution" | |
| bottom: "pool2_3x3_s2" | |
| top: "inception_a1_1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_1x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a1_1x1" | |
| top: "inception_a1_1x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_1x1_scale" | |
| type: "Scale" | |
| bottom: "inception_a1_1x1" | |
| top: "inception_a1_1x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_1x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_a1_1x1" | |
| top: "inception_a1_1x1" | |
| } | |
| layer { | |
| name: "inception_a1_5x5_reduce" | |
| type: "Convolution" | |
| bottom: "pool2_3x3_s2" | |
| top: "inception_a1_5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 48 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_5x5_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a1_5x5_reduce" | |
| top: "inception_a1_5x5_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_5x5_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_a1_5x5_reduce" | |
| top: "inception_a1_5x5_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_5x5_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_a1_5x5_reduce" | |
| top: "inception_a1_5x5_reduce" | |
| } | |
| layer { | |
| name: "inception_a1_5x5" | |
| type: "Convolution" | |
| bottom: "inception_a1_5x5_reduce" | |
| top: "inception_a1_5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_5x5_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a1_5x5" | |
| top: "inception_a1_5x5" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_5x5_scale" | |
| type: "Scale" | |
| bottom: "inception_a1_5x5" | |
| top: "inception_a1_5x5" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_5x5_relu" | |
| type: "ReLU" | |
| bottom: "inception_a1_5x5" | |
| top: "inception_a1_5x5" | |
| } | |
| layer { | |
| name: "inception_a1_3x3_reduce" | |
| type: "Convolution" | |
| bottom: "pool2_3x3_s2" | |
| top: "inception_a1_3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a1_3x3_reduce" | |
| top: "inception_a1_3x3_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_a1_3x3_reduce" | |
| top: "inception_a1_3x3_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_a1_3x3_reduce" | |
| top: "inception_a1_3x3_reduce" | |
| } | |
| layer { | |
| name: "inception_a1_3x3_1" | |
| type: "Convolution" | |
| bottom: "inception_a1_3x3_reduce" | |
| top: "inception_a1_3x3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a1_3x3_1" | |
| top: "inception_a1_3x3_1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_1_scale" | |
| type: "Scale" | |
| bottom: "inception_a1_3x3_1" | |
| top: "inception_a1_3x3_1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_1_relu" | |
| type: "ReLU" | |
| bottom: "inception_a1_3x3_1" | |
| top: "inception_a1_3x3_1" | |
| } | |
| layer { | |
| name: "inception_a1_3x3_2" | |
| type: "Convolution" | |
| bottom: "inception_a1_3x3_1" | |
| top: "inception_a1_3x3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a1_3x3_2" | |
| top: "inception_a1_3x3_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_2_scale" | |
| type: "Scale" | |
| bottom: "inception_a1_3x3_2" | |
| top: "inception_a1_3x3_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_3x3_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_a1_3x3_2" | |
| top: "inception_a1_3x3_2" | |
| } | |
| layer { | |
| name: "inception_a1_pool" | |
| type: "Pooling" | |
| bottom: "pool2_3x3_s2" | |
| top: "inception_a1_pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_pool_proj" | |
| type: "Convolution" | |
| bottom: "inception_a1_pool" | |
| top: "inception_a1_pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 32 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_pool_proj_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a1_pool_proj" | |
| top: "inception_a1_pool_proj" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_pool_proj_scale" | |
| type: "Scale" | |
| bottom: "inception_a1_pool_proj" | |
| top: "inception_a1_pool_proj" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a1_pool_proj_relu" | |
| type: "ReLU" | |
| bottom: "inception_a1_pool_proj" | |
| top: "inception_a1_pool_proj" | |
| } | |
| layer { | |
| name: "inception_a1_output" | |
| type: "Concat" | |
| bottom: "inception_a1_1x1" | |
| bottom: "inception_a1_5x5" | |
| bottom: "inception_a1_3x3_2" | |
| bottom: "inception_a1_pool_proj" | |
| top: "inception_a1_output" | |
| } | |
| layer { | |
| name: "inception_a2_1x1" | |
| type: "Convolution" | |
| bottom: "inception_a1_output" | |
| top: "inception_a2_1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_1x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a2_1x1" | |
| top: "inception_a2_1x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_1x1_scale" | |
| type: "Scale" | |
| bottom: "inception_a2_1x1" | |
| top: "inception_a2_1x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_1x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_a2_1x1" | |
| top: "inception_a2_1x1" | |
| } | |
| layer { | |
| name: "inception_a2_5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inception_a1_output" | |
| top: "inception_a2_5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 48 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_5x5_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a2_5x5_reduce" | |
| top: "inception_a2_5x5_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_5x5_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_a2_5x5_reduce" | |
| top: "inception_a2_5x5_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_5x5_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_a2_5x5_reduce" | |
| top: "inception_a2_5x5_reduce" | |
| } | |
| layer { | |
| name: "inception_a2_5x5" | |
| type: "Convolution" | |
| bottom: "inception_a2_5x5_reduce" | |
| top: "inception_a2_5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_5x5_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a2_5x5" | |
| top: "inception_a2_5x5" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_5x5_scale" | |
| type: "Scale" | |
| bottom: "inception_a2_5x5" | |
| top: "inception_a2_5x5" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_5x5_relu" | |
| type: "ReLU" | |
| bottom: "inception_a2_5x5" | |
| top: "inception_a2_5x5" | |
| } | |
| layer { | |
| name: "inception_a2_3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inception_a1_output" | |
| top: "inception_a2_3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a2_3x3_reduce" | |
| top: "inception_a2_3x3_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_a2_3x3_reduce" | |
| top: "inception_a2_3x3_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_a2_3x3_reduce" | |
| top: "inception_a2_3x3_reduce" | |
| } | |
| layer { | |
| name: "inception_a2_3x3_1" | |
| type: "Convolution" | |
| bottom: "inception_a2_3x3_reduce" | |
| top: "inception_a2_3x3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a2_3x3_1" | |
| top: "inception_a2_3x3_1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_1_scale" | |
| type: "Scale" | |
| bottom: "inception_a2_3x3_1" | |
| top: "inception_a2_3x3_1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_1_relu" | |
| type: "ReLU" | |
| bottom: "inception_a2_3x3_1" | |
| top: "inception_a2_3x3_1" | |
| } | |
| layer { | |
| name: "inception_a2_3x3_2" | |
| type: "Convolution" | |
| bottom: "inception_a2_3x3_1" | |
| top: "inception_a2_3x3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a2_3x3_2" | |
| top: "inception_a2_3x3_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_2_scale" | |
| type: "Scale" | |
| bottom: "inception_a2_3x3_2" | |
| top: "inception_a2_3x3_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_3x3_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_a2_3x3_2" | |
| top: "inception_a2_3x3_2" | |
| } | |
| layer { | |
| name: "inception_a2_pool" | |
| type: "Pooling" | |
| bottom: "inception_a1_output" | |
| top: "inception_a2_pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_pool_proj" | |
| type: "Convolution" | |
| bottom: "inception_a2_pool" | |
| top: "inception_a2_pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_pool_proj_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a2_pool_proj" | |
| top: "inception_a2_pool_proj" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_pool_proj_scale" | |
| type: "Scale" | |
| bottom: "inception_a2_pool_proj" | |
| top: "inception_a2_pool_proj" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a2_pool_proj_relu" | |
| type: "ReLU" | |
| bottom: "inception_a2_pool_proj" | |
| top: "inception_a2_pool_proj" | |
| } | |
| layer { | |
| name: "inception_a2_output" | |
| type: "Concat" | |
| bottom: "inception_a2_1x1" | |
| bottom: "inception_a2_5x5" | |
| bottom: "inception_a2_3x3_2" | |
| bottom: "inception_a2_pool_proj" | |
| top: "inception_a2_output" | |
| } | |
| layer { | |
| name: "inception_a3_1x1" | |
| type: "Convolution" | |
| bottom: "inception_a2_output" | |
| top: "inception_a3_1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_1x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a3_1x1" | |
| top: "inception_a3_1x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_1x1_scale" | |
| type: "Scale" | |
| bottom: "inception_a3_1x1" | |
| top: "inception_a3_1x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_1x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_a3_1x1" | |
| top: "inception_a3_1x1" | |
| } | |
| layer { | |
| name: "inception_a3_5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inception_a2_output" | |
| top: "inception_a3_5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 48 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_5x5_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a3_5x5_reduce" | |
| top: "inception_a3_5x5_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_5x5_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_a3_5x5_reduce" | |
| top: "inception_a3_5x5_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_5x5_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_a3_5x5_reduce" | |
| top: "inception_a3_5x5_reduce" | |
| } | |
| layer { | |
| name: "inception_a3_5x5" | |
| type: "Convolution" | |
| bottom: "inception_a3_5x5_reduce" | |
| top: "inception_a3_5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_5x5_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a3_5x5" | |
| top: "inception_a3_5x5" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_5x5_scale" | |
| type: "Scale" | |
| bottom: "inception_a3_5x5" | |
| top: "inception_a3_5x5" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_5x5_relu" | |
| type: "ReLU" | |
| bottom: "inception_a3_5x5" | |
| top: "inception_a3_5x5" | |
| } | |
| layer { | |
| name: "inception_a3_3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inception_a2_output" | |
| top: "inception_a3_3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a3_3x3_reduce" | |
| top: "inception_a3_3x3_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_a3_3x3_reduce" | |
| top: "inception_a3_3x3_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_a3_3x3_reduce" | |
| top: "inception_a3_3x3_reduce" | |
| } | |
| layer { | |
| name: "inception_a3_3x3_1" | |
| type: "Convolution" | |
| bottom: "inception_a3_3x3_reduce" | |
| top: "inception_a3_3x3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a3_3x3_1" | |
| top: "inception_a3_3x3_1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_1_scale" | |
| type: "Scale" | |
| bottom: "inception_a3_3x3_1" | |
| top: "inception_a3_3x3_1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_1_relu" | |
| type: "ReLU" | |
| bottom: "inception_a3_3x3_1" | |
| top: "inception_a3_3x3_1" | |
| } | |
| layer { | |
| name: "inception_a3_3x3_2" | |
| type: "Convolution" | |
| bottom: "inception_a3_3x3_1" | |
| top: "inception_a3_3x3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a3_3x3_2" | |
| top: "inception_a3_3x3_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_2_scale" | |
| type: "Scale" | |
| bottom: "inception_a3_3x3_2" | |
| top: "inception_a3_3x3_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_3x3_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_a3_3x3_2" | |
| top: "inception_a3_3x3_2" | |
| } | |
| layer { | |
| name: "inception_a3_pool" | |
| type: "Pooling" | |
| bottom: "inception_a2_output" | |
| top: "inception_a3_pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_pool_proj" | |
| type: "Convolution" | |
| bottom: "inception_a3_pool" | |
| top: "inception_a3_pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_pool_proj_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_a3_pool_proj" | |
| top: "inception_a3_pool_proj" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_pool_proj_scale" | |
| type: "Scale" | |
| bottom: "inception_a3_pool_proj" | |
| top: "inception_a3_pool_proj" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_a3_pool_proj_relu" | |
| type: "ReLU" | |
| bottom: "inception_a3_pool_proj" | |
| top: "inception_a3_pool_proj" | |
| } | |
| layer { | |
| name: "inception_a3_output" | |
| type: "Concat" | |
| bottom: "inception_a3_1x1" | |
| bottom: "inception_a3_5x5" | |
| bottom: "inception_a3_3x3_2" | |
| bottom: "inception_a3_pool_proj" | |
| top: "inception_a3_output" | |
| } | |
| layer { | |
| name: "reduction_a_3x3" | |
| type: "Convolution" | |
| bottom: "inception_a3_output" | |
| top: "reduction_a_3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 384 | |
| pad: 0 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_bn" | |
| type: "BatchNorm" | |
| bottom: "reduction_a_3x3" | |
| top: "reduction_a_3x3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_scale" | |
| type: "Scale" | |
| bottom: "reduction_a_3x3" | |
| top: "reduction_a_3x3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_relu" | |
| type: "ReLU" | |
| bottom: "reduction_a_3x3" | |
| top: "reduction_a_3x3" | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2_reduce" | |
| type: "Convolution" | |
| bottom: "inception_a3_output" | |
| top: "reduction_a_3x3_2_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "reduction_a_3x3_2_reduce" | |
| top: "reduction_a_3x3_2_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2_reduce_scale" | |
| type: "Scale" | |
| bottom: "reduction_a_3x3_2_reduce" | |
| top: "reduction_a_3x3_2_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2_reduce_relu" | |
| type: "ReLU" | |
| bottom: "reduction_a_3x3_2_reduce" | |
| top: "reduction_a_3x3_2_reduce" | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2" | |
| type: "Convolution" | |
| bottom: "reduction_a_3x3_2_reduce" | |
| top: "reduction_a_3x3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2_bn" | |
| type: "BatchNorm" | |
| bottom: "reduction_a_3x3_2" | |
| top: "reduction_a_3x3_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2_scale" | |
| type: "Scale" | |
| bottom: "reduction_a_3x3_2" | |
| top: "reduction_a_3x3_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_2_relu" | |
| type: "ReLU" | |
| bottom: "reduction_a_3x3_2" | |
| top: "reduction_a_3x3_2" | |
| } | |
| layer { | |
| name: "reduction_a_3x3_3" | |
| type: "Convolution" | |
| bottom: "reduction_a_3x3_2" | |
| top: "reduction_a_3x3_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 96 | |
| pad: 0 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_3_bn" | |
| type: "BatchNorm" | |
| bottom: "reduction_a_3x3_3" | |
| top: "reduction_a_3x3_3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_3_scale" | |
| type: "Scale" | |
| bottom: "reduction_a_3x3_3" | |
| top: "reduction_a_3x3_3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_3x3_3_relu" | |
| type: "ReLU" | |
| bottom: "reduction_a_3x3_3" | |
| top: "reduction_a_3x3_3" | |
| } | |
| layer { | |
| name: "reduction_a_pool" | |
| type: "Pooling" | |
| bottom: "inception_a3_output" | |
| top: "reduction_a_pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "reduction_a_concat" | |
| type: "Concat" | |
| bottom: "reduction_a_3x3" | |
| bottom: "reduction_a_3x3_3" | |
| bottom: "reduction_a_pool" | |
| top: "reduction_a_concat" | |
| } | |
| layer { | |
| name: "inception_b1_1x1_2" | |
| type: "Convolution" | |
| bottom: "reduction_a_concat" | |
| top: "inception_b1_1x1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_1x1_2" | |
| top: "inception_b1_1x1_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x1_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_1x1_2" | |
| top: "inception_b1_1x1_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x1_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_1x1_2" | |
| top: "inception_b1_1x1_2" | |
| } | |
| layer { | |
| name: "inception_b1_1x7_reduce" | |
| type: "Convolution" | |
| bottom: "reduction_a_concat" | |
| top: "inception_b1_1x7_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_1x7_reduce" | |
| top: "inception_b1_1x7_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_1x7_reduce" | |
| top: "inception_b1_1x7_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_1x7_reduce" | |
| top: "inception_b1_1x7_reduce" | |
| } | |
| layer { | |
| name: "inception_b1_1x7" | |
| type: "Convolution" | |
| bottom: "inception_b1_1x7_reduce" | |
| top: "inception_b1_1x7" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 128 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_1x7" | |
| top: "inception_b1_1x7" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_1x7" | |
| top: "inception_b1_1x7" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_1x7" | |
| top: "inception_b1_1x7" | |
| } | |
| layer { | |
| name: "inception_b1_7x1" | |
| type: "Convolution" | |
| bottom: "inception_b1_1x7" | |
| top: "inception_b1_7x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_7x1" | |
| top: "inception_b1_7x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_7x1" | |
| top: "inception_b1_7x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_7x1" | |
| top: "inception_b1_7x1" | |
| } | |
| layer { | |
| name: "inception_b1_7x1_reduce" | |
| type: "Convolution" | |
| bottom: "reduction_a_concat" | |
| top: "inception_b1_7x1_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_7x1_reduce" | |
| top: "inception_b1_7x1_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_7x1_reduce" | |
| top: "inception_b1_7x1_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_7x1_reduce" | |
| top: "inception_b1_7x1_reduce" | |
| } | |
| layer { | |
| name: "inception_b1_7x1_2" | |
| type: "Convolution" | |
| bottom: "inception_b1_7x1_reduce" | |
| top: "inception_b1_7x1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 128 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_7x1_2" | |
| top: "inception_b1_7x1_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_7x1_2" | |
| top: "inception_b1_7x1_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_7x1_2" | |
| top: "inception_b1_7x1_2" | |
| } | |
| layer { | |
| name: "inception_b1_1x7_2" | |
| type: "Convolution" | |
| bottom: "inception_b1_7x1_2" | |
| top: "inception_b1_1x7_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 128 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_1x7_2" | |
| top: "inception_b1_1x7_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_1x7_2" | |
| top: "inception_b1_1x7_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_1x7_2" | |
| top: "inception_b1_1x7_2" | |
| } | |
| layer { | |
| name: "inception_b1_7x1_3" | |
| type: "Convolution" | |
| bottom: "inception_b1_1x7_2" | |
| top: "inception_b1_7x1_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 128 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_3_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_7x1_3" | |
| top: "inception_b1_7x1_3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_3_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_7x1_3" | |
| top: "inception_b1_7x1_3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_7x1_3_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_7x1_3" | |
| top: "inception_b1_7x1_3" | |
| } | |
| layer { | |
| name: "inception_b1_1x7_3" | |
| type: "Convolution" | |
| bottom: "inception_b1_7x1_3" | |
| top: "inception_b1_1x7_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_3_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_1x7_3" | |
| top: "inception_b1_1x7_3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_3_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_1x7_3" | |
| top: "inception_b1_1x7_3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x7_3_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_1x7_3" | |
| top: "inception_b1_1x7_3" | |
| } | |
| layer { | |
| name: "inception_b1_pool_ave" | |
| type: "Pooling" | |
| bottom: "reduction_a_concat" | |
| top: "inception_b1_pool_ave" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x1" | |
| type: "Convolution" | |
| bottom: "inception_b1_pool_ave" | |
| top: "inception_b1_1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b1_1x1" | |
| top: "inception_b1_1x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x1_scale" | |
| type: "Scale" | |
| bottom: "inception_b1_1x1" | |
| top: "inception_b1_1x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b1_1x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_b1_1x1" | |
| top: "inception_b1_1x1" | |
| } | |
| layer { | |
| name: "inception_b1_concat" | |
| type: "Concat" | |
| bottom: "inception_b1_1x1_2" | |
| bottom: "inception_b1_7x1" | |
| bottom: "inception_b1_1x7_3" | |
| bottom: "inception_b1_1x1" | |
| top: "inception_b1_concat" | |
| } | |
| layer { | |
| name: "inception_b2_1x1_2" | |
| type: "Convolution" | |
| bottom: "inception_b1_concat" | |
| top: "inception_b2_1x1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_1x1_2" | |
| top: "inception_b2_1x1_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x1_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_1x1_2" | |
| top: "inception_b2_1x1_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x1_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_1x1_2" | |
| top: "inception_b2_1x1_2" | |
| } | |
| layer { | |
| name: "inception_b2_1x7_reduce" | |
| type: "Convolution" | |
| bottom: "inception_b1_concat" | |
| top: "inception_b2_1x7_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_1x7_reduce" | |
| top: "inception_b2_1x7_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_1x7_reduce" | |
| top: "inception_b2_1x7_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_1x7_reduce" | |
| top: "inception_b2_1x7_reduce" | |
| } | |
| layer { | |
| name: "inception_b2_1x7" | |
| type: "Convolution" | |
| bottom: "inception_b2_1x7_reduce" | |
| top: "inception_b2_1x7" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_1x7" | |
| top: "inception_b2_1x7" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_1x7" | |
| top: "inception_b2_1x7" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_1x7" | |
| top: "inception_b2_1x7" | |
| } | |
| layer { | |
| name: "inception_b2_7x1" | |
| type: "Convolution" | |
| bottom: "inception_b2_1x7" | |
| top: "inception_b2_7x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_7x1" | |
| top: "inception_b2_7x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_7x1" | |
| top: "inception_b2_7x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_7x1" | |
| top: "inception_b2_7x1" | |
| } | |
| layer { | |
| name: "inception_b2_7x1_reduce" | |
| type: "Convolution" | |
| bottom: "inception_b1_concat" | |
| top: "inception_b2_7x1_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_7x1_reduce" | |
| top: "inception_b2_7x1_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_7x1_reduce" | |
| top: "inception_b2_7x1_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_7x1_reduce" | |
| top: "inception_b2_7x1_reduce" | |
| } | |
| layer { | |
| name: "inception_b2_7x1_2" | |
| type: "Convolution" | |
| bottom: "inception_b2_7x1_reduce" | |
| top: "inception_b2_7x1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_7x1_2" | |
| top: "inception_b2_7x1_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_7x1_2" | |
| top: "inception_b2_7x1_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_7x1_2" | |
| top: "inception_b2_7x1_2" | |
| } | |
| layer { | |
| name: "inception_b2_1x7_2" | |
| type: "Convolution" | |
| bottom: "inception_b2_7x1_2" | |
| top: "inception_b2_1x7_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_1x7_2" | |
| top: "inception_b2_1x7_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_1x7_2" | |
| top: "inception_b2_1x7_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_1x7_2" | |
| top: "inception_b2_1x7_2" | |
| } | |
| layer { | |
| name: "inception_b2_7x1_3" | |
| type: "Convolution" | |
| bottom: "inception_b2_1x7_2" | |
| top: "inception_b2_7x1_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_3_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_7x1_3" | |
| top: "inception_b2_7x1_3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_3_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_7x1_3" | |
| top: "inception_b2_7x1_3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_7x1_3_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_7x1_3" | |
| top: "inception_b2_7x1_3" | |
| } | |
| layer { | |
| name: "inception_b2_1x7_3" | |
| type: "Convolution" | |
| bottom: "inception_b2_7x1_3" | |
| top: "inception_b2_1x7_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_3_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_1x7_3" | |
| top: "inception_b2_1x7_3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_3_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_1x7_3" | |
| top: "inception_b2_1x7_3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x7_3_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_1x7_3" | |
| top: "inception_b2_1x7_3" | |
| } | |
| layer { | |
| name: "inception_b2_pool_ave" | |
| type: "Pooling" | |
| bottom: "inception_b1_concat" | |
| top: "inception_b2_pool_ave" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x1" | |
| type: "Convolution" | |
| bottom: "inception_b2_pool_ave" | |
| top: "inception_b2_1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b2_1x1" | |
| top: "inception_b2_1x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x1_scale" | |
| type: "Scale" | |
| bottom: "inception_b2_1x1" | |
| top: "inception_b2_1x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b2_1x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_b2_1x1" | |
| top: "inception_b2_1x1" | |
| } | |
| layer { | |
| name: "inception_b2_concat" | |
| type: "Concat" | |
| bottom: "inception_b2_1x1_2" | |
| bottom: "inception_b2_7x1" | |
| bottom: "inception_b2_1x7_3" | |
| bottom: "inception_b2_1x1" | |
| top: "inception_b2_concat" | |
| } | |
| layer { | |
| name: "inception_b3_1x1_2" | |
| type: "Convolution" | |
| bottom: "inception_b2_concat" | |
| top: "inception_b3_1x1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_1x1_2" | |
| top: "inception_b3_1x1_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x1_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_1x1_2" | |
| top: "inception_b3_1x1_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x1_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_1x1_2" | |
| top: "inception_b3_1x1_2" | |
| } | |
| layer { | |
| name: "inception_b3_1x7_reduce" | |
| type: "Convolution" | |
| bottom: "inception_b2_concat" | |
| top: "inception_b3_1x7_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_1x7_reduce" | |
| top: "inception_b3_1x7_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_1x7_reduce" | |
| top: "inception_b3_1x7_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_1x7_reduce" | |
| top: "inception_b3_1x7_reduce" | |
| } | |
| layer { | |
| name: "inception_b3_1x7" | |
| type: "Convolution" | |
| bottom: "inception_b3_1x7_reduce" | |
| top: "inception_b3_1x7" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_1x7" | |
| top: "inception_b3_1x7" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_1x7" | |
| top: "inception_b3_1x7" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_1x7" | |
| top: "inception_b3_1x7" | |
| } | |
| layer { | |
| name: "inception_b3_7x1" | |
| type: "Convolution" | |
| bottom: "inception_b3_1x7" | |
| top: "inception_b3_7x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_7x1" | |
| top: "inception_b3_7x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_7x1" | |
| top: "inception_b3_7x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_7x1" | |
| top: "inception_b3_7x1" | |
| } | |
| layer { | |
| name: "inception_b3_7x1_reduce" | |
| type: "Convolution" | |
| bottom: "inception_b2_concat" | |
| top: "inception_b3_7x1_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_reduce_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_7x1_reduce" | |
| top: "inception_b3_7x1_reduce" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_reduce_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_7x1_reduce" | |
| top: "inception_b3_7x1_reduce" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_reduce_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_7x1_reduce" | |
| top: "inception_b3_7x1_reduce" | |
| } | |
| layer { | |
| name: "inception_b3_7x1_2" | |
| type: "Convolution" | |
| bottom: "inception_b3_7x1_reduce" | |
| top: "inception_b3_7x1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_7x1_2" | |
| top: "inception_b3_7x1_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_7x1_2" | |
| top: "inception_b3_7x1_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_7x1_2" | |
| top: "inception_b3_7x1_2" | |
| } | |
| layer { | |
| name: "inception_b3_1x7_2" | |
| type: "Convolution" | |
| bottom: "inception_b3_7x1_2" | |
| top: "inception_b3_1x7_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_1x7_2" | |
| top: "inception_b3_1x7_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_1x7_2" | |
| top: "inception_b3_1x7_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_1x7_2" | |
| top: "inception_b3_1x7_2" | |
| } | |
| layer { | |
| name: "inception_b3_7x1_3" | |
| type: "Convolution" | |
| bottom: "inception_b3_1x7_2" | |
| top: "inception_b3_7x1_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 160 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 3 | |
| pad_w: 0 | |
| kernel_h: 7 | |
| kernel_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_3_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_7x1_3" | |
| top: "inception_b3_7x1_3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_3_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_7x1_3" | |
| top: "inception_b3_7x1_3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_7x1_3_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_7x1_3" | |
| top: "inception_b3_7x1_3" | |
| } | |
| layer { | |
| name: "inception_b3_1x7_3" | |
| type: "Convolution" | |
| bottom: "inception_b3_7x1_3" | |
| top: "inception_b3_1x7_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| pad_h: 0 | |
| pad_w: 3 | |
| kernel_h: 1 | |
| kernel_w: 7 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_3_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_1x7_3" | |
| top: "inception_b3_1x7_3" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_3_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_1x7_3" | |
| top: "inception_b3_1x7_3" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x7_3_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_1x7_3" | |
| top: "inception_b3_1x7_3" | |
| } | |
| layer { | |
| name: "inception_b3_pool_ave" | |
| type: "Pooling" | |
| bottom: "inception_b2_concat" | |
| top: "inception_b3_pool_ave" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x1" | |
| type: "Convolution" | |
| bottom: "inception_b3_pool_ave" | |
| top: "inception_b3_1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x1_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b3_1x1" | |
| top: "inception_b3_1x1" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x1_scale" | |
| type: "Scale" | |
| bottom: "inception_b3_1x1" | |
| top: "inception_b3_1x1" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b3_1x1_relu" | |
| type: "ReLU" | |
| bottom: "inception_b3_1x1" | |
| top: "inception_b3_1x1" | |
| } | |
| layer { | |
| name: "inception_b3_concat" | |
| type: "Concat" | |
| bottom: "inception_b3_1x1_2" | |
| bottom: "inception_b3_7x1" | |
| bottom: "inception_b3_1x7_3" | |
| bottom: "inception_b3_1x1" | |
| top: "inception_b3_concat" | |
| } | |
| layer { | |
| name: "inception_b4_1x1_2" | |
| type: "Convolution" | |
| bottom: "inception_b3_concat" | |
| top: "inception_b4_1x1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_b4_1x1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "inception_b4_1x1_2" | |
| top: "inception_b4_1x1_2" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "inception_b4_1x1_2_scale" | |
| type: "Scale" | |
| bottom: "inception_b4_1x1_2" | |
| top: "inception_b4_1x1_2" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "inception_b4_1x1_2_relu" | |
| type: "ReLU" | |
| bottom: "inception_b4_1x1_2" | |
| top: "inception_b4_1x1_2" | |
| } | |
| layer { | |
| name: "inception_b4_1x7_reduce" | |
| type: "Convolution" | |
| bottom: "inception_b3_concat" | |
| top: "inception_b4_1x7_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| bias_term: false | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| } | |