Caffe BNInception prototxt taken from https://github.com/lim0606/caffe-googlenet-bn Used for netscope visualisation
https://ethereon.github.io/netscope/#/gist/3da27b4f676a5295a73dbfc1cf2bf3e6
Last active
July 1, 2019 15:49
-
-
Save willprice/3da27b4f676a5295a73dbfc1cf2bf3e6 to your computer and use it in GitHub Desktop.
Caffe BNInception architecture
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Inception Network (GoogLeNet Batch Normalization Network) | |
| name: "InceptionNetwork" | |
| input: "data" | |
| input_shape { | |
| dim: 10 | |
| dim: 3 | |
| dim: 224 | |
| dim: 224 | |
| } | |
| layer { | |
| bottom: "data" | |
| top: "conv1/7x7_s2" | |
| name: "conv1/7x7_s2" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "conv1/7x7_s2" | |
| name: "conv1/7x7_s2/bn" | |
| top: "conv1/7x7_s2/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "conv1/7x7_s2/bn" | |
| top: "conv1/7x7_s2/bn/sc" | |
| name: "conv1/7x7_s2/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "conv1/7x7_s2/bn/sc" | |
| top: "conv1/7x7_s2/bn/sc" | |
| name: "conv1/7x7_s2/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "conv1/7x7_s2/bn/sc" | |
| top: "pool1/3x3_s2" | |
| name: "pool1/3x3_s2" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| bottom: "pool1/3x3_s2" | |
| top: "conv2/3x3_reduce" | |
| name: "conv2/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "conv2/3x3_reduce" | |
| name: "conv2/3x3_reduce/bn" | |
| top: "conv2/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "conv2/3x3_reduce/bn" | |
| top: "conv2/3x3_reduce/bn/sc" | |
| name: "conv2/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "conv2/3x3_reduce/bn/sc" | |
| top: "conv2/3x3_reduce/bn/sc" | |
| name: "conv2/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "conv2/3x3_reduce/bn/sc" | |
| top: "conv2/3x3" | |
| name: "conv2/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "conv2/3x3" | |
| name: "conv2/3x3/bn" | |
| top: "conv2/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "conv2/3x3/bn" | |
| top: "conv2/3x3/bn/sc" | |
| name: "conv2/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "conv2/3x3/bn/sc" | |
| top: "conv2/3x3/bn/sc" | |
| name: "conv2/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "conv2/3x3/bn/sc" | |
| top: "pool2/3x3_s2" | |
| name: "pool2/3x3_s2" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/1x1" | |
| name: "inception_3a/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/1x1" | |
| name: "inception_3a/1x1/bn" | |
| top: "inception_3a/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3a/1x1/bn" | |
| top: "inception_3a/1x1/bn/sc" | |
| name: "inception_3a/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/1x1/bn/sc" | |
| top: "inception_3a/1x1/bn/sc" | |
| name: "inception_3a/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/3x3_reduce" | |
| name: "inception_3a/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/3x3_reduce" | |
| name: "inception_3a/3x3_reduce/bn" | |
| top: "inception_3a/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3a/3x3_reduce/bn" | |
| top: "inception_3a/3x3_reduce/bn/sc" | |
| name: "inception_3a/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/3x3_reduce/bn/sc" | |
| top: "inception_3a/3x3_reduce/bn/sc" | |
| name: "inception_3a/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3a/3x3_reduce/bn/sc" | |
| top: "inception_3a/3x3" | |
| name: "inception_3a/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/3x3" | |
| name: "inception_3a/3x3/bn" | |
| top: "inception_3a/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3a/3x3/bn" | |
| top: "inception_3a/3x3/bn/sc" | |
| name: "inception_3a/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/3x3/bn/sc" | |
| top: "inception_3a/3x3/bn/sc" | |
| name: "inception_3a/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/double3x3_reduce" | |
| name: "inception_3a/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3_reduce" | |
| name: "inception_3a/double3x3_reduce/bn" | |
| top: "inception_3a/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3_reduce/bn" | |
| top: "inception_3a/double3x3_reduce/bn/sc" | |
| name: "inception_3a/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3_reduce/bn/sc" | |
| top: "inception_3a/double3x3_reduce/bn/sc" | |
| name: "inception_3a/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3_reduce/bn/sc" | |
| top: "inception_3a/double3x3a" | |
| name: "inception_3a/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3a" | |
| name: "inception_3a/double3x3a/bn" | |
| top: "inception_3a/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3a/bn" | |
| top: "inception_3a/double3x3a/bn/sc" | |
| name: "inception_3a/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3a/bn/sc" | |
| top: "inception_3a/double3x3a/bn/sc" | |
| name: "inception_3a/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3a/bn/sc" | |
| top: "inception_3a/double3x3b" | |
| name: "inception_3a/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3b" | |
| name: "inception_3a/double3x3b/bn" | |
| top: "inception_3a/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3b/bn" | |
| top: "inception_3a/double3x3b/bn/sc" | |
| name: "inception_3a/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/double3x3b/bn/sc" | |
| top: "inception_3a/double3x3b/bn/sc" | |
| name: "inception_3a/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/pool" | |
| name: "inception_3a/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/pool" | |
| top: "inception_3a/pool_proj" | |
| name: "inception_3a/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/pool_proj" | |
| name: "inception_3a/pool_proj/bn" | |
| top: "inception_3a/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3a/pool_proj/bn" | |
| top: "inception_3a/pool_proj/bn/sc" | |
| name: "inception_3a/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3a/pool_proj/bn/sc" | |
| top: "inception_3a/pool_proj/bn/sc" | |
| name: "inception_3a/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3a/1x1/bn/sc" | |
| bottom: "inception_3a/3x3/bn/sc" | |
| bottom: "inception_3a/double3x3b/bn/sc" | |
| bottom: "inception_3a/pool_proj/bn/sc" | |
| top: "inception_3a/output" | |
| name: "inception_3a/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/1x1" | |
| name: "inception_3b/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/1x1" | |
| name: "inception_3b/1x1/bn" | |
| top: "inception_3b/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3b/1x1/bn" | |
| top: "inception_3b/1x1/bn/sc" | |
| name: "inception_3b/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/1x1/bn/sc" | |
| top: "inception_3b/1x1/bn/sc" | |
| name: "inception_3b/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/3x3_reduce" | |
| name: "inception_3b/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/3x3_reduce" | |
| name: "inception_3b/3x3_reduce/bn" | |
| top: "inception_3b/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3b/3x3_reduce/bn" | |
| top: "inception_3b/3x3_reduce/bn/sc" | |
| name: "inception_3b/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/3x3_reduce/bn/sc" | |
| top: "inception_3b/3x3_reduce/bn/sc" | |
| name: "inception_3b/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3b/3x3_reduce/bn/sc" | |
| top: "inception_3b/3x3" | |
| name: "inception_3b/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/3x3" | |
| name: "inception_3b/3x3/bn" | |
| top: "inception_3b/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3b/3x3/bn" | |
| top: "inception_3b/3x3/bn/sc" | |
| name: "inception_3b/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/3x3/bn/sc" | |
| top: "inception_3b/3x3/bn/sc" | |
| name: "inception_3b/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/double3x3_reduce" | |
| name: "inception_3b/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3_reduce" | |
| name: "inception_3b/double3x3_reduce/bn" | |
| top: "inception_3b/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3_reduce/bn" | |
| top: "inception_3b/double3x3_reduce/bn/sc" | |
| name: "inception_3b/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3_reduce/bn/sc" | |
| top: "inception_3b/double3x3_reduce/bn/sc" | |
| name: "inception_3b/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3_reduce/bn/sc" | |
| top: "inception_3b/double3x3a" | |
| name: "inception_3b/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3a" | |
| name: "inception_3b/double3x3a/bn" | |
| top: "inception_3b/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3a/bn" | |
| top: "inception_3b/double3x3a/bn/sc" | |
| name: "inception_3b/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3a/bn/sc" | |
| top: "inception_3b/double3x3a/bn/sc" | |
| name: "inception_3b/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3a/bn/sc" | |
| top: "inception_3b/double3x3b" | |
| name: "inception_3b/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3b" | |
| name: "inception_3b/double3x3b/bn" | |
| top: "inception_3b/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3b/bn" | |
| top: "inception_3b/double3x3b/bn/sc" | |
| name: "inception_3b/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/double3x3b/bn/sc" | |
| top: "inception_3b/double3x3b/bn/sc" | |
| name: "inception_3b/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/pool" | |
| name: "inception_3b/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/pool" | |
| top: "inception_3b/pool_proj" | |
| name: "inception_3b/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/pool_proj" | |
| name: "inception_3b/pool_proj/bn" | |
| top: "inception_3b/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3b/pool_proj/bn" | |
| top: "inception_3b/pool_proj/bn/sc" | |
| name: "inception_3b/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3b/pool_proj/bn/sc" | |
| top: "inception_3b/pool_proj/bn/sc" | |
| name: "inception_3b/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3b/1x1/bn/sc" | |
| bottom: "inception_3b/3x3/bn/sc" | |
| bottom: "inception_3b/double3x3b/bn/sc" | |
| bottom: "inception_3b/pool_proj/bn/sc" | |
| top: "inception_3b/output" | |
| name: "inception_3b/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_3b/output" | |
| top: "inception_3c/3x3_reduce" | |
| name: "inception_3c/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3_reduce" | |
| name: "inception_3c/3x3_reduce/bn" | |
| top: "inception_3c/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3_reduce/bn" | |
| top: "inception_3c/3x3_reduce/bn/sc" | |
| name: "inception_3c/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3_reduce/bn/sc" | |
| top: "inception_3c/3x3_reduce/bn/sc" | |
| name: "inception_3c/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3_reduce/bn/sc" | |
| top: "inception_3c/3x3" | |
| name: "inception_3c/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3" | |
| name: "inception_3c/3x3/bn" | |
| top: "inception_3c/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3/bn" | |
| top: "inception_3c/3x3/bn/sc" | |
| name: "inception_3c/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3/bn/sc" | |
| top: "inception_3c/3x3/bn/sc" | |
| name: "inception_3c/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3b/output" | |
| top: "inception_3c/double3x3_reduce" | |
| name: "inception_3c/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3_reduce" | |
| name: "inception_3c/double3x3_reduce/bn" | |
| top: "inception_3c/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3_reduce/bn" | |
| top: "inception_3c/double3x3_reduce/bn/sc" | |
| name: "inception_3c/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3_reduce/bn/sc" | |
| top: "inception_3c/double3x3_reduce/bn/sc" | |
| name: "inception_3c/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3_reduce/bn/sc" | |
| top: "inception_3c/double3x3a" | |
| name: "inception_3c/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3a" | |
| name: "inception_3c/double3x3a/bn" | |
| top: "inception_3c/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3a/bn" | |
| top: "inception_3c/double3x3a/bn/sc" | |
| name: "inception_3c/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3a/bn/sc" | |
| top: "inception_3c/double3x3a/bn/sc" | |
| name: "inception_3c/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3a/bn/sc" | |
| top: "inception_3c/double3x3b" | |
| name: "inception_3c/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3b" | |
| name: "inception_3c/double3x3b/bn" | |
| top: "inception_3c/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3b/bn" | |
| top: "inception_3c/double3x3b/bn/sc" | |
| name: "inception_3c/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/double3x3b/bn/sc" | |
| top: "inception_3c/double3x3b/bn/sc" | |
| name: "inception_3c/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3b/output" | |
| top: "inception_3c/pool" | |
| name: "inception_3c/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_3c/3x3/bn/sc" | |
| bottom: "inception_3c/double3x3b/bn/sc" | |
| bottom: "inception_3c/pool" | |
| top: "inception_3c/output" | |
| name: "inception_3c/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_3c/output" | |
| top: "inception_4a/1x1" | |
| name: "inception_4a/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/1x1" | |
| name: "inception_4a/1x1/bn" | |
| top: "inception_4a/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4a/1x1/bn" | |
| top: "inception_4a/1x1/bn/sc" | |
| name: "inception_4a/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/1x1/bn/sc" | |
| top: "inception_4a/1x1/bn/sc" | |
| name: "inception_4a/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3c/output" | |
| top: "inception_4a/3x3_reduce" | |
| name: "inception_4a/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce" | |
| name: "inception_4a/3x3_reduce/bn" | |
| top: "inception_4a/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce/bn" | |
| top: "inception_4a/3x3_reduce/bn/sc" | |
| name: "inception_4a/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce/bn/sc" | |
| top: "inception_4a/3x3_reduce/bn/sc" | |
| name: "inception_4a/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce/bn/sc" | |
| top: "inception_4a/3x3" | |
| name: "inception_4a/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3" | |
| name: "inception_4a/3x3/bn" | |
| top: "inception_4a/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3/bn" | |
| top: "inception_4a/3x3/bn/sc" | |
| name: "inception_4a/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3/bn/sc" | |
| top: "inception_4a/3x3/bn/sc" | |
| name: "inception_4a/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3c/output" | |
| top: "inception_4a/double3x3_reduce" | |
| name: "inception_4a/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3_reduce" | |
| name: "inception_4a/double3x3_reduce/bn" | |
| top: "inception_4a/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3_reduce/bn" | |
| top: "inception_4a/double3x3_reduce/bn/sc" | |
| name: "inception_4a/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3_reduce/bn/sc" | |
| top: "inception_4a/double3x3_reduce/bn/sc" | |
| name: "inception_4a/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3_reduce/bn/sc" | |
| top: "inception_4a/double3x3a" | |
| name: "inception_4a/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3a" | |
| name: "inception_4a/double3x3a/bn" | |
| top: "inception_4a/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3a/bn" | |
| top: "inception_4a/double3x3a/bn/sc" | |
| name: "inception_4a/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3a/bn/sc" | |
| top: "inception_4a/double3x3a/bn/sc" | |
| name: "inception_4a/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3a/bn/sc" | |
| top: "inception_4a/double3x3b" | |
| name: "inception_4a/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3b" | |
| name: "inception_4a/double3x3b/bn" | |
| top: "inception_4a/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3b/bn" | |
| top: "inception_4a/double3x3b/bn/sc" | |
| name: "inception_4a/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/double3x3b/bn/sc" | |
| top: "inception_4a/double3x3b/bn/sc" | |
| name: "inception_4a/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_3c/output" | |
| top: "inception_4a/pool" | |
| name: "inception_4a/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/pool" | |
| top: "inception_4a/pool_proj" | |
| name: "inception_4a/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/pool_proj" | |
| name: "inception_4a/pool_proj/bn" | |
| top: "inception_4a/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4a/pool_proj/bn" | |
| top: "inception_4a/pool_proj/bn/sc" | |
| name: "inception_4a/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/pool_proj/bn/sc" | |
| top: "inception_4a/pool_proj/bn/sc" | |
| name: "inception_4a/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4a/1x1/bn/sc" | |
| bottom: "inception_4a/3x3/bn/sc" | |
| bottom: "inception_4a/double3x3b/bn/sc" | |
| bottom: "inception_4a/pool_proj/bn/sc" | |
| top: "inception_4a/output" | |
| name: "inception_4a/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_4a/output" | |
| top: "inception_4b/1x1" | |
| name: "inception_4b/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/1x1" | |
| name: "inception_4b/1x1/bn" | |
| top: "inception_4b/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4b/1x1/bn" | |
| top: "inception_4b/1x1/bn/sc" | |
| name: "inception_4b/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/1x1/bn/sc" | |
| top: "inception_4b/1x1/bn/sc" | |
| name: "inception_4b/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4a/output" | |
| top: "inception_4b/3x3_reduce" | |
| name: "inception_4b/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/3x3_reduce" | |
| name: "inception_4b/3x3_reduce/bn" | |
| top: "inception_4b/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4b/3x3_reduce/bn" | |
| top: "inception_4b/3x3_reduce/bn/sc" | |
| name: "inception_4b/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/3x3_reduce/bn/sc" | |
| top: "inception_4b/3x3_reduce/bn/sc" | |
| name: "inception_4b/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4b/3x3_reduce/bn/sc" | |
| top: "inception_4b/3x3" | |
| name: "inception_4b/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/3x3" | |
| name: "inception_4b/3x3/bn" | |
| top: "inception_4b/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4b/3x3/bn" | |
| top: "inception_4b/3x3/bn/sc" | |
| name: "inception_4b/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/3x3/bn/sc" | |
| top: "inception_4b/3x3/bn/sc" | |
| name: "inception_4b/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4a/output" | |
| top: "inception_4b/double3x3_reduce" | |
| name: "inception_4b/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3_reduce" | |
| name: "inception_4b/double3x3_reduce/bn" | |
| top: "inception_4b/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3_reduce/bn" | |
| top: "inception_4b/double3x3_reduce/bn/sc" | |
| name: "inception_4b/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3_reduce/bn/sc" | |
| top: "inception_4b/double3x3_reduce/bn/sc" | |
| name: "inception_4b/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3_reduce/bn/sc" | |
| top: "inception_4b/double3x3a" | |
| name: "inception_4b/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3a" | |
| name: "inception_4b/double3x3a/bn" | |
| top: "inception_4b/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3a/bn" | |
| top: "inception_4b/double3x3a/bn/sc" | |
| name: "inception_4b/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3a/bn/sc" | |
| top: "inception_4b/double3x3a/bn/sc" | |
| name: "inception_4b/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3a/bn/sc" | |
| top: "inception_4b/double3x3b" | |
| name: "inception_4b/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3b" | |
| name: "inception_4b/double3x3b/bn" | |
| top: "inception_4b/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3b/bn" | |
| top: "inception_4b/double3x3b/bn/sc" | |
| name: "inception_4b/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/double3x3b/bn/sc" | |
| top: "inception_4b/double3x3b/bn/sc" | |
| name: "inception_4b/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4a/output" | |
| top: "inception_4b/pool" | |
| name: "inception_4b/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/pool" | |
| top: "inception_4b/pool_proj" | |
| name: "inception_4b/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/pool_proj" | |
| name: "inception_4b/pool_proj/bn" | |
| top: "inception_4b/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4b/pool_proj/bn" | |
| top: "inception_4b/pool_proj/bn/sc" | |
| name: "inception_4b/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4b/pool_proj/bn/sc" | |
| top: "inception_4b/pool_proj/bn/sc" | |
| name: "inception_4b/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4b/1x1/bn/sc" | |
| bottom: "inception_4b/3x3/bn/sc" | |
| bottom: "inception_4b/double3x3b/bn/sc" | |
| bottom: "inception_4b/pool_proj/bn/sc" | |
| top: "inception_4b/output" | |
| name: "inception_4b/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_4b/output" | |
| top: "inception_4c/1x1" | |
| name: "inception_4c/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/1x1" | |
| name: "inception_4c/1x1/bn" | |
| top: "inception_4c/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4c/1x1/bn" | |
| top: "inception_4c/1x1/bn/sc" | |
| name: "inception_4c/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/1x1/bn/sc" | |
| top: "inception_4c/1x1/bn/sc" | |
| name: "inception_4c/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4b/output" | |
| top: "inception_4c/3x3_reduce" | |
| name: "inception_4c/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/3x3_reduce" | |
| name: "inception_4c/3x3_reduce/bn" | |
| top: "inception_4c/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4c/3x3_reduce/bn" | |
| top: "inception_4c/3x3_reduce/bn/sc" | |
| name: "inception_4c/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/3x3_reduce/bn/sc" | |
| top: "inception_4c/3x3_reduce/bn/sc" | |
| name: "inception_4c/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4c/3x3_reduce/bn/sc" | |
| top: "inception_4c/3x3" | |
| name: "inception_4c/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/3x3" | |
| name: "inception_4c/3x3/bn" | |
| top: "inception_4c/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4c/3x3/bn" | |
| top: "inception_4c/3x3/bn/sc" | |
| name: "inception_4c/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/3x3/bn/sc" | |
| top: "inception_4c/3x3/bn/sc" | |
| name: "inception_4c/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4b/output" | |
| top: "inception_4c/double3x3_reduce" | |
| name: "inception_4c/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3_reduce" | |
| name: "inception_4c/double3x3_reduce/bn" | |
| top: "inception_4c/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3_reduce/bn" | |
| top: "inception_4c/double3x3_reduce/bn/sc" | |
| name: "inception_4c/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3_reduce/bn/sc" | |
| top: "inception_4c/double3x3_reduce/bn/sc" | |
| name: "inception_4c/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3_reduce/bn/sc" | |
| top: "inception_4c/double3x3a" | |
| name: "inception_4c/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3a" | |
| name: "inception_4c/double3x3a/bn" | |
| top: "inception_4c/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3a/bn" | |
| top: "inception_4c/double3x3a/bn/sc" | |
| name: "inception_4c/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3a/bn/sc" | |
| top: "inception_4c/double3x3a/bn/sc" | |
| name: "inception_4c/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3a/bn/sc" | |
| top: "inception_4c/double3x3b" | |
| name: "inception_4c/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3b" | |
| name: "inception_4c/double3x3b/bn" | |
| top: "inception_4c/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3b/bn" | |
| top: "inception_4c/double3x3b/bn/sc" | |
| name: "inception_4c/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/double3x3b/bn/sc" | |
| top: "inception_4c/double3x3b/bn/sc" | |
| name: "inception_4c/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4b/output" | |
| top: "inception_4c/pool" | |
| name: "inception_4c/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/pool" | |
| top: "inception_4c/pool_proj" | |
| name: "inception_4c/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/pool_proj" | |
| name: "inception_4c/pool_proj/bn" | |
| top: "inception_4c/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4c/pool_proj/bn" | |
| top: "inception_4c/pool_proj/bn/sc" | |
| name: "inception_4c/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4c/pool_proj/bn/sc" | |
| top: "inception_4c/pool_proj/bn/sc" | |
| name: "inception_4c/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4c/1x1/bn/sc" | |
| bottom: "inception_4c/3x3/bn/sc" | |
| bottom: "inception_4c/double3x3b/bn/sc" | |
| bottom: "inception_4c/pool_proj/bn/sc" | |
| top: "inception_4c/output" | |
| name: "inception_4c/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_4c/output" | |
| top: "inception_4d/1x1" | |
| name: "inception_4d/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/1x1" | |
| name: "inception_4d/1x1/bn" | |
| top: "inception_4d/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4d/1x1/bn" | |
| top: "inception_4d/1x1/bn/sc" | |
| name: "inception_4d/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/1x1/bn/sc" | |
| top: "inception_4d/1x1/bn/sc" | |
| name: "inception_4d/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4c/output" | |
| top: "inception_4d/3x3_reduce" | |
| name: "inception_4d/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/3x3_reduce" | |
| name: "inception_4d/3x3_reduce/bn" | |
| top: "inception_4d/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4d/3x3_reduce/bn" | |
| top: "inception_4d/3x3_reduce/bn/sc" | |
| name: "inception_4d/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/3x3_reduce/bn/sc" | |
| top: "inception_4d/3x3_reduce/bn/sc" | |
| name: "inception_4d/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4d/3x3_reduce/bn/sc" | |
| top: "inception_4d/3x3" | |
| name: "inception_4d/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/3x3" | |
| name: "inception_4d/3x3/bn" | |
| top: "inception_4d/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4d/3x3/bn" | |
| top: "inception_4d/3x3/bn/sc" | |
| name: "inception_4d/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/3x3/bn/sc" | |
| top: "inception_4d/3x3/bn/sc" | |
| name: "inception_4d/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4c/output" | |
| top: "inception_4d/double3x3_reduce" | |
| name: "inception_4d/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3_reduce" | |
| name: "inception_4d/double3x3_reduce/bn" | |
| top: "inception_4d/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3_reduce/bn" | |
| top: "inception_4d/double3x3_reduce/bn/sc" | |
| name: "inception_4d/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3_reduce/bn/sc" | |
| top: "inception_4d/double3x3_reduce/bn/sc" | |
| name: "inception_4d/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3_reduce/bn/sc" | |
| top: "inception_4d/double3x3a" | |
| name: "inception_4d/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3a" | |
| name: "inception_4d/double3x3a/bn" | |
| top: "inception_4d/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3a/bn" | |
| top: "inception_4d/double3x3a/bn/sc" | |
| name: "inception_4d/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3a/bn/sc" | |
| top: "inception_4d/double3x3a/bn/sc" | |
| name: "inception_4d/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3a/bn/sc" | |
| top: "inception_4d/double3x3b" | |
| name: "inception_4d/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3b" | |
| name: "inception_4d/double3x3b/bn" | |
| top: "inception_4d/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3b/bn" | |
| top: "inception_4d/double3x3b/bn/sc" | |
| name: "inception_4d/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/double3x3b/bn/sc" | |
| top: "inception_4d/double3x3b/bn/sc" | |
| name: "inception_4d/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4c/output" | |
| top: "inception_4d/pool" | |
| name: "inception_4d/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/pool" | |
| top: "inception_4d/pool_proj" | |
| name: "inception_4d/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/pool_proj" | |
| name: "inception_4d/pool_proj/bn" | |
| top: "inception_4d/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4d/pool_proj/bn" | |
| top: "inception_4d/pool_proj/bn/sc" | |
| name: "inception_4d/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4d/pool_proj/bn/sc" | |
| top: "inception_4d/pool_proj/bn/sc" | |
| name: "inception_4d/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4d/1x1/bn/sc" | |
| bottom: "inception_4d/3x3/bn/sc" | |
| bottom: "inception_4d/double3x3b/bn/sc" | |
| bottom: "inception_4d/pool_proj/bn/sc" | |
| top: "inception_4d/output" | |
| name: "inception_4d/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_4d/output" | |
| top: "inception_4e/3x3_reduce" | |
| name: "inception_4e/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3_reduce" | |
| name: "inception_4e/3x3_reduce/bn" | |
| top: "inception_4e/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3_reduce/bn" | |
| top: "inception_4e/3x3_reduce/bn/sc" | |
| name: "inception_4e/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3_reduce/bn/sc" | |
| top: "inception_4e/3x3_reduce/bn/sc" | |
| name: "inception_4e/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3_reduce/bn/sc" | |
| top: "inception_4e/3x3" | |
| name: "inception_4e/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3" | |
| name: "inception_4e/3x3/bn" | |
| top: "inception_4e/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3/bn" | |
| top: "inception_4e/3x3/bn/sc" | |
| name: "inception_4e/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3/bn/sc" | |
| top: "inception_4e/3x3/bn/sc" | |
| name: "inception_4e/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4d/output" | |
| top: "inception_4e/double3x3_reduce" | |
| name: "inception_4e/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3_reduce" | |
| name: "inception_4e/double3x3_reduce/bn" | |
| top: "inception_4e/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3_reduce/bn" | |
| top: "inception_4e/double3x3_reduce/bn/sc" | |
| name: "inception_4e/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3_reduce/bn/sc" | |
| top: "inception_4e/double3x3_reduce/bn/sc" | |
| name: "inception_4e/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3_reduce/bn/sc" | |
| top: "inception_4e/double3x3a" | |
| name: "inception_4e/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3a" | |
| name: "inception_4e/double3x3a/bn" | |
| top: "inception_4e/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3a/bn" | |
| top: "inception_4e/double3x3a/bn/sc" | |
| name: "inception_4e/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3a/bn/sc" | |
| top: "inception_4e/double3x3a/bn/sc" | |
| name: "inception_4e/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3a/bn/sc" | |
| top: "inception_4e/double3x3b" | |
| name: "inception_4e/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3b" | |
| name: "inception_4e/double3x3b/bn" | |
| top: "inception_4e/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3b/bn" | |
| top: "inception_4e/double3x3b/bn/sc" | |
| name: "inception_4e/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/double3x3b/bn/sc" | |
| top: "inception_4e/double3x3b/bn/sc" | |
| name: "inception_4e/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4d/output" | |
| top: "inception_4e/pool" | |
| name: "inception_4e/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4e/3x3/bn/sc" | |
| bottom: "inception_4e/double3x3b/bn/sc" | |
| bottom: "inception_4e/pool" | |
| top: "inception_4e/output" | |
| name: "inception_4e/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_4e/output" | |
| top: "inception_5a/1x1" | |
| name: "inception_5a/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 352 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/1x1" | |
| name: "inception_5a/1x1/bn" | |
| top: "inception_5a/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5a/1x1/bn" | |
| top: "inception_5a/1x1/bn/sc" | |
| name: "inception_5a/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/1x1/bn/sc" | |
| top: "inception_5a/1x1/bn/sc" | |
| name: "inception_5a/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4e/output" | |
| top: "inception_5a/3x3_reduce" | |
| name: "inception_5a/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/3x3_reduce" | |
| name: "inception_5a/3x3_reduce/bn" | |
| top: "inception_5a/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5a/3x3_reduce/bn" | |
| top: "inception_5a/3x3_reduce/bn/sc" | |
| name: "inception_5a/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/3x3_reduce/bn/sc" | |
| top: "inception_5a/3x3_reduce/bn/sc" | |
| name: "inception_5a/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5a/3x3_reduce/bn/sc" | |
| top: "inception_5a/3x3" | |
| name: "inception_5a/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/3x3" | |
| name: "inception_5a/3x3/bn" | |
| top: "inception_5a/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5a/3x3/bn" | |
| top: "inception_5a/3x3/bn/sc" | |
| name: "inception_5a/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/3x3/bn/sc" | |
| top: "inception_5a/3x3/bn/sc" | |
| name: "inception_5a/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4e/output" | |
| top: "inception_5a/double3x3_reduce" | |
| name: "inception_5a/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3_reduce" | |
| name: "inception_5a/double3x3_reduce/bn" | |
| top: "inception_5a/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3_reduce/bn" | |
| top: "inception_5a/double3x3_reduce/bn/sc" | |
| name: "inception_5a/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3_reduce/bn/sc" | |
| top: "inception_5a/double3x3_reduce/bn/sc" | |
| name: "inception_5a/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3_reduce/bn/sc" | |
| top: "inception_5a/double3x3a" | |
| name: "inception_5a/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3a" | |
| name: "inception_5a/double3x3a/bn" | |
| top: "inception_5a/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3a/bn" | |
| top: "inception_5a/double3x3a/bn/sc" | |
| name: "inception_5a/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3a/bn/sc" | |
| top: "inception_5a/double3x3a/bn/sc" | |
| name: "inception_5a/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3a/bn/sc" | |
| top: "inception_5a/double3x3b" | |
| name: "inception_5a/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3b" | |
| name: "inception_5a/double3x3b/bn" | |
| top: "inception_5a/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3b/bn" | |
| top: "inception_5a/double3x3b/bn/sc" | |
| name: "inception_5a/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/double3x3b/bn/sc" | |
| top: "inception_5a/double3x3b/bn/sc" | |
| name: "inception_5a/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_4e/output" | |
| top: "inception_5a/pool" | |
| name: "inception_5a/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/pool" | |
| top: "inception_5a/pool_proj" | |
| name: "inception_5a/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/pool_proj" | |
| name: "inception_5a/pool_proj/bn" | |
| top: "inception_5a/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5a/pool_proj/bn" | |
| top: "inception_5a/pool_proj/bn/sc" | |
| name: "inception_5a/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5a/pool_proj/bn/sc" | |
| top: "inception_5a/pool_proj/bn/sc" | |
| name: "inception_5a/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5a/1x1/bn/sc" | |
| bottom: "inception_5a/3x3/bn/sc" | |
| bottom: "inception_5a/double3x3b/bn/sc" | |
| bottom: "inception_5a/pool_proj/bn/sc" | |
| top: "inception_5a/output" | |
| name: "inception_5a/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_5a/output" | |
| top: "inception_5b/1x1" | |
| name: "inception_5b/1x1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 352 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/1x1" | |
| name: "inception_5b/1x1/bn" | |
| top: "inception_5b/1x1/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5b/1x1/bn" | |
| top: "inception_5b/1x1/bn/sc" | |
| name: "inception_5b/1x1/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/1x1/bn/sc" | |
| top: "inception_5b/1x1/bn/sc" | |
| name: "inception_5b/1x1/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5a/output" | |
| top: "inception_5b/3x3_reduce" | |
| name: "inception_5b/3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/3x3_reduce" | |
| name: "inception_5b/3x3_reduce/bn" | |
| top: "inception_5b/3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5b/3x3_reduce/bn" | |
| top: "inception_5b/3x3_reduce/bn/sc" | |
| name: "inception_5b/3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/3x3_reduce/bn/sc" | |
| top: "inception_5b/3x3_reduce/bn/sc" | |
| name: "inception_5b/3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5b/3x3_reduce/bn/sc" | |
| top: "inception_5b/3x3" | |
| name: "inception_5b/3x3" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/3x3" | |
| name: "inception_5b/3x3/bn" | |
| top: "inception_5b/3x3/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5b/3x3/bn" | |
| top: "inception_5b/3x3/bn/sc" | |
| name: "inception_5b/3x3/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/3x3/bn/sc" | |
| top: "inception_5b/3x3/bn/sc" | |
| name: "inception_5b/3x3/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5a/output" | |
| top: "inception_5b/double3x3_reduce" | |
| name: "inception_5b/double3x3_reduce" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3_reduce" | |
| name: "inception_5b/double3x3_reduce/bn" | |
| top: "inception_5b/double3x3_reduce/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3_reduce/bn" | |
| top: "inception_5b/double3x3_reduce/bn/sc" | |
| name: "inception_5b/double3x3_reduce/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3_reduce/bn/sc" | |
| top: "inception_5b/double3x3_reduce/bn/sc" | |
| name: "inception_5b/double3x3_reduce/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3_reduce/bn/sc" | |
| top: "inception_5b/double3x3a" | |
| name: "inception_5b/double3x3a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3a" | |
| name: "inception_5b/double3x3a/bn" | |
| top: "inception_5b/double3x3a/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3a/bn" | |
| top: "inception_5b/double3x3a/bn/sc" | |
| name: "inception_5b/double3x3a/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3a/bn/sc" | |
| top: "inception_5b/double3x3a/bn/sc" | |
| name: "inception_5b/double3x3a/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3a/bn/sc" | |
| top: "inception_5b/double3x3b" | |
| name: "inception_5b/double3x3b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3b" | |
| name: "inception_5b/double3x3b/bn" | |
| top: "inception_5b/double3x3b/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3b/bn" | |
| top: "inception_5b/double3x3b/bn/sc" | |
| name: "inception_5b/double3x3b/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/double3x3b/bn/sc" | |
| top: "inception_5b/double3x3b/bn/sc" | |
| name: "inception_5b/double3x3b/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5a/output" | |
| top: "inception_5b/pool" | |
| name: "inception_5b/pool" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/pool" | |
| top: "inception_5b/pool_proj" | |
| name: "inception_5b/pool_proj" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/pool_proj" | |
| name: "inception_5b/pool_proj/bn" | |
| top: "inception_5b/pool_proj/bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "inception_5b/pool_proj/bn" | |
| top: "inception_5b/pool_proj/bn/sc" | |
| name: "inception_5b/pool_proj/bn/sc" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "inception_5b/pool_proj/bn/sc" | |
| top: "inception_5b/pool_proj/bn/sc" | |
| name: "inception_5b/pool_proj/bn/sc/relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "inception_5b/1x1/bn/sc" | |
| bottom: "inception_5b/3x3/bn/sc" | |
| bottom: "inception_5b/double3x3b/bn/sc" | |
| bottom: "inception_5b/pool_proj/bn/sc" | |
| top: "inception_5b/output" | |
| name: "inception_5b/output" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "inception_5b/output" | |
| top: "pool5/7x7_s1" | |
| name: "pool5/7x7_s1" | |
| type: "Pooling" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 7 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "pool5/7x7_s1" | |
| top: "loss3/classifier" | |
| name: "loss3/classifier" | |
| type: "InnerProduct" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 1000 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layers { | |
| bottom: "loss3/classifier" | |
| top: "prob" | |
| name: "prob" | |
| type: "Softmax" | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment