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szm-R/deploy_inception_v4.prototxt

Created July 9, 2017 04:10
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deploy_inception_v4.prototxt
name: "Inception_v4"
input: "data"
input_shape {
dim: 1
dim: 3
dim: 299
dim: 299
}
layer {
name: "conv1_3x3_s2"
type: "Convolution"
bottom: "data"
top: "conv1_3x3_s2"
convolution_param {
bias_term: false
num_output: 32
pad: 0
kernel_size: 3
stride: 2
}
}
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_s2_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"
convolution_param {
bias_term: false
num_output: 32
pad: 0
kernel_size: 3
stride: 1
}
}
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_s1_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"
convolution_param {
bias_term: false
num_output: 64
pad: 1
kernel_size: 3
stride: 1
}
}
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_s1_relu"
type: "ReLU"
bottom: "conv3_3x3_s1"
top: "conv3_3x3_s1"
}
layer {
name: "inception_stem1_3x3_s2"
type: "Convolution"
bottom: "conv3_3x3_s1"
top: "inception_stem1_3x3_s2"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_stem1_3x3_s2_bn"
type: "BatchNorm"
bottom: "inception_stem1_3x3_s2"
top: "inception_stem1_3x3_s2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem1_3x3_s2_scale"
type: "Scale"
bottom: "inception_stem1_3x3_s2"
top: "inception_stem1_3x3_s2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem1_3x3_s2_relu"
type: "ReLU"
bottom: "inception_stem1_3x3_s2"
top: "inception_stem1_3x3_s2"
}
layer {
name: "inception_stem1_pool"
type: "Pooling"
bottom: "conv3_3x3_s1"
top: "inception_stem1_pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_stem1"
type: "Concat"
bottom: "inception_stem1_pool"
bottom: "inception_stem1_3x3_s2"
top: "inception_stem1"
}
layer {
name: "inception_stem2_3x3_reduce"
type: "Convolution"
bottom: "inception_stem1"
top: "inception_stem2_3x3_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_stem2_3x3_reduce_bn"
type: "BatchNorm"
bottom: "inception_stem2_3x3_reduce"
top: "inception_stem2_3x3_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem2_3x3_reduce_scale"
type: "Scale"
bottom: "inception_stem2_3x3_reduce"
top: "inception_stem2_3x3_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem2_3x3_reduce_relu"
type: "ReLU"
bottom: "inception_stem2_3x3_reduce"
top: "inception_stem2_3x3_reduce"
}
layer {
name: "inception_stem2_3x3"
type: "Convolution"
bottom: "inception_stem2_3x3_reduce"
top: "inception_stem2_3x3"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_stem2_3x3_bn"
type: "BatchNorm"
bottom: "inception_stem2_3x3"
top: "inception_stem2_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem2_3x3_scale"
type: "Scale"
bottom: "inception_stem2_3x3"
top: "inception_stem2_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem2_3x3_relu"
type: "ReLU"
bottom: "inception_stem2_3x3"
top: "inception_stem2_3x3"
}
layer {
name: "inception_stem2_1x7_reduce"
type: "Convolution"
bottom: "inception_stem1"
top: "inception_stem2_1x7_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_stem2_1x7_reduce_bn"
type: "BatchNorm"
bottom: "inception_stem2_1x7_reduce"
top: "inception_stem2_1x7_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem2_1x7_reduce_scale"
type: "Scale"
bottom: "inception_stem2_1x7_reduce"
top: "inception_stem2_1x7_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem2_1x7_reduce_relu"
type: "ReLU"
bottom: "inception_stem2_1x7_reduce"
top: "inception_stem2_1x7_reduce"
}
layer {
name: "inception_stem2_1x7"
type: "Convolution"
bottom: "inception_stem2_1x7_reduce"
top: "inception_stem2_1x7"
convolution_param {
bias_term: false
num_output: 64
stride: 1
pad_h: 0
pad_w: 3
kernel_h: 1
kernel_w: 7
}
}
layer {
name: "inception_stem2_1x7_bn"
type: "BatchNorm"
bottom: "inception_stem2_1x7"
top: "inception_stem2_1x7"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem2_1x7_scale"
type: "Scale"
bottom: "inception_stem2_1x7"
top: "inception_stem2_1x7"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem2_1x7_relu"
type: "ReLU"
bottom: "inception_stem2_1x7"
top: "inception_stem2_1x7"
}
layer {
name: "inception_stem2_7x1"
type: "Convolution"
bottom: "inception_stem2_1x7"
top: "inception_stem2_7x1"
convolution_param {
bias_term: false
num_output: 64
stride: 1
pad_h: 3
pad_w: 0
kernel_h: 7
kernel_w: 1
}
}
layer {
name: "inception_stem2_7x1_bn"
type: "BatchNorm"
bottom: "inception_stem2_7x1"
top: "inception_stem2_7x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem2_7x1_scale"
type: "Scale"
bottom: "inception_stem2_7x1"
top: "inception_stem2_7x1"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem2_7x1_relu"
type: "ReLU"
bottom: "inception_stem2_7x1"
top: "inception_stem2_7x1"
}
layer {
name: "inception_stem2_3x3_2"
type: "Convolution"
bottom: "inception_stem2_7x1"
top: "inception_stem2_3x3_2"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_stem2_3x3_2_bn"
type: "BatchNorm"
bottom: "inception_stem2_3x3_2"
top: "inception_stem2_3x3_2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem2_3x3_2_scale"
type: "Scale"
bottom: "inception_stem2_3x3_2"
top: "inception_stem2_3x3_2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem2_3x3_2_relu"
type: "ReLU"
bottom: "inception_stem2_3x3_2"
top: "inception_stem2_3x3_2"
}
layer {
name: "inception_stem2"
type: "Concat"
bottom: "inception_stem2_3x3"
bottom: "inception_stem2_3x3_2"
top: "inception_stem2"
}
layer {
name: "inception_stem3_3x3_s2"
type: "Convolution"
bottom: "inception_stem2"
top: "inception_stem3_3x3_s2"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_stem3_3x3_s2_bn"
type: "BatchNorm"
bottom: "inception_stem3_3x3_s2"
top: "inception_stem3_3x3_s2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_stem3_3x3_s2_scale"
type: "Scale"
bottom: "inception_stem3_3x3_s2"
top: "inception_stem3_3x3_s2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_stem3_3x3_s2_relu"
type: "ReLU"
bottom: "inception_stem3_3x3_s2"
top: "inception_stem3_3x3_s2"
}
layer {
name: "inception_stem3_pool"
type: "Pooling"
bottom: "inception_stem2"
top: "inception_stem3_pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_stem3"
type: "Concat"
bottom: "inception_stem3_3x3_s2"
bottom: "inception_stem3_pool"
top: "inception_stem3"
}
layer {
name: "inception_a1_1x1_2"
type: "Convolution"
bottom: "inception_stem3"
top: "inception_a1_1x1_2"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a1_1x1_2_bn"
type: "BatchNorm"
bottom: "inception_a1_1x1_2"
top: "inception_a1_1x1_2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a1_1x1_2_scale"
type: "Scale"
bottom: "inception_a1_1x1_2"
top: "inception_a1_1x1_2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a1_1x1_2_relu"
type: "ReLU"
bottom: "inception_a1_1x1_2"
top: "inception_a1_1x1_2"
}
layer {
name: "inception_a1_3x3_reduce"
type: "Convolution"
bottom: "inception_stem3"
top: "inception_a1_3x3_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
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"
type: "Convolution"
bottom: "inception_a1_3x3_reduce"
top: "inception_a1_3x3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a1_3x3_bn"
type: "BatchNorm"
bottom: "inception_a1_3x3"
top: "inception_a1_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a1_3x3_scale"
type: "Scale"
bottom: "inception_a1_3x3"
top: "inception_a1_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a1_3x3_relu"
type: "ReLU"
bottom: "inception_a1_3x3"
top: "inception_a1_3x3"
}
layer {
name: "inception_a1_3x3_2_reduce"
type: "Convolution"
bottom: "inception_stem3"
top: "inception_a1_3x3_2_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a1_3x3_2_reduce_bn"
type: "BatchNorm"
bottom: "inception_a1_3x3_2_reduce"
top: "inception_a1_3x3_2_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a1_3x3_2_reduce_scale"
type: "Scale"
bottom: "inception_a1_3x3_2_reduce"
top: "inception_a1_3x3_2_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a1_3x3_2_reduce_relu"
type: "ReLU"
bottom: "inception_a1_3x3_2_reduce"
top: "inception_a1_3x3_2_reduce"
}
layer {
name: "inception_a1_3x3_2"
type: "Convolution"
bottom: "inception_a1_3x3_2_reduce"
top: "inception_a1_3x3_2"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
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_3x3_3"
type: "Convolution"
bottom: "inception_a1_3x3_2"
top: "inception_a1_3x3_3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a1_3x3_3_bn"
type: "BatchNorm"
bottom: "inception_a1_3x3_3"
top: "inception_a1_3x3_3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a1_3x3_3_scale"
type: "Scale"
bottom: "inception_a1_3x3_3"
top: "inception_a1_3x3_3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a1_3x3_3_relu"
type: "ReLU"
bottom: "inception_a1_3x3_3"
top: "inception_a1_3x3_3"
}
layer {
name: "inception_a1_pool_ave"
type: "Pooling"
bottom: "inception_stem3"
top: "inception_a1_pool_ave"
pooling_param {
pool: AVE
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_a1_1x1"
type: "Convolution"
bottom: "inception_a1_pool_ave"
top: "inception_a1_1x1"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
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_concat"
type: "Concat"
bottom: "inception_a1_1x1_2"
bottom: "inception_a1_3x3"
bottom: "inception_a1_3x3_3"
bottom: "inception_a1_1x1"
top: "inception_a1_concat"
}
layer {
name: "inception_a2_1x1_2"
type: "Convolution"
bottom: "inception_a1_concat"
top: "inception_a2_1x1_2"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a2_1x1_2_bn"
type: "BatchNorm"
bottom: "inception_a2_1x1_2"
top: "inception_a2_1x1_2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a2_1x1_2_scale"
type: "Scale"
bottom: "inception_a2_1x1_2"
top: "inception_a2_1x1_2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a2_1x1_2_relu"
type: "ReLU"
bottom: "inception_a2_1x1_2"
top: "inception_a2_1x1_2"
}
layer {
name: "inception_a2_3x3_reduce"
type: "Convolution"
bottom: "inception_a1_concat"
top: "inception_a2_3x3_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
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"
type: "Convolution"
bottom: "inception_a2_3x3_reduce"
top: "inception_a2_3x3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a2_3x3_bn"
type: "BatchNorm"
bottom: "inception_a2_3x3"
top: "inception_a2_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a2_3x3_scale"
type: "Scale"
bottom: "inception_a2_3x3"
top: "inception_a2_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a2_3x3_relu"
type: "ReLU"
bottom: "inception_a2_3x3"
top: "inception_a2_3x3"
}
layer {
name: "inception_a2_3x3_2_reduce"
type: "Convolution"
bottom: "inception_a1_concat"
top: "inception_a2_3x3_2_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a2_3x3_2_reduce_bn"
type: "BatchNorm"
bottom: "inception_a2_3x3_2_reduce"
top: "inception_a2_3x3_2_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a2_3x3_2_reduce_scale"
type: "Scale"
bottom: "inception_a2_3x3_2_reduce"
top: "inception_a2_3x3_2_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a2_3x3_2_reduce_relu"
type: "ReLU"
bottom: "inception_a2_3x3_2_reduce"
top: "inception_a2_3x3_2_reduce"
}
layer {
name: "inception_a2_3x3_2"
type: "Convolution"
bottom: "inception_a2_3x3_2_reduce"
top: "inception_a2_3x3_2"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
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_3x3_3"
type: "Convolution"
bottom: "inception_a2_3x3_2"
top: "inception_a2_3x3_3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a2_3x3_3_bn"
type: "BatchNorm"
bottom: "inception_a2_3x3_3"
top: "inception_a2_3x3_3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a2_3x3_3_scale"
type: "Scale"
bottom: "inception_a2_3x3_3"
top: "inception_a2_3x3_3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a2_3x3_3_relu"
type: "ReLU"
bottom: "inception_a2_3x3_3"
top: "inception_a2_3x3_3"
}
layer {
name: "inception_a2_pool_ave"
type: "Pooling"
bottom: "inception_a1_concat"
top: "inception_a2_pool_ave"
pooling_param {
pool: AVE
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_a2_1x1"
type: "Convolution"
bottom: "inception_a2_pool_ave"
top: "inception_a2_1x1"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
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_concat"
type: "Concat"
bottom: "inception_a2_1x1_2"
bottom: "inception_a2_3x3"
bottom: "inception_a2_3x3_3"
bottom: "inception_a2_1x1"
top: "inception_a2_concat"
}
layer {
name: "inception_a3_1x1_2"
type: "Convolution"
bottom: "inception_a2_concat"
top: "inception_a3_1x1_2"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a3_1x1_2_bn"
type: "BatchNorm"
bottom: "inception_a3_1x1_2"
top: "inception_a3_1x1_2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a3_1x1_2_scale"
type: "Scale"
bottom: "inception_a3_1x1_2"
top: "inception_a3_1x1_2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a3_1x1_2_relu"
type: "ReLU"
bottom: "inception_a3_1x1_2"
top: "inception_a3_1x1_2"
}
layer {
name: "inception_a3_3x3_reduce"
type: "Convolution"
bottom: "inception_a2_concat"
top: "inception_a3_3x3_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
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"
type: "Convolution"
bottom: "inception_a3_3x3_reduce"
top: "inception_a3_3x3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a3_3x3_bn"
type: "BatchNorm"
bottom: "inception_a3_3x3"
top: "inception_a3_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a3_3x3_scale"
type: "Scale"
bottom: "inception_a3_3x3"
top: "inception_a3_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a3_3x3_relu"
type: "ReLU"
bottom: "inception_a3_3x3"
top: "inception_a3_3x3"
}
layer {
name: "inception_a3_3x3_2_reduce"
type: "Convolution"
bottom: "inception_a2_concat"
top: "inception_a3_3x3_2_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a3_3x3_2_reduce_bn"
type: "BatchNorm"
bottom: "inception_a3_3x3_2_reduce"
top: "inception_a3_3x3_2_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a3_3x3_2_reduce_scale"
type: "Scale"
bottom: "inception_a3_3x3_2_reduce"
top: "inception_a3_3x3_2_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a3_3x3_2_reduce_relu"
type: "ReLU"
bottom: "inception_a3_3x3_2_reduce"
top: "inception_a3_3x3_2_reduce"
}
layer {
name: "inception_a3_3x3_2"
type: "Convolution"
bottom: "inception_a3_3x3_2_reduce"
top: "inception_a3_3x3_2"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
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_3x3_3"
type: "Convolution"
bottom: "inception_a3_3x3_2"
top: "inception_a3_3x3_3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a3_3x3_3_bn"
type: "BatchNorm"
bottom: "inception_a3_3x3_3"
top: "inception_a3_3x3_3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a3_3x3_3_scale"
type: "Scale"
bottom: "inception_a3_3x3_3"
top: "inception_a3_3x3_3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a3_3x3_3_relu"
type: "ReLU"
bottom: "inception_a3_3x3_3"
top: "inception_a3_3x3_3"
}
layer {
name: "inception_a3_pool_ave"
type: "Pooling"
bottom: "inception_a2_concat"
top: "inception_a3_pool_ave"
pooling_param {
pool: AVE
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_a3_1x1"
type: "Convolution"
bottom: "inception_a3_pool_ave"
top: "inception_a3_1x1"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
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_concat"
type: "Concat"
bottom: "inception_a3_1x1_2"
bottom: "inception_a3_3x3"
bottom: "inception_a3_3x3_3"
bottom: "inception_a3_1x1"
top: "inception_a3_concat"
}
layer {
name: "inception_a4_1x1_2"
type: "Convolution"
bottom: "inception_a3_concat"
top: "inception_a4_1x1_2"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a4_1x1_2_bn"
type: "BatchNorm"
bottom: "inception_a4_1x1_2"
top: "inception_a4_1x1_2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a4_1x1_2_scale"
type: "Scale"
bottom: "inception_a4_1x1_2"
top: "inception_a4_1x1_2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a4_1x1_2_relu"
type: "ReLU"
bottom: "inception_a4_1x1_2"
top: "inception_a4_1x1_2"
}
layer {
name: "inception_a4_3x3_reduce"
type: "Convolution"
bottom: "inception_a3_concat"
top: "inception_a4_3x3_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a4_3x3_reduce_bn"
type: "BatchNorm"
bottom: "inception_a4_3x3_reduce"
top: "inception_a4_3x3_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a4_3x3_reduce_scale"
type: "Scale"
bottom: "inception_a4_3x3_reduce"
top: "inception_a4_3x3_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a4_3x3_reduce_relu"
type: "ReLU"
bottom: "inception_a4_3x3_reduce"
top: "inception_a4_3x3_reduce"
}
layer {
name: "inception_a4_3x3"
type: "Convolution"
bottom: "inception_a4_3x3_reduce"
top: "inception_a4_3x3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a4_3x3_bn"
type: "BatchNorm"
bottom: "inception_a4_3x3"
top: "inception_a4_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a4_3x3_scale"
type: "Scale"
bottom: "inception_a4_3x3"
top: "inception_a4_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a4_3x3_relu"
type: "ReLU"
bottom: "inception_a4_3x3"
top: "inception_a4_3x3"
}
layer {
name: "inception_a4_3x3_2_reduce"
type: "Convolution"
bottom: "inception_a3_concat"
top: "inception_a4_3x3_2_reduce"
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a4_3x3_2_reduce_bn"
type: "BatchNorm"
bottom: "inception_a4_3x3_2_reduce"
top: "inception_a4_3x3_2_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a4_3x3_2_reduce_scale"
type: "Scale"
bottom: "inception_a4_3x3_2_reduce"
top: "inception_a4_3x3_2_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a4_3x3_2_reduce_relu"
type: "ReLU"
bottom: "inception_a4_3x3_2_reduce"
top: "inception_a4_3x3_2_reduce"
}
layer {
name: "inception_a4_3x3_2"
type: "Convolution"
bottom: "inception_a4_3x3_2_reduce"
top: "inception_a4_3x3_2"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a4_3x3_2_bn"
type: "BatchNorm"
bottom: "inception_a4_3x3_2"
top: "inception_a4_3x3_2"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a4_3x3_2_scale"
type: "Scale"
bottom: "inception_a4_3x3_2"
top: "inception_a4_3x3_2"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a4_3x3_2_relu"
type: "ReLU"
bottom: "inception_a4_3x3_2"
top: "inception_a4_3x3_2"
}
layer {
name: "inception_a4_3x3_3"
type: "Convolution"
bottom: "inception_a4_3x3_2"
top: "inception_a4_3x3_3"
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "inception_a4_3x3_3_bn"
type: "BatchNorm"
bottom: "inception_a4_3x3_3"
top: "inception_a4_3x3_3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a4_3x3_3_scale"
type: "Scale"
bottom: "inception_a4_3x3_3"
top: "inception_a4_3x3_3"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a4_3x3_3_relu"
type: "ReLU"
bottom: "inception_a4_3x3_3"
top: "inception_a4_3x3_3"
}
layer {
name: "inception_a4_pool_ave"
type: "Pooling"
bottom: "inception_a3_concat"
top: "inception_a4_pool_ave"
pooling_param {
pool: AVE
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_a4_1x1"
type: "Convolution"
bottom: "inception_a4_pool_ave"
top: "inception_a4_1x1"
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_a4_1x1_bn"
type: "BatchNorm"
bottom: "inception_a4_1x1"
top: "inception_a4_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_a4_1x1_scale"
type: "Scale"
bottom: "inception_a4_1x1"
top: "inception_a4_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "inception_a4_1x1_relu"
type: "ReLU"
bottom: "inception_a4_1x1"
top: "inception_a4_1x1"
}
layer {
name: "inception_a4_concat"
type: "Concat"
bottom: "inception_a4_1x1_2"
bottom: "inception_a4_3x3"
bottom: "inception_a4_3x3_3"
bottom: "inception_a4_1x1"
top: "inception_a4_concat"
}
layer {
name: "reduction_a_3x3"
type: "Convolution"
bottom: "inception_a4_concat"
top: "reduction_a_3x3"
convolution_param {
bias_term: false
num_output: 384
pad: 0
kernel_size: 3
stride: 2
}
}
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_a4_concat"
top: "reduction_a_3x3_2_reduce"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 224
pad: 1
kernel_size: 3
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 256
pad: 0
kernel_size: 3
stride: 2
}
}
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_a4_concat"
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"
convolution_param {
bias_term: false
num_output: 384
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 256
stride: 1
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_2_reduce"
type: "Convolution"
bottom: "reduction_a_concat"
top: "inception_b1_7x1_2_reduce"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_b1_7x1_2_reduce_bn"
type: "BatchNorm"
bottom: "inception_b1_7x1_2_reduce"
top: "inception_b1_7x1_2_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_b1_7x1_2_reduce_scale"
type: "Scale"
bottom: "inception_b1_7x1_2_reduce"
top: "inception_b1_7x1_2_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_b1_7x1_2_reduce_relu"
type: "ReLU"
bottom: "inception_b1_7x1_2_reduce"
top: "inception_b1_7x1_2_reduce"
}
layer {
name: "inception_b1_7x1_2"
type: "Convolution"
bottom: "inception_b1_7x1_2_reduce"
top: "inception_b1_7x1_2"
convolution_param {
bias_term: false
num_output: 192
stride: 1
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 256
stride: 1
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"
convolution_param {
bias_term: false
num_output: 128
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 384
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 256
stride: 1
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_2_reduce"
type: "Convolution"
bottom: "inception_b1_concat"
top: "inception_b2_7x1_2_reduce"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_b2_7x1_2_reduce_bn"
type: "BatchNorm"
bottom: "inception_b2_7x1_2_reduce"
top: "inception_b2_7x1_2_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_b2_7x1_2_reduce_scale"
type: "Scale"
bottom: "inception_b2_7x1_2_reduce"
top: "inception_b2_7x1_2_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_b2_7x1_2_reduce_relu"
type: "ReLU"
bottom: "inception_b2_7x1_2_reduce"
top: "inception_b2_7x1_2_reduce"
}
layer {
name: "inception_b2_7x1_2"
type: "Convolution"
bottom: "inception_b2_7x1_2_reduce"
top: "inception_b2_7x1_2"
convolution_param {
bias_term: false
num_output: 192
stride: 1
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 256
stride: 1
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"
convolution_param {
bias_term: false
num_output: 128
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 384
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
}
}
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 256
stride: 1
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_2_reduce"
type: "Convolution"
bottom: "inception_b2_concat"
top: "inception_b3_7x1_2_reduce"
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "inception_b3_7x1_2_reduce_bn"
type: "BatchNorm"
bottom: "inception_b3_7x1_2_reduce"
top: "inception_b3_7x1_2_reduce"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "inception_b3_7x1_2_reduce_scale"
type: "Scale"
bottom: "inception_b3_7x1_2_reduce"
top: "inception_b3_7x1_2_reduce"
scale_param {
bias_term: true
}
}
layer {
name: "inception_b3_7x1_2_reduce_relu"
type: "ReLU"
bottom: "inception_b3_7x1_2_reduce"
top: "inception_b3_7x1_2_reduce"
}
layer {
name: "inception_b3_7x1_2"
type: "Convolution"
bottom: "inception_b3_7x1_2_reduce"
top: "inception_b3_7x1_2"
convolution_param {
bias_term: false
num_output: 192
stride: 1
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 224
stride: 1
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"
convolution_param {
bias_term: false
num_output: 256
stride: 1
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"
convolution_param {
bias_term: false
num_output: 128
pad: 0
kernel_size: 1
stride: 1
}
}
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"