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