name: "VGG_VOC0712_SSD_300x300_deploy"
|
layer {
|
name: "input"
|
type: "Input"
|
top: "data"
|
input_param {
|
shape {
|
dim: 1
|
dim: 3
|
dim: 300
|
dim: 300
|
}
|
}
|
}
|
layer {
|
name: "conv1_1"
|
type: "Convolution"
|
bottom: "data"
|
top: "conv1_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 64
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu1_1"
|
type: "ReLU"
|
bottom: "conv1_1"
|
top: "conv1_1"
|
}
|
layer {
|
name: "conv1_2"
|
type: "Convolution"
|
bottom: "conv1_1"
|
top: "conv1_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 64
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu1_2"
|
type: "ReLU"
|
bottom: "conv1_2"
|
top: "conv1_2"
|
}
|
layer {
|
name: "pool1"
|
type: "Pooling"
|
bottom: "conv1_2"
|
top: "pool1"
|
pooling_param {
|
pool: MAX
|
kernel_size: 2
|
stride: 2
|
}
|
}
|
layer {
|
name: "conv2_1"
|
type: "Convolution"
|
bottom: "pool1"
|
top: "conv2_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 128
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu2_1"
|
type: "ReLU"
|
bottom: "conv2_1"
|
top: "conv2_1"
|
}
|
layer {
|
name: "conv2_2"
|
type: "Convolution"
|
bottom: "conv2_1"
|
top: "conv2_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 128
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu2_2"
|
type: "ReLU"
|
bottom: "conv2_2"
|
top: "conv2_2"
|
}
|
layer {
|
name: "pool2"
|
type: "Pooling"
|
bottom: "conv2_2"
|
top: "pool2"
|
pooling_param {
|
pool: MAX
|
kernel_size: 2
|
stride: 2
|
}
|
}
|
layer {
|
name: "conv3_1"
|
type: "Convolution"
|
bottom: "pool2"
|
top: "conv3_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 256
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu3_1"
|
type: "ReLU"
|
bottom: "conv3_1"
|
top: "conv3_1"
|
}
|
layer {
|
name: "conv3_2"
|
type: "Convolution"
|
bottom: "conv3_1"
|
top: "conv3_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 256
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu3_2"
|
type: "ReLU"
|
bottom: "conv3_2"
|
top: "conv3_2"
|
}
|
layer {
|
name: "conv3_3"
|
type: "Convolution"
|
bottom: "conv3_2"
|
top: "conv3_3"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 256
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu3_3"
|
type: "ReLU"
|
bottom: "conv3_3"
|
top: "conv3_3"
|
}
|
layer {
|
name: "pool3"
|
type: "Pooling"
|
bottom: "conv3_3"
|
top: "pool3"
|
pooling_param {
|
pool: MAX
|
kernel_size: 2
|
stride: 2
|
}
|
}
|
layer {
|
name: "conv4_1"
|
type: "Convolution"
|
bottom: "pool3"
|
top: "conv4_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 512
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu4_1"
|
type: "ReLU"
|
bottom: "conv4_1"
|
top: "conv4_1"
|
}
|
layer {
|
name: "conv4_2"
|
type: "Convolution"
|
bottom: "conv4_1"
|
top: "conv4_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 512
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu4_2"
|
type: "ReLU"
|
bottom: "conv4_2"
|
top: "conv4_2"
|
}
|
layer {
|
name: "conv4_3"
|
type: "Convolution"
|
bottom: "conv4_2"
|
top: "conv4_3"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 512
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu4_3"
|
type: "ReLU"
|
bottom: "conv4_3"
|
top: "conv4_3"
|
}
|
layer {
|
name: "pool4"
|
type: "Pooling"
|
bottom: "conv4_3"
|
top: "pool4"
|
pooling_param {
|
pool: MAX
|
kernel_size: 2
|
stride: 2
|
}
|
}
|
layer {
|
name: "conv5_1"
|
type: "Convolution"
|
bottom: "pool4"
|
top: "conv5_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 512
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
dilation: 1
|
}
|
}
|
layer {
|
name: "relu5_1"
|
type: "ReLU"
|
bottom: "conv5_1"
|
top: "conv5_1"
|
}
|
layer {
|
name: "conv5_2"
|
type: "Convolution"
|
bottom: "conv5_1"
|
top: "conv5_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 512
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
dilation: 1
|
}
|
}
|
layer {
|
name: "relu5_2"
|
type: "ReLU"
|
bottom: "conv5_2"
|
top: "conv5_2"
|
}
|
layer {
|
name: "conv5_3"
|
type: "Convolution"
|
bottom: "conv5_2"
|
top: "conv5_3"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 512
|
pad: 1
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
dilation: 1
|
}
|
}
|
layer {
|
name: "relu5_3"
|
type: "ReLU"
|
bottom: "conv5_3"
|
top: "conv5_3"
|
}
|
layer {
|
name: "pool5"
|
type: "Pooling"
|
bottom: "conv5_3"
|
top: "pool5"
|
pooling_param {
|
pool: MAX
|
kernel_size: 3
|
stride: 1
|
pad: 1
|
}
|
}
|
layer {
|
name: "fc6"
|
type: "Convolution"
|
bottom: "pool5"
|
top: "fc6"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 1024
|
pad: 6
|
kernel_size: 3
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
dilation: 6
|
}
|
}
|
layer {
|
name: "relu6"
|
type: "ReLU"
|
bottom: "fc6"
|
top: "fc6"
|
}
|
layer {
|
name: "fc7"
|
type: "Convolution"
|
bottom: "fc6"
|
top: "fc7"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 1024
|
kernel_size: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "relu7"
|
type: "ReLU"
|
bottom: "fc7"
|
top: "fc7"
|
}
|
layer {
|
name: "conv6_1"
|
type: "Convolution"
|
bottom: "fc7"
|
top: "conv6_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 256
|
pad: 0
|
kernel_size: 1
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv6_1_relu"
|
type: "ReLU"
|
bottom: "conv6_1"
|
top: "conv6_1"
|
}
|
layer {
|
name: "conv6_2"
|
type: "Convolution"
|
bottom: "conv6_1"
|
top: "conv6_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 512
|
pad: 1
|
kernel_size: 3
|
stride: 2
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv6_2_relu"
|
type: "ReLU"
|
bottom: "conv6_2"
|
top: "conv6_2"
|
}
|
layer {
|
name: "conv7_1"
|
type: "Convolution"
|
bottom: "conv6_2"
|
top: "conv7_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 128
|
pad: 0
|
kernel_size: 1
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv7_1_relu"
|
type: "ReLU"
|
bottom: "conv7_1"
|
top: "conv7_1"
|
}
|
layer {
|
name: "conv7_2"
|
type: "Convolution"
|
bottom: "conv7_1"
|
top: "conv7_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 256
|
pad: 1
|
kernel_size: 3
|
stride: 2
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv7_2_relu"
|
type: "ReLU"
|
bottom: "conv7_2"
|
top: "conv7_2"
|
}
|
layer {
|
name: "conv8_1"
|
type: "Convolution"
|
bottom: "conv7_2"
|
top: "conv8_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 128
|
pad: 0
|
kernel_size: 1
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv8_1_relu"
|
type: "ReLU"
|
bottom: "conv8_1"
|
top: "conv8_1"
|
}
|
layer {
|
name: "conv8_2"
|
type: "Convolution"
|
bottom: "conv8_1"
|
top: "conv8_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 256
|
pad: 0
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv8_2_relu"
|
type: "ReLU"
|
bottom: "conv8_2"
|
top: "conv8_2"
|
}
|
layer {
|
name: "conv9_1"
|
type: "Convolution"
|
bottom: "conv8_2"
|
top: "conv9_1"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 128
|
pad: 0
|
kernel_size: 1
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv9_1_relu"
|
type: "ReLU"
|
bottom: "conv9_1"
|
top: "conv9_1"
|
}
|
layer {
|
name: "conv9_2"
|
type: "Convolution"
|
bottom: "conv9_1"
|
top: "conv9_2"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 256
|
pad: 0
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv9_2_relu"
|
type: "ReLU"
|
bottom: "conv9_2"
|
top: "conv9_2"
|
}
|
layer {
|
name: "conv4_3_norm"
|
type: "Normalize"
|
bottom: "conv4_3"
|
top: "conv4_3_norm"
|
norm_param {
|
across_spatial: false
|
scale_filler {
|
type: "constant"
|
value: 20
|
}
|
channel_shared: false
|
}
|
}
|
layer {
|
name: "conv4_3_norm_mbox_loc"
|
type: "Convolution"
|
bottom: "conv4_3_norm"
|
top: "conv4_3_norm_mbox_loc"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 16
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv4_3_norm_mbox_loc_perm"
|
type: "Permute"
|
bottom: "conv4_3_norm_mbox_loc"
|
top: "conv4_3_norm_mbox_loc_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv4_3_norm_mbox_loc_flat"
|
type: "Flatten"
|
bottom: "conv4_3_norm_mbox_loc_perm"
|
top: "conv4_3_norm_mbox_loc_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv4_3_norm_mbox_conf"
|
type: "Convolution"
|
bottom: "conv4_3_norm"
|
top: "conv4_3_norm_mbox_conf"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 84
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv4_3_norm_mbox_conf_perm"
|
type: "Permute"
|
bottom: "conv4_3_norm_mbox_conf"
|
top: "conv4_3_norm_mbox_conf_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv4_3_norm_mbox_conf_flat"
|
type: "Flatten"
|
bottom: "conv4_3_norm_mbox_conf_perm"
|
top: "conv4_3_norm_mbox_conf_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv4_3_norm_mbox_priorbox"
|
type: "PriorBox"
|
bottom: "conv4_3_norm"
|
bottom: "data"
|
top: "conv4_3_norm_mbox_priorbox"
|
prior_box_param {
|
min_size: 30.0
|
max_size: 60.0
|
aspect_ratio: 2
|
flip: true
|
clip: false
|
variance: 0.1
|
variance: 0.1
|
variance: 0.2
|
variance: 0.2
|
step: 8
|
offset: 0.5
|
}
|
}
|
layer {
|
name: "fc7_mbox_loc"
|
type: "Convolution"
|
bottom: "fc7"
|
top: "fc7_mbox_loc"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 24
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "fc7_mbox_loc_perm"
|
type: "Permute"
|
bottom: "fc7_mbox_loc"
|
top: "fc7_mbox_loc_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "fc7_mbox_loc_flat"
|
type: "Flatten"
|
bottom: "fc7_mbox_loc_perm"
|
top: "fc7_mbox_loc_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "fc7_mbox_conf"
|
type: "Convolution"
|
bottom: "fc7"
|
top: "fc7_mbox_conf"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 126
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "fc7_mbox_conf_perm"
|
type: "Permute"
|
bottom: "fc7_mbox_conf"
|
top: "fc7_mbox_conf_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "fc7_mbox_conf_flat"
|
type: "Flatten"
|
bottom: "fc7_mbox_conf_perm"
|
top: "fc7_mbox_conf_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "fc7_mbox_priorbox"
|
type: "PriorBox"
|
bottom: "fc7"
|
bottom: "data"
|
top: "fc7_mbox_priorbox"
|
prior_box_param {
|
min_size: 60.0
|
max_size: 111.0
|
aspect_ratio: 2
|
aspect_ratio: 3
|
flip: true
|
clip: false
|
variance: 0.1
|
variance: 0.1
|
variance: 0.2
|
variance: 0.2
|
step: 16
|
offset: 0.5
|
}
|
}
|
layer {
|
name: "conv6_2_mbox_loc"
|
type: "Convolution"
|
bottom: "conv6_2"
|
top: "conv6_2_mbox_loc"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 24
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv6_2_mbox_loc_perm"
|
type: "Permute"
|
bottom: "conv6_2_mbox_loc"
|
top: "conv6_2_mbox_loc_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv6_2_mbox_loc_flat"
|
type: "Flatten"
|
bottom: "conv6_2_mbox_loc_perm"
|
top: "conv6_2_mbox_loc_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv6_2_mbox_conf"
|
type: "Convolution"
|
bottom: "conv6_2"
|
top: "conv6_2_mbox_conf"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 126
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv6_2_mbox_conf_perm"
|
type: "Permute"
|
bottom: "conv6_2_mbox_conf"
|
top: "conv6_2_mbox_conf_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv6_2_mbox_conf_flat"
|
type: "Flatten"
|
bottom: "conv6_2_mbox_conf_perm"
|
top: "conv6_2_mbox_conf_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv6_2_mbox_priorbox"
|
type: "PriorBox"
|
bottom: "conv6_2"
|
bottom: "data"
|
top: "conv6_2_mbox_priorbox"
|
prior_box_param {
|
min_size: 111.0
|
max_size: 162.0
|
aspect_ratio: 2
|
aspect_ratio: 3
|
flip: true
|
clip: false
|
variance: 0.1
|
variance: 0.1
|
variance: 0.2
|
variance: 0.2
|
step: 32
|
offset: 0.5
|
}
|
}
|
layer {
|
name: "conv7_2_mbox_loc"
|
type: "Convolution"
|
bottom: "conv7_2"
|
top: "conv7_2_mbox_loc"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 24
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv7_2_mbox_loc_perm"
|
type: "Permute"
|
bottom: "conv7_2_mbox_loc"
|
top: "conv7_2_mbox_loc_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv7_2_mbox_loc_flat"
|
type: "Flatten"
|
bottom: "conv7_2_mbox_loc_perm"
|
top: "conv7_2_mbox_loc_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv7_2_mbox_conf"
|
type: "Convolution"
|
bottom: "conv7_2"
|
top: "conv7_2_mbox_conf"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 126
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv7_2_mbox_conf_perm"
|
type: "Permute"
|
bottom: "conv7_2_mbox_conf"
|
top: "conv7_2_mbox_conf_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv7_2_mbox_conf_flat"
|
type: "Flatten"
|
bottom: "conv7_2_mbox_conf_perm"
|
top: "conv7_2_mbox_conf_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv7_2_mbox_priorbox"
|
type: "PriorBox"
|
bottom: "conv7_2"
|
bottom: "data"
|
top: "conv7_2_mbox_priorbox"
|
prior_box_param {
|
min_size: 162.0
|
max_size: 213.0
|
aspect_ratio: 2
|
aspect_ratio: 3
|
flip: true
|
clip: false
|
variance: 0.1
|
variance: 0.1
|
variance: 0.2
|
variance: 0.2
|
step: 64
|
offset: 0.5
|
}
|
}
|
layer {
|
name: "conv8_2_mbox_loc"
|
type: "Convolution"
|
bottom: "conv8_2"
|
top: "conv8_2_mbox_loc"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 16
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv8_2_mbox_loc_perm"
|
type: "Permute"
|
bottom: "conv8_2_mbox_loc"
|
top: "conv8_2_mbox_loc_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv8_2_mbox_loc_flat"
|
type: "Flatten"
|
bottom: "conv8_2_mbox_loc_perm"
|
top: "conv8_2_mbox_loc_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv8_2_mbox_conf"
|
type: "Convolution"
|
bottom: "conv8_2"
|
top: "conv8_2_mbox_conf"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 84
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv8_2_mbox_conf_perm"
|
type: "Permute"
|
bottom: "conv8_2_mbox_conf"
|
top: "conv8_2_mbox_conf_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv8_2_mbox_conf_flat"
|
type: "Flatten"
|
bottom: "conv8_2_mbox_conf_perm"
|
top: "conv8_2_mbox_conf_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv8_2_mbox_priorbox"
|
type: "PriorBox"
|
bottom: "conv8_2"
|
bottom: "data"
|
top: "conv8_2_mbox_priorbox"
|
prior_box_param {
|
min_size: 213.0
|
max_size: 264.0
|
aspect_ratio: 2
|
flip: true
|
clip: false
|
variance: 0.1
|
variance: 0.1
|
variance: 0.2
|
variance: 0.2
|
step: 100
|
offset: 0.5
|
}
|
}
|
layer {
|
name: "conv9_2_mbox_loc"
|
type: "Convolution"
|
bottom: "conv9_2"
|
top: "conv9_2_mbox_loc"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 16
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv9_2_mbox_loc_perm"
|
type: "Permute"
|
bottom: "conv9_2_mbox_loc"
|
top: "conv9_2_mbox_loc_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv9_2_mbox_loc_flat"
|
type: "Flatten"
|
bottom: "conv9_2_mbox_loc_perm"
|
top: "conv9_2_mbox_loc_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv9_2_mbox_conf"
|
type: "Convolution"
|
bottom: "conv9_2"
|
top: "conv9_2_mbox_conf"
|
param {
|
lr_mult: 1
|
decay_mult: 1
|
}
|
param {
|
lr_mult: 2
|
decay_mult: 0
|
}
|
convolution_param {
|
num_output: 84
|
pad: 1
|
kernel_size: 3
|
stride: 1
|
weight_filler {
|
type: "xavier"
|
}
|
bias_filler {
|
type: "constant"
|
value: 0
|
}
|
}
|
}
|
layer {
|
name: "conv9_2_mbox_conf_perm"
|
type: "Permute"
|
bottom: "conv9_2_mbox_conf"
|
top: "conv9_2_mbox_conf_perm"
|
permute_param {
|
order: 0
|
order: 2
|
order: 3
|
order: 1
|
}
|
}
|
layer {
|
name: "conv9_2_mbox_conf_flat"
|
type: "Flatten"
|
bottom: "conv9_2_mbox_conf_perm"
|
top: "conv9_2_mbox_conf_flat"
|
flatten_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "conv9_2_mbox_priorbox"
|
type: "PriorBox"
|
bottom: "conv9_2"
|
bottom: "data"
|
top: "conv9_2_mbox_priorbox"
|
prior_box_param {
|
min_size: 264.0
|
max_size: 315.0
|
aspect_ratio: 2
|
flip: true
|
clip: false
|
variance: 0.1
|
variance: 0.1
|
variance: 0.2
|
variance: 0.2
|
step: 300
|
offset: 0.5
|
}
|
}
|
layer {
|
name: "mbox_loc"
|
type: "Concat"
|
bottom: "conv4_3_norm_mbox_loc_flat"
|
bottom: "fc7_mbox_loc_flat"
|
bottom: "conv6_2_mbox_loc_flat"
|
bottom: "conv7_2_mbox_loc_flat"
|
bottom: "conv8_2_mbox_loc_flat"
|
bottom: "conv9_2_mbox_loc_flat"
|
top: "mbox_loc"
|
concat_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "mbox_conf"
|
type: "Concat"
|
bottom: "conv4_3_norm_mbox_conf_flat"
|
bottom: "fc7_mbox_conf_flat"
|
bottom: "conv6_2_mbox_conf_flat"
|
bottom: "conv7_2_mbox_conf_flat"
|
bottom: "conv8_2_mbox_conf_flat"
|
bottom: "conv9_2_mbox_conf_flat"
|
top: "mbox_conf"
|
concat_param {
|
axis: 1
|
}
|
}
|
layer {
|
name: "mbox_priorbox"
|
type: "Concat"
|
bottom: "conv4_3_norm_mbox_priorbox"
|
bottom: "fc7_mbox_priorbox"
|
bottom: "conv6_2_mbox_priorbox"
|
bottom: "conv7_2_mbox_priorbox"
|
bottom: "conv8_2_mbox_priorbox"
|
bottom: "conv9_2_mbox_priorbox"
|
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: 21
|
}
|
}
|
}
|
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
|
}
|
}
|
