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1629 lines
24 KiB
1629 lines
24 KiB
name: "VGG_text_longer_conv_300x300_deploy" |
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input: "data" |
|
input_shape { |
|
dim: 1 |
|
dim: 3 |
|
dim: 700 |
|
dim: 700 |
|
} |
|
layer { |
|
name: "conv1_1" |
|
type: "Convolution" |
|
bottom: "data" |
|
top: "conv1_1" |
|
param { |
|
lr_mult: 0 |
|
decay_mult: 0 |
|
} |
|
param { |
|
lr_mult: 0 |
|
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: 0 |
|
decay_mult: 0 |
|
} |
|
param { |
|
lr_mult: 0 |
|
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: 0 |
|
decay_mult: 0 |
|
} |
|
param { |
|
lr_mult: 0 |
|
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: 0 |
|
decay_mult: 0 |
|
} |
|
param { |
|
lr_mult: 0 |
|
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 |
|
} |
|
} |
|
} |
|
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 |
|
} |
|
} |
|
} |
|
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 |
|
} |
|
} |
|
} |
|
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: 1 |
|
kernel_size: 3 |
|
stride: 2 |
|
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: "pool6" |
|
type: "Pooling" |
|
bottom: "conv8_2" |
|
top: "pool6" |
|
pooling_param { |
|
pool: AVE |
|
global_pooling: true |
|
} |
|
} |
|
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: 48 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 24 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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 |
|
aspect_ratio: 2 |
|
aspect_ratio: 3 |
|
aspect_ratio: 5 |
|
aspect_ratio: 7 |
|
aspect_ratio: 10 |
|
flip: false |
|
clip: true |
|
variance: 0.1 |
|
variance: 0.1 |
|
variance: 0.2 |
|
variance: 0.2 |
|
offset_h: 0.5 |
|
offset_w: 0.5 |
|
offset_h: 1.0 |
|
offset_w: 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: 56 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 28 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 114.0 |
|
aspect_ratio: 2 |
|
aspect_ratio: 3 |
|
aspect_ratio: 5 |
|
aspect_ratio: 7 |
|
aspect_ratio: 10 |
|
flip: false |
|
clip: true |
|
variance: 0.1 |
|
variance: 0.1 |
|
variance: 0.2 |
|
variance: 0.2 |
|
offset_h: 0.5 |
|
offset_w: 0.5 |
|
offset_h: 1.0 |
|
offset_w: 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: 56 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 28 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 114.0 |
|
max_size: 168.0 |
|
aspect_ratio: 2 |
|
aspect_ratio: 3 |
|
aspect_ratio: 5 |
|
aspect_ratio: 7 |
|
aspect_ratio: 10 |
|
flip: false |
|
clip: true |
|
variance: 0.1 |
|
variance: 0.1 |
|
variance: 0.2 |
|
variance: 0.2 |
|
offset_h: 0.5 |
|
offset_w: 0.5 |
|
offset_h: 1.0 |
|
offset_w: 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: 56 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 28 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 168.0 |
|
max_size: 222.0 |
|
aspect_ratio: 2 |
|
aspect_ratio: 3 |
|
aspect_ratio: 5 |
|
aspect_ratio: 7 |
|
aspect_ratio: 10 |
|
flip: false |
|
clip: true |
|
variance: 0.1 |
|
variance: 0.1 |
|
variance: 0.2 |
|
variance: 0.2 |
|
offset_h: 0.5 |
|
offset_w: 0.5 |
|
offset_h: 1.0 |
|
offset_w: 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: 56 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 28 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
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: 222.0 |
|
max_size: 276.0 |
|
aspect_ratio: 2 |
|
aspect_ratio: 3 |
|
aspect_ratio: 5 |
|
aspect_ratio: 7 |
|
aspect_ratio: 10 |
|
flip: false |
|
clip: true |
|
variance: 0.1 |
|
variance: 0.1 |
|
variance: 0.2 |
|
variance: 0.2 |
|
offset_h: 0.5 |
|
offset_w: 0.5 |
|
offset_h: 1.0 |
|
offset_w: 0.5 |
|
} |
|
} |
|
layer { |
|
name: "pool6_mbox_loc" |
|
type: "Convolution" |
|
bottom: "pool6" |
|
top: "pool6_mbox_loc" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 56 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
layer { |
|
name: "pool6_mbox_loc_perm" |
|
type: "Permute" |
|
bottom: "pool6_mbox_loc" |
|
top: "pool6_mbox_loc_perm" |
|
permute_param { |
|
order: 0 |
|
order: 2 |
|
order: 3 |
|
order: 1 |
|
} |
|
} |
|
layer { |
|
name: "pool6_mbox_loc_flat" |
|
type: "Flatten" |
|
bottom: "pool6_mbox_loc_perm" |
|
top: "pool6_mbox_loc_flat" |
|
flatten_param { |
|
axis: 1 |
|
} |
|
} |
|
layer { |
|
name: "pool6_mbox_conf" |
|
type: "Convolution" |
|
bottom: "pool6" |
|
top: "pool6_mbox_conf" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 28 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
pad_h: 0 |
|
pad_w: 2 |
|
kernel_h: 1 |
|
kernel_w: 5 |
|
stride_h: 1 |
|
stride_w: 1 |
|
} |
|
} |
|
layer { |
|
name: "pool6_mbox_conf_perm" |
|
type: "Permute" |
|
bottom: "pool6_mbox_conf" |
|
top: "pool6_mbox_conf_perm" |
|
permute_param { |
|
order: 0 |
|
order: 2 |
|
order: 3 |
|
order: 1 |
|
} |
|
} |
|
layer { |
|
name: "pool6_mbox_conf_flat" |
|
type: "Flatten" |
|
bottom: "pool6_mbox_conf_perm" |
|
top: "pool6_mbox_conf_flat" |
|
flatten_param { |
|
axis: 1 |
|
} |
|
} |
|
layer { |
|
name: "pool6_mbox_priorbox" |
|
type: "PriorBox" |
|
bottom: "pool6" |
|
bottom: "data" |
|
top: "pool6_mbox_priorbox" |
|
prior_box_param { |
|
min_size: 276.0 |
|
max_size: 330.0 |
|
aspect_ratio: 2 |
|
aspect_ratio: 3 |
|
aspect_ratio: 5 |
|
aspect_ratio: 7 |
|
aspect_ratio: 10 |
|
flip: false |
|
clip: true |
|
variance: 0.1 |
|
variance: 0.1 |
|
variance: 0.2 |
|
variance: 0.2 |
|
offset_h: 0.5 |
|
offset_w: 0.5 |
|
offset_h: 1.0 |
|
offset_w: 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: "pool6_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: "pool6_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: "pool6_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: 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_out" |
|
type: "DetectionOutput" |
|
bottom: "mbox_loc" |
|
bottom: "mbox_conf_flatten" |
|
bottom: "mbox_priorbox" |
|
top: "detection_out" |
|
include { |
|
phase: TEST |
|
} |
|
detection_output_param { |
|
num_classes: 2 |
|
share_location: true |
|
background_label_id: 0 |
|
nms_param { |
|
nms_threshold: 0.45 |
|
top_k: 400 |
|
} |
|
code_type: CENTER_SIZE |
|
keep_top_k: 200 |
|
confidence_threshold: 0.01 |
|
} |
|
}
|
|
|