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eric612/Pelee-YOLO-2

Last active July 10, 2018 16:42
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Pelee-YOLO-2
name: "PeleeNet"
layer {
name: "data"
type: "AnnotatedData"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
scale: 0.007843
mirror: true
mean_value: 127.5
mean_value: 127.5
mean_value: 127.5
resize_param {
prob: 0.1
resize_mode: WARP
height: 608
width: 608
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 416
width: 416
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 320
width: 320
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 352
width: 352
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 384
width: 384
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 448
width: 448
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 480
width: 480
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 512
width: 512
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 544
width: 544
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
resize_param {
prob: 0.1
resize_mode: WARP
height: 576
width: 576
interp_mode: LINEAR
interp_mode: AREA
interp_mode: LANCZOS4
}
emit_constraint {
emit_type: CENTER
}
distort_param {
brightness_prob: 0.5
brightness_delta: 32.0
contrast_prob: 0.5
contrast_lower: 0.5
contrast_upper: 1.5
hue_prob: 0.5
hue_delta: 18.0
saturation_prob: 0.5
saturation_lower: 0.5
saturation_upper: 1.5
random_order_prob: 0.0
}
expand_param {
prob: 0.5
max_expand_ratio: 2.0
}
}
data_param {
source: "examples/VOC0712/VOC0712_trainval_lmdb"
batch_size: 4
backend: LMDB
}
annotated_data_param {
yolo_data_type : 1
yolo_data_jitter : 0.3
label_map_file: "data/VOC0712/labelmap_voc.prototxt"
}
}
layer {
name: "stem1"
type: "Convolution"
bottom: "data"
top: "stem1"
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stem1/bn"
type: "BatchNorm"
bottom: "stem1"
top: "stem1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stem1/scale"
type: "Scale"
bottom: "stem1"
top: "stem1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stem1/relu"
type: "ReLU"
bottom: "stem1"
top: "stem1"
}
layer {
name: "stem2a"
type: "Convolution"
bottom: "stem1"
top: "stem2a"
convolution_param {
num_output: 16
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stem2a/bn"
type: "BatchNorm"
bottom: "stem2a"
top: "stem2a"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stem2a/scale"
type: "Scale"
bottom: "stem2a"
top: "stem2a"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stem2a/relu"
type: "ReLU"
bottom: "stem2a"
top: "stem2a"
}
layer {
name: "stem2b"
type: "Convolution"
bottom: "stem2a"
top: "stem2b"
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stem2b/bn"
type: "BatchNorm"
bottom: "stem2b"
top: "stem2b"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stem2b/scale"
type: "Scale"
bottom: "stem2b"
top: "stem2b"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stem2b/relu"
type: "ReLU"
bottom: "stem2b"
top: "stem2b"
}
layer {
name: "stem1/pool"
type: "Pooling"
bottom: "stem1"
top: "stem1/pool"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "stem/concat"
type: "Concat"
bottom: "stem2b"
bottom: "stem1/pool"
top: "stem/concat"
concat_param {
axis: 1
}
}
layer {
name: "stem"
type: "Convolution"
bottom: "stem/concat"
top: "stem"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stem/bn"
type: "BatchNorm"
bottom: "stem"
top: "stem"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stem/scale"
type: "Scale"
bottom: "stem"
top: "stem"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stem/relu"
type: "ReLU"
bottom: "stem"
top: "stem"
}
layer {
name: "stage1_1/a1"
type: "Convolution"
bottom: "stem"
top: "stage1_1/a1"
convolution_param {
num_output: 16
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_1/a1/bn"
type: "BatchNorm"
bottom: "stage1_1/a1"
top: "stage1_1/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_1/a1/scale"
type: "Scale"
bottom: "stage1_1/a1"
top: "stage1_1/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_1/a1/relu"
type: "ReLU"
bottom: "stage1_1/a1"
top: "stage1_1/a1"
}
layer {
name: "stage1_1/a2"
type: "Convolution"
bottom: "stage1_1/a1"
top: "stage1_1/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_1/a2/bn"
type: "BatchNorm"
bottom: "stage1_1/a2"
top: "stage1_1/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_1/a2/scale"
type: "Scale"
bottom: "stage1_1/a2"
top: "stage1_1/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_1/a2/relu"
type: "ReLU"
bottom: "stage1_1/a2"
top: "stage1_1/a2"
}
layer {
name: "stage1_1/b1"
type: "Convolution"
bottom: "stem"
top: "stage1_1/b1"
convolution_param {
num_output: 16
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_1/b1/bn"
type: "BatchNorm"
bottom: "stage1_1/b1"
top: "stage1_1/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_1/b1/scale"
type: "Scale"
bottom: "stage1_1/b1"
top: "stage1_1/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_1/b1/relu"
type: "ReLU"
bottom: "stage1_1/b1"
top: "stage1_1/b1"
}
layer {
name: "stage1_1/b2"
type: "Convolution"
bottom: "stage1_1/b1"
top: "stage1_1/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_1/b2/bn"
type: "BatchNorm"
bottom: "stage1_1/b2"
top: "stage1_1/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_1/b2/scale"
type: "Scale"
bottom: "stage1_1/b2"
top: "stage1_1/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_1/b2/relu"
type: "ReLU"
bottom: "stage1_1/b2"
top: "stage1_1/b2"
}
layer {
name: "stage1_1/b3"
type: "Convolution"
bottom: "stage1_1/b2"
top: "stage1_1/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_1/b3/bn"
type: "BatchNorm"
bottom: "stage1_1/b3"
top: "stage1_1/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_1/b3/scale"
type: "Scale"
bottom: "stage1_1/b3"
top: "stage1_1/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_1/b3/relu"
type: "ReLU"
bottom: "stage1_1/b3"
top: "stage1_1/b3"
}
layer {
name: "stage1_1"
type: "Concat"
bottom: "stem"
bottom: "stage1_1/a2"
bottom: "stage1_1/b3"
top: "stage1_1"
concat_param {
axis: 1
}
}
layer {
name: "stage1_2/a1"
type: "Convolution"
bottom: "stage1_1"
top: "stage1_2/a1"
convolution_param {
num_output: 16
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_2/a1/bn"
type: "BatchNorm"
bottom: "stage1_2/a1"
top: "stage1_2/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_2/a1/scale"
type: "Scale"
bottom: "stage1_2/a1"
top: "stage1_2/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_2/a1/relu"
type: "ReLU"
bottom: "stage1_2/a1"
top: "stage1_2/a1"
}
layer {
name: "stage1_2/a2"
type: "Convolution"
bottom: "stage1_2/a1"
top: "stage1_2/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_2/a2/bn"
type: "BatchNorm"
bottom: "stage1_2/a2"
top: "stage1_2/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_2/a2/scale"
type: "Scale"
bottom: "stage1_2/a2"
top: "stage1_2/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_2/a2/relu"
type: "ReLU"
bottom: "stage1_2/a2"
top: "stage1_2/a2"
}
layer {
name: "stage1_2/b1"
type: "Convolution"
bottom: "stage1_1"
top: "stage1_2/b1"
convolution_param {
num_output: 16
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_2/b1/bn"
type: "BatchNorm"
bottom: "stage1_2/b1"
top: "stage1_2/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_2/b1/scale"
type: "Scale"
bottom: "stage1_2/b1"
top: "stage1_2/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_2/b1/relu"
type: "ReLU"
bottom: "stage1_2/b1"
top: "stage1_2/b1"
}
layer {
name: "stage1_2/b2"
type: "Convolution"
bottom: "stage1_2/b1"
top: "stage1_2/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_2/b2/bn"
type: "BatchNorm"
bottom: "stage1_2/b2"
top: "stage1_2/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_2/b2/scale"
type: "Scale"
bottom: "stage1_2/b2"
top: "stage1_2/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_2/b2/relu"
type: "ReLU"
bottom: "stage1_2/b2"
top: "stage1_2/b2"
}
layer {
name: "stage1_2/b3"
type: "Convolution"
bottom: "stage1_2/b2"
top: "stage1_2/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_2/b3/bn"
type: "BatchNorm"
bottom: "stage1_2/b3"
top: "stage1_2/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_2/b3/scale"
type: "Scale"
bottom: "stage1_2/b3"
top: "stage1_2/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_2/b3/relu"
type: "ReLU"
bottom: "stage1_2/b3"
top: "stage1_2/b3"
}
layer {
name: "stage1_2"
type: "Concat"
bottom: "stage1_1"
bottom: "stage1_2/a2"
bottom: "stage1_2/b3"
top: "stage1_2"
concat_param {
axis: 1
}
}
layer {
name: "stage1_3/a1"
type: "Convolution"
bottom: "stage1_2"
top: "stage1_3/a1"
convolution_param {
num_output: 16
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_3/a1/bn"
type: "BatchNorm"
bottom: "stage1_3/a1"
top: "stage1_3/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_3/a1/scale"
type: "Scale"
bottom: "stage1_3/a1"
top: "stage1_3/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_3/a1/relu"
type: "ReLU"
bottom: "stage1_3/a1"
top: "stage1_3/a1"
}
layer {
name: "stage1_3/a2"
type: "Convolution"
bottom: "stage1_3/a1"
top: "stage1_3/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_3/a2/bn"
type: "BatchNorm"
bottom: "stage1_3/a2"
top: "stage1_3/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_3/a2/scale"
type: "Scale"
bottom: "stage1_3/a2"
top: "stage1_3/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_3/a2/relu"
type: "ReLU"
bottom: "stage1_3/a2"
top: "stage1_3/a2"
}
layer {
name: "stage1_3/b1"
type: "Convolution"
bottom: "stage1_2"
top: "stage1_3/b1"
convolution_param {
num_output: 16
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_3/b1/bn"
type: "BatchNorm"
bottom: "stage1_3/b1"
top: "stage1_3/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_3/b1/scale"
type: "Scale"
bottom: "stage1_3/b1"
top: "stage1_3/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_3/b1/relu"
type: "ReLU"
bottom: "stage1_3/b1"
top: "stage1_3/b1"
}
layer {
name: "stage1_3/b2"
type: "Convolution"
bottom: "stage1_3/b1"
top: "stage1_3/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_3/b2/bn"
type: "BatchNorm"
bottom: "stage1_3/b2"
top: "stage1_3/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_3/b2/scale"
type: "Scale"
bottom: "stage1_3/b2"
top: "stage1_3/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_3/b2/relu"
type: "ReLU"
bottom: "stage1_3/b2"
top: "stage1_3/b2"
}
layer {
name: "stage1_3/b3"
type: "Convolution"
bottom: "stage1_3/b2"
top: "stage1_3/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage1_3/b3/bn"
type: "BatchNorm"
bottom: "stage1_3/b3"
top: "stage1_3/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1_3/b3/scale"
type: "Scale"
bottom: "stage1_3/b3"
top: "stage1_3/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1_3/b3/relu"
type: "ReLU"
bottom: "stage1_3/b3"
top: "stage1_3/b3"
}
layer {
name: "stage1_3"
type: "Concat"
bottom: "stage1_2"
bottom: "stage1_3/a2"
bottom: "stage1_3/b3"
top: "stage1_3"
concat_param {
axis: 1
}
}
layer {
name: "stage1"
type: "Convolution"
bottom: "stage1_3"
top: "stage1"
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage1/scale"
type: "Scale"
bottom: "stage1"
top: "stage1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage1/relu"
type: "ReLU"
bottom: "stage1"
top: "stage1"
}
layer {
name: "stage1/pool"
type: "Pooling"
bottom: "stage1"
top: "stage1/pool"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "stage2_1/a1"
type: "Convolution"
bottom: "stage1/pool"
top: "stage2_1/a1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_1/a1/bn"
type: "BatchNorm"
bottom: "stage2_1/a1"
top: "stage2_1/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_1/a1/scale"
type: "Scale"
bottom: "stage2_1/a1"
top: "stage2_1/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_1/a1/relu"
type: "ReLU"
bottom: "stage2_1/a1"
top: "stage2_1/a1"
}
layer {
name: "stage2_1/a2"
type: "Convolution"
bottom: "stage2_1/a1"
top: "stage2_1/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_1/a2/bn"
type: "BatchNorm"
bottom: "stage2_1/a2"
top: "stage2_1/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_1/a2/scale"
type: "Scale"
bottom: "stage2_1/a2"
top: "stage2_1/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_1/a2/relu"
type: "ReLU"
bottom: "stage2_1/a2"
top: "stage2_1/a2"
}
layer {
name: "stage2_1/b1"
type: "Convolution"
bottom: "stage1/pool"
top: "stage2_1/b1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_1/b1/bn"
type: "BatchNorm"
bottom: "stage2_1/b1"
top: "stage2_1/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_1/b1/scale"
type: "Scale"
bottom: "stage2_1/b1"
top: "stage2_1/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_1/b1/relu"
type: "ReLU"
bottom: "stage2_1/b1"
top: "stage2_1/b1"
}
layer {
name: "stage2_1/b2"
type: "Convolution"
bottom: "stage2_1/b1"
top: "stage2_1/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_1/b2/bn"
type: "BatchNorm"
bottom: "stage2_1/b2"
top: "stage2_1/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_1/b2/scale"
type: "Scale"
bottom: "stage2_1/b2"
top: "stage2_1/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_1/b2/relu"
type: "ReLU"
bottom: "stage2_1/b2"
top: "stage2_1/b2"
}
layer {
name: "stage2_1/b3"
type: "Convolution"
bottom: "stage2_1/b2"
top: "stage2_1/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_1/b3/bn"
type: "BatchNorm"
bottom: "stage2_1/b3"
top: "stage2_1/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_1/b3/scale"
type: "Scale"
bottom: "stage2_1/b3"
top: "stage2_1/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_1/b3/relu"
type: "ReLU"
bottom: "stage2_1/b3"
top: "stage2_1/b3"
}
layer {
name: "stage2_1"
type: "Concat"
bottom: "stage1/pool"
bottom: "stage2_1/a2"
bottom: "stage2_1/b3"
top: "stage2_1"
concat_param {
axis: 1
}
}
layer {
name: "stage2_2/a1"
type: "Convolution"
bottom: "stage2_1"
top: "stage2_2/a1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_2/a1/bn"
type: "BatchNorm"
bottom: "stage2_2/a1"
top: "stage2_2/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_2/a1/scale"
type: "Scale"
bottom: "stage2_2/a1"
top: "stage2_2/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_2/a1/relu"
type: "ReLU"
bottom: "stage2_2/a1"
top: "stage2_2/a1"
}
layer {
name: "stage2_2/a2"
type: "Convolution"
bottom: "stage2_2/a1"
top: "stage2_2/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_2/a2/bn"
type: "BatchNorm"
bottom: "stage2_2/a2"
top: "stage2_2/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_2/a2/scale"
type: "Scale"
bottom: "stage2_2/a2"
top: "stage2_2/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_2/a2/relu"
type: "ReLU"
bottom: "stage2_2/a2"
top: "stage2_2/a2"
}
layer {
name: "stage2_2/b1"
type: "Convolution"
bottom: "stage2_1"
top: "stage2_2/b1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_2/b1/bn"
type: "BatchNorm"
bottom: "stage2_2/b1"
top: "stage2_2/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_2/b1/scale"
type: "Scale"
bottom: "stage2_2/b1"
top: "stage2_2/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_2/b1/relu"
type: "ReLU"
bottom: "stage2_2/b1"
top: "stage2_2/b1"
}
layer {
name: "stage2_2/b2"
type: "Convolution"
bottom: "stage2_2/b1"
top: "stage2_2/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_2/b2/bn"
type: "BatchNorm"
bottom: "stage2_2/b2"
top: "stage2_2/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_2/b2/scale"
type: "Scale"
bottom: "stage2_2/b2"
top: "stage2_2/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_2/b2/relu"
type: "ReLU"
bottom: "stage2_2/b2"
top: "stage2_2/b2"
}
layer {
name: "stage2_2/b3"
type: "Convolution"
bottom: "stage2_2/b2"
top: "stage2_2/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_2/b3/bn"
type: "BatchNorm"
bottom: "stage2_2/b3"
top: "stage2_2/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_2/b3/scale"
type: "Scale"
bottom: "stage2_2/b3"
top: "stage2_2/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_2/b3/relu"
type: "ReLU"
bottom: "stage2_2/b3"
top: "stage2_2/b3"
}
layer {
name: "stage2_2"
type: "Concat"
bottom: "stage2_1"
bottom: "stage2_2/a2"
bottom: "stage2_2/b3"
top: "stage2_2"
concat_param {
axis: 1
}
}
layer {
name: "stage2_3/a1"
type: "Convolution"
bottom: "stage2_2"
top: "stage2_3/a1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_3/a1/bn"
type: "BatchNorm"
bottom: "stage2_3/a1"
top: "stage2_3/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_3/a1/scale"
type: "Scale"
bottom: "stage2_3/a1"
top: "stage2_3/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_3/a1/relu"
type: "ReLU"
bottom: "stage2_3/a1"
top: "stage2_3/a1"
}
layer {
name: "stage2_3/a2"
type: "Convolution"
bottom: "stage2_3/a1"
top: "stage2_3/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_3/a2/bn"
type: "BatchNorm"
bottom: "stage2_3/a2"
top: "stage2_3/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_3/a2/scale"
type: "Scale"
bottom: "stage2_3/a2"
top: "stage2_3/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_3/a2/relu"
type: "ReLU"
bottom: "stage2_3/a2"
top: "stage2_3/a2"
}
layer {
name: "stage2_3/b1"
type: "Convolution"
bottom: "stage2_2"
top: "stage2_3/b1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_3/b1/bn"
type: "BatchNorm"
bottom: "stage2_3/b1"
top: "stage2_3/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_3/b1/scale"
type: "Scale"
bottom: "stage2_3/b1"
top: "stage2_3/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_3/b1/relu"
type: "ReLU"
bottom: "stage2_3/b1"
top: "stage2_3/b1"
}
layer {
name: "stage2_3/b2"
type: "Convolution"
bottom: "stage2_3/b1"
top: "stage2_3/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_3/b2/bn"
type: "BatchNorm"
bottom: "stage2_3/b2"
top: "stage2_3/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_3/b2/scale"
type: "Scale"
bottom: "stage2_3/b2"
top: "stage2_3/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_3/b2/relu"
type: "ReLU"
bottom: "stage2_3/b2"
top: "stage2_3/b2"
}
layer {
name: "stage2_3/b3"
type: "Convolution"
bottom: "stage2_3/b2"
top: "stage2_3/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_3/b3/bn"
type: "BatchNorm"
bottom: "stage2_3/b3"
top: "stage2_3/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_3/b3/scale"
type: "Scale"
bottom: "stage2_3/b3"
top: "stage2_3/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_3/b3/relu"
type: "ReLU"
bottom: "stage2_3/b3"
top: "stage2_3/b3"
}
layer {
name: "stage2_3"
type: "Concat"
bottom: "stage2_2"
bottom: "stage2_3/a2"
bottom: "stage2_3/b3"
top: "stage2_3"
concat_param {
axis: 1
}
}
layer {
name: "stage2_4/a1"
type: "Convolution"
bottom: "stage2_3"
top: "stage2_4/a1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_4/a1/bn"
type: "BatchNorm"
bottom: "stage2_4/a1"
top: "stage2_4/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_4/a1/scale"
type: "Scale"
bottom: "stage2_4/a1"
top: "stage2_4/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_4/a1/relu"
type: "ReLU"
bottom: "stage2_4/a1"
top: "stage2_4/a1"
}
layer {
name: "stage2_4/a2"
type: "Convolution"
bottom: "stage2_4/a1"
top: "stage2_4/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_4/a2/bn"
type: "BatchNorm"
bottom: "stage2_4/a2"
top: "stage2_4/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_4/a2/scale"
type: "Scale"
bottom: "stage2_4/a2"
top: "stage2_4/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_4/a2/relu"
type: "ReLU"
bottom: "stage2_4/a2"
top: "stage2_4/a2"
}
layer {
name: "stage2_4/b1"
type: "Convolution"
bottom: "stage2_3"
top: "stage2_4/b1"
convolution_param {
num_output: 32
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_4/b1/bn"
type: "BatchNorm"
bottom: "stage2_4/b1"
top: "stage2_4/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_4/b1/scale"
type: "Scale"
bottom: "stage2_4/b1"
top: "stage2_4/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_4/b1/relu"
type: "ReLU"
bottom: "stage2_4/b1"
top: "stage2_4/b1"
}
layer {
name: "stage2_4/b2"
type: "Convolution"
bottom: "stage2_4/b1"
top: "stage2_4/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_4/b2/bn"
type: "BatchNorm"
bottom: "stage2_4/b2"
top: "stage2_4/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_4/b2/scale"
type: "Scale"
bottom: "stage2_4/b2"
top: "stage2_4/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_4/b2/relu"
type: "ReLU"
bottom: "stage2_4/b2"
top: "stage2_4/b2"
}
layer {
name: "stage2_4/b3"
type: "Convolution"
bottom: "stage2_4/b2"
top: "stage2_4/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2_4/b3/bn"
type: "BatchNorm"
bottom: "stage2_4/b3"
top: "stage2_4/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2_4/b3/scale"
type: "Scale"
bottom: "stage2_4/b3"
top: "stage2_4/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2_4/b3/relu"
type: "ReLU"
bottom: "stage2_4/b3"
top: "stage2_4/b3"
}
layer {
name: "stage2_4"
type: "Concat"
bottom: "stage2_3"
bottom: "stage2_4/a2"
bottom: "stage2_4/b3"
top: "stage2_4"
concat_param {
axis: 1
}
}
layer {
name: "stage2"
type: "Convolution"
bottom: "stage2_4"
top: "stage2"
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage2/bn"
type: "BatchNorm"
bottom: "stage2"
top: "stage2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage2/scale"
type: "Scale"
bottom: "stage2"
top: "stage2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage2/relu"
type: "ReLU"
bottom: "stage2"
top: "stage2"
}
layer {
name: "stage2/pool"
type: "Pooling"
bottom: "stage2"
top: "stage2/pool"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "stage3_1/a1"
type: "Convolution"
bottom: "stage2/pool"
top: "stage3_1/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_1/a1/bn"
type: "BatchNorm"
bottom: "stage3_1/a1"
top: "stage3_1/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_1/a1/scale"
type: "Scale"
bottom: "stage3_1/a1"
top: "stage3_1/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_1/a1/relu"
type: "ReLU"
bottom: "stage3_1/a1"
top: "stage3_1/a1"
}
layer {
name: "stage3_1/a2"
type: "Convolution"
bottom: "stage3_1/a1"
top: "stage3_1/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_1/a2/bn"
type: "BatchNorm"
bottom: "stage3_1/a2"
top: "stage3_1/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_1/a2/scale"
type: "Scale"
bottom: "stage3_1/a2"
top: "stage3_1/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_1/a2/relu"
type: "ReLU"
bottom: "stage3_1/a2"
top: "stage3_1/a2"
}
layer {
name: "stage3_1/b1"
type: "Convolution"
bottom: "stage2/pool"
top: "stage3_1/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_1/b1/bn"
type: "BatchNorm"
bottom: "stage3_1/b1"
top: "stage3_1/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_1/b1/scale"
type: "Scale"
bottom: "stage3_1/b1"
top: "stage3_1/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_1/b1/relu"
type: "ReLU"
bottom: "stage3_1/b1"
top: "stage3_1/b1"
}
layer {
name: "stage3_1/b2"
type: "Convolution"
bottom: "stage3_1/b1"
top: "stage3_1/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_1/b2/bn"
type: "BatchNorm"
bottom: "stage3_1/b2"
top: "stage3_1/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_1/b2/scale"
type: "Scale"
bottom: "stage3_1/b2"
top: "stage3_1/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_1/b2/relu"
type: "ReLU"
bottom: "stage3_1/b2"
top: "stage3_1/b2"
}
layer {
name: "stage3_1/b3"
type: "Convolution"
bottom: "stage3_1/b2"
top: "stage3_1/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_1/b3/bn"
type: "BatchNorm"
bottom: "stage3_1/b3"
top: "stage3_1/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_1/b3/scale"
type: "Scale"
bottom: "stage3_1/b3"
top: "stage3_1/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_1/b3/relu"
type: "ReLU"
bottom: "stage3_1/b3"
top: "stage3_1/b3"
}
layer {
name: "stage3_1"
type: "Concat"
bottom: "stage2/pool"
bottom: "stage3_1/a2"
bottom: "stage3_1/b3"
top: "stage3_1"
concat_param {
axis: 1
}
}
layer {
name: "stage3_2/a1"
type: "Convolution"
bottom: "stage3_1"
top: "stage3_2/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_2/a1/bn"
type: "BatchNorm"
bottom: "stage3_2/a1"
top: "stage3_2/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_2/a1/scale"
type: "Scale"
bottom: "stage3_2/a1"
top: "stage3_2/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_2/a1/relu"
type: "ReLU"
bottom: "stage3_2/a1"
top: "stage3_2/a1"
}
layer {
name: "stage3_2/a2"
type: "Convolution"
bottom: "stage3_2/a1"
top: "stage3_2/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_2/a2/bn"
type: "BatchNorm"
bottom: "stage3_2/a2"
top: "stage3_2/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_2/a2/scale"
type: "Scale"
bottom: "stage3_2/a2"
top: "stage3_2/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_2/a2/relu"
type: "ReLU"
bottom: "stage3_2/a2"
top: "stage3_2/a2"
}
layer {
name: "stage3_2/b1"
type: "Convolution"
bottom: "stage3_1"
top: "stage3_2/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_2/b1/bn"
type: "BatchNorm"
bottom: "stage3_2/b1"
top: "stage3_2/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_2/b1/scale"
type: "Scale"
bottom: "stage3_2/b1"
top: "stage3_2/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_2/b1/relu"
type: "ReLU"
bottom: "stage3_2/b1"
top: "stage3_2/b1"
}
layer {
name: "stage3_2/b2"
type: "Convolution"
bottom: "stage3_2/b1"
top: "stage3_2/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_2/b2/bn"
type: "BatchNorm"
bottom: "stage3_2/b2"
top: "stage3_2/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_2/b2/scale"
type: "Scale"
bottom: "stage3_2/b2"
top: "stage3_2/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_2/b2/relu"
type: "ReLU"
bottom: "stage3_2/b2"
top: "stage3_2/b2"
}
layer {
name: "stage3_2/b3"
type: "Convolution"
bottom: "stage3_2/b2"
top: "stage3_2/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_2/b3/bn"
type: "BatchNorm"
bottom: "stage3_2/b3"
top: "stage3_2/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_2/b3/scale"
type: "Scale"
bottom: "stage3_2/b3"
top: "stage3_2/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_2/b3/relu"
type: "ReLU"
bottom: "stage3_2/b3"
top: "stage3_2/b3"
}
layer {
name: "stage3_2"
type: "Concat"
bottom: "stage3_1"
bottom: "stage3_2/a2"
bottom: "stage3_2/b3"
top: "stage3_2"
concat_param {
axis: 1
}
}
layer {
name: "stage3_3/a1"
type: "Convolution"
bottom: "stage3_2"
top: "stage3_3/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_3/a1/bn"
type: "BatchNorm"
bottom: "stage3_3/a1"
top: "stage3_3/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_3/a1/scale"
type: "Scale"
bottom: "stage3_3/a1"
top: "stage3_3/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_3/a1/relu"
type: "ReLU"
bottom: "stage3_3/a1"
top: "stage3_3/a1"
}
layer {
name: "stage3_3/a2"
type: "Convolution"
bottom: "stage3_3/a1"
top: "stage3_3/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_3/a2/bn"
type: "BatchNorm"
bottom: "stage3_3/a2"
top: "stage3_3/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_3/a2/scale"
type: "Scale"
bottom: "stage3_3/a2"
top: "stage3_3/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_3/a2/relu"
type: "ReLU"
bottom: "stage3_3/a2"
top: "stage3_3/a2"
}
layer {
name: "stage3_3/b1"
type: "Convolution"
bottom: "stage3_2"
top: "stage3_3/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_3/b1/bn"
type: "BatchNorm"
bottom: "stage3_3/b1"
top: "stage3_3/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_3/b1/scale"
type: "Scale"
bottom: "stage3_3/b1"
top: "stage3_3/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_3/b1/relu"
type: "ReLU"
bottom: "stage3_3/b1"
top: "stage3_3/b1"
}
layer {
name: "stage3_3/b2"
type: "Convolution"
bottom: "stage3_3/b1"
top: "stage3_3/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_3/b2/bn"
type: "BatchNorm"
bottom: "stage3_3/b2"
top: "stage3_3/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_3/b2/scale"
type: "Scale"
bottom: "stage3_3/b2"
top: "stage3_3/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_3/b2/relu"
type: "ReLU"
bottom: "stage3_3/b2"
top: "stage3_3/b2"
}
layer {
name: "stage3_3/b3"
type: "Convolution"
bottom: "stage3_3/b2"
top: "stage3_3/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_3/b3/bn"
type: "BatchNorm"
bottom: "stage3_3/b3"
top: "stage3_3/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_3/b3/scale"
type: "Scale"
bottom: "stage3_3/b3"
top: "stage3_3/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_3/b3/relu"
type: "ReLU"
bottom: "stage3_3/b3"
top: "stage3_3/b3"
}
layer {
name: "stage3_3"
type: "Concat"
bottom: "stage3_2"
bottom: "stage3_3/a2"
bottom: "stage3_3/b3"
top: "stage3_3"
concat_param {
axis: 1
}
}
layer {
name: "stage3_4/a1"
type: "Convolution"
bottom: "stage3_3"
top: "stage3_4/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_4/a1/bn"
type: "BatchNorm"
bottom: "stage3_4/a1"
top: "stage3_4/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_4/a1/scale"
type: "Scale"
bottom: "stage3_4/a1"
top: "stage3_4/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_4/a1/relu"
type: "ReLU"
bottom: "stage3_4/a1"
top: "stage3_4/a1"
}
layer {
name: "stage3_4/a2"
type: "Convolution"
bottom: "stage3_4/a1"
top: "stage3_4/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_4/a2/bn"
type: "BatchNorm"
bottom: "stage3_4/a2"
top: "stage3_4/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_4/a2/scale"
type: "Scale"
bottom: "stage3_4/a2"
top: "stage3_4/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_4/a2/relu"
type: "ReLU"
bottom: "stage3_4/a2"
top: "stage3_4/a2"
}
layer {
name: "stage3_4/b1"
type: "Convolution"
bottom: "stage3_3"
top: "stage3_4/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_4/b1/bn"
type: "BatchNorm"
bottom: "stage3_4/b1"
top: "stage3_4/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_4/b1/scale"
type: "Scale"
bottom: "stage3_4/b1"
top: "stage3_4/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_4/b1/relu"
type: "ReLU"
bottom: "stage3_4/b1"
top: "stage3_4/b1"
}
layer {
name: "stage3_4/b2"
type: "Convolution"
bottom: "stage3_4/b1"
top: "stage3_4/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_4/b2/bn"
type: "BatchNorm"
bottom: "stage3_4/b2"
top: "stage3_4/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_4/b2/scale"
type: "Scale"
bottom: "stage3_4/b2"
top: "stage3_4/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_4/b2/relu"
type: "ReLU"
bottom: "stage3_4/b2"
top: "stage3_4/b2"
}
layer {
name: "stage3_4/b3"
type: "Convolution"
bottom: "stage3_4/b2"
top: "stage3_4/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_4/b3/bn"
type: "BatchNorm"
bottom: "stage3_4/b3"
top: "stage3_4/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_4/b3/scale"
type: "Scale"
bottom: "stage3_4/b3"
top: "stage3_4/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_4/b3/relu"
type: "ReLU"
bottom: "stage3_4/b3"
top: "stage3_4/b3"
}
layer {
name: "stage3_4"
type: "Concat"
bottom: "stage3_3"
bottom: "stage3_4/a2"
bottom: "stage3_4/b3"
top: "stage3_4"
concat_param {
axis: 1
}
}
layer {
name: "stage3_5/a1"
type: "Convolution"
bottom: "stage3_4"
top: "stage3_5/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_5/a1/bn"
type: "BatchNorm"
bottom: "stage3_5/a1"
top: "stage3_5/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_5/a1/scale"
type: "Scale"
bottom: "stage3_5/a1"
top: "stage3_5/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_5/a1/relu"
type: "ReLU"
bottom: "stage3_5/a1"
top: "stage3_5/a1"
}
layer {
name: "stage3_5/a2"
type: "Convolution"
bottom: "stage3_5/a1"
top: "stage3_5/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_5/a2/bn"
type: "BatchNorm"
bottom: "stage3_5/a2"
top: "stage3_5/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_5/a2/scale"
type: "Scale"
bottom: "stage3_5/a2"
top: "stage3_5/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_5/a2/relu"
type: "ReLU"
bottom: "stage3_5/a2"
top: "stage3_5/a2"
}
layer {
name: "stage3_5/b1"
type: "Convolution"
bottom: "stage3_4"
top: "stage3_5/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_5/b1/bn"
type: "BatchNorm"
bottom: "stage3_5/b1"
top: "stage3_5/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_5/b1/scale"
type: "Scale"
bottom: "stage3_5/b1"
top: "stage3_5/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_5/b1/relu"
type: "ReLU"
bottom: "stage3_5/b1"
top: "stage3_5/b1"
}
layer {
name: "stage3_5/b2"
type: "Convolution"
bottom: "stage3_5/b1"
top: "stage3_5/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_5/b2/bn"
type: "BatchNorm"
bottom: "stage3_5/b2"
top: "stage3_5/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_5/b2/scale"
type: "Scale"
bottom: "stage3_5/b2"
top: "stage3_5/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_5/b2/relu"
type: "ReLU"
bottom: "stage3_5/b2"
top: "stage3_5/b2"
}
layer {
name: "stage3_5/b3"
type: "Convolution"
bottom: "stage3_5/b2"
top: "stage3_5/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_5/b3/bn"
type: "BatchNorm"
bottom: "stage3_5/b3"
top: "stage3_5/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_5/b3/scale"
type: "Scale"
bottom: "stage3_5/b3"
top: "stage3_5/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_5/b3/relu"
type: "ReLU"
bottom: "stage3_5/b3"
top: "stage3_5/b3"
}
layer {
name: "stage3_5"
type: "Concat"
bottom: "stage3_4"
bottom: "stage3_5/a2"
bottom: "stage3_5/b3"
top: "stage3_5"
concat_param {
axis: 1
}
}
layer {
name: "stage3_6/a1"
type: "Convolution"
bottom: "stage3_5"
top: "stage3_6/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_6/a1/bn"
type: "BatchNorm"
bottom: "stage3_6/a1"
top: "stage3_6/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_6/a1/scale"
type: "Scale"
bottom: "stage3_6/a1"
top: "stage3_6/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_6/a1/relu"
type: "ReLU"
bottom: "stage3_6/a1"
top: "stage3_6/a1"
}
layer {
name: "stage3_6/a2"
type: "Convolution"
bottom: "stage3_6/a1"
top: "stage3_6/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_6/a2/bn"
type: "BatchNorm"
bottom: "stage3_6/a2"
top: "stage3_6/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_6/a2/scale"
type: "Scale"
bottom: "stage3_6/a2"
top: "stage3_6/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_6/a2/relu"
type: "ReLU"
bottom: "stage3_6/a2"
top: "stage3_6/a2"
}
layer {
name: "stage3_6/b1"
type: "Convolution"
bottom: "stage3_5"
top: "stage3_6/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_6/b1/bn"
type: "BatchNorm"
bottom: "stage3_6/b1"
top: "stage3_6/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_6/b1/scale"
type: "Scale"
bottom: "stage3_6/b1"
top: "stage3_6/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_6/b1/relu"
type: "ReLU"
bottom: "stage3_6/b1"
top: "stage3_6/b1"
}
layer {
name: "stage3_6/b2"
type: "Convolution"
bottom: "stage3_6/b1"
top: "stage3_6/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_6/b2/bn"
type: "BatchNorm"
bottom: "stage3_6/b2"
top: "stage3_6/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_6/b2/scale"
type: "Scale"
bottom: "stage3_6/b2"
top: "stage3_6/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_6/b2/relu"
type: "ReLU"
bottom: "stage3_6/b2"
top: "stage3_6/b2"
}
layer {
name: "stage3_6/b3"
type: "Convolution"
bottom: "stage3_6/b2"
top: "stage3_6/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_6/b3/bn"
type: "BatchNorm"
bottom: "stage3_6/b3"
top: "stage3_6/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_6/b3/scale"
type: "Scale"
bottom: "stage3_6/b3"
top: "stage3_6/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_6/b3/relu"
type: "ReLU"
bottom: "stage3_6/b3"
top: "stage3_6/b3"
}
layer {
name: "stage3_6"
type: "Concat"
bottom: "stage3_5"
bottom: "stage3_6/a2"
bottom: "stage3_6/b3"
top: "stage3_6"
concat_param {
axis: 1
}
}
layer {
name: "stage3_7/a1"
type: "Convolution"
bottom: "stage3_6"
top: "stage3_7/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_7/a1/bn"
type: "BatchNorm"
bottom: "stage3_7/a1"
top: "stage3_7/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_7/a1/scale"
type: "Scale"
bottom: "stage3_7/a1"
top: "stage3_7/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_7/a1/relu"
type: "ReLU"
bottom: "stage3_7/a1"
top: "stage3_7/a1"
}
layer {
name: "stage3_7/a2"
type: "Convolution"
bottom: "stage3_7/a1"
top: "stage3_7/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_7/a2/bn"
type: "BatchNorm"
bottom: "stage3_7/a2"
top: "stage3_7/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_7/a2/scale"
type: "Scale"
bottom: "stage3_7/a2"
top: "stage3_7/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_7/a2/relu"
type: "ReLU"
bottom: "stage3_7/a2"
top: "stage3_7/a2"
}
layer {
name: "stage3_7/b1"
type: "Convolution"
bottom: "stage3_6"
top: "stage3_7/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_7/b1/bn"
type: "BatchNorm"
bottom: "stage3_7/b1"
top: "stage3_7/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_7/b1/scale"
type: "Scale"
bottom: "stage3_7/b1"
top: "stage3_7/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_7/b1/relu"
type: "ReLU"
bottom: "stage3_7/b1"
top: "stage3_7/b1"
}
layer {
name: "stage3_7/b2"
type: "Convolution"
bottom: "stage3_7/b1"
top: "stage3_7/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_7/b2/bn"
type: "BatchNorm"
bottom: "stage3_7/b2"
top: "stage3_7/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_7/b2/scale"
type: "Scale"
bottom: "stage3_7/b2"
top: "stage3_7/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_7/b2/relu"
type: "ReLU"
bottom: "stage3_7/b2"
top: "stage3_7/b2"
}
layer {
name: "stage3_7/b3"
type: "Convolution"
bottom: "stage3_7/b2"
top: "stage3_7/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_7/b3/bn"
type: "BatchNorm"
bottom: "stage3_7/b3"
top: "stage3_7/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_7/b3/scale"
type: "Scale"
bottom: "stage3_7/b3"
top: "stage3_7/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_7/b3/relu"
type: "ReLU"
bottom: "stage3_7/b3"
top: "stage3_7/b3"
}
layer {
name: "stage3_7"
type: "Concat"
bottom: "stage3_6"
bottom: "stage3_7/a2"
bottom: "stage3_7/b3"
top: "stage3_7"
concat_param {
axis: 1
}
}
layer {
name: "stage3_8/a1"
type: "Convolution"
bottom: "stage3_7"
top: "stage3_8/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_8/a1/bn"
type: "BatchNorm"
bottom: "stage3_8/a1"
top: "stage3_8/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_8/a1/scale"
type: "Scale"
bottom: "stage3_8/a1"
top: "stage3_8/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_8/a1/relu"
type: "ReLU"
bottom: "stage3_8/a1"
top: "stage3_8/a1"
}
layer {
name: "stage3_8/a2"
type: "Convolution"
bottom: "stage3_8/a1"
top: "stage3_8/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_8/a2/bn"
type: "BatchNorm"
bottom: "stage3_8/a2"
top: "stage3_8/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_8/a2/scale"
type: "Scale"
bottom: "stage3_8/a2"
top: "stage3_8/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_8/a2/relu"
type: "ReLU"
bottom: "stage3_8/a2"
top: "stage3_8/a2"
}
layer {
name: "stage3_8/b1"
type: "Convolution"
bottom: "stage3_7"
top: "stage3_8/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_8/b1/bn"
type: "BatchNorm"
bottom: "stage3_8/b1"
top: "stage3_8/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_8/b1/scale"
type: "Scale"
bottom: "stage3_8/b1"
top: "stage3_8/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_8/b1/relu"
type: "ReLU"
bottom: "stage3_8/b1"
top: "stage3_8/b1"
}
layer {
name: "stage3_8/b2"
type: "Convolution"
bottom: "stage3_8/b1"
top: "stage3_8/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_8/b2/bn"
type: "BatchNorm"
bottom: "stage3_8/b2"
top: "stage3_8/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_8/b2/scale"
type: "Scale"
bottom: "stage3_8/b2"
top: "stage3_8/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_8/b2/relu"
type: "ReLU"
bottom: "stage3_8/b2"
top: "stage3_8/b2"
}
layer {
name: "stage3_8/b3"
type: "Convolution"
bottom: "stage3_8/b2"
top: "stage3_8/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3_8/b3/bn"
type: "BatchNorm"
bottom: "stage3_8/b3"
top: "stage3_8/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3_8/b3/scale"
type: "Scale"
bottom: "stage3_8/b3"
top: "stage3_8/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3_8/b3/relu"
type: "ReLU"
bottom: "stage3_8/b3"
top: "stage3_8/b3"
}
layer {
name: "stage3_8"
type: "Concat"
bottom: "stage3_7"
bottom: "stage3_8/a2"
bottom: "stage3_8/b3"
top: "stage3_8"
concat_param {
axis: 1
}
}
layer {
name: "stage3"
type: "Convolution"
bottom: "stage3_8"
top: "stage3"
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage3/bn"
type: "BatchNorm"
bottom: "stage3"
top: "stage3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage3/scale"
type: "Scale"
bottom: "stage3"
top: "stage3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage3/relu"
type: "ReLU"
bottom: "stage3"
top: "stage3"
}
layer {
name: "stage3/pool"
type: "Pooling"
bottom: "stage3"
top: "stage3/pool"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "stage4_1/a1"
type: "Convolution"
bottom: "stage3/pool"
top: "stage4_1/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_1/a1/bn"
type: "BatchNorm"
bottom: "stage4_1/a1"
top: "stage4_1/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_1/a1/scale"
type: "Scale"
bottom: "stage4_1/a1"
top: "stage4_1/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_1/a1/relu"
type: "ReLU"
bottom: "stage4_1/a1"
top: "stage4_1/a1"
}
layer {
name: "stage4_1/a2"
type: "Convolution"
bottom: "stage4_1/a1"
top: "stage4_1/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_1/a2/bn"
type: "BatchNorm"
bottom: "stage4_1/a2"
top: "stage4_1/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_1/a2/scale"
type: "Scale"
bottom: "stage4_1/a2"
top: "stage4_1/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_1/a2/relu"
type: "ReLU"
bottom: "stage4_1/a2"
top: "stage4_1/a2"
}
layer {
name: "stage4_1/b1"
type: "Convolution"
bottom: "stage3/pool"
top: "stage4_1/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_1/b1/bn"
type: "BatchNorm"
bottom: "stage4_1/b1"
top: "stage4_1/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_1/b1/scale"
type: "Scale"
bottom: "stage4_1/b1"
top: "stage4_1/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_1/b1/relu"
type: "ReLU"
bottom: "stage4_1/b1"
top: "stage4_1/b1"
}
layer {
name: "stage4_1/b2"
type: "Convolution"
bottom: "stage4_1/b1"
top: "stage4_1/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_1/b2/bn"
type: "BatchNorm"
bottom: "stage4_1/b2"
top: "stage4_1/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_1/b2/scale"
type: "Scale"
bottom: "stage4_1/b2"
top: "stage4_1/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_1/b2/relu"
type: "ReLU"
bottom: "stage4_1/b2"
top: "stage4_1/b2"
}
layer {
name: "stage4_1/b3"
type: "Convolution"
bottom: "stage4_1/b2"
top: "stage4_1/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_1/b3/bn"
type: "BatchNorm"
bottom: "stage4_1/b3"
top: "stage4_1/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_1/b3/scale"
type: "Scale"
bottom: "stage4_1/b3"
top: "stage4_1/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_1/b3/relu"
type: "ReLU"
bottom: "stage4_1/b3"
top: "stage4_1/b3"
}
layer {
name: "stage4_1"
type: "Concat"
bottom: "stage3/pool"
bottom: "stage4_1/a2"
bottom: "stage4_1/b3"
top: "stage4_1"
concat_param {
axis: 1
}
}
layer {
name: "stage4_2/a1"
type: "Convolution"
bottom: "stage4_1"
top: "stage4_2/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_2/a1/bn"
type: "BatchNorm"
bottom: "stage4_2/a1"
top: "stage4_2/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_2/a1/scale"
type: "Scale"
bottom: "stage4_2/a1"
top: "stage4_2/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_2/a1/relu"
type: "ReLU"
bottom: "stage4_2/a1"
top: "stage4_2/a1"
}
layer {
name: "stage4_2/a2"
type: "Convolution"
bottom: "stage4_2/a1"
top: "stage4_2/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_2/a2/bn"
type: "BatchNorm"
bottom: "stage4_2/a2"
top: "stage4_2/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_2/a2/scale"
type: "Scale"
bottom: "stage4_2/a2"
top: "stage4_2/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_2/a2/relu"
type: "ReLU"
bottom: "stage4_2/a2"
top: "stage4_2/a2"
}
layer {
name: "stage4_2/b1"
type: "Convolution"
bottom: "stage4_1"
top: "stage4_2/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_2/b1/bn"
type: "BatchNorm"
bottom: "stage4_2/b1"
top: "stage4_2/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_2/b1/scale"
type: "Scale"
bottom: "stage4_2/b1"
top: "stage4_2/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_2/b1/relu"
type: "ReLU"
bottom: "stage4_2/b1"
top: "stage4_2/b1"
}
layer {
name: "stage4_2/b2"
type: "Convolution"
bottom: "stage4_2/b1"
top: "stage4_2/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_2/b2/bn"
type: "BatchNorm"
bottom: "stage4_2/b2"
top: "stage4_2/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_2/b2/scale"
type: "Scale"
bottom: "stage4_2/b2"
top: "stage4_2/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_2/b2/relu"
type: "ReLU"
bottom: "stage4_2/b2"
top: "stage4_2/b2"
}
layer {
name: "stage4_2/b3"
type: "Convolution"
bottom: "stage4_2/b2"
top: "stage4_2/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_2/b3/bn"
type: "BatchNorm"
bottom: "stage4_2/b3"
top: "stage4_2/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_2/b3/scale"
type: "Scale"
bottom: "stage4_2/b3"
top: "stage4_2/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_2/b3/relu"
type: "ReLU"
bottom: "stage4_2/b3"
top: "stage4_2/b3"
}
layer {
name: "stage4_2"
type: "Concat"
bottom: "stage4_1"
bottom: "stage4_2/a2"
bottom: "stage4_2/b3"
top: "stage4_2"
concat_param {
axis: 1
}
}
layer {
name: "stage4_3/a1"
type: "Convolution"
bottom: "stage4_2"
top: "stage4_3/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_3/a1/bn"
type: "BatchNorm"
bottom: "stage4_3/a1"
top: "stage4_3/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_3/a1/scale"
type: "Scale"
bottom: "stage4_3/a1"
top: "stage4_3/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_3/a1/relu"
type: "ReLU"
bottom: "stage4_3/a1"
top: "stage4_3/a1"
}
layer {
name: "stage4_3/a2"
type: "Convolution"
bottom: "stage4_3/a1"
top: "stage4_3/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_3/a2/bn"
type: "BatchNorm"
bottom: "stage4_3/a2"
top: "stage4_3/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_3/a2/scale"
type: "Scale"
bottom: "stage4_3/a2"
top: "stage4_3/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_3/a2/relu"
type: "ReLU"
bottom: "stage4_3/a2"
top: "stage4_3/a2"
}
layer {
name: "stage4_3/b1"
type: "Convolution"
bottom: "stage4_2"
top: "stage4_3/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_3/b1/bn"
type: "BatchNorm"
bottom: "stage4_3/b1"
top: "stage4_3/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_3/b1/scale"
type: "Scale"
bottom: "stage4_3/b1"
top: "stage4_3/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_3/b1/relu"
type: "ReLU"
bottom: "stage4_3/b1"
top: "stage4_3/b1"
}
layer {
name: "stage4_3/b2"
type: "Convolution"
bottom: "stage4_3/b1"
top: "stage4_3/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_3/b2/bn"
type: "BatchNorm"
bottom: "stage4_3/b2"
top: "stage4_3/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_3/b2/scale"
type: "Scale"
bottom: "stage4_3/b2"
top: "stage4_3/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_3/b2/relu"
type: "ReLU"
bottom: "stage4_3/b2"
top: "stage4_3/b2"
}
layer {
name: "stage4_3/b3"
type: "Convolution"
bottom: "stage4_3/b2"
top: "stage4_3/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_3/b3/bn"
type: "BatchNorm"
bottom: "stage4_3/b3"
top: "stage4_3/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_3/b3/scale"
type: "Scale"
bottom: "stage4_3/b3"
top: "stage4_3/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_3/b3/relu"
type: "ReLU"
bottom: "stage4_3/b3"
top: "stage4_3/b3"
}
layer {
name: "stage4_3"
type: "Concat"
bottom: "stage4_2"
bottom: "stage4_3/a2"
bottom: "stage4_3/b3"
top: "stage4_3"
concat_param {
axis: 1
}
}
layer {
name: "stage4_4/a1"
type: "Convolution"
bottom: "stage4_3"
top: "stage4_4/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_4/a1/bn"
type: "BatchNorm"
bottom: "stage4_4/a1"
top: "stage4_4/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_4/a1/scale"
type: "Scale"
bottom: "stage4_4/a1"
top: "stage4_4/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_4/a1/relu"
type: "ReLU"
bottom: "stage4_4/a1"
top: "stage4_4/a1"
}
layer {
name: "stage4_4/a2"
type: "Convolution"
bottom: "stage4_4/a1"
top: "stage4_4/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_4/a2/bn"
type: "BatchNorm"
bottom: "stage4_4/a2"
top: "stage4_4/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_4/a2/scale"
type: "Scale"
bottom: "stage4_4/a2"
top: "stage4_4/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_4/a2/relu"
type: "ReLU"
bottom: "stage4_4/a2"
top: "stage4_4/a2"
}
layer {
name: "stage4_4/b1"
type: "Convolution"
bottom: "stage4_3"
top: "stage4_4/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_4/b1/bn"
type: "BatchNorm"
bottom: "stage4_4/b1"
top: "stage4_4/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_4/b1/scale"
type: "Scale"
bottom: "stage4_4/b1"
top: "stage4_4/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_4/b1/relu"
type: "ReLU"
bottom: "stage4_4/b1"
top: "stage4_4/b1"
}
layer {
name: "stage4_4/b2"
type: "Convolution"
bottom: "stage4_4/b1"
top: "stage4_4/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_4/b2/bn"
type: "BatchNorm"
bottom: "stage4_4/b2"
top: "stage4_4/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_4/b2/scale"
type: "Scale"
bottom: "stage4_4/b2"
top: "stage4_4/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_4/b2/relu"
type: "ReLU"
bottom: "stage4_4/b2"
top: "stage4_4/b2"
}
layer {
name: "stage4_4/b3"
type: "Convolution"
bottom: "stage4_4/b2"
top: "stage4_4/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_4/b3/bn"
type: "BatchNorm"
bottom: "stage4_4/b3"
top: "stage4_4/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_4/b3/scale"
type: "Scale"
bottom: "stage4_4/b3"
top: "stage4_4/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_4/b3/relu"
type: "ReLU"
bottom: "stage4_4/b3"
top: "stage4_4/b3"
}
layer {
name: "stage4_4"
type: "Concat"
bottom: "stage4_3"
bottom: "stage4_4/a2"
bottom: "stage4_4/b3"
top: "stage4_4"
concat_param {
axis: 1
}
}
layer {
name: "stage4_5/a1"
type: "Convolution"
bottom: "stage4_4"
top: "stage4_5/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_5/a1/bn"
type: "BatchNorm"
bottom: "stage4_5/a1"
top: "stage4_5/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_5/a1/scale"
type: "Scale"
bottom: "stage4_5/a1"
top: "stage4_5/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_5/a1/relu"
type: "ReLU"
bottom: "stage4_5/a1"
top: "stage4_5/a1"
}
layer {
name: "stage4_5/a2"
type: "Convolution"
bottom: "stage4_5/a1"
top: "stage4_5/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_5/a2/bn"
type: "BatchNorm"
bottom: "stage4_5/a2"
top: "stage4_5/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_5/a2/scale"
type: "Scale"
bottom: "stage4_5/a2"
top: "stage4_5/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_5/a2/relu"
type: "ReLU"
bottom: "stage4_5/a2"
top: "stage4_5/a2"
}
layer {
name: "stage4_5/b1"
type: "Convolution"
bottom: "stage4_4"
top: "stage4_5/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_5/b1/bn"
type: "BatchNorm"
bottom: "stage4_5/b1"
top: "stage4_5/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_5/b1/scale"
type: "Scale"
bottom: "stage4_5/b1"
top: "stage4_5/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_5/b1/relu"
type: "ReLU"
bottom: "stage4_5/b1"
top: "stage4_5/b1"
}
layer {
name: "stage4_5/b2"
type: "Convolution"
bottom: "stage4_5/b1"
top: "stage4_5/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_5/b2/bn"
type: "BatchNorm"
bottom: "stage4_5/b2"
top: "stage4_5/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_5/b2/scale"
type: "Scale"
bottom: "stage4_5/b2"
top: "stage4_5/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_5/b2/relu"
type: "ReLU"
bottom: "stage4_5/b2"
top: "stage4_5/b2"
}
layer {
name: "stage4_5/b3"
type: "Convolution"
bottom: "stage4_5/b2"
top: "stage4_5/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_5/b3/bn"
type: "BatchNorm"
bottom: "stage4_5/b3"
top: "stage4_5/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_5/b3/scale"
type: "Scale"
bottom: "stage4_5/b3"
top: "stage4_5/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_5/b3/relu"
type: "ReLU"
bottom: "stage4_5/b3"
top: "stage4_5/b3"
}
layer {
name: "stage4_5"
type: "Concat"
bottom: "stage4_4"
bottom: "stage4_5/a2"
bottom: "stage4_5/b3"
top: "stage4_5"
concat_param {
axis: 1
}
}
layer {
name: "stage4_6/a1"
type: "Convolution"
bottom: "stage4_5"
top: "stage4_6/a1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_6/a1/bn"
type: "BatchNorm"
bottom: "stage4_6/a1"
top: "stage4_6/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_6/a1/scale"
type: "Scale"
bottom: "stage4_6/a1"
top: "stage4_6/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_6/a1/relu"
type: "ReLU"
bottom: "stage4_6/a1"
top: "stage4_6/a1"
}
layer {
name: "stage4_6/a2"
type: "Convolution"
bottom: "stage4_6/a1"
top: "stage4_6/a2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_6/a2/bn"
type: "BatchNorm"
bottom: "stage4_6/a2"
top: "stage4_6/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_6/a2/scale"
type: "Scale"
bottom: "stage4_6/a2"
top: "stage4_6/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_6/a2/relu"
type: "ReLU"
bottom: "stage4_6/a2"
top: "stage4_6/a2"
}
layer {
name: "stage4_6/b1"
type: "Convolution"
bottom: "stage4_5"
top: "stage4_6/b1"
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_6/b1/bn"
type: "BatchNorm"
bottom: "stage4_6/b1"
top: "stage4_6/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_6/b1/scale"
type: "Scale"
bottom: "stage4_6/b1"
top: "stage4_6/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_6/b1/relu"
type: "ReLU"
bottom: "stage4_6/b1"
top: "stage4_6/b1"
}
layer {
name: "stage4_6/b2"
type: "Convolution"
bottom: "stage4_6/b1"
top: "stage4_6/b2"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_6/b2/bn"
type: "BatchNorm"
bottom: "stage4_6/b2"
top: "stage4_6/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_6/b2/scale"
type: "Scale"
bottom: "stage4_6/b2"
top: "stage4_6/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_6/b2/relu"
type: "ReLU"
bottom: "stage4_6/b2"
top: "stage4_6/b2"
}
layer {
name: "stage4_6/b3"
type: "Convolution"
bottom: "stage4_6/b2"
top: "stage4_6/b3"
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage4_6/b3/bn"
type: "BatchNorm"
bottom: "stage4_6/b3"
top: "stage4_6/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage4_6/b3/scale"
type: "Scale"
bottom: "stage4_6/b3"
top: "stage4_6/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage4_6/b3/relu"
type: "ReLU"
bottom: "stage4_6/b3"
top: "stage4_6/b3"
}
layer {
name: "stage4_6"
type: "Concat"
bottom: "stage4_5"
bottom: "stage4_6/a2"
bottom: "stage4_6/b3"
top: "stage4_6"
concat_param {
axis: 1
}
}
layer {
name: "stage5/a1"
type: "Convolution"
bottom: "stage4_6"
top: "stage5/a1"
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage5/a1/bn"
type: "BatchNorm"
bottom: "stage5/a1"
top: "stage5/a1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage5/a1/scale"
type: "Scale"
bottom: "stage5/a1"
top: "stage5/a1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage5/a1/relu"
type: "ReLU"
bottom: "stage5/a1"
top: "stage5/a1"
}
layer {
name: "stage5/a2"
type: "Convolution"
bottom: "stage5/a1"
top: "stage5/a2"
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage5/a2/bn"
type: "BatchNorm"
bottom: "stage5/a2"
top: "stage5/a2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage5/a2/scale"
type: "Scale"
bottom: "stage5/a2"
top: "stage5/a2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage5/a2/relu"
type: "ReLU"
bottom: "stage5/a2"
top: "stage5/a2"
}
layer {
name: "stage5/b1"
type: "Convolution"
bottom: "stage4_6"
top: "stage5/b1"
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage5/b1/bn"
type: "BatchNorm"
bottom: "stage5/b1"
top: "stage5/b1"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage5/b1/scale"
type: "Scale"
bottom: "stage5/b1"
top: "stage5/b1"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage5/b1/relu"
type: "ReLU"
bottom: "stage5/b1"
top: "stage5/b1"
}
layer {
name: "stage5/b2"
type: "Convolution"
bottom: "stage5/b1"
top: "stage5/b2"
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage5/b2/bn"
type: "BatchNorm"
bottom: "stage5/b2"
top: "stage5/b2"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage5/b2/scale"
type: "Scale"
bottom: "stage5/b2"
top: "stage5/b2"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage5/b2/relu"
type: "ReLU"
bottom: "stage5/b2"
top: "stage5/b2"
}
layer {
name: "stage5/b3"
type: "Convolution"
bottom: "stage5/b2"
top: "stage5/b3"
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage5/b3/bn"
type: "BatchNorm"
bottom: "stage5/b3"
top: "stage5/b3"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage5/b3/scale"
type: "Scale"
bottom: "stage5/b3"
top: "stage5/b3"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage5/b3/relu"
type: "ReLU"
bottom: "stage5/b3"
top: "stage5/b3"
}
layer {
name: "stage5"
type: "Concat"
bottom: "stage4_6"
bottom: "stage5/a2"
bottom: "stage5/b3"
top: "stage5"
concat_param {
axis: 1
}
}
layer {
name: "stage5a"
type: "Convolution"
bottom: "stage5"
top: "stage5a"
convolution_param {
num_output: 512
bias_term: false
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "stage5a/bn"
type: "BatchNorm"
bottom: "stage5a"
top: "stage5a"
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
}
batch_norm_param {
moving_average_fraction: 0.999000012875
eps: 0.0010000000475
}
}
layer {
name: "stage5a/scale"
type: "Scale"
bottom: "stage5a"
top: "stage5a"
scale_param {
filler {
value: 1.0
}
bias_term: true
bias_filler {
value: 0.0
}
}
}
layer {
name: "stage5a/relu"
type: "ReLU"
bottom: "stage5a"
top: "stage5a"
}
layer {
name: "conv_indoor"
type: "Convolution"
bottom: "stage5a"
top: "conv_indoor"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 125
kernel_size: 1
pad: 0
stride: 1
weight_filler {
type: "msra"
}
bias_filler {
value: 0
}
}
}
layer {
name: "Region_Loss"
type: "RegionLoss"
bottom: "conv_indoor"
bottom: "label"
top: "det_loss1"
loss_weight: 1
region_loss_param {
side: 13
num_class: 20
coords: 4
num: 5
softmax: 1
jitter: 0.2
rescore: 1
object_scale: 5.0
noobject_scale: 1.0
class_scale: 1.0
coord_scale: 1.0
absolute: 1
thresh: 0.6
random: 0
biases: 1.08
biases: 1.19
biases: 3.42
biases: 4.41
biases: 6.63
biases: 11.38
biases: 9.42
biases: 5.11
biases: 16.62
biases: 10.52
}
}
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