Skip to content

Instantly share code, notes, and snippets.

@sriharsha0806

sriharsha0806/ICNET_bnn

Last active December 24, 2017 12:13
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save sriharsha0806/1fbe797b360ae3611874584a71734062 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save sriharsha0806/1fbe797b360ae3611874584a71734062 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
ICNET_bnn
#
input: "data"
input_dim: 1
input_dim: 3
input_dim: 1024
input_dim: 2048
layer {
name: "data_sub1"
type: "Scale"
bottom: "data"
top: "data_sub1"
}
layer {
name: "data_sub2"
type: "Interp"
bottom: "data_sub1"
top: "data_sub2"
interp_param {
shrink_factor: 2
}
}
## NETWORK ###
layer {
name: "conv1_1_3x3_s2"
type: "Convolution"
bottom: "data_sub2"
top: "conv1_1_3x3_s2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv1_1_3x3_s2/bn"
type: "BN"
bottom: "conv1_1_3x3_s2"
top: "conv1_1_3x3_s2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv1_1_3x3_s2/relu"
type: "ReLU"
bottom: "conv1_1_3x3_s2"
top: "conv1_1_3x3_s2"
}
layer {
name: "conv1_2_3x3"
type: "Convolution"
bottom: "conv1_1_3x3_s2"
top: "conv1_2_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv1_2_3x3/bn"
type: "BN"
bottom: "conv1_2_3x3"
top: "conv1_2_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv1_2_3x3/relu"
type: "ReLU"
bottom: "conv1_2_3x3"
top: "conv1_2_3x3"
}
layer {
name: "conv1_3_3x3"
type: "Convolution"
bottom: "conv1_2_3x3"
top: "conv1_3_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv1_3_3x3/bn"
type: "BN"
bottom: "conv1_3_3x3"
top: "conv1_3_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv1_3_3x3/relu"
type: "ReLU"
bottom: "conv1_3_3x3"
top: "conv1_3_3x3"
}
layer {
name: "pool1_3x3_s2"
type: "Pooling"
bottom: "conv1_3_3x3"
top: "pool1_3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
pad: 1
}
}
layer {
name: "conv2_1_1x1_reduce"
type: "Convolution"
bottom: "pool1_3x3_s2"
top: "conv2_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_1x1_reduce/bn"
type: "BN"
bottom: "conv2_1_1x1_reduce"
top: "conv2_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1_1x1_reduce/relu"
type: "ReLU"
bottom: "conv2_1_1x1_reduce"
top: "conv2_1_1x1_reduce"
}
layer {
name: "conv2_1_3x3"
type: "Convolution"
bottom: "conv2_1_1x1_reduce"
top: "conv2_1_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_3x3/bn"
type: "BN"
bottom: "conv2_1_3x3"
top: "conv2_1_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1_3x3/relu"
type: "ReLU"
bottom: "conv2_1_3x3"
top: "conv2_1_3x3"
}
layer {
name: "conv2_1_1x1_increase"
type: "Convolution"
bottom: "conv2_1_3x3"
top: "conv2_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_1x1_increase/bn"
type: "BN"
bottom: "conv2_1_1x1_increase"
top: "conv2_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1_1x1_proj"
type: "Convolution"
bottom: "pool1_3x3_s2"
top: "conv2_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_1x1_proj/bn"
type: "BN"
bottom: "conv2_1_1x1_proj"
top: "conv2_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1"
type: "Eltwise"
bottom: "conv2_1_1x1_proj"
bottom: "conv2_1_1x1_increase"
top: "conv2_1"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv2_1/relu"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2_1x1_reduce"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_2_1x1_reduce/bn"
type: "BN"
bottom: "conv2_2_1x1_reduce"
top: "conv2_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_2_1x1_reduce/relu"
type: "ReLU"
bottom: "conv2_2_1x1_reduce"
top: "conv2_2_1x1_reduce"
}
layer {
name: "conv2_2_3x3"
type: "Convolution"
bottom: "conv2_2_1x1_reduce"
top: "conv2_2_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_2_3x3/bn"
type: "BN"
bottom: "conv2_2_3x3"
top: "conv2_2_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_2_3x3/relu"
type: "ReLU"
bottom: "conv2_2_3x3"
top: "conv2_2_3x3"
}
layer {
name: "conv2_2_1x1_increase"
type: "Convolution"
bottom: "conv2_2_3x3"
top: "conv2_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_2_1x1_increase/bn"
type: "BN"
bottom: "conv2_2_1x1_increase"
top: "conv2_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_2"
type: "Eltwise"
bottom: "conv2_1"
bottom: "conv2_2_1x1_increase"
top: "conv2_2"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv2_2/relu"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "conv2_3_1x1_reduce"
type: "Convolution"
bottom: "conv2_2"
top: "conv2_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_3_1x1_reduce/bn"
type: "BN"
bottom: "conv2_3_1x1_reduce"
top: "conv2_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_3_1x1_reduce/relu"
type: "ReLU"
bottom: "conv2_3_1x1_reduce"
top: "conv2_3_1x1_reduce"
}
layer {
name: "conv2_3_3x3"
type: "Convolution"
bottom: "conv2_3_1x1_reduce"
top: "conv2_3_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_3_3x3/bn"
type: "BN"
bottom: "conv2_3_3x3"
top: "conv2_3_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_3_3x3/relu"
type: "ReLU"
bottom: "conv2_3_3x3"
top: "conv2_3_3x3"
}
layer {
name: "conv2_3_1x1_increase"
type: "Convolution"
bottom: "conv2_3_3x3"
top: "conv2_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_3_1x1_increase/bn"
type: "BN"
bottom: "conv2_3_1x1_increase"
top: "conv2_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_3"
type: "Eltwise"
bottom: "conv2_2"
bottom: "conv2_3_1x1_increase"
top: "conv2_3"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv2_3/relu"
type: "ReLU"
bottom: "conv2_3"
top: "conv2_3"
}
layer {
name: "conv3_1_1x1_reduce"
type: "Convolution"
bottom: "conv2_3"
top: "conv3_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 1
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_1x1_reduce/bn"
type: "BN"
bottom: "conv3_1_1x1_reduce"
top: "conv3_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_1_1x1_reduce"
top: "conv3_1_1x1_reduce"
}
layer {
name: "conv3_1_3x3"
type: "Convolution"
bottom: "conv3_1_1x1_reduce"
top: "conv3_1_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_3x3/bn"
type: "BN"
bottom: "conv3_1_3x3"
top: "conv3_1_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1_3x3/relu"
type: "ReLU"
bottom: "conv3_1_3x3"
top: "conv3_1_3x3"
}
layer {
name: "conv3_1_1x1_increase"
type: "Convolution"
bottom: "conv3_1_3x3"
top: "conv3_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_1x1_increase/bn"
type: "BN"
bottom: "conv3_1_1x1_increase"
top: "conv3_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1_1x1_proj"
type: "Convolution"
bottom: "conv2_3"
top: "conv3_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_1x1_proj/bn"
type: "BN"
bottom: "conv3_1_1x1_proj"
top: "conv3_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1"
type: "Eltwise"
bottom: "conv3_1_1x1_proj"
bottom: "conv3_1_1x1_increase"
top: "conv3_1"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_1/relu"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_1_sub4"
type: "Interp"
bottom: "conv3_1"
top: "conv3_1_sub4"
interp_param {
shrink_factor: 2
}
}
layer {
name: "conv3_2_1x1_reduce"
type: "Convolution"
bottom: "conv3_1_sub4"
top: "conv3_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_2_1x1_reduce/bn"
type: "BN"
bottom: "conv3_2_1x1_reduce"
top: "conv3_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_2_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_2_1x1_reduce"
top: "conv3_2_1x1_reduce"
}
layer {
name: "conv3_2_3x3"
type: "Convolution"
bottom: "conv3_2_1x1_reduce"
top: "conv3_2_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_2_3x3/bn"
type: "BN"
bottom: "conv3_2_3x3"
top: "conv3_2_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_2_3x3/relu"
type: "ReLU"
bottom: "conv3_2_3x3"
top: "conv3_2_3x3"
}
layer {
name: "conv3_2_1x1_increase"
type: "Convolution"
bottom: "conv3_2_3x3"
top: "conv3_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_2_1x1_increase/bn"
type: "BN"
bottom: "conv3_2_1x1_increase"
top: "conv3_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_2"
type: "Eltwise"
bottom: "conv3_1_sub4"
bottom: "conv3_2_1x1_increase"
top: "conv3_2"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_2/relu"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3_1x1_reduce"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_3_1x1_reduce/bn"
type: "BN"
bottom: "conv3_3_1x1_reduce"
top: "conv3_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_3_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_3_1x1_reduce"
top: "conv3_3_1x1_reduce"
}
layer {
name: "conv3_3_3x3"
type: "Convolution"
bottom: "conv3_3_1x1_reduce"
top: "conv3_3_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_3_3x3/bn"
type: "BN"
bottom: "conv3_3_3x3"
top: "conv3_3_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_3_3x3/relu"
type: "ReLU"
bottom: "conv3_3_3x3"
top: "conv3_3_3x3"
}
layer {
name: "conv3_3_1x1_increase"
type: "Convolution"
bottom: "conv3_3_3x3"
top: "conv3_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_3_1x1_increase/bn"
type: "BN"
bottom: "conv3_3_1x1_increase"
top: "conv3_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_3"
type: "Eltwise"
bottom: "conv3_2"
bottom: "conv3_3_1x1_increase"
top: "conv3_3"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_3/relu"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "conv3_4_1x1_reduce"
type: "Convolution"
bottom: "conv3_3"
top: "conv3_4_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_4_1x1_reduce/bn"
type: "BN"
bottom: "conv3_4_1x1_reduce"
top: "conv3_4_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_4_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_4_1x1_reduce"
top: "conv3_4_1x1_reduce"
}
layer {
name: "conv3_4_3x3"
type: "Convolution"
bottom: "conv3_4_1x1_reduce"
top: "conv3_4_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_4_3x3/bn"
type: "BN"
bottom: "conv3_4_3x3"
top: "conv3_4_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_4_3x3/relu"
type: "ReLU"
bottom: "conv3_4_3x3"
top: "conv3_4_3x3"
}
layer {
name: "conv3_4_1x1_increase"
type: "Convolution"
bottom: "conv3_4_3x3"
top: "conv3_4_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_4_1x1_increase/bn"
type: "BN"
bottom: "conv3_4_1x1_increase"
top: "conv3_4_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_4"
type: "Eltwise"
bottom: "conv3_3"
bottom: "conv3_4_1x1_increase"
top: "conv3_4"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_4/relu"
type: "ReLU"
bottom: "conv3_4"
top: "conv3_4"
}
layer {
name: "conv4_1_1x1_reduce"
type: "Convolution"
bottom: "conv3_4"
top: "conv4_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_1x1_reduce/bn"
type: "BN"
bottom: "conv4_1_1x1_reduce"
top: "conv4_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_1_1x1_reduce"
top: "conv4_1_1x1_reduce"
}
layer {
name: "conv4_1_3x3"
type: "Convolution"
bottom: "conv4_1_1x1_reduce"
top: "conv4_1_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_3x3/bn"
type: "BN"
bottom: "conv4_1_3x3"
top: "conv4_1_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1_3x3/relu"
type: "ReLU"
bottom: "conv4_1_3x3"
top: "conv4_1_3x3"
}
layer {
name: "conv4_1_1x1_increase"
type: "Convolution"
bottom: "conv4_1_3x3"
top: "conv4_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_1x1_increase/bn"
type: "BN"
bottom: "conv4_1_1x1_increase"
top: "conv4_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1_1x1_proj"
type: "Convolution"
bottom: "conv3_4"
top: "conv4_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_1x1_proj/bn"
type: "BN"
bottom: "conv4_1_1x1_proj"
top: "conv4_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1"
type: "Eltwise"
bottom: "conv4_1_1x1_proj"
bottom: "conv4_1_1x1_increase"
top: "conv4_1"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_1/relu"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2_1x1_reduce"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_2_1x1_reduce/bn"
type: "BN"
bottom: "conv4_2_1x1_reduce"
top: "conv4_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_2_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_2_1x1_reduce"
top: "conv4_2_1x1_reduce"
}
layer {
name: "conv4_2_3x3"
type: "Convolution"
bottom: "conv4_2_1x1_reduce"
top: "conv4_2_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_2_3x3/bn"
type: "BN"
bottom: "conv4_2_3x3"
top: "conv4_2_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_2_3x3/relu"
type: "ReLU"
bottom: "conv4_2_3x3"
top: "conv4_2_3x3"
}
layer {
name: "conv4_2_1x1_increase"
type: "Convolution"
bottom: "conv4_2_3x3"
top: "conv4_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_2_1x1_increase/bn"
type: "BN"
bottom: "conv4_2_1x1_increase"
top: "conv4_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_2"
type: "Eltwise"
bottom: "conv4_1"
bottom: "conv4_2_1x1_increase"
top: "conv4_2"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_2/relu"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3_1x1_reduce"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_3_1x1_reduce/bn"
type: "BN"
bottom: "conv4_3_1x1_reduce"
top: "conv4_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_3_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_3_1x1_reduce"
top: "conv4_3_1x1_reduce"
}
layer {
name: "conv4_3_3x3"
type: "Convolution"
bottom: "conv4_3_1x1_reduce"
top: "conv4_3_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_3_3x3/bn"
type: "BN"
bottom: "conv4_3_3x3"
top: "conv4_3_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_3_3x3/relu"
type: "ReLU"
bottom: "conv4_3_3x3"
top: "conv4_3_3x3"
}
layer {
name: "conv4_3_1x1_increase"
type: "Convolution"
bottom: "conv4_3_3x3"
top: "conv4_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_3_1x1_increase/bn"
type: "BN"
bottom: "conv4_3_1x1_increase"
top: "conv4_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_3"
type: "Eltwise"
bottom: "conv4_2"
bottom: "conv4_3_1x1_increase"
top: "conv4_3"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_3/relu"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "conv4_4_1x1_reduce"
type: "Convolution"
bottom: "conv4_3"
top: "conv4_4_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_4_1x1_reduce/bn"
type: "BN"
bottom: "conv4_4_1x1_reduce"
top: "conv4_4_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_4_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_4_1x1_reduce"
top: "conv4_4_1x1_reduce"
}
layer {
name: "conv4_4_3x3"
type: "Convolution"
bottom: "conv4_4_1x1_reduce"
top: "conv4_4_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_4_3x3/bn"
type: "BN"
bottom: "conv4_4_3x3"
top: "conv4_4_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_4_3x3/relu"
type: "ReLU"
bottom: "conv4_4_3x3"
top: "conv4_4_3x3"
}
layer {
name: "conv4_4_1x1_increase"
type: "Convolution"
bottom: "conv4_4_3x3"
top: "conv4_4_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_4_1x1_increase/bn"
type: "BN"
bottom: "conv4_4_1x1_increase"
top: "conv4_4_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_4"
type: "Eltwise"
bottom: "conv4_3"
bottom: "conv4_4_1x1_increase"
top: "conv4_4"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_4/relu"
type: "ReLU"
bottom: "conv4_4"
top: "conv4_4"
}
layer {
name: "conv4_5_1x1_reduce"
type: "Convolution"
bottom: "conv4_4"
top: "conv4_5_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_5_1x1_reduce/bn"
type: "BN"
bottom: "conv4_5_1x1_reduce"
top: "conv4_5_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_5_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_5_1x1_reduce"
top: "conv4_5_1x1_reduce"
}
layer {
name: "conv4_5_3x3"
type: "Convolution"
bottom: "conv4_5_1x1_reduce"
top: "conv4_5_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_5_3x3/bn"
type: "BN"
bottom: "conv4_5_3x3"
top: "conv4_5_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_5_3x3/relu"
type: "ReLU"
bottom: "conv4_5_3x3"
top: "conv4_5_3x3"
}
layer {
name: "conv4_5_1x1_increase"
type: "Convolution"
bottom: "conv4_5_3x3"
top: "conv4_5_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_5_1x1_increase/bn"
type: "BN"
bottom: "conv4_5_1x1_increase"
top: "conv4_5_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_5"
type: "Eltwise"
bottom: "conv4_4"
bottom: "conv4_5_1x1_increase"
top: "conv4_5"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_5/relu"
type: "ReLU"
bottom: "conv4_5"
top: "conv4_5"
}
layer {
name: "conv4_6_1x1_reduce"
type: "Convolution"
bottom: "conv4_5"
top: "conv4_6_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_6_1x1_reduce/bn"
type: "BN"
bottom: "conv4_6_1x1_reduce"
top: "conv4_6_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_6_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_6_1x1_reduce"
top: "conv4_6_1x1_reduce"
}
layer {
name: "conv4_6_3x3"
type: "Convolution"
bottom: "conv4_6_1x1_reduce"
top: "conv4_6_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_6_3x3/bn"
type: "BN"
bottom: "conv4_6_3x3"
top: "conv4_6_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_6_3x3/relu"
type: "ReLU"
bottom: "conv4_6_3x3"
top: "conv4_6_3x3"
}
layer {
name: "conv4_6_1x1_increase"
type: "Convolution"
bottom: "conv4_6_3x3"
top: "conv4_6_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_6_1x1_increase/bn"
type: "BN"
bottom: "conv4_6_1x1_increase"
top: "conv4_6_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_6"
type: "Eltwise"
bottom: "conv4_5"
bottom: "conv4_6_1x1_increase"
top: "conv4_6"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_6/relu"
type: "ReLU"
bottom: "conv4_6"
top: "conv4_6"
}
layer {
name: "conv5_1_1x1_reduce"
type: "Convolution"
bottom: "conv4_6"
top: "conv5_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_1_1x1_reduce/bn"
type: "BN"
bottom: "conv5_1_1x1_reduce"
top: "conv5_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_1_1x1_reduce/relu"
type: "ReLU"
bottom: "conv5_1_1x1_reduce"
top: "conv5_1_1x1_reduce"
}
layer {
name: "conv5_1_3x3"
type: "Convolution"
bottom: "conv5_1_1x1_reduce"
top: "conv5_1_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 4
dilation: 4
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_1_3x3/bn"
type: "BN"
bottom: "conv5_1_3x3"
top: "conv5_1_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_1_3x3/relu"
type: "ReLU"
bottom: "conv5_1_3x3"
top: "conv5_1_3x3"
}
layer {
name: "conv5_1_1x1_increase"
type: "Convolution"
bottom: "conv5_1_3x3"
top: "conv5_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_1_1x1_increase/bn"
type: "BN"
bottom: "conv5_1_1x1_increase"
top: "conv5_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_1_1x1_proj"
type: "Convolution"
bottom: "conv4_6"
top: "conv5_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_1_1x1_proj/bn"
type: "BN"
bottom: "conv5_1_1x1_proj"
top: "conv5_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_1"
type: "Eltwise"
bottom: "conv5_1_1x1_proj"
bottom: "conv5_1_1x1_increase"
top: "conv5_1"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv5_1/relu"
type: "ReLU"
bottom: "conv5_1"
top: "conv5_1"
}
layer {
name: "conv5_2_1x1_reduce"
type: "Convolution"
bottom: "conv5_1"
top: "conv5_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_2_1x1_reduce/bn"
type: "BN"
bottom: "conv5_2_1x1_reduce"
top: "conv5_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_2_1x1_reduce/relu"
type: "ReLU"
bottom: "conv5_2_1x1_reduce"
top: "conv5_2_1x1_reduce"
}
layer {
name: "conv5_2_3x3"
type: "Convolution"
bottom: "conv5_2_1x1_reduce"
top: "conv5_2_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 4
dilation: 4
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_2_3x3/bn"
type: "BN"
bottom: "conv5_2_3x3"
top: "conv5_2_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_2_3x3/relu"
type: "ReLU"
bottom: "conv5_2_3x3"
top: "conv5_2_3x3"
}
layer {
name: "conv5_2_1x1_increase"
type: "Convolution"
bottom: "conv5_2_3x3"
top: "conv5_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_2_1x1_increase/bn"
type: "BN"
bottom: "conv5_2_1x1_increase"
top: "conv5_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_2"
type: "Eltwise"
bottom: "conv5_1"
bottom: "conv5_2_1x1_increase"
top: "conv5_2"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv5_2/relu"
type: "ReLU"
bottom: "conv5_2"
top: "conv5_2"
}
layer {
name: "conv5_3_1x1_reduce"
type: "Convolution"
bottom: "conv5_2"
top: "conv5_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_3_1x1_reduce/bn"
type: "BN"
bottom: "conv5_3_1x1_reduce"
top: "conv5_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_3_1x1_reduce/relu"
type: "ReLU"
bottom: "conv5_3_1x1_reduce"
top: "conv5_3_1x1_reduce"
}
layer {
name: "conv5_3_3x3"
type: "Convolution"
bottom: "conv5_3_1x1_reduce"
top: "conv5_3_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 4
dilation: 4
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_3_3x3/bn"
type: "BN"
bottom: "conv5_3_3x3"
top: "conv5_3_3x3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_3_3x3/relu"
type: "ReLU"
bottom: "conv5_3_3x3"
top: "conv5_3_3x3"
}
layer {
name: "conv5_3_1x1_increase"
type: "Convolution"
bottom: "conv5_3_3x3"
top: "conv5_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_3_1x1_increase/bn"
type: "BN"
bottom: "conv5_3_1x1_increase"
top: "conv5_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_3"
type: "Eltwise"
bottom: "conv5_2"
bottom: "conv5_3_1x1_increase"
top: "conv5_3"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv5_3/relu"
type: "ReLU"
bottom: "conv5_3"
top: "conv5_3"
}
layer {
name: "conv5_3_pool1"
type: "Pooling"
bottom: "conv5_3"
top: "conv5_3_pool1"
pooling_param {
pool: AVE
kernel_h: 33
kernel_w: 65
stride_h: 33
stride_w: 65
}
}
layer {
name: "conv5_3_pool1_interp"
type: "Interp"
bottom: "conv5_3_pool1"
top: "conv5_3_pool1_interp"
interp_param {
height: 33
width: 65
}
}
layer {
name: "conv5_3_pool2"
type: "Pooling"
bottom: "conv5_3"
top: "conv5_3_pool2"
pooling_param {
pool: AVE
kernel_h: 17
kernel_w: 33
stride_h: 16
stride_w: 32
}
}
layer {
name: "conv5_3_pool2_interp"
type: "Interp"
bottom: "conv5_3_pool2"
top: "conv5_3_pool2_interp"
interp_param {
height: 33
width: 65
}
}
layer {
name: "conv5_3_pool3"
type: "Pooling"
bottom: "conv5_3"
top: "conv5_3_pool3"
pooling_param {
pool: AVE
kernel_h: 13
kernel_w: 25
stride_h: 10
stride_w: 20
}
}
layer {
name: "conv5_3_pool3_interp"
type: "Interp"
bottom: "conv5_3_pool3"
top: "conv5_3_pool3_interp"
interp_param {
height: 33
width: 65
}
}
layer {
name: "conv5_3_pool6"
type: "Pooling"
bottom: "conv5_3"
top: "conv5_3_pool6"
pooling_param {
pool: AVE
kernel_h: 8
kernel_w: 15
stride_h: 5
stride_w: 10
}
}
layer {
name: "conv5_3_pool6_interp"
type: "Interp"
bottom: "conv5_3_pool6"
top: "conv5_3_pool6_interp"
interp_param {
height: 33
width: 65
}
}
layer {
name: "conv5_3_sum"
type: "Eltwise"
bottom: "conv5_3"
bottom: "conv5_3_pool6_interp"
bottom: "conv5_3_pool3_interp"
bottom: "conv5_3_pool2_interp"
bottom: "conv5_3_pool1_interp"
top: "conv5_3_sum"
}
layer {
name: "conv5_4_k1"
type: "Convolution"
bottom: "conv5_3_sum"
top: "conv5_4_k1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv5_4_k1/bn"
type: "BN"
bottom: "conv5_4_k1"
top: "conv5_4_k1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv5_4_k1/relu"
type: "ReLU"
bottom: "conv5_4_k1"
top: "conv5_4_k1"
}
layer {
name: "conv5_4_interp"
type: "Interp"
bottom: "conv5_4_k1"
top: "conv5_4_interp"
interp_param {
zoom_factor: 2
}
}
layer {
name: "conv_sub4"
type: "Convolution"
bottom: "conv5_4_interp"
top: "conv_sub4"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
stride: 1
pad: 2
dilation: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv_sub4/bn"
type: "BN"
bottom: "conv_sub4"
top: "conv_sub4"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
####################sub2####################
layer {
name: "conv3_1_sub2_proj"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_1_sub2_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_sub2_proj/bn"
type: "BN"
bottom: "conv3_1_sub2_proj"
top: "conv3_1_sub2_proj"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "sub24_sum"
type: "Eltwise"
bottom: "conv3_1_sub2_proj"
bottom: "conv_sub4"
top: "sub24_sum"
}
layer {
name: "sub24_sum/relu"
type: "ReLU"
bottom: "sub24_sum"
top: "sub24_sum"
}
layer {
name: "sub24_sum_interp"
type: "Interp"
bottom: "sub24_sum"
top: "sub24_sum_interp"
interp_param {
zoom_factor: 2
}
}
layer {
name: "conv_sub2"
type: "Convolution"
bottom: "sub24_sum_interp"
top: "conv_sub2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
stride: 1
pad: 2
dilation: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv_sub2/bn"
type: "BN"
bottom: "conv_sub2"
top: "conv_sub2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
####################sub1####################
layer {
name: "conv1_sub1"
type: "Convolution"
bottom: "data_sub1"
top: "conv1_sub1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv1_sub1/bn"
type: "BN"
bottom: "conv1_sub1"
top: "conv1_sub1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv1_sub1/relu"
type: "ReLU"
bottom: "conv1_sub1"
top: "conv1_sub1"
}
layer {
name: "conv2_sub1"
type: "Convolution"
bottom: "conv1_sub1"
top: "conv2_sub1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_sub1/bn"
type: "BN"
bottom: "conv2_sub1"
top: "conv2_sub1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_sub1/relu"
type: "ReLU"
bottom: "conv2_sub1"
top: "conv2_sub1"
}
layer {
name: "conv3_sub1"
type: "Convolution"
bottom: "conv2_sub1"
top: "conv3_sub1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_sub1/bn"
type: "BN"
bottom: "conv3_sub1"
top: "conv3_sub1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_sub1/relu"
type: "ReLU"
bottom: "conv3_sub1"
top: "conv3_sub1"
}
layer {
name: "conv3_sub1_proj"
type: "Convolution"
bottom: "conv3_sub1"
top: "conv3_sub1_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_sub1_proj/bn"
type: "BN"
bottom: "conv3_sub1_proj"
top: "conv3_sub1_proj"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "sub12_sum"
type: "Eltwise"
bottom: "conv3_sub1_proj"
bottom: "conv_sub2"
top: "sub12_sum"
}
layer {
name: "sub12_sum/relu"
type: "ReLU"
bottom: "sub12_sum"
top: "sub12_sum"
}
layer {
name: "sub12_sum_interp"
type: "Interp"
bottom: "sub12_sum"
top: "sub12_sum_interp"
interp_param {
zoom_factor: 2
}
}
layer {
name: "conv6_cls"
type: "Convolution"
bottom: "sub12_sum_interp"
top: "conv6_cls"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 1
}
convolution_param {
num_output: 19
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv6_interp"
type: "Interp"
bottom: "conv6_cls"
top: "conv6_interp"
interp_param {
zoom_factor: 4
}
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment