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@jaypatravali
Last active September 26, 2017 21:32
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name: "Deeplab_V2_resnet100"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 321
input_dim: 321
input: "data_res05"
input_dim: 1
input_dim: 3
input_dim: 160
input_dim: 160
input: "data_res075"
input_dim: 1
input_dim: 3
input_dim: 240
input_dim: 240
###################### resolution 1 #####################
layer {
bottom: "data"
top: "conv1"
name: "conv1"
type: "Convolution"
param {
name: "conv1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 7
pad: 3
stride: 2
bias_term: false
}
}
layer {
bottom: "conv1"
top: "conv1"
name: "bn_conv1"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn_conv1_0"
lr_mult: 0
}
param {
name: "bn_conv1_1"
lr_mult: 0
}
param {
name: "bn_conv1_2"
lr_mult: 0
}
}
layer {
bottom: "conv1"
top: "conv1"
name: "scale_conv1"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale_conv1_0"
lr_mult: 0
}
param {
name: "scale_conv1_1"
lr_mult: 0
}
}
layer {
top: "conv1"
bottom: "conv1"
name: "conv1_relu"
type: "ReLU"
}
layer {
bottom: "conv1"
top: "pool1"
name: "pool1"
type: "Pooling"
pooling_param {
kernel_size: 3
stride: 2
pad: 1
pool: MAX
}
}
layer {
bottom: "pool1"
top: "res2a_branch1"
name: "res2a_branch1"
type: "Convolution"
param {
name: "res2a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch1"
top: "res2a_branch1"
name: "bn2a_branch1"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch1_0"
lr_mult: 0
}
param {
name: "bn2a_branch1_1"
lr_mult: 0
}
param {
name: "bn2a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch1"
top: "res2a_branch1"
name: "scale2a_branch1"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch1_0"
lr_mult: 0
}
param {
name: "scale2a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "pool1"
top: "res2a_branch2a"
name: "res2a_branch2a"
type: "Convolution"
param {
name: "res2a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2a"
top: "res2a_branch2a"
name: "bn2a_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2a_0"
lr_mult: 0
}
param {
name: "bn2a_branch2a_1"
lr_mult: 0
}
param {
name: "bn2a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2a"
top: "res2a_branch2a"
name: "scale2a_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2a_0"
lr_mult: 0
}
param {
name: "scale2a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2a_branch2a"
bottom: "res2a_branch2a"
name: "res2a_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res2a_branch2a"
top: "res2a_branch2b"
name: "res2a_branch2b"
type: "Convolution"
param {
name: "res2a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2b"
top: "res2a_branch2b"
name: "bn2a_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2b_0"
lr_mult: 0
}
param {
name: "bn2a_branch2b_1"
lr_mult: 0
}
param {
name: "bn2a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2b"
top: "res2a_branch2b"
name: "scale2a_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2b_0"
lr_mult: 0
}
param {
name: "scale2a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2a_branch2b"
bottom: "res2a_branch2b"
name: "res2a_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res2a_branch2b"
top: "res2a_branch2c"
name: "res2a_branch2c"
type: "Convolution"
param {
name: "res2a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2c"
top: "res2a_branch2c"
name: "bn2a_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2c_0"
lr_mult: 0
}
param {
name: "bn2a_branch2c_1"
lr_mult: 0
}
param {
name: "bn2a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2c"
top: "res2a_branch2c"
name: "scale2a_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2c_0"
lr_mult: 0
}
param {
name: "scale2a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch1"
bottom: "res2a_branch2c"
top: "res2a"
name: "res2a"
type: "Eltwise"
}
layer {
bottom: "res2a"
top: "res2a"
name: "res2a_relu"
type: "ReLU"
}
layer {
bottom: "res2a"
top: "res2b_branch2a"
name: "res2b_branch2a"
type: "Convolution"
param {
name: "res2b_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2a"
top: "res2b_branch2a"
name: "bn2b_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2a_0"
lr_mult: 0
}
param {
name: "bn2b_branch2a_1"
lr_mult: 0
}
param {
name: "bn2b_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2a"
top: "res2b_branch2a"
name: "scale2b_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2a_0"
lr_mult: 0
}
param {
name: "scale2b_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2b_branch2a"
bottom: "res2b_branch2a"
name: "res2b_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res2b_branch2a"
top: "res2b_branch2b"
name: "res2b_branch2b"
type: "Convolution"
param {
name: "res2b_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2b"
top: "res2b_branch2b"
name: "bn2b_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2b_0"
lr_mult: 0
}
param {
name: "bn2b_branch2b_1"
lr_mult: 0
}
param {
name: "bn2b_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2b"
top: "res2b_branch2b"
name: "scale2b_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2b_0"
lr_mult: 0
}
param {
name: "scale2b_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2b_branch2b"
bottom: "res2b_branch2b"
name: "res2b_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res2b_branch2b"
top: "res2b_branch2c"
name: "res2b_branch2c"
type: "Convolution"
param {
name: "res2b_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2c"
top: "res2b_branch2c"
name: "bn2b_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2c_0"
lr_mult: 0
}
param {
name: "bn2b_branch2c_1"
lr_mult: 0
}
param {
name: "bn2b_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2c"
top: "res2b_branch2c"
name: "scale2b_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2c_0"
lr_mult: 0
}
param {
name: "scale2b_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2a"
bottom: "res2b_branch2c"
top: "res2b"
name: "res2b"
type: "Eltwise"
}
layer {
bottom: "res2b"
top: "res2b"
name: "res2b_relu"
type: "ReLU"
}
layer {
bottom: "res2b"
top: "res2c_branch2a"
name: "res2c_branch2a"
type: "Convolution"
param {
name: "res2c_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2a"
top: "res2c_branch2a"
name: "bn2c_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2a_0"
lr_mult: 0
}
param {
name: "bn2c_branch2a_1"
lr_mult: 0
}
param {
name: "bn2c_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2a"
top: "res2c_branch2a"
name: "scale2c_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2a_0"
lr_mult: 0
}
param {
name: "scale2c_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2c_branch2a"
bottom: "res2c_branch2a"
name: "res2c_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res2c_branch2a"
top: "res2c_branch2b"
name: "res2c_branch2b"
type: "Convolution"
param {
name: "res2c_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2b"
top: "res2c_branch2b"
name: "bn2c_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2b_0"
lr_mult: 0
}
param {
name: "bn2c_branch2b_1"
lr_mult: 0
}
param {
name: "bn2c_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2b"
top: "res2c_branch2b"
name: "scale2c_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2b_0"
lr_mult: 0
}
param {
name: "scale2c_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2c_branch2b"
bottom: "res2c_branch2b"
name: "res2c_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res2c_branch2b"
top: "res2c_branch2c"
name: "res2c_branch2c"
type: "Convolution"
param {
name: "res2c_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2c"
top: "res2c_branch2c"
name: "bn2c_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2c_0"
lr_mult: 0
}
param {
name: "bn2c_branch2c_1"
lr_mult: 0
}
param {
name: "bn2c_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2c"
top: "res2c_branch2c"
name: "scale2c_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2c_0"
lr_mult: 0
}
param {
name: "scale2c_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2b"
bottom: "res2c_branch2c"
top: "res2c"
name: "res2c"
type: "Eltwise"
}
layer {
bottom: "res2c"
top: "res2c"
name: "res2c_relu"
type: "ReLU"
}
layer {
bottom: "res2c"
top: "res3a_branch1"
name: "res3a_branch1"
type: "Convolution"
param {
name: "res3a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 2
bias_term: false
}
}
layer {
bottom: "res3a_branch1"
top: "res3a_branch1"
name: "bn3a_branch1"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch1_0"
lr_mult: 0
}
param {
name: "bn3a_branch1_1"
lr_mult: 0
}
param {
name: "bn3a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch1"
top: "res3a_branch1"
name: "scale3a_branch1"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch1_0"
lr_mult: 0
}
param {
name: "scale3a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res2c"
top: "res3a_branch2a"
name: "res3a_branch2a"
type: "Convolution"
param {
name: "res3a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 2
bias_term: false
}
}
layer {
bottom: "res3a_branch2a"
top: "res3a_branch2a"
name: "bn3a_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2a_0"
lr_mult: 0
}
param {
name: "bn3a_branch2a_1"
lr_mult: 0
}
param {
name: "bn3a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2a"
top: "res3a_branch2a"
name: "scale3a_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2a_0"
lr_mult: 0
}
param {
name: "scale3a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3a_branch2a"
bottom: "res3a_branch2a"
name: "res3a_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3a_branch2a"
top: "res3a_branch2b"
name: "res3a_branch2b"
type: "Convolution"
param {
name: "res3a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3a_branch2b"
top: "res3a_branch2b"
name: "bn3a_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2b_0"
lr_mult: 0
}
param {
name: "bn3a_branch2b_1"
lr_mult: 0
}
param {
name: "bn3a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2b"
top: "res3a_branch2b"
name: "scale3a_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2b_0"
lr_mult: 0
}
param {
name: "scale3a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3a_branch2b"
bottom: "res3a_branch2b"
name: "res3a_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3a_branch2b"
top: "res3a_branch2c"
name: "res3a_branch2c"
type: "Convolution"
param {
name: "res3a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3a_branch2c"
top: "res3a_branch2c"
name: "bn3a_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2c_0"
lr_mult: 0
}
param {
name: "bn3a_branch2c_1"
lr_mult: 0
}
param {
name: "bn3a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2c"
top: "res3a_branch2c"
name: "scale3a_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2c_0"
lr_mult: 0
}
param {
name: "scale3a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch1"
bottom: "res3a_branch2c"
top: "res3a"
name: "res3a"
type: "Eltwise"
}
layer {
bottom: "res3a"
top: "res3a"
name: "res3a_relu"
type: "ReLU"
}
layer {
bottom: "res3a"
top: "res3b1_branch2a"
name: "res3b1_branch2a"
type: "Convolution"
param {
name: "res3b1_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2a"
top: "res3b1_branch2a"
name: "bn3b1_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2a"
top: "res3b1_branch2a"
name: "scale3b1_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b1_branch2a"
bottom: "res3b1_branch2a"
name: "res3b1_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2a"
top: "res3b1_branch2b"
name: "res3b1_branch2b"
type: "Convolution"
param {
name: "res3b1_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2b"
top: "res3b1_branch2b"
name: "bn3b1_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2b"
top: "res3b1_branch2b"
name: "scale3b1_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b1_branch2b"
bottom: "res3b1_branch2b"
name: "res3b1_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2b"
top: "res3b1_branch2c"
name: "res3b1_branch2c"
type: "Convolution"
param {
name: "res3b1_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2c"
top: "res3b1_branch2c"
name: "bn3b1_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2c"
top: "res3b1_branch2c"
name: "scale3b1_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3a"
bottom: "res3b1_branch2c"
top: "res3b1"
name: "res3b1"
type: "Eltwise"
}
layer {
bottom: "res3b1"
top: "res3b1"
name: "res3b1_relu"
type: "ReLU"
}
layer {
bottom: "res3b1"
top: "res3b2_branch2a"
name: "res3b2_branch2a"
type: "Convolution"
param {
name: "res3b2_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2a"
top: "res3b2_branch2a"
name: "bn3b2_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2a"
top: "res3b2_branch2a"
name: "scale3b2_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b2_branch2a"
bottom: "res3b2_branch2a"
name: "res3b2_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2a"
top: "res3b2_branch2b"
name: "res3b2_branch2b"
type: "Convolution"
param {
name: "res3b2_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2b"
top: "res3b2_branch2b"
name: "bn3b2_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2b"
top: "res3b2_branch2b"
name: "scale3b2_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b2_branch2b"
bottom: "res3b2_branch2b"
name: "res3b2_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2b"
top: "res3b2_branch2c"
name: "res3b2_branch2c"
type: "Convolution"
param {
name: "res3b2_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2c"
top: "res3b2_branch2c"
name: "bn3b2_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2c"
top: "res3b2_branch2c"
name: "scale3b2_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3b1"
bottom: "res3b2_branch2c"
top: "res3b2"
name: "res3b2"
type: "Eltwise"
}
layer {
bottom: "res3b2"
top: "res3b2"
name: "res3b2_relu"
type: "ReLU"
}
layer {
bottom: "res3b2"
top: "res3b3_branch2a"
name: "res3b3_branch2a"
type: "Convolution"
param {
name: "res3b3_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2a"
top: "res3b3_branch2a"
name: "bn3b3_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2a"
top: "res3b3_branch2a"
name: "scale3b3_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b3_branch2a"
bottom: "res3b3_branch2a"
name: "res3b3_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2a"
top: "res3b3_branch2b"
name: "res3b3_branch2b"
type: "Convolution"
param {
name: "res3b3_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2b"
top: "res3b3_branch2b"
name: "bn3b3_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2b"
top: "res3b3_branch2b"
name: "scale3b3_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b3_branch2b"
bottom: "res3b3_branch2b"
name: "res3b3_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2b"
top: "res3b3_branch2c"
name: "res3b3_branch2c"
type: "Convolution"
param {
name: "res3b3_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2c"
top: "res3b3_branch2c"
name: "bn3b3_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2c"
top: "res3b3_branch2c"
name: "scale3b3_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3b2"
bottom: "res3b3_branch2c"
top: "res3b3"
name: "res3b3"
type: "Eltwise"
}
layer {
bottom: "res3b3"
top: "res3b3"
name: "res3b3_relu"
type: "ReLU"
}
layer {
bottom: "res3b3"
top: "res4a_branch1"
name: "res4a_branch1"
type: "Convolution"
param {
name: "res4a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch1"
top: "res4a_branch1"
name: "bn4a_branch1"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch1_0"
lr_mult: 0
}
param {
name: "bn4a_branch1_1"
lr_mult: 0
}
param {
name: "bn4a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch1"
top: "res4a_branch1"
name: "scale4a_branch1"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch1_0"
lr_mult: 0
}
param {
name: "scale4a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res3b3"
top: "res4a_branch2a"
name: "res4a_branch2a"
type: "Convolution"
param {
name: "res4a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2a"
top: "res4a_branch2a"
name: "bn4a_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2a_0"
lr_mult: 0
}
param {
name: "bn4a_branch2a_1"
lr_mult: 0
}
param {
name: "bn4a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2a"
top: "res4a_branch2a"
name: "scale4a_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2a_0"
lr_mult: 0
}
param {
name: "scale4a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4a_branch2a"
bottom: "res4a_branch2a"
name: "res4a_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4a_branch2a"
top: "res4a_branch2b"
name: "res4a_branch2b"
type: "Convolution"
param {
name: "res4a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2b"
top: "res4a_branch2b"
name: "bn4a_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2b_0"
lr_mult: 0
}
param {
name: "bn4a_branch2b_1"
lr_mult: 0
}
param {
name: "bn4a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2b"
top: "res4a_branch2b"
name: "scale4a_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2b_0"
lr_mult: 0
}
param {
name: "scale4a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4a_branch2b"
bottom: "res4a_branch2b"
name: "res4a_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4a_branch2b"
top: "res4a_branch2c"
name: "res4a_branch2c"
type: "Convolution"
param {
name: "res4a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2c"
top: "res4a_branch2c"
name: "bn4a_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2c_0"
lr_mult: 0
}
param {
name: "bn4a_branch2c_1"
lr_mult: 0
}
param {
name: "bn4a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2c"
top: "res4a_branch2c"
name: "scale4a_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2c_0"
lr_mult: 0
}
param {
name: "scale4a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch1"
bottom: "res4a_branch2c"
top: "res4a"
name: "res4a"
type: "Eltwise"
}
layer {
bottom: "res4a"
top: "res4a"
name: "res4a_relu"
type: "ReLU"
}
layer {
bottom: "res4a"
top: "res4b1_branch2a"
name: "res4b1_branch2a"
type: "Convolution"
param {
name: "res4b1_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2a"
top: "res4b1_branch2a"
name: "bn4b1_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2a"
top: "res4b1_branch2a"
name: "scale4b1_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b1_branch2a"
bottom: "res4b1_branch2a"
name: "res4b1_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2a"
top: "res4b1_branch2b"
name: "res4b1_branch2b"
type: "Convolution"
param {
name: "res4b1_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2b"
top: "res4b1_branch2b"
name: "bn4b1_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2b"
top: "res4b1_branch2b"
name: "scale4b1_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b1_branch2b"
bottom: "res4b1_branch2b"
name: "res4b1_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2b"
top: "res4b1_branch2c"
name: "res4b1_branch2c"
type: "Convolution"
param {
name: "res4b1_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2c"
top: "res4b1_branch2c"
name: "bn4b1_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2c"
top: "res4b1_branch2c"
name: "scale4b1_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4a"
bottom: "res4b1_branch2c"
top: "res4b1"
name: "res4b1"
type: "Eltwise"
}
layer {
bottom: "res4b1"
top: "res4b1"
name: "res4b1_relu"
type: "ReLU"
}
layer {
bottom: "res4b1"
top: "res4b2_branch2a"
name: "res4b2_branch2a"
type: "Convolution"
param {
name: "res4b2_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2a"
top: "res4b2_branch2a"
name: "bn4b2_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2a"
top: "res4b2_branch2a"
name: "scale4b2_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b2_branch2a"
bottom: "res4b2_branch2a"
name: "res4b2_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2a"
top: "res4b2_branch2b"
name: "res4b2_branch2b"
type: "Convolution"
param {
name: "res4b2_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2b"
top: "res4b2_branch2b"
name: "bn4b2_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2b"
top: "res4b2_branch2b"
name: "scale4b2_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b2_branch2b"
bottom: "res4b2_branch2b"
name: "res4b2_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2b"
top: "res4b2_branch2c"
name: "res4b2_branch2c"
type: "Convolution"
param {
name: "res4b2_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2c"
top: "res4b2_branch2c"
name: "bn4b2_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2c"
top: "res4b2_branch2c"
name: "scale4b2_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b1"
bottom: "res4b2_branch2c"
top: "res4b2"
name: "res4b2"
type: "Eltwise"
}
layer {
bottom: "res4b2"
top: "res4b2"
name: "res4b2_relu"
type: "ReLU"
}
layer {
bottom: "res4b2"
top: "res4b3_branch2a"
name: "res4b3_branch2a"
type: "Convolution"
param {
name: "res4b3_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2a"
top: "res4b3_branch2a"
name: "bn4b3_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2a"
top: "res4b3_branch2a"
name: "scale4b3_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b3_branch2a"
bottom: "res4b3_branch2a"
name: "res4b3_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2a"
top: "res4b3_branch2b"
name: "res4b3_branch2b"
type: "Convolution"
param {
name: "res4b3_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2b"
top: "res4b3_branch2b"
name: "bn4b3_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2b"
top: "res4b3_branch2b"
name: "scale4b3_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b3_branch2b"
bottom: "res4b3_branch2b"
name: "res4b3_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2b"
top: "res4b3_branch2c"
name: "res4b3_branch2c"
type: "Convolution"
param {
name: "res4b3_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2c"
top: "res4b3_branch2c"
name: "bn4b3_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2c"
top: "res4b3_branch2c"
name: "scale4b3_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b2"
bottom: "res4b3_branch2c"
top: "res4b3"
name: "res4b3"
type: "Eltwise"
}
layer {
bottom: "res4b3"
top: "res4b3"
name: "res4b3_relu"
type: "ReLU"
}
layer {
bottom: "res4b3"
top: "res4b4_branch2a"
name: "res4b4_branch2a"
type: "Convolution"
param {
name: "res4b4_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2a"
top: "res4b4_branch2a"
name: "bn4b4_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2a"
top: "res4b4_branch2a"
name: "scale4b4_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b4_branch2a"
bottom: "res4b4_branch2a"
name: "res4b4_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2a"
top: "res4b4_branch2b"
name: "res4b4_branch2b"
type: "Convolution"
param {
name: "res4b4_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2b"
top: "res4b4_branch2b"
name: "bn4b4_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2b"
top: "res4b4_branch2b"
name: "scale4b4_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b4_branch2b"
bottom: "res4b4_branch2b"
name: "res4b4_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2b"
top: "res4b4_branch2c"
name: "res4b4_branch2c"
type: "Convolution"
param {
name: "res4b4_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2c"
top: "res4b4_branch2c"
name: "bn4b4_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2c"
top: "res4b4_branch2c"
name: "scale4b4_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b3"
bottom: "res4b4_branch2c"
top: "res4b4"
name: "res4b4"
type: "Eltwise"
}
layer {
bottom: "res4b4"
top: "res4b4"
name: "res4b4_relu"
type: "ReLU"
}
layer {
bottom: "res4b4"
top: "res4b5_branch2a"
name: "res4b5_branch2a"
type: "Convolution"
param {
name: "res4b5_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2a"
top: "res4b5_branch2a"
name: "bn4b5_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2a"
top: "res4b5_branch2a"
name: "scale4b5_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b5_branch2a"
bottom: "res4b5_branch2a"
name: "res4b5_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2a"
top: "res4b5_branch2b"
name: "res4b5_branch2b"
type: "Convolution"
param {
name: "res4b5_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2b"
top: "res4b5_branch2b"
name: "bn4b5_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2b"
top: "res4b5_branch2b"
name: "scale4b5_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b5_branch2b"
bottom: "res4b5_branch2b"
name: "res4b5_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2b"
top: "res4b5_branch2c"
name: "res4b5_branch2c"
type: "Convolution"
param {
name: "res4b5_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2c"
top: "res4b5_branch2c"
name: "bn4b5_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2c"
top: "res4b5_branch2c"
name: "scale4b5_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b4"
bottom: "res4b5_branch2c"
top: "res4b5"
name: "res4b5"
type: "Eltwise"
}
layer {
bottom: "res4b5"
top: "res4b5"
name: "res4b5_relu"
type: "ReLU"
}
layer {
bottom: "res4b5"
top: "res4b6_branch2a"
name: "res4b6_branch2a"
type: "Convolution"
param {
name: "res4b6_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2a"
top: "res4b6_branch2a"
name: "bn4b6_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2a"
top: "res4b6_branch2a"
name: "scale4b6_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b6_branch2a"
bottom: "res4b6_branch2a"
name: "res4b6_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2a"
top: "res4b6_branch2b"
name: "res4b6_branch2b"
type: "Convolution"
param {
name: "res4b6_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2b"
top: "res4b6_branch2b"
name: "bn4b6_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2b"
top: "res4b6_branch2b"
name: "scale4b6_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b6_branch2b"
bottom: "res4b6_branch2b"
name: "res4b6_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2b"
top: "res4b6_branch2c"
name: "res4b6_branch2c"
type: "Convolution"
param {
name: "res4b6_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2c"
top: "res4b6_branch2c"
name: "bn4b6_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2c"
top: "res4b6_branch2c"
name: "scale4b6_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b5"
bottom: "res4b6_branch2c"
top: "res4b6"
name: "res4b6"
type: "Eltwise"
}
layer {
bottom: "res4b6"
top: "res4b6"
name: "res4b6_relu"
type: "ReLU"
}
layer {
bottom: "res4b6"
top: "res4b7_branch2a"
name: "res4b7_branch2a"
type: "Convolution"
param {
name: "res4b7_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2a"
top: "res4b7_branch2a"
name: "bn4b7_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2a"
top: "res4b7_branch2a"
name: "scale4b7_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b7_branch2a"
bottom: "res4b7_branch2a"
name: "res4b7_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2a"
top: "res4b7_branch2b"
name: "res4b7_branch2b"
type: "Convolution"
param {
name: "res4b7_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2b"
top: "res4b7_branch2b"
name: "bn4b7_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2b"
top: "res4b7_branch2b"
name: "scale4b7_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b7_branch2b"
bottom: "res4b7_branch2b"
name: "res4b7_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2b"
top: "res4b7_branch2c"
name: "res4b7_branch2c"
type: "Convolution"
param {
name: "res4b7_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2c"
top: "res4b7_branch2c"
name: "bn4b7_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2c"
top: "res4b7_branch2c"
name: "scale4b7_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b6"
bottom: "res4b7_branch2c"
top: "res4b7"
name: "res4b7"
type: "Eltwise"
}
layer {
bottom: "res4b7"
top: "res4b7"
name: "res4b7_relu"
type: "ReLU"
}
layer {
bottom: "res4b7"
top: "res4b8_branch2a"
name: "res4b8_branch2a"
type: "Convolution"
param {
name: "res4b8_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2a"
top: "res4b8_branch2a"
name: "bn4b8_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2a"
top: "res4b8_branch2a"
name: "scale4b8_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b8_branch2a"
bottom: "res4b8_branch2a"
name: "res4b8_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2a"
top: "res4b8_branch2b"
name: "res4b8_branch2b"
type: "Convolution"
param {
name: "res4b8_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2b"
top: "res4b8_branch2b"
name: "bn4b8_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2b"
top: "res4b8_branch2b"
name: "scale4b8_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b8_branch2b"
bottom: "res4b8_branch2b"
name: "res4b8_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2b"
top: "res4b8_branch2c"
name: "res4b8_branch2c"
type: "Convolution"
param {
name: "res4b8_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2c"
top: "res4b8_branch2c"
name: "bn4b8_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2c"
top: "res4b8_branch2c"
name: "scale4b8_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b7"
bottom: "res4b8_branch2c"
top: "res4b8"
name: "res4b8"
type: "Eltwise"
}
layer {
bottom: "res4b8"
top: "res4b8"
name: "res4b8_relu"
type: "ReLU"
}
layer {
bottom: "res4b8"
top: "res4b9_branch2a"
name: "res4b9_branch2a"
type: "Convolution"
param {
name: "res4b9_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2a"
top: "res4b9_branch2a"
name: "bn4b9_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2a"
top: "res4b9_branch2a"
name: "scale4b9_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b9_branch2a"
bottom: "res4b9_branch2a"
name: "res4b9_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2a"
top: "res4b9_branch2b"
name: "res4b9_branch2b"
type: "Convolution"
param {
name: "res4b9_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2b"
top: "res4b9_branch2b"
name: "bn4b9_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2b"
top: "res4b9_branch2b"
name: "scale4b9_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b9_branch2b"
bottom: "res4b9_branch2b"
name: "res4b9_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2b"
top: "res4b9_branch2c"
name: "res4b9_branch2c"
type: "Convolution"
param {
name: "res4b9_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2c"
top: "res4b9_branch2c"
name: "bn4b9_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2c"
top: "res4b9_branch2c"
name: "scale4b9_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b8"
bottom: "res4b9_branch2c"
top: "res4b9"
name: "res4b9"
type: "Eltwise"
}
layer {
bottom: "res4b9"
top: "res4b9"
name: "res4b9_relu"
type: "ReLU"
}
layer {
bottom: "res4b9"
top: "res4b10_branch2a"
name: "res4b10_branch2a"
type: "Convolution"
param {
name: "res4b10_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2a"
top: "res4b10_branch2a"
name: "bn4b10_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2a"
top: "res4b10_branch2a"
name: "scale4b10_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b10_branch2a"
bottom: "res4b10_branch2a"
name: "res4b10_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2a"
top: "res4b10_branch2b"
name: "res4b10_branch2b"
type: "Convolution"
param {
name: "res4b10_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2b"
top: "res4b10_branch2b"
name: "bn4b10_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2b"
top: "res4b10_branch2b"
name: "scale4b10_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b10_branch2b"
bottom: "res4b10_branch2b"
name: "res4b10_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2b"
top: "res4b10_branch2c"
name: "res4b10_branch2c"
type: "Convolution"
param {
name: "res4b10_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2c"
top: "res4b10_branch2c"
name: "bn4b10_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2c"
top: "res4b10_branch2c"
name: "scale4b10_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b9"
bottom: "res4b10_branch2c"
top: "res4b10"
name: "res4b10"
type: "Eltwise"
}
layer {
bottom: "res4b10"
top: "res4b10"
name: "res4b10_relu"
type: "ReLU"
}
layer {
bottom: "res4b10"
top: "res4b11_branch2a"
name: "res4b11_branch2a"
type: "Convolution"
param {
name: "res4b11_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2a"
top: "res4b11_branch2a"
name: "bn4b11_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2a"
top: "res4b11_branch2a"
name: "scale4b11_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b11_branch2a"
bottom: "res4b11_branch2a"
name: "res4b11_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2a"
top: "res4b11_branch2b"
name: "res4b11_branch2b"
type: "Convolution"
param {
name: "res4b11_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2b"
top: "res4b11_branch2b"
name: "bn4b11_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2b"
top: "res4b11_branch2b"
name: "scale4b11_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b11_branch2b"
bottom: "res4b11_branch2b"
name: "res4b11_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2b"
top: "res4b11_branch2c"
name: "res4b11_branch2c"
type: "Convolution"
param {
name: "res4b11_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2c"
top: "res4b11_branch2c"
name: "bn4b11_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2c"
top: "res4b11_branch2c"
name: "scale4b11_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b10"
bottom: "res4b11_branch2c"
top: "res4b11"
name: "res4b11"
type: "Eltwise"
}
layer {
bottom: "res4b11"
top: "res4b11"
name: "res4b11_relu"
type: "ReLU"
}
layer {
bottom: "res4b11"
top: "res4b12_branch2a"
name: "res4b12_branch2a"
type: "Convolution"
param {
name: "res4b12_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2a"
top: "res4b12_branch2a"
name: "bn4b12_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2a"
top: "res4b12_branch2a"
name: "scale4b12_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b12_branch2a"
bottom: "res4b12_branch2a"
name: "res4b12_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2a"
top: "res4b12_branch2b"
name: "res4b12_branch2b"
type: "Convolution"
param {
name: "res4b12_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2b"
top: "res4b12_branch2b"
name: "bn4b12_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2b"
top: "res4b12_branch2b"
name: "scale4b12_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b12_branch2b"
bottom: "res4b12_branch2b"
name: "res4b12_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2b"
top: "res4b12_branch2c"
name: "res4b12_branch2c"
type: "Convolution"
param {
name: "res4b12_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2c"
top: "res4b12_branch2c"
name: "bn4b12_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2c"
top: "res4b12_branch2c"
name: "scale4b12_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b11"
bottom: "res4b12_branch2c"
top: "res4b12"
name: "res4b12"
type: "Eltwise"
}
layer {
bottom: "res4b12"
top: "res4b12"
name: "res4b12_relu"
type: "ReLU"
}
layer {
bottom: "res4b12"
top: "res4b13_branch2a"
name: "res4b13_branch2a"
type: "Convolution"
param {
name: "res4b13_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2a"
top: "res4b13_branch2a"
name: "bn4b13_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2a"
top: "res4b13_branch2a"
name: "scale4b13_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b13_branch2a"
bottom: "res4b13_branch2a"
name: "res4b13_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2a"
top: "res4b13_branch2b"
name: "res4b13_branch2b"
type: "Convolution"
param {
name: "res4b13_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2b"
top: "res4b13_branch2b"
name: "bn4b13_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2b"
top: "res4b13_branch2b"
name: "scale4b13_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b13_branch2b"
bottom: "res4b13_branch2b"
name: "res4b13_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2b"
top: "res4b13_branch2c"
name: "res4b13_branch2c"
type: "Convolution"
param {
name: "res4b13_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2c"
top: "res4b13_branch2c"
name: "bn4b13_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2c"
top: "res4b13_branch2c"
name: "scale4b13_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b12"
bottom: "res4b13_branch2c"
top: "res4b13"
name: "res4b13"
type: "Eltwise"
}
layer {
bottom: "res4b13"
top: "res4b13"
name: "res4b13_relu"
type: "ReLU"
}
layer {
bottom: "res4b13"
top: "res4b14_branch2a"
name: "res4b14_branch2a"
type: "Convolution"
param {
name: "res4b14_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2a"
top: "res4b14_branch2a"
name: "bn4b14_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2a"
top: "res4b14_branch2a"
name: "scale4b14_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b14_branch2a"
bottom: "res4b14_branch2a"
name: "res4b14_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2a"
top: "res4b14_branch2b"
name: "res4b14_branch2b"
type: "Convolution"
param {
name: "res4b14_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2b"
top: "res4b14_branch2b"
name: "bn4b14_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2b"
top: "res4b14_branch2b"
name: "scale4b14_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b14_branch2b"
bottom: "res4b14_branch2b"
name: "res4b14_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2b"
top: "res4b14_branch2c"
name: "res4b14_branch2c"
type: "Convolution"
param {
name: "res4b14_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2c"
top: "res4b14_branch2c"
name: "bn4b14_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2c"
top: "res4b14_branch2c"
name: "scale4b14_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b13"
bottom: "res4b14_branch2c"
top: "res4b14"
name: "res4b14"
type: "Eltwise"
}
layer {
bottom: "res4b14"
top: "res4b14"
name: "res4b14_relu"
type: "ReLU"
}
layer {
bottom: "res4b14"
top: "res4b15_branch2a"
name: "res4b15_branch2a"
type: "Convolution"
param {
name: "res4b15_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2a"
top: "res4b15_branch2a"
name: "bn4b15_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2a"
top: "res4b15_branch2a"
name: "scale4b15_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b15_branch2a"
bottom: "res4b15_branch2a"
name: "res4b15_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2a"
top: "res4b15_branch2b"
name: "res4b15_branch2b"
type: "Convolution"
param {
name: "res4b15_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2b"
top: "res4b15_branch2b"
name: "bn4b15_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2b"
top: "res4b15_branch2b"
name: "scale4b15_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b15_branch2b"
bottom: "res4b15_branch2b"
name: "res4b15_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2b"
top: "res4b15_branch2c"
name: "res4b15_branch2c"
type: "Convolution"
param {
name: "res4b15_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2c"
top: "res4b15_branch2c"
name: "bn4b15_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2c"
top: "res4b15_branch2c"
name: "scale4b15_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b14"
bottom: "res4b15_branch2c"
top: "res4b15"
name: "res4b15"
type: "Eltwise"
}
layer {
bottom: "res4b15"
top: "res4b15"
name: "res4b15_relu"
type: "ReLU"
}
layer {
bottom: "res4b15"
top: "res4b16_branch2a"
name: "res4b16_branch2a"
type: "Convolution"
param {
name: "res4b16_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2a"
top: "res4b16_branch2a"
name: "bn4b16_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2a"
top: "res4b16_branch2a"
name: "scale4b16_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b16_branch2a"
bottom: "res4b16_branch2a"
name: "res4b16_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2a"
top: "res4b16_branch2b"
name: "res4b16_branch2b"
type: "Convolution"
param {
name: "res4b16_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2b"
top: "res4b16_branch2b"
name: "bn4b16_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2b"
top: "res4b16_branch2b"
name: "scale4b16_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b16_branch2b"
bottom: "res4b16_branch2b"
name: "res4b16_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2b"
top: "res4b16_branch2c"
name: "res4b16_branch2c"
type: "Convolution"
param {
name: "res4b16_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2c"
top: "res4b16_branch2c"
name: "bn4b16_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2c"
top: "res4b16_branch2c"
name: "scale4b16_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b15"
bottom: "res4b16_branch2c"
top: "res4b16"
name: "res4b16"
type: "Eltwise"
}
layer {
bottom: "res4b16"
top: "res4b16"
name: "res4b16_relu"
type: "ReLU"
}
layer {
bottom: "res4b16"
top: "res4b17_branch2a"
name: "res4b17_branch2a"
type: "Convolution"
param {
name: "res4b17_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2a"
top: "res4b17_branch2a"
name: "bn4b17_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2a"
top: "res4b17_branch2a"
name: "scale4b17_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b17_branch2a"
bottom: "res4b17_branch2a"
name: "res4b17_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2a"
top: "res4b17_branch2b"
name: "res4b17_branch2b"
type: "Convolution"
param {
name: "res4b17_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2b"
top: "res4b17_branch2b"
name: "bn4b17_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2b"
top: "res4b17_branch2b"
name: "scale4b17_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b17_branch2b"
bottom: "res4b17_branch2b"
name: "res4b17_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2b"
top: "res4b17_branch2c"
name: "res4b17_branch2c"
type: "Convolution"
param {
name: "res4b17_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2c"
top: "res4b17_branch2c"
name: "bn4b17_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2c"
top: "res4b17_branch2c"
name: "scale4b17_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b16"
bottom: "res4b17_branch2c"
top: "res4b17"
name: "res4b17"
type: "Eltwise"
}
layer {
bottom: "res4b17"
top: "res4b17"
name: "res4b17_relu"
type: "ReLU"
}
layer {
bottom: "res4b17"
top: "res4b18_branch2a"
name: "res4b18_branch2a"
type: "Convolution"
param {
name: "res4b18_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2a"
top: "res4b18_branch2a"
name: "bn4b18_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2a"
top: "res4b18_branch2a"
name: "scale4b18_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b18_branch2a"
bottom: "res4b18_branch2a"
name: "res4b18_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2a"
top: "res4b18_branch2b"
name: "res4b18_branch2b"
type: "Convolution"
param {
name: "res4b18_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2b"
top: "res4b18_branch2b"
name: "bn4b18_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2b"
top: "res4b18_branch2b"
name: "scale4b18_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b18_branch2b"
bottom: "res4b18_branch2b"
name: "res4b18_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2b"
top: "res4b18_branch2c"
name: "res4b18_branch2c"
type: "Convolution"
param {
name: "res4b18_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2c"
top: "res4b18_branch2c"
name: "bn4b18_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2c"
top: "res4b18_branch2c"
name: "scale4b18_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b17"
bottom: "res4b18_branch2c"
top: "res4b18"
name: "res4b18"
type: "Eltwise"
}
layer {
bottom: "res4b18"
top: "res4b18"
name: "res4b18_relu"
type: "ReLU"
}
layer {
bottom: "res4b18"
top: "res4b19_branch2a"
name: "res4b19_branch2a"
type: "Convolution"
param {
name: "res4b19_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2a"
top: "res4b19_branch2a"
name: "bn4b19_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2a"
top: "res4b19_branch2a"
name: "scale4b19_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b19_branch2a"
bottom: "res4b19_branch2a"
name: "res4b19_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2a"
top: "res4b19_branch2b"
name: "res4b19_branch2b"
type: "Convolution"
param {
name: "res4b19_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2b"
top: "res4b19_branch2b"
name: "bn4b19_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2b"
top: "res4b19_branch2b"
name: "scale4b19_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b19_branch2b"
bottom: "res4b19_branch2b"
name: "res4b19_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2b"
top: "res4b19_branch2c"
name: "res4b19_branch2c"
type: "Convolution"
param {
name: "res4b19_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2c"
top: "res4b19_branch2c"
name: "bn4b19_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2c"
top: "res4b19_branch2c"
name: "scale4b19_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b18"
bottom: "res4b19_branch2c"
top: "res4b19"
name: "res4b19"
type: "Eltwise"
}
layer {
bottom: "res4b19"
top: "res4b19"
name: "res4b19_relu"
type: "ReLU"
}
layer {
bottom: "res4b19"
top: "res4b20_branch2a"
name: "res4b20_branch2a"
type: "Convolution"
param {
name: "res4b20_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2a"
top: "res4b20_branch2a"
name: "bn4b20_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2a"
top: "res4b20_branch2a"
name: "scale4b20_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b20_branch2a"
bottom: "res4b20_branch2a"
name: "res4b20_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2a"
top: "res4b20_branch2b"
name: "res4b20_branch2b"
type: "Convolution"
param {
name: "res4b20_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2b"
top: "res4b20_branch2b"
name: "bn4b20_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2b"
top: "res4b20_branch2b"
name: "scale4b20_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b20_branch2b"
bottom: "res4b20_branch2b"
name: "res4b20_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2b"
top: "res4b20_branch2c"
name: "res4b20_branch2c"
type: "Convolution"
param {
name: "res4b20_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2c"
top: "res4b20_branch2c"
name: "bn4b20_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2c"
top: "res4b20_branch2c"
name: "scale4b20_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b19"
bottom: "res4b20_branch2c"
top: "res4b20"
name: "res4b20"
type: "Eltwise"
}
layer {
bottom: "res4b20"
top: "res4b20"
name: "res4b20_relu"
type: "ReLU"
}
layer {
bottom: "res4b20"
top: "res4b21_branch2a"
name: "res4b21_branch2a"
type: "Convolution"
param {
name: "res4b21_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2a"
top: "res4b21_branch2a"
name: "bn4b21_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2a"
top: "res4b21_branch2a"
name: "scale4b21_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b21_branch2a"
bottom: "res4b21_branch2a"
name: "res4b21_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2a"
top: "res4b21_branch2b"
name: "res4b21_branch2b"
type: "Convolution"
param {
name: "res4b21_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2b"
top: "res4b21_branch2b"
name: "bn4b21_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2b"
top: "res4b21_branch2b"
name: "scale4b21_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b21_branch2b"
bottom: "res4b21_branch2b"
name: "res4b21_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2b"
top: "res4b21_branch2c"
name: "res4b21_branch2c"
type: "Convolution"
param {
name: "res4b21_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2c"
top: "res4b21_branch2c"
name: "bn4b21_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2c"
top: "res4b21_branch2c"
name: "scale4b21_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b20"
bottom: "res4b21_branch2c"
top: "res4b21"
name: "res4b21"
type: "Eltwise"
}
layer {
bottom: "res4b21"
top: "res4b21"
name: "res4b21_relu"
type: "ReLU"
}
layer {
bottom: "res4b21"
top: "res4b22_branch2a"
name: "res4b22_branch2a"
type: "Convolution"
param {
name: "res4b22_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2a"
top: "res4b22_branch2a"
name: "bn4b22_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2a"
top: "res4b22_branch2a"
name: "scale4b22_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b22_branch2a"
bottom: "res4b22_branch2a"
name: "res4b22_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2a"
top: "res4b22_branch2b"
name: "res4b22_branch2b"
type: "Convolution"
param {
name: "res4b22_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2b"
top: "res4b22_branch2b"
name: "bn4b22_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2b"
top: "res4b22_branch2b"
name: "scale4b22_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b22_branch2b"
bottom: "res4b22_branch2b"
name: "res4b22_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2b"
top: "res4b22_branch2c"
name: "res4b22_branch2c"
type: "Convolution"
param {
name: "res4b22_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2c"
top: "res4b22_branch2c"
name: "bn4b22_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2c"
top: "res4b22_branch2c"
name: "scale4b22_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b21"
bottom: "res4b22_branch2c"
top: "res4b22"
name: "res4b22"
type: "Eltwise"
}
layer {
bottom: "res4b22"
top: "res4b22"
name: "res4b22_relu"
type: "ReLU"
}
layer {
bottom: "res4b22"
top: "res5a_branch1"
name: "res5a_branch1"
type: "Convolution"
param {
name: "res5a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch1"
top: "res5a_branch1"
name: "bn5a_branch1"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch1_0"
lr_mult: 0
}
param {
name: "bn5a_branch1_1"
lr_mult: 0
}
param {
name: "bn5a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch1"
top: "res5a_branch1"
name: "scale5a_branch1"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch1_0"
lr_mult: 0
}
param {
name: "scale5a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res4b22"
top: "res5a_branch2a"
name: "res5a_branch2a"
type: "Convolution"
param {
name: "res5a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2a"
top: "res5a_branch2a"
name: "bn5a_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2a_0"
lr_mult: 0
}
param {
name: "bn5a_branch2a_1"
lr_mult: 0
}
param {
name: "bn5a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2a"
top: "res5a_branch2a"
name: "scale5a_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2a_0"
lr_mult: 0
}
param {
name: "scale5a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5a_branch2a"
bottom: "res5a_branch2a"
name: "res5a_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res5a_branch2a"
top: "res5a_branch2b"
name: "res5a_branch2b"
type: "Convolution"
param {
name: "res5a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2b"
top: "res5a_branch2b"
name: "bn5a_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2b_0"
lr_mult: 0
}
param {
name: "bn5a_branch2b_1"
lr_mult: 0
}
param {
name: "bn5a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2b"
top: "res5a_branch2b"
name: "scale5a_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2b_0"
lr_mult: 0
}
param {
name: "scale5a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5a_branch2b"
bottom: "res5a_branch2b"
name: "res5a_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res5a_branch2b"
top: "res5a_branch2c"
name: "res5a_branch2c"
type: "Convolution"
param {
name: "res5a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2c"
top: "res5a_branch2c"
name: "bn5a_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2c_0"
lr_mult: 0
}
param {
name: "bn5a_branch2c_1"
lr_mult: 0
}
param {
name: "bn5a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2c"
top: "res5a_branch2c"
name: "scale5a_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2c_0"
lr_mult: 0
}
param {
name: "scale5a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch1"
bottom: "res5a_branch2c"
top: "res5a"
name: "res5a"
type: "Eltwise"
}
layer {
bottom: "res5a"
top: "res5a"
name: "res5a_relu"
type: "ReLU"
}
layer {
bottom: "res5a"
top: "res5b_branch2a"
name: "res5b_branch2a"
type: "Convolution"
param {
name: "res5b_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2a"
top: "res5b_branch2a"
name: "bn5b_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2a_0"
lr_mult: 0
}
param {
name: "bn5b_branch2a_1"
lr_mult: 0
}
param {
name: "bn5b_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2a"
top: "res5b_branch2a"
name: "scale5b_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2a_0"
lr_mult: 0
}
param {
name: "scale5b_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5b_branch2a"
bottom: "res5b_branch2a"
name: "res5b_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res5b_branch2a"
top: "res5b_branch2b"
name: "res5b_branch2b"
type: "Convolution"
param {
name: "res5b_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2b"
top: "res5b_branch2b"
name: "bn5b_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2b_0"
lr_mult: 0
}
param {
name: "bn5b_branch2b_1"
lr_mult: 0
}
param {
name: "bn5b_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2b"
top: "res5b_branch2b"
name: "scale5b_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2b_0"
lr_mult: 0
}
param {
name: "scale5b_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5b_branch2b"
bottom: "res5b_branch2b"
name: "res5b_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res5b_branch2b"
top: "res5b_branch2c"
name: "res5b_branch2c"
type: "Convolution"
param {
name: "res5b_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2c"
top: "res5b_branch2c"
name: "bn5b_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2c_0"
lr_mult: 0
}
param {
name: "bn5b_branch2c_1"
lr_mult: 0
}
param {
name: "bn5b_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2c"
top: "res5b_branch2c"
name: "scale5b_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2c_0"
lr_mult: 0
}
param {
name: "scale5b_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5a"
bottom: "res5b_branch2c"
top: "res5b"
name: "res5b"
type: "Eltwise"
}
layer {
bottom: "res5b"
top: "res5b"
name: "res5b_relu"
type: "ReLU"
}
layer {
bottom: "res5b"
top: "res5c_branch2a"
name: "res5c_branch2a"
type: "Convolution"
param {
name: "res5c_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2a"
top: "res5c_branch2a"
name: "bn5c_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2a_0"
lr_mult: 0
}
param {
name: "bn5c_branch2a_1"
lr_mult: 0
}
param {
name: "bn5c_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2a"
top: "res5c_branch2a"
name: "scale5c_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2a_0"
lr_mult: 0
}
param {
name: "scale5c_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5c_branch2a"
bottom: "res5c_branch2a"
name: "res5c_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res5c_branch2a"
top: "res5c_branch2b"
name: "res5c_branch2b"
type: "Convolution"
param {
name: "res5c_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2b"
top: "res5c_branch2b"
name: "bn5c_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2b_0"
lr_mult: 0
}
param {
name: "bn5c_branch2b_1"
lr_mult: 0
}
param {
name: "bn5c_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2b"
top: "res5c_branch2b"
name: "scale5c_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2b_0"
lr_mult: 0
}
param {
name: "scale5c_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5c_branch2b"
bottom: "res5c_branch2b"
name: "res5c_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res5c_branch2b"
top: "res5c_branch2c"
name: "res5c_branch2c"
type: "Convolution"
param {
name: "res5c_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2c"
top: "res5c_branch2c"
name: "bn5c_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2c_0"
lr_mult: 0
}
param {
name: "bn5c_branch2c_1"
lr_mult: 0
}
param {
name: "bn5c_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2c"
top: "res5c_branch2c"
name: "scale5c_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2c_0"
lr_mult: 0
}
param {
name: "scale5c_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5b"
bottom: "res5c_branch2c"
top: "res5c"
name: "res5c"
type: "Eltwise"
}
layer {
bottom: "res5c"
top: "res5c"
name: "res5c_relu"
type: "ReLU"
}
###################### resolution 1/2 #####################
layer {
bottom: "data_res05"
top: "conv1_res05"
name: "conv1_res05"
type: "Convolution"
param {
name: "conv1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 7
pad: 3
stride: 2
bias_term: false
}
}
layer {
bottom: "conv1_res05"
top: "conv1_res05"
name: "bn_conv1_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn_conv1_0"
lr_mult: 0
}
param {
name: "bn_conv1_1"
lr_mult: 0
}
param {
name: "bn_conv1_2"
lr_mult: 0
}
}
layer {
bottom: "conv1_res05"
top: "conv1_res05"
name: "scale_conv1_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale_conv1_0"
lr_mult: 0
}
param {
name: "scale_conv1_1"
lr_mult: 0
}
}
layer {
top: "conv1_res05"
bottom: "conv1_res05"
name: "conv1_relu_res05"
type: "ReLU"
}
layer {
bottom: "conv1_res05"
top: "pool1_res05"
name: "pool1_res05"
type: "Pooling"
pooling_param {
kernel_size: 3
stride: 2
pad: 1
pool: MAX
}
}
layer {
bottom: "pool1_res05"
top: "res2a_branch1_res05"
name: "res2a_branch1_res05"
type: "Convolution"
param {
name: "res2a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch1_res05"
top: "res2a_branch1_res05"
name: "bn2a_branch1_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch1_0"
lr_mult: 0
}
param {
name: "bn2a_branch1_1"
lr_mult: 0
}
param {
name: "bn2a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch1_res05"
top: "res2a_branch1_res05"
name: "scale2a_branch1_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch1_0"
lr_mult: 0
}
param {
name: "scale2a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "pool1_res05"
top: "res2a_branch2a_res05"
name: "res2a_branch2a_res05"
type: "Convolution"
param {
name: "res2a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2a_res05"
top: "res2a_branch2a_res05"
name: "bn2a_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2a_0"
lr_mult: 0
}
param {
name: "bn2a_branch2a_1"
lr_mult: 0
}
param {
name: "bn2a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2a_res05"
top: "res2a_branch2a_res05"
name: "scale2a_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2a_0"
lr_mult: 0
}
param {
name: "scale2a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2a_branch2a_res05"
bottom: "res2a_branch2a_res05"
name: "res2a_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2a_branch2a_res05"
top: "res2a_branch2b_res05"
name: "res2a_branch2b_res05"
type: "Convolution"
param {
name: "res2a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2b_res05"
top: "res2a_branch2b_res05"
name: "bn2a_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2b_0"
lr_mult: 0
}
param {
name: "bn2a_branch2b_1"
lr_mult: 0
}
param {
name: "bn2a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2b_res05"
top: "res2a_branch2b_res05"
name: "scale2a_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2b_0"
lr_mult: 0
}
param {
name: "scale2a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2a_branch2b_res05"
bottom: "res2a_branch2b_res05"
name: "res2a_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2a_branch2b_res05"
top: "res2a_branch2c_res05"
name: "res2a_branch2c_res05"
type: "Convolution"
param {
name: "res2a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2c_res05"
top: "res2a_branch2c_res05"
name: "bn2a_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2c_0"
lr_mult: 0
}
param {
name: "bn2a_branch2c_1"
lr_mult: 0
}
param {
name: "bn2a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2c_res05"
top: "res2a_branch2c_res05"
name: "scale2a_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2c_0"
lr_mult: 0
}
param {
name: "scale2a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch1_res05"
bottom: "res2a_branch2c_res05"
top: "res2a_res05"
name: "res2a_res05"
type: "Eltwise"
}
layer {
bottom: "res2a_res05"
top: "res2a_res05"
name: "res2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2a_res05"
top: "res2b_branch2a_res05"
name: "res2b_branch2a_res05"
type: "Convolution"
param {
name: "res2b_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2a_res05"
top: "res2b_branch2a_res05"
name: "bn2b_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2a_0"
lr_mult: 0
}
param {
name: "bn2b_branch2a_1"
lr_mult: 0
}
param {
name: "bn2b_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2a_res05"
top: "res2b_branch2a_res05"
name: "scale2b_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2a_0"
lr_mult: 0
}
param {
name: "scale2b_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2b_branch2a_res05"
bottom: "res2b_branch2a_res05"
name: "res2b_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2b_branch2a_res05"
top: "res2b_branch2b_res05"
name: "res2b_branch2b_res05"
type: "Convolution"
param {
name: "res2b_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2b_res05"
top: "res2b_branch2b_res05"
name: "bn2b_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2b_0"
lr_mult: 0
}
param {
name: "bn2b_branch2b_1"
lr_mult: 0
}
param {
name: "bn2b_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2b_res05"
top: "res2b_branch2b_res05"
name: "scale2b_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2b_0"
lr_mult: 0
}
param {
name: "scale2b_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2b_branch2b_res05"
bottom: "res2b_branch2b_res05"
name: "res2b_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2b_branch2b_res05"
top: "res2b_branch2c_res05"
name: "res2b_branch2c_res05"
type: "Convolution"
param {
name: "res2b_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2c_res05"
top: "res2b_branch2c_res05"
name: "bn2b_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2c_0"
lr_mult: 0
}
param {
name: "bn2b_branch2c_1"
lr_mult: 0
}
param {
name: "bn2b_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2c_res05"
top: "res2b_branch2c_res05"
name: "scale2b_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2c_0"
lr_mult: 0
}
param {
name: "scale2b_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2a_res05"
bottom: "res2b_branch2c_res05"
top: "res2b_res05"
name: "res2b_res05"
type: "Eltwise"
}
layer {
bottom: "res2b_res05"
top: "res2b_res05"
name: "res2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2b_res05"
top: "res2c_branch2a_res05"
name: "res2c_branch2a_res05"
type: "Convolution"
param {
name: "res2c_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2a_res05"
top: "res2c_branch2a_res05"
name: "bn2c_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2a_0"
lr_mult: 0
}
param {
name: "bn2c_branch2a_1"
lr_mult: 0
}
param {
name: "bn2c_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2a_res05"
top: "res2c_branch2a_res05"
name: "scale2c_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2a_0"
lr_mult: 0
}
param {
name: "scale2c_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2c_branch2a_res05"
bottom: "res2c_branch2a_res05"
name: "res2c_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2c_branch2a_res05"
top: "res2c_branch2b_res05"
name: "res2c_branch2b_res05"
type: "Convolution"
param {
name: "res2c_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2b_res05"
top: "res2c_branch2b_res05"
name: "bn2c_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2b_0"
lr_mult: 0
}
param {
name: "bn2c_branch2b_1"
lr_mult: 0
}
param {
name: "bn2c_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2b_res05"
top: "res2c_branch2b_res05"
name: "scale2c_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2b_0"
lr_mult: 0
}
param {
name: "scale2c_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2c_branch2b_res05"
bottom: "res2c_branch2b_res05"
name: "res2c_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2c_branch2b_res05"
top: "res2c_branch2c_res05"
name: "res2c_branch2c_res05"
type: "Convolution"
param {
name: "res2c_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2c_res05"
top: "res2c_branch2c_res05"
name: "bn2c_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2c_0"
lr_mult: 0
}
param {
name: "bn2c_branch2c_1"
lr_mult: 0
}
param {
name: "bn2c_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2c_res05"
top: "res2c_branch2c_res05"
name: "scale2c_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2c_0"
lr_mult: 0
}
param {
name: "scale2c_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2b_res05"
bottom: "res2c_branch2c_res05"
top: "res2c_res05"
name: "res2c_res05"
type: "Eltwise"
}
layer {
bottom: "res2c_res05"
top: "res2c_res05"
name: "res2c_relu_res05"
type: "ReLU"
}
layer {
bottom: "res2c_res05"
top: "res3a_branch1_res05"
name: "res3a_branch1_res05"
type: "Convolution"
param {
name: "res3a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 2
bias_term: false
}
}
layer {
bottom: "res3a_branch1_res05"
top: "res3a_branch1_res05"
name: "bn3a_branch1_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch1_0"
lr_mult: 0
}
param {
name: "bn3a_branch1_1"
lr_mult: 0
}
param {
name: "bn3a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch1_res05"
top: "res3a_branch1_res05"
name: "scale3a_branch1_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch1_0"
lr_mult: 0
}
param {
name: "scale3a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res2c_res05"
top: "res3a_branch2a_res05"
name: "res3a_branch2a_res05"
type: "Convolution"
param {
name: "res3a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 2
bias_term: false
}
}
layer {
bottom: "res3a_branch2a_res05"
top: "res3a_branch2a_res05"
name: "bn3a_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2a_0"
lr_mult: 0
}
param {
name: "bn3a_branch2a_1"
lr_mult: 0
}
param {
name: "bn3a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2a_res05"
top: "res3a_branch2a_res05"
name: "scale3a_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2a_0"
lr_mult: 0
}
param {
name: "scale3a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3a_branch2a_res05"
bottom: "res3a_branch2a_res05"
name: "res3a_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3a_branch2a_res05"
top: "res3a_branch2b_res05"
name: "res3a_branch2b_res05"
type: "Convolution"
param {
name: "res3a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3a_branch2b_res05"
top: "res3a_branch2b_res05"
name: "bn3a_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2b_0"
lr_mult: 0
}
param {
name: "bn3a_branch2b_1"
lr_mult: 0
}
param {
name: "bn3a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2b_res05"
top: "res3a_branch2b_res05"
name: "scale3a_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2b_0"
lr_mult: 0
}
param {
name: "scale3a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3a_branch2b_res05"
bottom: "res3a_branch2b_res05"
name: "res3a_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3a_branch2b_res05"
top: "res3a_branch2c_res05"
name: "res3a_branch2c_res05"
type: "Convolution"
param {
name: "res3a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3a_branch2c_res05"
top: "res3a_branch2c_res05"
name: "bn3a_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2c_0"
lr_mult: 0
}
param {
name: "bn3a_branch2c_1"
lr_mult: 0
}
param {
name: "bn3a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2c_res05"
top: "res3a_branch2c_res05"
name: "scale3a_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2c_0"
lr_mult: 0
}
param {
name: "scale3a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch1_res05"
bottom: "res3a_branch2c_res05"
top: "res3a_res05"
name: "res3a_res05"
type: "Eltwise"
}
layer {
bottom: "res3a_res05"
top: "res3a_res05"
name: "res3a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3a_res05"
top: "res3b1_branch2a_res05"
name: "res3b1_branch2a_res05"
type: "Convolution"
param {
name: "res3b1_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2a_res05"
top: "res3b1_branch2a_res05"
name: "bn3b1_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2a_res05"
top: "res3b1_branch2a_res05"
name: "scale3b1_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b1_branch2a_res05"
bottom: "res3b1_branch2a_res05"
name: "res3b1_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2a_res05"
top: "res3b1_branch2b_res05"
name: "res3b1_branch2b_res05"
type: "Convolution"
param {
name: "res3b1_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2b_res05"
top: "res3b1_branch2b_res05"
name: "bn3b1_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2b_res05"
top: "res3b1_branch2b_res05"
name: "scale3b1_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b1_branch2b_res05"
bottom: "res3b1_branch2b_res05"
name: "res3b1_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2b_res05"
top: "res3b1_branch2c_res05"
name: "res3b1_branch2c_res05"
type: "Convolution"
param {
name: "res3b1_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2c_res05"
top: "res3b1_branch2c_res05"
name: "bn3b1_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2c_res05"
top: "res3b1_branch2c_res05"
name: "scale3b1_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3a_res05"
bottom: "res3b1_branch2c_res05"
top: "res3b1_res05"
name: "res3b1_res05"
type: "Eltwise"
}
layer {
bottom: "res3b1_res05"
top: "res3b1_res05"
name: "res3b1_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b1_res05"
top: "res3b2_branch2a_res05"
name: "res3b2_branch2a_res05"
type: "Convolution"
param {
name: "res3b2_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2a_res05"
top: "res3b2_branch2a_res05"
name: "bn3b2_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2a_res05"
top: "res3b2_branch2a_res05"
name: "scale3b2_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b2_branch2a_res05"
bottom: "res3b2_branch2a_res05"
name: "res3b2_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2a_res05"
top: "res3b2_branch2b_res05"
name: "res3b2_branch2b_res05"
type: "Convolution"
param {
name: "res3b2_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2b_res05"
top: "res3b2_branch2b_res05"
name: "bn3b2_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2b_res05"
top: "res3b2_branch2b_res05"
name: "scale3b2_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b2_branch2b_res05"
bottom: "res3b2_branch2b_res05"
name: "res3b2_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2b_res05"
top: "res3b2_branch2c_res05"
name: "res3b2_branch2c_res05"
type: "Convolution"
param {
name: "res3b2_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2c_res05"
top: "res3b2_branch2c_res05"
name: "bn3b2_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2c_res05"
top: "res3b2_branch2c_res05"
name: "scale3b2_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3b1_res05"
bottom: "res3b2_branch2c_res05"
top: "res3b2_res05"
name: "res3b2_res05"
type: "Eltwise"
}
layer {
bottom: "res3b2_res05"
top: "res3b2_res05"
name: "res3b2_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b2_res05"
top: "res3b3_branch2a_res05"
name: "res3b3_branch2a_res05"
type: "Convolution"
param {
name: "res3b3_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2a_res05"
top: "res3b3_branch2a_res05"
name: "bn3b3_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2a_res05"
top: "res3b3_branch2a_res05"
name: "scale3b3_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b3_branch2a_res05"
bottom: "res3b3_branch2a_res05"
name: "res3b3_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2a_res05"
top: "res3b3_branch2b_res05"
name: "res3b3_branch2b_res05"
type: "Convolution"
param {
name: "res3b3_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2b_res05"
top: "res3b3_branch2b_res05"
name: "bn3b3_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2b_res05"
top: "res3b3_branch2b_res05"
name: "scale3b3_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b3_branch2b_res05"
bottom: "res3b3_branch2b_res05"
name: "res3b3_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2b_res05"
top: "res3b3_branch2c_res05"
name: "res3b3_branch2c_res05"
type: "Convolution"
param {
name: "res3b3_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2c_res05"
top: "res3b3_branch2c_res05"
name: "bn3b3_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2c_res05"
top: "res3b3_branch2c_res05"
name: "scale3b3_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3b2_res05"
bottom: "res3b3_branch2c_res05"
top: "res3b3_res05"
name: "res3b3_res05"
type: "Eltwise"
}
layer {
bottom: "res3b3_res05"
top: "res3b3_res05"
name: "res3b3_relu_res05"
type: "ReLU"
}
layer {
bottom: "res3b3_res05"
top: "res4a_branch1_res05"
name: "res4a_branch1_res05"
type: "Convolution"
param {
name: "res4a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch1_res05"
top: "res4a_branch1_res05"
name: "bn4a_branch1_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch1_0"
lr_mult: 0
}
param {
name: "bn4a_branch1_1"
lr_mult: 0
}
param {
name: "bn4a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch1_res05"
top: "res4a_branch1_res05"
name: "scale4a_branch1_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch1_0"
lr_mult: 0
}
param {
name: "scale4a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res3b3_res05"
top: "res4a_branch2a_res05"
name: "res4a_branch2a_res05"
type: "Convolution"
param {
name: "res4a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2a_res05"
top: "res4a_branch2a_res05"
name: "bn4a_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2a_0"
lr_mult: 0
}
param {
name: "bn4a_branch2a_1"
lr_mult: 0
}
param {
name: "bn4a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2a_res05"
top: "res4a_branch2a_res05"
name: "scale4a_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2a_0"
lr_mult: 0
}
param {
name: "scale4a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4a_branch2a_res05"
bottom: "res4a_branch2a_res05"
name: "res4a_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4a_branch2a_res05"
top: "res4a_branch2b_res05"
name: "res4a_branch2b_res05"
type: "Convolution"
param {
name: "res4a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2b_res05"
top: "res4a_branch2b_res05"
name: "bn4a_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2b_0"
lr_mult: 0
}
param {
name: "bn4a_branch2b_1"
lr_mult: 0
}
param {
name: "bn4a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2b_res05"
top: "res4a_branch2b_res05"
name: "scale4a_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2b_0"
lr_mult: 0
}
param {
name: "scale4a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4a_branch2b_res05"
bottom: "res4a_branch2b_res05"
name: "res4a_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4a_branch2b_res05"
top: "res4a_branch2c_res05"
name: "res4a_branch2c_res05"
type: "Convolution"
param {
name: "res4a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2c_res05"
top: "res4a_branch2c_res05"
name: "bn4a_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2c_0"
lr_mult: 0
}
param {
name: "bn4a_branch2c_1"
lr_mult: 0
}
param {
name: "bn4a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2c_res05"
top: "res4a_branch2c_res05"
name: "scale4a_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2c_0"
lr_mult: 0
}
param {
name: "scale4a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch1_res05"
bottom: "res4a_branch2c_res05"
top: "res4a_res05"
name: "res4a_res05"
type: "Eltwise"
}
layer {
bottom: "res4a_res05"
top: "res4a_res05"
name: "res4a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4a_res05"
top: "res4b1_branch2a_res05"
name: "res4b1_branch2a_res05"
type: "Convolution"
param {
name: "res4b1_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2a_res05"
top: "res4b1_branch2a_res05"
name: "bn4b1_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2a_res05"
top: "res4b1_branch2a_res05"
name: "scale4b1_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b1_branch2a_res05"
bottom: "res4b1_branch2a_res05"
name: "res4b1_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2a_res05"
top: "res4b1_branch2b_res05"
name: "res4b1_branch2b_res05"
type: "Convolution"
param {
name: "res4b1_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2b_res05"
top: "res4b1_branch2b_res05"
name: "bn4b1_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2b_res05"
top: "res4b1_branch2b_res05"
name: "scale4b1_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b1_branch2b_res05"
bottom: "res4b1_branch2b_res05"
name: "res4b1_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2b_res05"
top: "res4b1_branch2c_res05"
name: "res4b1_branch2c_res05"
type: "Convolution"
param {
name: "res4b1_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2c_res05"
top: "res4b1_branch2c_res05"
name: "bn4b1_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2c_res05"
top: "res4b1_branch2c_res05"
name: "scale4b1_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4a_res05"
bottom: "res4b1_branch2c_res05"
top: "res4b1_res05"
name: "res4b1_res05"
type: "Eltwise"
}
layer {
bottom: "res4b1_res05"
top: "res4b1_res05"
name: "res4b1_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b1_res05"
top: "res4b2_branch2a_res05"
name: "res4b2_branch2a_res05"
type: "Convolution"
param {
name: "res4b2_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2a_res05"
top: "res4b2_branch2a_res05"
name: "bn4b2_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2a_res05"
top: "res4b2_branch2a_res05"
name: "scale4b2_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b2_branch2a_res05"
bottom: "res4b2_branch2a_res05"
name: "res4b2_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2a_res05"
top: "res4b2_branch2b_res05"
name: "res4b2_branch2b_res05"
type: "Convolution"
param {
name: "res4b2_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2b_res05"
top: "res4b2_branch2b_res05"
name: "bn4b2_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2b_res05"
top: "res4b2_branch2b_res05"
name: "scale4b2_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b2_branch2b_res05"
bottom: "res4b2_branch2b_res05"
name: "res4b2_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2b_res05"
top: "res4b2_branch2c_res05"
name: "res4b2_branch2c_res05"
type: "Convolution"
param {
name: "res4b2_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2c_res05"
top: "res4b2_branch2c_res05"
name: "bn4b2_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2c_res05"
top: "res4b2_branch2c_res05"
name: "scale4b2_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b1_res05"
bottom: "res4b2_branch2c_res05"
top: "res4b2_res05"
name: "res4b2_res05"
type: "Eltwise"
}
layer {
bottom: "res4b2_res05"
top: "res4b2_res05"
name: "res4b2_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b2_res05"
top: "res4b3_branch2a_res05"
name: "res4b3_branch2a_res05"
type: "Convolution"
param {
name: "res4b3_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2a_res05"
top: "res4b3_branch2a_res05"
name: "bn4b3_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2a_res05"
top: "res4b3_branch2a_res05"
name: "scale4b3_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b3_branch2a_res05"
bottom: "res4b3_branch2a_res05"
name: "res4b3_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2a_res05"
top: "res4b3_branch2b_res05"
name: "res4b3_branch2b_res05"
type: "Convolution"
param {
name: "res4b3_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2b_res05"
top: "res4b3_branch2b_res05"
name: "bn4b3_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2b_res05"
top: "res4b3_branch2b_res05"
name: "scale4b3_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b3_branch2b_res05"
bottom: "res4b3_branch2b_res05"
name: "res4b3_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2b_res05"
top: "res4b3_branch2c_res05"
name: "res4b3_branch2c_res05"
type: "Convolution"
param {
name: "res4b3_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2c_res05"
top: "res4b3_branch2c_res05"
name: "bn4b3_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2c_res05"
top: "res4b3_branch2c_res05"
name: "scale4b3_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b2_res05"
bottom: "res4b3_branch2c_res05"
top: "res4b3_res05"
name: "res4b3_res05"
type: "Eltwise"
}
layer {
bottom: "res4b3_res05"
top: "res4b3_res05"
name: "res4b3_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b3_res05"
top: "res4b4_branch2a_res05"
name: "res4b4_branch2a_res05"
type: "Convolution"
param {
name: "res4b4_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2a_res05"
top: "res4b4_branch2a_res05"
name: "bn4b4_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2a_res05"
top: "res4b4_branch2a_res05"
name: "scale4b4_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b4_branch2a_res05"
bottom: "res4b4_branch2a_res05"
name: "res4b4_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2a_res05"
top: "res4b4_branch2b_res05"
name: "res4b4_branch2b_res05"
type: "Convolution"
param {
name: "res4b4_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2b_res05"
top: "res4b4_branch2b_res05"
name: "bn4b4_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2b_res05"
top: "res4b4_branch2b_res05"
name: "scale4b4_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b4_branch2b_res05"
bottom: "res4b4_branch2b_res05"
name: "res4b4_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2b_res05"
top: "res4b4_branch2c_res05"
name: "res4b4_branch2c_res05"
type: "Convolution"
param {
name: "res4b4_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2c_res05"
top: "res4b4_branch2c_res05"
name: "bn4b4_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2c_res05"
top: "res4b4_branch2c_res05"
name: "scale4b4_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b3_res05"
bottom: "res4b4_branch2c_res05"
top: "res4b4_res05"
name: "res4b4_res05"
type: "Eltwise"
}
layer {
bottom: "res4b4_res05"
top: "res4b4_res05"
name: "res4b4_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b4_res05"
top: "res4b5_branch2a_res05"
name: "res4b5_branch2a_res05"
type: "Convolution"
param {
name: "res4b5_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2a_res05"
top: "res4b5_branch2a_res05"
name: "bn4b5_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2a_res05"
top: "res4b5_branch2a_res05"
name: "scale4b5_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b5_branch2a_res05"
bottom: "res4b5_branch2a_res05"
name: "res4b5_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2a_res05"
top: "res4b5_branch2b_res05"
name: "res4b5_branch2b_res05"
type: "Convolution"
param {
name: "res4b5_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2b_res05"
top: "res4b5_branch2b_res05"
name: "bn4b5_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2b_res05"
top: "res4b5_branch2b_res05"
name: "scale4b5_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b5_branch2b_res05"
bottom: "res4b5_branch2b_res05"
name: "res4b5_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2b_res05"
top: "res4b5_branch2c_res05"
name: "res4b5_branch2c_res05"
type: "Convolution"
param {
name: "res4b5_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2c_res05"
top: "res4b5_branch2c_res05"
name: "bn4b5_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2c_res05"
top: "res4b5_branch2c_res05"
name: "scale4b5_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b4_res05"
bottom: "res4b5_branch2c_res05"
top: "res4b5_res05"
name: "res4b5_res05"
type: "Eltwise"
}
layer {
bottom: "res4b5_res05"
top: "res4b5_res05"
name: "res4b5_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b5_res05"
top: "res4b6_branch2a_res05"
name: "res4b6_branch2a_res05"
type: "Convolution"
param {
name: "res4b6_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2a_res05"
top: "res4b6_branch2a_res05"
name: "bn4b6_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2a_res05"
top: "res4b6_branch2a_res05"
name: "scale4b6_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b6_branch2a_res05"
bottom: "res4b6_branch2a_res05"
name: "res4b6_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2a_res05"
top: "res4b6_branch2b_res05"
name: "res4b6_branch2b_res05"
type: "Convolution"
param {
name: "res4b6_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2b_res05"
top: "res4b6_branch2b_res05"
name: "bn4b6_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2b_res05"
top: "res4b6_branch2b_res05"
name: "scale4b6_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b6_branch2b_res05"
bottom: "res4b6_branch2b_res05"
name: "res4b6_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2b_res05"
top: "res4b6_branch2c_res05"
name: "res4b6_branch2c_res05"
type: "Convolution"
param {
name: "res4b6_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2c_res05"
top: "res4b6_branch2c_res05"
name: "bn4b6_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2c_res05"
top: "res4b6_branch2c_res05"
name: "scale4b6_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b5_res05"
bottom: "res4b6_branch2c_res05"
top: "res4b6_res05"
name: "res4b6_res05"
type: "Eltwise"
}
layer {
bottom: "res4b6_res05"
top: "res4b6_res05"
name: "res4b6_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b6_res05"
top: "res4b7_branch2a_res05"
name: "res4b7_branch2a_res05"
type: "Convolution"
param {
name: "res4b7_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2a_res05"
top: "res4b7_branch2a_res05"
name: "bn4b7_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2a_res05"
top: "res4b7_branch2a_res05"
name: "scale4b7_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b7_branch2a_res05"
bottom: "res4b7_branch2a_res05"
name: "res4b7_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2a_res05"
top: "res4b7_branch2b_res05"
name: "res4b7_branch2b_res05"
type: "Convolution"
param {
name: "res4b7_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2b_res05"
top: "res4b7_branch2b_res05"
name: "bn4b7_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2b_res05"
top: "res4b7_branch2b_res05"
name: "scale4b7_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b7_branch2b_res05"
bottom: "res4b7_branch2b_res05"
name: "res4b7_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2b_res05"
top: "res4b7_branch2c_res05"
name: "res4b7_branch2c_res05"
type: "Convolution"
param {
name: "res4b7_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2c_res05"
top: "res4b7_branch2c_res05"
name: "bn4b7_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2c_res05"
top: "res4b7_branch2c_res05"
name: "scale4b7_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b6_res05"
bottom: "res4b7_branch2c_res05"
top: "res4b7_res05"
name: "res4b7_res05"
type: "Eltwise"
}
layer {
bottom: "res4b7_res05"
top: "res4b7_res05"
name: "res4b7_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b7_res05"
top: "res4b8_branch2a_res05"
name: "res4b8_branch2a_res05"
type: "Convolution"
param {
name: "res4b8_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2a_res05"
top: "res4b8_branch2a_res05"
name: "bn4b8_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2a_res05"
top: "res4b8_branch2a_res05"
name: "scale4b8_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b8_branch2a_res05"
bottom: "res4b8_branch2a_res05"
name: "res4b8_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2a_res05"
top: "res4b8_branch2b_res05"
name: "res4b8_branch2b_res05"
type: "Convolution"
param {
name: "res4b8_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2b_res05"
top: "res4b8_branch2b_res05"
name: "bn4b8_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2b_res05"
top: "res4b8_branch2b_res05"
name: "scale4b8_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b8_branch2b_res05"
bottom: "res4b8_branch2b_res05"
name: "res4b8_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2b_res05"
top: "res4b8_branch2c_res05"
name: "res4b8_branch2c_res05"
type: "Convolution"
param {
name: "res4b8_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2c_res05"
top: "res4b8_branch2c_res05"
name: "bn4b8_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2c_res05"
top: "res4b8_branch2c_res05"
name: "scale4b8_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b7_res05"
bottom: "res4b8_branch2c_res05"
top: "res4b8_res05"
name: "res4b8_res05"
type: "Eltwise"
}
layer {
bottom: "res4b8_res05"
top: "res4b8_res05"
name: "res4b8_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b8_res05"
top: "res4b9_branch2a_res05"
name: "res4b9_branch2a_res05"
type: "Convolution"
param {
name: "res4b9_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2a_res05"
top: "res4b9_branch2a_res05"
name: "bn4b9_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2a_res05"
top: "res4b9_branch2a_res05"
name: "scale4b9_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b9_branch2a_res05"
bottom: "res4b9_branch2a_res05"
name: "res4b9_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2a_res05"
top: "res4b9_branch2b_res05"
name: "res4b9_branch2b_res05"
type: "Convolution"
param {
name: "res4b9_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2b_res05"
top: "res4b9_branch2b_res05"
name: "bn4b9_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2b_res05"
top: "res4b9_branch2b_res05"
name: "scale4b9_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b9_branch2b_res05"
bottom: "res4b9_branch2b_res05"
name: "res4b9_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2b_res05"
top: "res4b9_branch2c_res05"
name: "res4b9_branch2c_res05"
type: "Convolution"
param {
name: "res4b9_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2c_res05"
top: "res4b9_branch2c_res05"
name: "bn4b9_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2c_res05"
top: "res4b9_branch2c_res05"
name: "scale4b9_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b8_res05"
bottom: "res4b9_branch2c_res05"
top: "res4b9_res05"
name: "res4b9_res05"
type: "Eltwise"
}
layer {
bottom: "res4b9_res05"
top: "res4b9_res05"
name: "res4b9_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b9_res05"
top: "res4b10_branch2a_res05"
name: "res4b10_branch2a_res05"
type: "Convolution"
param {
name: "res4b10_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2a_res05"
top: "res4b10_branch2a_res05"
name: "bn4b10_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2a_res05"
top: "res4b10_branch2a_res05"
name: "scale4b10_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b10_branch2a_res05"
bottom: "res4b10_branch2a_res05"
name: "res4b10_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2a_res05"
top: "res4b10_branch2b_res05"
name: "res4b10_branch2b_res05"
type: "Convolution"
param {
name: "res4b10_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2b_res05"
top: "res4b10_branch2b_res05"
name: "bn4b10_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2b_res05"
top: "res4b10_branch2b_res05"
name: "scale4b10_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b10_branch2b_res05"
bottom: "res4b10_branch2b_res05"
name: "res4b10_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2b_res05"
top: "res4b10_branch2c_res05"
name: "res4b10_branch2c_res05"
type: "Convolution"
param {
name: "res4b10_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2c_res05"
top: "res4b10_branch2c_res05"
name: "bn4b10_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2c_res05"
top: "res4b10_branch2c_res05"
name: "scale4b10_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b9_res05"
bottom: "res4b10_branch2c_res05"
top: "res4b10_res05"
name: "res4b10_res05"
type: "Eltwise"
}
layer {
bottom: "res4b10_res05"
top: "res4b10_res05"
name: "res4b10_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b10_res05"
top: "res4b11_branch2a_res05"
name: "res4b11_branch2a_res05"
type: "Convolution"
param {
name: "res4b11_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2a_res05"
top: "res4b11_branch2a_res05"
name: "bn4b11_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2a_res05"
top: "res4b11_branch2a_res05"
name: "scale4b11_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b11_branch2a_res05"
bottom: "res4b11_branch2a_res05"
name: "res4b11_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2a_res05"
top: "res4b11_branch2b_res05"
name: "res4b11_branch2b_res05"
type: "Convolution"
param {
name: "res4b11_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2b_res05"
top: "res4b11_branch2b_res05"
name: "bn4b11_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2b_res05"
top: "res4b11_branch2b_res05"
name: "scale4b11_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b11_branch2b_res05"
bottom: "res4b11_branch2b_res05"
name: "res4b11_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2b_res05"
top: "res4b11_branch2c_res05"
name: "res4b11_branch2c_res05"
type: "Convolution"
param {
name: "res4b11_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2c_res05"
top: "res4b11_branch2c_res05"
name: "bn4b11_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2c_res05"
top: "res4b11_branch2c_res05"
name: "scale4b11_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b10_res05"
bottom: "res4b11_branch2c_res05"
top: "res4b11_res05"
name: "res4b11_res05"
type: "Eltwise"
}
layer {
bottom: "res4b11_res05"
top: "res4b11_res05"
name: "res4b11_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b11_res05"
top: "res4b12_branch2a_res05"
name: "res4b12_branch2a_res05"
type: "Convolution"
param {
name: "res4b12_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2a_res05"
top: "res4b12_branch2a_res05"
name: "bn4b12_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2a_res05"
top: "res4b12_branch2a_res05"
name: "scale4b12_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b12_branch2a_res05"
bottom: "res4b12_branch2a_res05"
name: "res4b12_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2a_res05"
top: "res4b12_branch2b_res05"
name: "res4b12_branch2b_res05"
type: "Convolution"
param {
name: "res4b12_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2b_res05"
top: "res4b12_branch2b_res05"
name: "bn4b12_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2b_res05"
top: "res4b12_branch2b_res05"
name: "scale4b12_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b12_branch2b_res05"
bottom: "res4b12_branch2b_res05"
name: "res4b12_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2b_res05"
top: "res4b12_branch2c_res05"
name: "res4b12_branch2c_res05"
type: "Convolution"
param {
name: "res4b12_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2c_res05"
top: "res4b12_branch2c_res05"
name: "bn4b12_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2c_res05"
top: "res4b12_branch2c_res05"
name: "scale4b12_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b11_res05"
bottom: "res4b12_branch2c_res05"
top: "res4b12_res05"
name: "res4b12_res05"
type: "Eltwise"
}
layer {
bottom: "res4b12_res05"
top: "res4b12_res05"
name: "res4b12_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b12_res05"
top: "res4b13_branch2a_res05"
name: "res4b13_branch2a_res05"
type: "Convolution"
param {
name: "res4b13_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2a_res05"
top: "res4b13_branch2a_res05"
name: "bn4b13_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2a_res05"
top: "res4b13_branch2a_res05"
name: "scale4b13_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b13_branch2a_res05"
bottom: "res4b13_branch2a_res05"
name: "res4b13_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2a_res05"
top: "res4b13_branch2b_res05"
name: "res4b13_branch2b_res05"
type: "Convolution"
param {
name: "res4b13_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2b_res05"
top: "res4b13_branch2b_res05"
name: "bn4b13_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2b_res05"
top: "res4b13_branch2b_res05"
name: "scale4b13_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b13_branch2b_res05"
bottom: "res4b13_branch2b_res05"
name: "res4b13_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2b_res05"
top: "res4b13_branch2c_res05"
name: "res4b13_branch2c_res05"
type: "Convolution"
param {
name: "res4b13_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2c_res05"
top: "res4b13_branch2c_res05"
name: "bn4b13_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2c_res05"
top: "res4b13_branch2c_res05"
name: "scale4b13_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b12_res05"
bottom: "res4b13_branch2c_res05"
top: "res4b13_res05"
name: "res4b13_res05"
type: "Eltwise"
}
layer {
bottom: "res4b13_res05"
top: "res4b13_res05"
name: "res4b13_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b13_res05"
top: "res4b14_branch2a_res05"
name: "res4b14_branch2a_res05"
type: "Convolution"
param {
name: "res4b14_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2a_res05"
top: "res4b14_branch2a_res05"
name: "bn4b14_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2a_res05"
top: "res4b14_branch2a_res05"
name: "scale4b14_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b14_branch2a_res05"
bottom: "res4b14_branch2a_res05"
name: "res4b14_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2a_res05"
top: "res4b14_branch2b_res05"
name: "res4b14_branch2b_res05"
type: "Convolution"
param {
name: "res4b14_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2b_res05"
top: "res4b14_branch2b_res05"
name: "bn4b14_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2b_res05"
top: "res4b14_branch2b_res05"
name: "scale4b14_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b14_branch2b_res05"
bottom: "res4b14_branch2b_res05"
name: "res4b14_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2b_res05"
top: "res4b14_branch2c_res05"
name: "res4b14_branch2c_res05"
type: "Convolution"
param {
name: "res4b14_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2c_res05"
top: "res4b14_branch2c_res05"
name: "bn4b14_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2c_res05"
top: "res4b14_branch2c_res05"
name: "scale4b14_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b13_res05"
bottom: "res4b14_branch2c_res05"
top: "res4b14_res05"
name: "res4b14_res05"
type: "Eltwise"
}
layer {
bottom: "res4b14_res05"
top: "res4b14_res05"
name: "res4b14_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b14_res05"
top: "res4b15_branch2a_res05"
name: "res4b15_branch2a_res05"
type: "Convolution"
param {
name: "res4b15_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2a_res05"
top: "res4b15_branch2a_res05"
name: "bn4b15_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2a_res05"
top: "res4b15_branch2a_res05"
name: "scale4b15_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b15_branch2a_res05"
bottom: "res4b15_branch2a_res05"
name: "res4b15_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2a_res05"
top: "res4b15_branch2b_res05"
name: "res4b15_branch2b_res05"
type: "Convolution"
param {
name: "res4b15_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2b_res05"
top: "res4b15_branch2b_res05"
name: "bn4b15_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2b_res05"
top: "res4b15_branch2b_res05"
name: "scale4b15_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b15_branch2b_res05"
bottom: "res4b15_branch2b_res05"
name: "res4b15_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2b_res05"
top: "res4b15_branch2c_res05"
name: "res4b15_branch2c_res05"
type: "Convolution"
param {
name: "res4b15_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2c_res05"
top: "res4b15_branch2c_res05"
name: "bn4b15_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2c_res05"
top: "res4b15_branch2c_res05"
name: "scale4b15_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b14_res05"
bottom: "res4b15_branch2c_res05"
top: "res4b15_res05"
name: "res4b15_res05"
type: "Eltwise"
}
layer {
bottom: "res4b15_res05"
top: "res4b15_res05"
name: "res4b15_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b15_res05"
top: "res4b16_branch2a_res05"
name: "res4b16_branch2a_res05"
type: "Convolution"
param {
name: "res4b16_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2a_res05"
top: "res4b16_branch2a_res05"
name: "bn4b16_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2a_res05"
top: "res4b16_branch2a_res05"
name: "scale4b16_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b16_branch2a_res05"
bottom: "res4b16_branch2a_res05"
name: "res4b16_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2a_res05"
top: "res4b16_branch2b_res05"
name: "res4b16_branch2b_res05"
type: "Convolution"
param {
name: "res4b16_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2b_res05"
top: "res4b16_branch2b_res05"
name: "bn4b16_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2b_res05"
top: "res4b16_branch2b_res05"
name: "scale4b16_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b16_branch2b_res05"
bottom: "res4b16_branch2b_res05"
name: "res4b16_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2b_res05"
top: "res4b16_branch2c_res05"
name: "res4b16_branch2c_res05"
type: "Convolution"
param {
name: "res4b16_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2c_res05"
top: "res4b16_branch2c_res05"
name: "bn4b16_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2c_res05"
top: "res4b16_branch2c_res05"
name: "scale4b16_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b15_res05"
bottom: "res4b16_branch2c_res05"
top: "res4b16_res05"
name: "res4b16_res05"
type: "Eltwise"
}
layer {
bottom: "res4b16_res05"
top: "res4b16_res05"
name: "res4b16_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b16_res05"
top: "res4b17_branch2a_res05"
name: "res4b17_branch2a_res05"
type: "Convolution"
param {
name: "res4b17_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2a_res05"
top: "res4b17_branch2a_res05"
name: "bn4b17_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2a_res05"
top: "res4b17_branch2a_res05"
name: "scale4b17_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b17_branch2a_res05"
bottom: "res4b17_branch2a_res05"
name: "res4b17_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2a_res05"
top: "res4b17_branch2b_res05"
name: "res4b17_branch2b_res05"
type: "Convolution"
param {
name: "res4b17_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2b_res05"
top: "res4b17_branch2b_res05"
name: "bn4b17_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2b_res05"
top: "res4b17_branch2b_res05"
name: "scale4b17_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b17_branch2b_res05"
bottom: "res4b17_branch2b_res05"
name: "res4b17_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2b_res05"
top: "res4b17_branch2c_res05"
name: "res4b17_branch2c_res05"
type: "Convolution"
param {
name: "res4b17_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2c_res05"
top: "res4b17_branch2c_res05"
name: "bn4b17_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2c_res05"
top: "res4b17_branch2c_res05"
name: "scale4b17_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b16_res05"
bottom: "res4b17_branch2c_res05"
top: "res4b17_res05"
name: "res4b17_res05"
type: "Eltwise"
}
layer {
bottom: "res4b17_res05"
top: "res4b17_res05"
name: "res4b17_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b17_res05"
top: "res4b18_branch2a_res05"
name: "res4b18_branch2a_res05"
type: "Convolution"
param {
name: "res4b18_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2a_res05"
top: "res4b18_branch2a_res05"
name: "bn4b18_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2a_res05"
top: "res4b18_branch2a_res05"
name: "scale4b18_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b18_branch2a_res05"
bottom: "res4b18_branch2a_res05"
name: "res4b18_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2a_res05"
top: "res4b18_branch2b_res05"
name: "res4b18_branch2b_res05"
type: "Convolution"
param {
name: "res4b18_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2b_res05"
top: "res4b18_branch2b_res05"
name: "bn4b18_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2b_res05"
top: "res4b18_branch2b_res05"
name: "scale4b18_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b18_branch2b_res05"
bottom: "res4b18_branch2b_res05"
name: "res4b18_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2b_res05"
top: "res4b18_branch2c_res05"
name: "res4b18_branch2c_res05"
type: "Convolution"
param {
name: "res4b18_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2c_res05"
top: "res4b18_branch2c_res05"
name: "bn4b18_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2c_res05"
top: "res4b18_branch2c_res05"
name: "scale4b18_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b17_res05"
bottom: "res4b18_branch2c_res05"
top: "res4b18_res05"
name: "res4b18_res05"
type: "Eltwise"
}
layer {
bottom: "res4b18_res05"
top: "res4b18_res05"
name: "res4b18_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b18_res05"
top: "res4b19_branch2a_res05"
name: "res4b19_branch2a_res05"
type: "Convolution"
param {
name: "res4b19_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2a_res05"
top: "res4b19_branch2a_res05"
name: "bn4b19_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2a_res05"
top: "res4b19_branch2a_res05"
name: "scale4b19_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b19_branch2a_res05"
bottom: "res4b19_branch2a_res05"
name: "res4b19_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2a_res05"
top: "res4b19_branch2b_res05"
name: "res4b19_branch2b_res05"
type: "Convolution"
param {
name: "res4b19_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2b_res05"
top: "res4b19_branch2b_res05"
name: "bn4b19_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2b_res05"
top: "res4b19_branch2b_res05"
name: "scale4b19_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b19_branch2b_res05"
bottom: "res4b19_branch2b_res05"
name: "res4b19_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2b_res05"
top: "res4b19_branch2c_res05"
name: "res4b19_branch2c_res05"
type: "Convolution"
param {
name: "res4b19_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2c_res05"
top: "res4b19_branch2c_res05"
name: "bn4b19_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2c_res05"
top: "res4b19_branch2c_res05"
name: "scale4b19_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b18_res05"
bottom: "res4b19_branch2c_res05"
top: "res4b19_res05"
name: "res4b19_res05"
type: "Eltwise"
}
layer {
bottom: "res4b19_res05"
top: "res4b19_res05"
name: "res4b19_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b19_res05"
top: "res4b20_branch2a_res05"
name: "res4b20_branch2a_res05"
type: "Convolution"
param {
name: "res4b20_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2a_res05"
top: "res4b20_branch2a_res05"
name: "bn4b20_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2a_res05"
top: "res4b20_branch2a_res05"
name: "scale4b20_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b20_branch2a_res05"
bottom: "res4b20_branch2a_res05"
name: "res4b20_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2a_res05"
top: "res4b20_branch2b_res05"
name: "res4b20_branch2b_res05"
type: "Convolution"
param {
name: "res4b20_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2b_res05"
top: "res4b20_branch2b_res05"
name: "bn4b20_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2b_res05"
top: "res4b20_branch2b_res05"
name: "scale4b20_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b20_branch2b_res05"
bottom: "res4b20_branch2b_res05"
name: "res4b20_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2b_res05"
top: "res4b20_branch2c_res05"
name: "res4b20_branch2c_res05"
type: "Convolution"
param {
name: "res4b20_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2c_res05"
top: "res4b20_branch2c_res05"
name: "bn4b20_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2c_res05"
top: "res4b20_branch2c_res05"
name: "scale4b20_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b19_res05"
bottom: "res4b20_branch2c_res05"
top: "res4b20_res05"
name: "res4b20_res05"
type: "Eltwise"
}
layer {
bottom: "res4b20_res05"
top: "res4b20_res05"
name: "res4b20_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b20_res05"
top: "res4b21_branch2a_res05"
name: "res4b21_branch2a_res05"
type: "Convolution"
param {
name: "res4b21_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2a_res05"
top: "res4b21_branch2a_res05"
name: "bn4b21_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2a_res05"
top: "res4b21_branch2a_res05"
name: "scale4b21_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b21_branch2a_res05"
bottom: "res4b21_branch2a_res05"
name: "res4b21_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2a_res05"
top: "res4b21_branch2b_res05"
name: "res4b21_branch2b_res05"
type: "Convolution"
param {
name: "res4b21_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2b_res05"
top: "res4b21_branch2b_res05"
name: "bn4b21_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2b_res05"
top: "res4b21_branch2b_res05"
name: "scale4b21_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b21_branch2b_res05"
bottom: "res4b21_branch2b_res05"
name: "res4b21_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2b_res05"
top: "res4b21_branch2c_res05"
name: "res4b21_branch2c_res05"
type: "Convolution"
param {
name: "res4b21_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2c_res05"
top: "res4b21_branch2c_res05"
name: "bn4b21_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2c_res05"
top: "res4b21_branch2c_res05"
name: "scale4b21_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b20_res05"
bottom: "res4b21_branch2c_res05"
top: "res4b21_res05"
name: "res4b21_res05"
type: "Eltwise"
}
layer {
bottom: "res4b21_res05"
top: "res4b21_res05"
name: "res4b21_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b21_res05"
top: "res4b22_branch2a_res05"
name: "res4b22_branch2a_res05"
type: "Convolution"
param {
name: "res4b22_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2a_res05"
top: "res4b22_branch2a_res05"
name: "bn4b22_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2a_res05"
top: "res4b22_branch2a_res05"
name: "scale4b22_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b22_branch2a_res05"
bottom: "res4b22_branch2a_res05"
name: "res4b22_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2a_res05"
top: "res4b22_branch2b_res05"
name: "res4b22_branch2b_res05"
type: "Convolution"
param {
name: "res4b22_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2b_res05"
top: "res4b22_branch2b_res05"
name: "bn4b22_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2b_res05"
top: "res4b22_branch2b_res05"
name: "scale4b22_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b22_branch2b_res05"
bottom: "res4b22_branch2b_res05"
name: "res4b22_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2b_res05"
top: "res4b22_branch2c_res05"
name: "res4b22_branch2c_res05"
type: "Convolution"
param {
name: "res4b22_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2c_res05"
top: "res4b22_branch2c_res05"
name: "bn4b22_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2c_res05"
top: "res4b22_branch2c_res05"
name: "scale4b22_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b21_res05"
bottom: "res4b22_branch2c_res05"
top: "res4b22_res05"
name: "res4b22_res05"
type: "Eltwise"
}
layer {
bottom: "res4b22_res05"
top: "res4b22_res05"
name: "res4b22_relu_res05"
type: "ReLU"
}
layer {
bottom: "res4b22_res05"
top: "res5a_branch1_res05"
name: "res5a_branch1_res05"
type: "Convolution"
param {
name: "res5a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch1_res05"
top: "res5a_branch1_res05"
name: "bn5a_branch1_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch1_0"
lr_mult: 0
}
param {
name: "bn5a_branch1_1"
lr_mult: 0
}
param {
name: "bn5a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch1_res05"
top: "res5a_branch1_res05"
name: "scale5a_branch1_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch1_0"
lr_mult: 0
}
param {
name: "scale5a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res4b22_res05"
top: "res5a_branch2a_res05"
name: "res5a_branch2a_res05"
type: "Convolution"
param {
name: "res5a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2a_res05"
top: "res5a_branch2a_res05"
name: "bn5a_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2a_0"
lr_mult: 0
}
param {
name: "bn5a_branch2a_1"
lr_mult: 0
}
param {
name: "bn5a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2a_res05"
top: "res5a_branch2a_res05"
name: "scale5a_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2a_0"
lr_mult: 0
}
param {
name: "scale5a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5a_branch2a_res05"
bottom: "res5a_branch2a_res05"
name: "res5a_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5a_branch2a_res05"
top: "res5a_branch2b_res05"
name: "res5a_branch2b_res05"
type: "Convolution"
param {
name: "res5a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2b_res05"
top: "res5a_branch2b_res05"
name: "bn5a_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2b_0"
lr_mult: 0
}
param {
name: "bn5a_branch2b_1"
lr_mult: 0
}
param {
name: "bn5a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2b_res05"
top: "res5a_branch2b_res05"
name: "scale5a_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2b_0"
lr_mult: 0
}
param {
name: "scale5a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5a_branch2b_res05"
bottom: "res5a_branch2b_res05"
name: "res5a_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5a_branch2b_res05"
top: "res5a_branch2c_res05"
name: "res5a_branch2c_res05"
type: "Convolution"
param {
name: "res5a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2c_res05"
top: "res5a_branch2c_res05"
name: "bn5a_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2c_0"
lr_mult: 0
}
param {
name: "bn5a_branch2c_1"
lr_mult: 0
}
param {
name: "bn5a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2c_res05"
top: "res5a_branch2c_res05"
name: "scale5a_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2c_0"
lr_mult: 0
}
param {
name: "scale5a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch1_res05"
bottom: "res5a_branch2c_res05"
top: "res5a_res05"
name: "res5a_res05"
type: "Eltwise"
}
layer {
bottom: "res5a_res05"
top: "res5a_res05"
name: "res5a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5a_res05"
top: "res5b_branch2a_res05"
name: "res5b_branch2a_res05"
type: "Convolution"
param {
name: "res5b_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2a_res05"
top: "res5b_branch2a_res05"
name: "bn5b_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2a_0"
lr_mult: 0
}
param {
name: "bn5b_branch2a_1"
lr_mult: 0
}
param {
name: "bn5b_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2a_res05"
top: "res5b_branch2a_res05"
name: "scale5b_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2a_0"
lr_mult: 0
}
param {
name: "scale5b_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5b_branch2a_res05"
bottom: "res5b_branch2a_res05"
name: "res5b_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5b_branch2a_res05"
top: "res5b_branch2b_res05"
name: "res5b_branch2b_res05"
type: "Convolution"
param {
name: "res5b_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2b_res05"
top: "res5b_branch2b_res05"
name: "bn5b_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2b_0"
lr_mult: 0
}
param {
name: "bn5b_branch2b_1"
lr_mult: 0
}
param {
name: "bn5b_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2b_res05"
top: "res5b_branch2b_res05"
name: "scale5b_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2b_0"
lr_mult: 0
}
param {
name: "scale5b_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5b_branch2b_res05"
bottom: "res5b_branch2b_res05"
name: "res5b_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5b_branch2b_res05"
top: "res5b_branch2c_res05"
name: "res5b_branch2c_res05"
type: "Convolution"
param {
name: "res5b_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2c_res05"
top: "res5b_branch2c_res05"
name: "bn5b_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2c_0"
lr_mult: 0
}
param {
name: "bn5b_branch2c_1"
lr_mult: 0
}
param {
name: "bn5b_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2c_res05"
top: "res5b_branch2c_res05"
name: "scale5b_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2c_0"
lr_mult: 0
}
param {
name: "scale5b_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5a_res05"
bottom: "res5b_branch2c_res05"
top: "res5b_res05"
name: "res5b_res05"
type: "Eltwise"
}
layer {
bottom: "res5b_res05"
top: "res5b_res05"
name: "res5b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5b_res05"
top: "res5c_branch2a_res05"
name: "res5c_branch2a_res05"
type: "Convolution"
param {
name: "res5c_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2a_res05"
top: "res5c_branch2a_res05"
name: "bn5c_branch2a_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2a_0"
lr_mult: 0
}
param {
name: "bn5c_branch2a_1"
lr_mult: 0
}
param {
name: "bn5c_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2a_res05"
top: "res5c_branch2a_res05"
name: "scale5c_branch2a_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2a_0"
lr_mult: 0
}
param {
name: "scale5c_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5c_branch2a_res05"
bottom: "res5c_branch2a_res05"
name: "res5c_branch2a_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5c_branch2a_res05"
top: "res5c_branch2b_res05"
name: "res5c_branch2b_res05"
type: "Convolution"
param {
name: "res5c_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2b_res05"
top: "res5c_branch2b_res05"
name: "bn5c_branch2b_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2b_0"
lr_mult: 0
}
param {
name: "bn5c_branch2b_1"
lr_mult: 0
}
param {
name: "bn5c_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2b_res05"
top: "res5c_branch2b_res05"
name: "scale5c_branch2b_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2b_0"
lr_mult: 0
}
param {
name: "scale5c_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5c_branch2b_res05"
bottom: "res5c_branch2b_res05"
name: "res5c_branch2b_relu_res05"
type: "ReLU"
}
layer {
bottom: "res5c_branch2b_res05"
top: "res5c_branch2c_res05"
name: "res5c_branch2c_res05"
type: "Convolution"
param {
name: "res5c_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2c_res05"
top: "res5c_branch2c_res05"
name: "bn5c_branch2c_res05"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2c_0"
lr_mult: 0
}
param {
name: "bn5c_branch2c_1"
lr_mult: 0
}
param {
name: "bn5c_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2c_res05"
top: "res5c_branch2c_res05"
name: "scale5c_branch2c_res05"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2c_0"
lr_mult: 0
}
param {
name: "scale5c_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5b_res05"
bottom: "res5c_branch2c_res05"
top: "res5c_res05"
name: "res5c_res05"
type: "Eltwise"
}
layer {
bottom: "res5c_res05"
top: "res5c_res05"
name: "res5c_relu_res05"
type: "ReLU"
}
###################### resolution 3/4 #####################
layer {
bottom: "data_res075"
top: "conv1_res075"
name: "conv1_res075"
type: "Convolution"
param {
name: "conv1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 7
pad: 3
stride: 2
bias_term: false
}
}
layer {
bottom: "conv1_res075"
top: "conv1_res075"
name: "bn_conv1_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn_conv1_0"
lr_mult: 0
}
param {
name: "bn_conv1_1"
lr_mult: 0
}
param {
name: "bn_conv1_2"
lr_mult: 0
}
}
layer {
bottom: "conv1_res075"
top: "conv1_res075"
name: "scale_conv1_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale_conv1_0"
lr_mult: 0
}
param {
name: "scale_conv1_1"
lr_mult: 0
}
}
layer {
top: "conv1_res075"
bottom: "conv1_res075"
name: "conv1_relu_res075"
type: "ReLU"
}
layer {
bottom: "conv1_res075"
top: "pool1_res075"
name: "pool1_res075"
type: "Pooling"
pooling_param {
kernel_size: 3
stride: 2
pad: 1
pool: MAX
}
}
layer {
bottom: "pool1_res075"
top: "res2a_branch1_res075"
name: "res2a_branch1_res075"
type: "Convolution"
param {
name: "res2a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch1_res075"
top: "res2a_branch1_res075"
name: "bn2a_branch1_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch1_0"
lr_mult: 0
}
param {
name: "bn2a_branch1_1"
lr_mult: 0
}
param {
name: "bn2a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch1_res075"
top: "res2a_branch1_res075"
name: "scale2a_branch1_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch1_0"
lr_mult: 0
}
param {
name: "scale2a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "pool1_res075"
top: "res2a_branch2a_res075"
name: "res2a_branch2a_res075"
type: "Convolution"
param {
name: "res2a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2a_res075"
top: "res2a_branch2a_res075"
name: "bn2a_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2a_0"
lr_mult: 0
}
param {
name: "bn2a_branch2a_1"
lr_mult: 0
}
param {
name: "bn2a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2a_res075"
top: "res2a_branch2a_res075"
name: "scale2a_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2a_0"
lr_mult: 0
}
param {
name: "scale2a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2a_branch2a_res075"
bottom: "res2a_branch2a_res075"
name: "res2a_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2a_branch2a_res075"
top: "res2a_branch2b_res075"
name: "res2a_branch2b_res075"
type: "Convolution"
param {
name: "res2a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2b_res075"
top: "res2a_branch2b_res075"
name: "bn2a_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2b_0"
lr_mult: 0
}
param {
name: "bn2a_branch2b_1"
lr_mult: 0
}
param {
name: "bn2a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2b_res075"
top: "res2a_branch2b_res075"
name: "scale2a_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2b_0"
lr_mult: 0
}
param {
name: "scale2a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2a_branch2b_res075"
bottom: "res2a_branch2b_res075"
name: "res2a_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2a_branch2b_res075"
top: "res2a_branch2c_res075"
name: "res2a_branch2c_res075"
type: "Convolution"
param {
name: "res2a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2a_branch2c_res075"
top: "res2a_branch2c_res075"
name: "bn2a_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2a_branch2c_0"
lr_mult: 0
}
param {
name: "bn2a_branch2c_1"
lr_mult: 0
}
param {
name: "bn2a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch2c_res075"
top: "res2a_branch2c_res075"
name: "scale2a_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2a_branch2c_0"
lr_mult: 0
}
param {
name: "scale2a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2a_branch1_res075"
bottom: "res2a_branch2c_res075"
top: "res2a_res075"
name: "res2a_res075"
type: "Eltwise"
}
layer {
bottom: "res2a_res075"
top: "res2a_res075"
name: "res2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2a_res075"
top: "res2b_branch2a_res075"
name: "res2b_branch2a_res075"
type: "Convolution"
param {
name: "res2b_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2a_res075"
top: "res2b_branch2a_res075"
name: "bn2b_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2a_0"
lr_mult: 0
}
param {
name: "bn2b_branch2a_1"
lr_mult: 0
}
param {
name: "bn2b_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2a_res075"
top: "res2b_branch2a_res075"
name: "scale2b_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2a_0"
lr_mult: 0
}
param {
name: "scale2b_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2b_branch2a_res075"
bottom: "res2b_branch2a_res075"
name: "res2b_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2b_branch2a_res075"
top: "res2b_branch2b_res075"
name: "res2b_branch2b_res075"
type: "Convolution"
param {
name: "res2b_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2b_res075"
top: "res2b_branch2b_res075"
name: "bn2b_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2b_0"
lr_mult: 0
}
param {
name: "bn2b_branch2b_1"
lr_mult: 0
}
param {
name: "bn2b_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2b_res075"
top: "res2b_branch2b_res075"
name: "scale2b_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2b_0"
lr_mult: 0
}
param {
name: "scale2b_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2b_branch2b_res075"
bottom: "res2b_branch2b_res075"
name: "res2b_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2b_branch2b_res075"
top: "res2b_branch2c_res075"
name: "res2b_branch2c_res075"
type: "Convolution"
param {
name: "res2b_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2b_branch2c_res075"
top: "res2b_branch2c_res075"
name: "bn2b_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2b_branch2c_0"
lr_mult: 0
}
param {
name: "bn2b_branch2c_1"
lr_mult: 0
}
param {
name: "bn2b_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2b_branch2c_res075"
top: "res2b_branch2c_res075"
name: "scale2b_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2b_branch2c_0"
lr_mult: 0
}
param {
name: "scale2b_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2a_res075"
bottom: "res2b_branch2c_res075"
top: "res2b_res075"
name: "res2b_res075"
type: "Eltwise"
}
layer {
bottom: "res2b_res075"
top: "res2b_res075"
name: "res2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2b_res075"
top: "res2c_branch2a_res075"
name: "res2c_branch2a_res075"
type: "Convolution"
param {
name: "res2c_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2a_res075"
top: "res2c_branch2a_res075"
name: "bn2c_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2a_0"
lr_mult: 0
}
param {
name: "bn2c_branch2a_1"
lr_mult: 0
}
param {
name: "bn2c_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2a_res075"
top: "res2c_branch2a_res075"
name: "scale2c_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2a_0"
lr_mult: 0
}
param {
name: "scale2c_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res2c_branch2a_res075"
bottom: "res2c_branch2a_res075"
name: "res2c_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2c_branch2a_res075"
top: "res2c_branch2b_res075"
name: "res2c_branch2b_res075"
type: "Convolution"
param {
name: "res2c_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2b_res075"
top: "res2c_branch2b_res075"
name: "bn2c_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2b_0"
lr_mult: 0
}
param {
name: "bn2c_branch2b_1"
lr_mult: 0
}
param {
name: "bn2c_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2b_res075"
top: "res2c_branch2b_res075"
name: "scale2c_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2b_0"
lr_mult: 0
}
param {
name: "scale2c_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res2c_branch2b_res075"
bottom: "res2c_branch2b_res075"
name: "res2c_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2c_branch2b_res075"
top: "res2c_branch2c_res075"
name: "res2c_branch2c_res075"
type: "Convolution"
param {
name: "res2c_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res2c_branch2c_res075"
top: "res2c_branch2c_res075"
name: "bn2c_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn2c_branch2c_0"
lr_mult: 0
}
param {
name: "bn2c_branch2c_1"
lr_mult: 0
}
param {
name: "bn2c_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res2c_branch2c_res075"
top: "res2c_branch2c_res075"
name: "scale2c_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale2c_branch2c_0"
lr_mult: 0
}
param {
name: "scale2c_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res2b_res075"
bottom: "res2c_branch2c_res075"
top: "res2c_res075"
name: "res2c_res075"
type: "Eltwise"
}
layer {
bottom: "res2c_res075"
top: "res2c_res075"
name: "res2c_relu_res075"
type: "ReLU"
}
layer {
bottom: "res2c_res075"
top: "res3a_branch1_res075"
name: "res3a_branch1_res075"
type: "Convolution"
param {
name: "res3a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 2
bias_term: false
}
}
layer {
bottom: "res3a_branch1_res075"
top: "res3a_branch1_res075"
name: "bn3a_branch1_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch1_0"
lr_mult: 0
}
param {
name: "bn3a_branch1_1"
lr_mult: 0
}
param {
name: "bn3a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch1_res075"
top: "res3a_branch1_res075"
name: "scale3a_branch1_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch1_0"
lr_mult: 0
}
param {
name: "scale3a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res2c_res075"
top: "res3a_branch2a_res075"
name: "res3a_branch2a_res075"
type: "Convolution"
param {
name: "res3a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 2
bias_term: false
}
}
layer {
bottom: "res3a_branch2a_res075"
top: "res3a_branch2a_res075"
name: "bn3a_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2a_0"
lr_mult: 0
}
param {
name: "bn3a_branch2a_1"
lr_mult: 0
}
param {
name: "bn3a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2a_res075"
top: "res3a_branch2a_res075"
name: "scale3a_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2a_0"
lr_mult: 0
}
param {
name: "scale3a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3a_branch2a_res075"
bottom: "res3a_branch2a_res075"
name: "res3a_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3a_branch2a_res075"
top: "res3a_branch2b_res075"
name: "res3a_branch2b_res075"
type: "Convolution"
param {
name: "res3a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3a_branch2b_res075"
top: "res3a_branch2b_res075"
name: "bn3a_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2b_0"
lr_mult: 0
}
param {
name: "bn3a_branch2b_1"
lr_mult: 0
}
param {
name: "bn3a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2b_res075"
top: "res3a_branch2b_res075"
name: "scale3a_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2b_0"
lr_mult: 0
}
param {
name: "scale3a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3a_branch2b_res075"
bottom: "res3a_branch2b_res075"
name: "res3a_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3a_branch2b_res075"
top: "res3a_branch2c_res075"
name: "res3a_branch2c_res075"
type: "Convolution"
param {
name: "res3a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3a_branch2c_res075"
top: "res3a_branch2c_res075"
name: "bn3a_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3a_branch2c_0"
lr_mult: 0
}
param {
name: "bn3a_branch2c_1"
lr_mult: 0
}
param {
name: "bn3a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch2c_res075"
top: "res3a_branch2c_res075"
name: "scale3a_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3a_branch2c_0"
lr_mult: 0
}
param {
name: "scale3a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3a_branch1_res075"
bottom: "res3a_branch2c_res075"
top: "res3a_res075"
name: "res3a_res075"
type: "Eltwise"
}
layer {
bottom: "res3a_res075"
top: "res3a_res075"
name: "res3a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3a_res075"
top: "res3b1_branch2a_res075"
name: "res3b1_branch2a_res075"
type: "Convolution"
param {
name: "res3b1_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2a_res075"
top: "res3b1_branch2a_res075"
name: "bn3b1_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2a_res075"
top: "res3b1_branch2a_res075"
name: "scale3b1_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b1_branch2a_res075"
bottom: "res3b1_branch2a_res075"
name: "res3b1_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2a_res075"
top: "res3b1_branch2b_res075"
name: "res3b1_branch2b_res075"
type: "Convolution"
param {
name: "res3b1_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2b_res075"
top: "res3b1_branch2b_res075"
name: "bn3b1_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2b_res075"
top: "res3b1_branch2b_res075"
name: "scale3b1_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b1_branch2b_res075"
bottom: "res3b1_branch2b_res075"
name: "res3b1_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2b_res075"
top: "res3b1_branch2c_res075"
name: "res3b1_branch2c_res075"
type: "Convolution"
param {
name: "res3b1_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2c_res075"
top: "res3b1_branch2c_res075"
name: "bn3b1_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b1_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b1_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b1_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b1_branch2c_res075"
top: "res3b1_branch2c_res075"
name: "scale3b1_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b1_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b1_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3a_res075"
bottom: "res3b1_branch2c_res075"
top: "res3b1_res075"
name: "res3b1_res075"
type: "Eltwise"
}
layer {
bottom: "res3b1_res075"
top: "res3b1_res075"
name: "res3b1_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b1_res075"
top: "res3b2_branch2a_res075"
name: "res3b2_branch2a_res075"
type: "Convolution"
param {
name: "res3b2_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2a_res075"
top: "res3b2_branch2a_res075"
name: "bn3b2_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2a_res075"
top: "res3b2_branch2a_res075"
name: "scale3b2_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b2_branch2a_res075"
bottom: "res3b2_branch2a_res075"
name: "res3b2_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2a_res075"
top: "res3b2_branch2b_res075"
name: "res3b2_branch2b_res075"
type: "Convolution"
param {
name: "res3b2_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2b_res075"
top: "res3b2_branch2b_res075"
name: "bn3b2_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2b_res075"
top: "res3b2_branch2b_res075"
name: "scale3b2_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b2_branch2b_res075"
bottom: "res3b2_branch2b_res075"
name: "res3b2_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2b_res075"
top: "res3b2_branch2c_res075"
name: "res3b2_branch2c_res075"
type: "Convolution"
param {
name: "res3b2_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2c_res075"
top: "res3b2_branch2c_res075"
name: "bn3b2_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b2_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b2_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b2_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b2_branch2c_res075"
top: "res3b2_branch2c_res075"
name: "scale3b2_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b2_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b2_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3b1_res075"
bottom: "res3b2_branch2c_res075"
top: "res3b2_res075"
name: "res3b2_res075"
type: "Eltwise"
}
layer {
bottom: "res3b2_res075"
top: "res3b2_res075"
name: "res3b2_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b2_res075"
top: "res3b3_branch2a_res075"
name: "res3b3_branch2a_res075"
type: "Convolution"
param {
name: "res3b3_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2a_res075"
top: "res3b3_branch2a_res075"
name: "bn3b3_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2a_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2a_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2a_res075"
top: "res3b3_branch2a_res075"
name: "scale3b3_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2a_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res3b3_branch2a_res075"
bottom: "res3b3_branch2a_res075"
name: "res3b3_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2a_res075"
top: "res3b3_branch2b_res075"
name: "res3b3_branch2b_res075"
type: "Convolution"
param {
name: "res3b3_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2b_res075"
top: "res3b3_branch2b_res075"
name: "bn3b3_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2b_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2b_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2b_res075"
top: "res3b3_branch2b_res075"
name: "scale3b3_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2b_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res3b3_branch2b_res075"
bottom: "res3b3_branch2b_res075"
name: "res3b3_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2b_res075"
top: "res3b3_branch2c_res075"
name: "res3b3_branch2c_res075"
type: "Convolution"
param {
name: "res3b3_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2c_res075"
top: "res3b3_branch2c_res075"
name: "bn3b3_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn3b3_branch2c_0"
lr_mult: 0
}
param {
name: "bn3b3_branch2c_1"
lr_mult: 0
}
param {
name: "bn3b3_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res3b3_branch2c_res075"
top: "res3b3_branch2c_res075"
name: "scale3b3_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale3b3_branch2c_0"
lr_mult: 0
}
param {
name: "scale3b3_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res3b2_res075"
bottom: "res3b3_branch2c_res075"
top: "res3b3_res075"
name: "res3b3_res075"
type: "Eltwise"
}
layer {
bottom: "res3b3_res075"
top: "res3b3_res075"
name: "res3b3_relu_res075"
type: "ReLU"
}
layer {
bottom: "res3b3_res075"
top: "res4a_branch1_res075"
name: "res4a_branch1_res075"
type: "Convolution"
param {
name: "res4a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch1_res075"
top: "res4a_branch1_res075"
name: "bn4a_branch1_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch1_0"
lr_mult: 0
}
param {
name: "bn4a_branch1_1"
lr_mult: 0
}
param {
name: "bn4a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch1_res075"
top: "res4a_branch1_res075"
name: "scale4a_branch1_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch1_0"
lr_mult: 0
}
param {
name: "scale4a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res3b3_res075"
top: "res4a_branch2a_res075"
name: "res4a_branch2a_res075"
type: "Convolution"
param {
name: "res4a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2a_res075"
top: "res4a_branch2a_res075"
name: "bn4a_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2a_0"
lr_mult: 0
}
param {
name: "bn4a_branch2a_1"
lr_mult: 0
}
param {
name: "bn4a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2a_res075"
top: "res4a_branch2a_res075"
name: "scale4a_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2a_0"
lr_mult: 0
}
param {
name: "scale4a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4a_branch2a_res075"
bottom: "res4a_branch2a_res075"
name: "res4a_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4a_branch2a_res075"
top: "res4a_branch2b_res075"
name: "res4a_branch2b_res075"
type: "Convolution"
param {
name: "res4a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2b_res075"
top: "res4a_branch2b_res075"
name: "bn4a_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2b_0"
lr_mult: 0
}
param {
name: "bn4a_branch2b_1"
lr_mult: 0
}
param {
name: "bn4a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2b_res075"
top: "res4a_branch2b_res075"
name: "scale4a_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2b_0"
lr_mult: 0
}
param {
name: "scale4a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4a_branch2b_res075"
bottom: "res4a_branch2b_res075"
name: "res4a_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4a_branch2b_res075"
top: "res4a_branch2c_res075"
name: "res4a_branch2c_res075"
type: "Convolution"
param {
name: "res4a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4a_branch2c_res075"
top: "res4a_branch2c_res075"
name: "bn4a_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4a_branch2c_0"
lr_mult: 0
}
param {
name: "bn4a_branch2c_1"
lr_mult: 0
}
param {
name: "bn4a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch2c_res075"
top: "res4a_branch2c_res075"
name: "scale4a_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4a_branch2c_0"
lr_mult: 0
}
param {
name: "scale4a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4a_branch1_res075"
bottom: "res4a_branch2c_res075"
top: "res4a_res075"
name: "res4a_res075"
type: "Eltwise"
}
layer {
bottom: "res4a_res075"
top: "res4a_res075"
name: "res4a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4a_res075"
top: "res4b1_branch2a_res075"
name: "res4b1_branch2a_res075"
type: "Convolution"
param {
name: "res4b1_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2a_res075"
top: "res4b1_branch2a_res075"
name: "bn4b1_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2a_res075"
top: "res4b1_branch2a_res075"
name: "scale4b1_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b1_branch2a_res075"
bottom: "res4b1_branch2a_res075"
name: "res4b1_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2a_res075"
top: "res4b1_branch2b_res075"
name: "res4b1_branch2b_res075"
type: "Convolution"
param {
name: "res4b1_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2b_res075"
top: "res4b1_branch2b_res075"
name: "bn4b1_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2b_res075"
top: "res4b1_branch2b_res075"
name: "scale4b1_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b1_branch2b_res075"
bottom: "res4b1_branch2b_res075"
name: "res4b1_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2b_res075"
top: "res4b1_branch2c_res075"
name: "res4b1_branch2c_res075"
type: "Convolution"
param {
name: "res4b1_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2c_res075"
top: "res4b1_branch2c_res075"
name: "bn4b1_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b1_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b1_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b1_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b1_branch2c_res075"
top: "res4b1_branch2c_res075"
name: "scale4b1_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b1_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b1_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4a_res075"
bottom: "res4b1_branch2c_res075"
top: "res4b1_res075"
name: "res4b1_res075"
type: "Eltwise"
}
layer {
bottom: "res4b1_res075"
top: "res4b1_res075"
name: "res4b1_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b1_res075"
top: "res4b2_branch2a_res075"
name: "res4b2_branch2a_res075"
type: "Convolution"
param {
name: "res4b2_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2a_res075"
top: "res4b2_branch2a_res075"
name: "bn4b2_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2a_res075"
top: "res4b2_branch2a_res075"
name: "scale4b2_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b2_branch2a_res075"
bottom: "res4b2_branch2a_res075"
name: "res4b2_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2a_res075"
top: "res4b2_branch2b_res075"
name: "res4b2_branch2b_res075"
type: "Convolution"
param {
name: "res4b2_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2b_res075"
top: "res4b2_branch2b_res075"
name: "bn4b2_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2b_res075"
top: "res4b2_branch2b_res075"
name: "scale4b2_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b2_branch2b_res075"
bottom: "res4b2_branch2b_res075"
name: "res4b2_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2b_res075"
top: "res4b2_branch2c_res075"
name: "res4b2_branch2c_res075"
type: "Convolution"
param {
name: "res4b2_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2c_res075"
top: "res4b2_branch2c_res075"
name: "bn4b2_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b2_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b2_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b2_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b2_branch2c_res075"
top: "res4b2_branch2c_res075"
name: "scale4b2_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b2_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b2_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b1_res075"
bottom: "res4b2_branch2c_res075"
top: "res4b2_res075"
name: "res4b2_res075"
type: "Eltwise"
}
layer {
bottom: "res4b2_res075"
top: "res4b2_res075"
name: "res4b2_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b2_res075"
top: "res4b3_branch2a_res075"
name: "res4b3_branch2a_res075"
type: "Convolution"
param {
name: "res4b3_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2a_res075"
top: "res4b3_branch2a_res075"
name: "bn4b3_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2a_res075"
top: "res4b3_branch2a_res075"
name: "scale4b3_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b3_branch2a_res075"
bottom: "res4b3_branch2a_res075"
name: "res4b3_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2a_res075"
top: "res4b3_branch2b_res075"
name: "res4b3_branch2b_res075"
type: "Convolution"
param {
name: "res4b3_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2b_res075"
top: "res4b3_branch2b_res075"
name: "bn4b3_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2b_res075"
top: "res4b3_branch2b_res075"
name: "scale4b3_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b3_branch2b_res075"
bottom: "res4b3_branch2b_res075"
name: "res4b3_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2b_res075"
top: "res4b3_branch2c_res075"
name: "res4b3_branch2c_res075"
type: "Convolution"
param {
name: "res4b3_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2c_res075"
top: "res4b3_branch2c_res075"
name: "bn4b3_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b3_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b3_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b3_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b3_branch2c_res075"
top: "res4b3_branch2c_res075"
name: "scale4b3_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b3_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b3_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b2_res075"
bottom: "res4b3_branch2c_res075"
top: "res4b3_res075"
name: "res4b3_res075"
type: "Eltwise"
}
layer {
bottom: "res4b3_res075"
top: "res4b3_res075"
name: "res4b3_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b3_res075"
top: "res4b4_branch2a_res075"
name: "res4b4_branch2a_res075"
type: "Convolution"
param {
name: "res4b4_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2a_res075"
top: "res4b4_branch2a_res075"
name: "bn4b4_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2a_res075"
top: "res4b4_branch2a_res075"
name: "scale4b4_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b4_branch2a_res075"
bottom: "res4b4_branch2a_res075"
name: "res4b4_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2a_res075"
top: "res4b4_branch2b_res075"
name: "res4b4_branch2b_res075"
type: "Convolution"
param {
name: "res4b4_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2b_res075"
top: "res4b4_branch2b_res075"
name: "bn4b4_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2b_res075"
top: "res4b4_branch2b_res075"
name: "scale4b4_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b4_branch2b_res075"
bottom: "res4b4_branch2b_res075"
name: "res4b4_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2b_res075"
top: "res4b4_branch2c_res075"
name: "res4b4_branch2c_res075"
type: "Convolution"
param {
name: "res4b4_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2c_res075"
top: "res4b4_branch2c_res075"
name: "bn4b4_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b4_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b4_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b4_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b4_branch2c_res075"
top: "res4b4_branch2c_res075"
name: "scale4b4_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b4_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b4_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b3_res075"
bottom: "res4b4_branch2c_res075"
top: "res4b4_res075"
name: "res4b4_res075"
type: "Eltwise"
}
layer {
bottom: "res4b4_res075"
top: "res4b4_res075"
name: "res4b4_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b4_res075"
top: "res4b5_branch2a_res075"
name: "res4b5_branch2a_res075"
type: "Convolution"
param {
name: "res4b5_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2a_res075"
top: "res4b5_branch2a_res075"
name: "bn4b5_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2a_res075"
top: "res4b5_branch2a_res075"
name: "scale4b5_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b5_branch2a_res075"
bottom: "res4b5_branch2a_res075"
name: "res4b5_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2a_res075"
top: "res4b5_branch2b_res075"
name: "res4b5_branch2b_res075"
type: "Convolution"
param {
name: "res4b5_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2b_res075"
top: "res4b5_branch2b_res075"
name: "bn4b5_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2b_res075"
top: "res4b5_branch2b_res075"
name: "scale4b5_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b5_branch2b_res075"
bottom: "res4b5_branch2b_res075"
name: "res4b5_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2b_res075"
top: "res4b5_branch2c_res075"
name: "res4b5_branch2c_res075"
type: "Convolution"
param {
name: "res4b5_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2c_res075"
top: "res4b5_branch2c_res075"
name: "bn4b5_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b5_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b5_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b5_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b5_branch2c_res075"
top: "res4b5_branch2c_res075"
name: "scale4b5_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b5_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b5_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b4_res075"
bottom: "res4b5_branch2c_res075"
top: "res4b5_res075"
name: "res4b5_res075"
type: "Eltwise"
}
layer {
bottom: "res4b5_res075"
top: "res4b5_res075"
name: "res4b5_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b5_res075"
top: "res4b6_branch2a_res075"
name: "res4b6_branch2a_res075"
type: "Convolution"
param {
name: "res4b6_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2a_res075"
top: "res4b6_branch2a_res075"
name: "bn4b6_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2a_res075"
top: "res4b6_branch2a_res075"
name: "scale4b6_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b6_branch2a_res075"
bottom: "res4b6_branch2a_res075"
name: "res4b6_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2a_res075"
top: "res4b6_branch2b_res075"
name: "res4b6_branch2b_res075"
type: "Convolution"
param {
name: "res4b6_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2b_res075"
top: "res4b6_branch2b_res075"
name: "bn4b6_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2b_res075"
top: "res4b6_branch2b_res075"
name: "scale4b6_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b6_branch2b_res075"
bottom: "res4b6_branch2b_res075"
name: "res4b6_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2b_res075"
top: "res4b6_branch2c_res075"
name: "res4b6_branch2c_res075"
type: "Convolution"
param {
name: "res4b6_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2c_res075"
top: "res4b6_branch2c_res075"
name: "bn4b6_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b6_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b6_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b6_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b6_branch2c_res075"
top: "res4b6_branch2c_res075"
name: "scale4b6_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b6_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b6_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b5_res075"
bottom: "res4b6_branch2c_res075"
top: "res4b6_res075"
name: "res4b6_res075"
type: "Eltwise"
}
layer {
bottom: "res4b6_res075"
top: "res4b6_res075"
name: "res4b6_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b6_res075"
top: "res4b7_branch2a_res075"
name: "res4b7_branch2a_res075"
type: "Convolution"
param {
name: "res4b7_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2a_res075"
top: "res4b7_branch2a_res075"
name: "bn4b7_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2a_res075"
top: "res4b7_branch2a_res075"
name: "scale4b7_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b7_branch2a_res075"
bottom: "res4b7_branch2a_res075"
name: "res4b7_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2a_res075"
top: "res4b7_branch2b_res075"
name: "res4b7_branch2b_res075"
type: "Convolution"
param {
name: "res4b7_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2b_res075"
top: "res4b7_branch2b_res075"
name: "bn4b7_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2b_res075"
top: "res4b7_branch2b_res075"
name: "scale4b7_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b7_branch2b_res075"
bottom: "res4b7_branch2b_res075"
name: "res4b7_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2b_res075"
top: "res4b7_branch2c_res075"
name: "res4b7_branch2c_res075"
type: "Convolution"
param {
name: "res4b7_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2c_res075"
top: "res4b7_branch2c_res075"
name: "bn4b7_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b7_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b7_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b7_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b7_branch2c_res075"
top: "res4b7_branch2c_res075"
name: "scale4b7_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b7_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b7_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b6_res075"
bottom: "res4b7_branch2c_res075"
top: "res4b7_res075"
name: "res4b7_res075"
type: "Eltwise"
}
layer {
bottom: "res4b7_res075"
top: "res4b7_res075"
name: "res4b7_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b7_res075"
top: "res4b8_branch2a_res075"
name: "res4b8_branch2a_res075"
type: "Convolution"
param {
name: "res4b8_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2a_res075"
top: "res4b8_branch2a_res075"
name: "bn4b8_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2a_res075"
top: "res4b8_branch2a_res075"
name: "scale4b8_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b8_branch2a_res075"
bottom: "res4b8_branch2a_res075"
name: "res4b8_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2a_res075"
top: "res4b8_branch2b_res075"
name: "res4b8_branch2b_res075"
type: "Convolution"
param {
name: "res4b8_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2b_res075"
top: "res4b8_branch2b_res075"
name: "bn4b8_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2b_res075"
top: "res4b8_branch2b_res075"
name: "scale4b8_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b8_branch2b_res075"
bottom: "res4b8_branch2b_res075"
name: "res4b8_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2b_res075"
top: "res4b8_branch2c_res075"
name: "res4b8_branch2c_res075"
type: "Convolution"
param {
name: "res4b8_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2c_res075"
top: "res4b8_branch2c_res075"
name: "bn4b8_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b8_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b8_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b8_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b8_branch2c_res075"
top: "res4b8_branch2c_res075"
name: "scale4b8_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b8_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b8_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b7_res075"
bottom: "res4b8_branch2c_res075"
top: "res4b8_res075"
name: "res4b8_res075"
type: "Eltwise"
}
layer {
bottom: "res4b8_res075"
top: "res4b8_res075"
name: "res4b8_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b8_res075"
top: "res4b9_branch2a_res075"
name: "res4b9_branch2a_res075"
type: "Convolution"
param {
name: "res4b9_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2a_res075"
top: "res4b9_branch2a_res075"
name: "bn4b9_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2a_res075"
top: "res4b9_branch2a_res075"
name: "scale4b9_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b9_branch2a_res075"
bottom: "res4b9_branch2a_res075"
name: "res4b9_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2a_res075"
top: "res4b9_branch2b_res075"
name: "res4b9_branch2b_res075"
type: "Convolution"
param {
name: "res4b9_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2b_res075"
top: "res4b9_branch2b_res075"
name: "bn4b9_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2b_res075"
top: "res4b9_branch2b_res075"
name: "scale4b9_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b9_branch2b_res075"
bottom: "res4b9_branch2b_res075"
name: "res4b9_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2b_res075"
top: "res4b9_branch2c_res075"
name: "res4b9_branch2c_res075"
type: "Convolution"
param {
name: "res4b9_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2c_res075"
top: "res4b9_branch2c_res075"
name: "bn4b9_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b9_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b9_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b9_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b9_branch2c_res075"
top: "res4b9_branch2c_res075"
name: "scale4b9_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b9_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b9_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b8_res075"
bottom: "res4b9_branch2c_res075"
top: "res4b9_res075"
name: "res4b9_res075"
type: "Eltwise"
}
layer {
bottom: "res4b9_res075"
top: "res4b9_res075"
name: "res4b9_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b9_res075"
top: "res4b10_branch2a_res075"
name: "res4b10_branch2a_res075"
type: "Convolution"
param {
name: "res4b10_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2a_res075"
top: "res4b10_branch2a_res075"
name: "bn4b10_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2a_res075"
top: "res4b10_branch2a_res075"
name: "scale4b10_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b10_branch2a_res075"
bottom: "res4b10_branch2a_res075"
name: "res4b10_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2a_res075"
top: "res4b10_branch2b_res075"
name: "res4b10_branch2b_res075"
type: "Convolution"
param {
name: "res4b10_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2b_res075"
top: "res4b10_branch2b_res075"
name: "bn4b10_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2b_res075"
top: "res4b10_branch2b_res075"
name: "scale4b10_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b10_branch2b_res075"
bottom: "res4b10_branch2b_res075"
name: "res4b10_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2b_res075"
top: "res4b10_branch2c_res075"
name: "res4b10_branch2c_res075"
type: "Convolution"
param {
name: "res4b10_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2c_res075"
top: "res4b10_branch2c_res075"
name: "bn4b10_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b10_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b10_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b10_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b10_branch2c_res075"
top: "res4b10_branch2c_res075"
name: "scale4b10_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b10_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b10_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b9_res075"
bottom: "res4b10_branch2c_res075"
top: "res4b10_res075"
name: "res4b10_res075"
type: "Eltwise"
}
layer {
bottom: "res4b10_res075"
top: "res4b10_res075"
name: "res4b10_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b10_res075"
top: "res4b11_branch2a_res075"
name: "res4b11_branch2a_res075"
type: "Convolution"
param {
name: "res4b11_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2a_res075"
top: "res4b11_branch2a_res075"
name: "bn4b11_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2a_res075"
top: "res4b11_branch2a_res075"
name: "scale4b11_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b11_branch2a_res075"
bottom: "res4b11_branch2a_res075"
name: "res4b11_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2a_res075"
top: "res4b11_branch2b_res075"
name: "res4b11_branch2b_res075"
type: "Convolution"
param {
name: "res4b11_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2b_res075"
top: "res4b11_branch2b_res075"
name: "bn4b11_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2b_res075"
top: "res4b11_branch2b_res075"
name: "scale4b11_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b11_branch2b_res075"
bottom: "res4b11_branch2b_res075"
name: "res4b11_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2b_res075"
top: "res4b11_branch2c_res075"
name: "res4b11_branch2c_res075"
type: "Convolution"
param {
name: "res4b11_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2c_res075"
top: "res4b11_branch2c_res075"
name: "bn4b11_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b11_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b11_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b11_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b11_branch2c_res075"
top: "res4b11_branch2c_res075"
name: "scale4b11_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b11_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b11_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b10_res075"
bottom: "res4b11_branch2c_res075"
top: "res4b11_res075"
name: "res4b11_res075"
type: "Eltwise"
}
layer {
bottom: "res4b11_res075"
top: "res4b11_res075"
name: "res4b11_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b11_res075"
top: "res4b12_branch2a_res075"
name: "res4b12_branch2a_res075"
type: "Convolution"
param {
name: "res4b12_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2a_res075"
top: "res4b12_branch2a_res075"
name: "bn4b12_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2a_res075"
top: "res4b12_branch2a_res075"
name: "scale4b12_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b12_branch2a_res075"
bottom: "res4b12_branch2a_res075"
name: "res4b12_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2a_res075"
top: "res4b12_branch2b_res075"
name: "res4b12_branch2b_res075"
type: "Convolution"
param {
name: "res4b12_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2b_res075"
top: "res4b12_branch2b_res075"
name: "bn4b12_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2b_res075"
top: "res4b12_branch2b_res075"
name: "scale4b12_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b12_branch2b_res075"
bottom: "res4b12_branch2b_res075"
name: "res4b12_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2b_res075"
top: "res4b12_branch2c_res075"
name: "res4b12_branch2c_res075"
type: "Convolution"
param {
name: "res4b12_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2c_res075"
top: "res4b12_branch2c_res075"
name: "bn4b12_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b12_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b12_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b12_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b12_branch2c_res075"
top: "res4b12_branch2c_res075"
name: "scale4b12_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b12_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b12_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b11_res075"
bottom: "res4b12_branch2c_res075"
top: "res4b12_res075"
name: "res4b12_res075"
type: "Eltwise"
}
layer {
bottom: "res4b12_res075"
top: "res4b12_res075"
name: "res4b12_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b12_res075"
top: "res4b13_branch2a_res075"
name: "res4b13_branch2a_res075"
type: "Convolution"
param {
name: "res4b13_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2a_res075"
top: "res4b13_branch2a_res075"
name: "bn4b13_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2a_res075"
top: "res4b13_branch2a_res075"
name: "scale4b13_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b13_branch2a_res075"
bottom: "res4b13_branch2a_res075"
name: "res4b13_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2a_res075"
top: "res4b13_branch2b_res075"
name: "res4b13_branch2b_res075"
type: "Convolution"
param {
name: "res4b13_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2b_res075"
top: "res4b13_branch2b_res075"
name: "bn4b13_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2b_res075"
top: "res4b13_branch2b_res075"
name: "scale4b13_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b13_branch2b_res075"
bottom: "res4b13_branch2b_res075"
name: "res4b13_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2b_res075"
top: "res4b13_branch2c_res075"
name: "res4b13_branch2c_res075"
type: "Convolution"
param {
name: "res4b13_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2c_res075"
top: "res4b13_branch2c_res075"
name: "bn4b13_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b13_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b13_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b13_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b13_branch2c_res075"
top: "res4b13_branch2c_res075"
name: "scale4b13_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b13_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b13_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b12_res075"
bottom: "res4b13_branch2c_res075"
top: "res4b13_res075"
name: "res4b13_res075"
type: "Eltwise"
}
layer {
bottom: "res4b13_res075"
top: "res4b13_res075"
name: "res4b13_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b13_res075"
top: "res4b14_branch2a_res075"
name: "res4b14_branch2a_res075"
type: "Convolution"
param {
name: "res4b14_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2a_res075"
top: "res4b14_branch2a_res075"
name: "bn4b14_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2a_res075"
top: "res4b14_branch2a_res075"
name: "scale4b14_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b14_branch2a_res075"
bottom: "res4b14_branch2a_res075"
name: "res4b14_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2a_res075"
top: "res4b14_branch2b_res075"
name: "res4b14_branch2b_res075"
type: "Convolution"
param {
name: "res4b14_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2b_res075"
top: "res4b14_branch2b_res075"
name: "bn4b14_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2b_res075"
top: "res4b14_branch2b_res075"
name: "scale4b14_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b14_branch2b_res075"
bottom: "res4b14_branch2b_res075"
name: "res4b14_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2b_res075"
top: "res4b14_branch2c_res075"
name: "res4b14_branch2c_res075"
type: "Convolution"
param {
name: "res4b14_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2c_res075"
top: "res4b14_branch2c_res075"
name: "bn4b14_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b14_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b14_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b14_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b14_branch2c_res075"
top: "res4b14_branch2c_res075"
name: "scale4b14_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b14_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b14_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b13_res075"
bottom: "res4b14_branch2c_res075"
top: "res4b14_res075"
name: "res4b14_res075"
type: "Eltwise"
}
layer {
bottom: "res4b14_res075"
top: "res4b14_res075"
name: "res4b14_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b14_res075"
top: "res4b15_branch2a_res075"
name: "res4b15_branch2a_res075"
type: "Convolution"
param {
name: "res4b15_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2a_res075"
top: "res4b15_branch2a_res075"
name: "bn4b15_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2a_res075"
top: "res4b15_branch2a_res075"
name: "scale4b15_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b15_branch2a_res075"
bottom: "res4b15_branch2a_res075"
name: "res4b15_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2a_res075"
top: "res4b15_branch2b_res075"
name: "res4b15_branch2b_res075"
type: "Convolution"
param {
name: "res4b15_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2b_res075"
top: "res4b15_branch2b_res075"
name: "bn4b15_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2b_res075"
top: "res4b15_branch2b_res075"
name: "scale4b15_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b15_branch2b_res075"
bottom: "res4b15_branch2b_res075"
name: "res4b15_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2b_res075"
top: "res4b15_branch2c_res075"
name: "res4b15_branch2c_res075"
type: "Convolution"
param {
name: "res4b15_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2c_res075"
top: "res4b15_branch2c_res075"
name: "bn4b15_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b15_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b15_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b15_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b15_branch2c_res075"
top: "res4b15_branch2c_res075"
name: "scale4b15_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b15_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b15_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b14_res075"
bottom: "res4b15_branch2c_res075"
top: "res4b15_res075"
name: "res4b15_res075"
type: "Eltwise"
}
layer {
bottom: "res4b15_res075"
top: "res4b15_res075"
name: "res4b15_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b15_res075"
top: "res4b16_branch2a_res075"
name: "res4b16_branch2a_res075"
type: "Convolution"
param {
name: "res4b16_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2a_res075"
top: "res4b16_branch2a_res075"
name: "bn4b16_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2a_res075"
top: "res4b16_branch2a_res075"
name: "scale4b16_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b16_branch2a_res075"
bottom: "res4b16_branch2a_res075"
name: "res4b16_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2a_res075"
top: "res4b16_branch2b_res075"
name: "res4b16_branch2b_res075"
type: "Convolution"
param {
name: "res4b16_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2b_res075"
top: "res4b16_branch2b_res075"
name: "bn4b16_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2b_res075"
top: "res4b16_branch2b_res075"
name: "scale4b16_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b16_branch2b_res075"
bottom: "res4b16_branch2b_res075"
name: "res4b16_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2b_res075"
top: "res4b16_branch2c_res075"
name: "res4b16_branch2c_res075"
type: "Convolution"
param {
name: "res4b16_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2c_res075"
top: "res4b16_branch2c_res075"
name: "bn4b16_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b16_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b16_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b16_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b16_branch2c_res075"
top: "res4b16_branch2c_res075"
name: "scale4b16_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b16_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b16_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b15_res075"
bottom: "res4b16_branch2c_res075"
top: "res4b16_res075"
name: "res4b16_res075"
type: "Eltwise"
}
layer {
bottom: "res4b16_res075"
top: "res4b16_res075"
name: "res4b16_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b16_res075"
top: "res4b17_branch2a_res075"
name: "res4b17_branch2a_res075"
type: "Convolution"
param {
name: "res4b17_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2a_res075"
top: "res4b17_branch2a_res075"
name: "bn4b17_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2a_res075"
top: "res4b17_branch2a_res075"
name: "scale4b17_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b17_branch2a_res075"
bottom: "res4b17_branch2a_res075"
name: "res4b17_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2a_res075"
top: "res4b17_branch2b_res075"
name: "res4b17_branch2b_res075"
type: "Convolution"
param {
name: "res4b17_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2b_res075"
top: "res4b17_branch2b_res075"
name: "bn4b17_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2b_res075"
top: "res4b17_branch2b_res075"
name: "scale4b17_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b17_branch2b_res075"
bottom: "res4b17_branch2b_res075"
name: "res4b17_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2b_res075"
top: "res4b17_branch2c_res075"
name: "res4b17_branch2c_res075"
type: "Convolution"
param {
name: "res4b17_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2c_res075"
top: "res4b17_branch2c_res075"
name: "bn4b17_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b17_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b17_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b17_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b17_branch2c_res075"
top: "res4b17_branch2c_res075"
name: "scale4b17_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b17_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b17_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b16_res075"
bottom: "res4b17_branch2c_res075"
top: "res4b17_res075"
name: "res4b17_res075"
type: "Eltwise"
}
layer {
bottom: "res4b17_res075"
top: "res4b17_res075"
name: "res4b17_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b17_res075"
top: "res4b18_branch2a_res075"
name: "res4b18_branch2a_res075"
type: "Convolution"
param {
name: "res4b18_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2a_res075"
top: "res4b18_branch2a_res075"
name: "bn4b18_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2a_res075"
top: "res4b18_branch2a_res075"
name: "scale4b18_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b18_branch2a_res075"
bottom: "res4b18_branch2a_res075"
name: "res4b18_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2a_res075"
top: "res4b18_branch2b_res075"
name: "res4b18_branch2b_res075"
type: "Convolution"
param {
name: "res4b18_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2b_res075"
top: "res4b18_branch2b_res075"
name: "bn4b18_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2b_res075"
top: "res4b18_branch2b_res075"
name: "scale4b18_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b18_branch2b_res075"
bottom: "res4b18_branch2b_res075"
name: "res4b18_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2b_res075"
top: "res4b18_branch2c_res075"
name: "res4b18_branch2c_res075"
type: "Convolution"
param {
name: "res4b18_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2c_res075"
top: "res4b18_branch2c_res075"
name: "bn4b18_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b18_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b18_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b18_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b18_branch2c_res075"
top: "res4b18_branch2c_res075"
name: "scale4b18_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b18_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b18_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b17_res075"
bottom: "res4b18_branch2c_res075"
top: "res4b18_res075"
name: "res4b18_res075"
type: "Eltwise"
}
layer {
bottom: "res4b18_res075"
top: "res4b18_res075"
name: "res4b18_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b18_res075"
top: "res4b19_branch2a_res075"
name: "res4b19_branch2a_res075"
type: "Convolution"
param {
name: "res4b19_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2a_res075"
top: "res4b19_branch2a_res075"
name: "bn4b19_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2a_res075"
top: "res4b19_branch2a_res075"
name: "scale4b19_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b19_branch2a_res075"
bottom: "res4b19_branch2a_res075"
name: "res4b19_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2a_res075"
top: "res4b19_branch2b_res075"
name: "res4b19_branch2b_res075"
type: "Convolution"
param {
name: "res4b19_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2b_res075"
top: "res4b19_branch2b_res075"
name: "bn4b19_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2b_res075"
top: "res4b19_branch2b_res075"
name: "scale4b19_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b19_branch2b_res075"
bottom: "res4b19_branch2b_res075"
name: "res4b19_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2b_res075"
top: "res4b19_branch2c_res075"
name: "res4b19_branch2c_res075"
type: "Convolution"
param {
name: "res4b19_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2c_res075"
top: "res4b19_branch2c_res075"
name: "bn4b19_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b19_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b19_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b19_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b19_branch2c_res075"
top: "res4b19_branch2c_res075"
name: "scale4b19_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b19_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b19_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b18_res075"
bottom: "res4b19_branch2c_res075"
top: "res4b19_res075"
name: "res4b19_res075"
type: "Eltwise"
}
layer {
bottom: "res4b19_res075"
top: "res4b19_res075"
name: "res4b19_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b19_res075"
top: "res4b20_branch2a_res075"
name: "res4b20_branch2a_res075"
type: "Convolution"
param {
name: "res4b20_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2a_res075"
top: "res4b20_branch2a_res075"
name: "bn4b20_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2a_res075"
top: "res4b20_branch2a_res075"
name: "scale4b20_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b20_branch2a_res075"
bottom: "res4b20_branch2a_res075"
name: "res4b20_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2a_res075"
top: "res4b20_branch2b_res075"
name: "res4b20_branch2b_res075"
type: "Convolution"
param {
name: "res4b20_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2b_res075"
top: "res4b20_branch2b_res075"
name: "bn4b20_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2b_res075"
top: "res4b20_branch2b_res075"
name: "scale4b20_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b20_branch2b_res075"
bottom: "res4b20_branch2b_res075"
name: "res4b20_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2b_res075"
top: "res4b20_branch2c_res075"
name: "res4b20_branch2c_res075"
type: "Convolution"
param {
name: "res4b20_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2c_res075"
top: "res4b20_branch2c_res075"
name: "bn4b20_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b20_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b20_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b20_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b20_branch2c_res075"
top: "res4b20_branch2c_res075"
name: "scale4b20_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b20_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b20_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b19_res075"
bottom: "res4b20_branch2c_res075"
top: "res4b20_res075"
name: "res4b20_res075"
type: "Eltwise"
}
layer {
bottom: "res4b20_res075"
top: "res4b20_res075"
name: "res4b20_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b20_res075"
top: "res4b21_branch2a_res075"
name: "res4b21_branch2a_res075"
type: "Convolution"
param {
name: "res4b21_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2a_res075"
top: "res4b21_branch2a_res075"
name: "bn4b21_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2a_res075"
top: "res4b21_branch2a_res075"
name: "scale4b21_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b21_branch2a_res075"
bottom: "res4b21_branch2a_res075"
name: "res4b21_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2a_res075"
top: "res4b21_branch2b_res075"
name: "res4b21_branch2b_res075"
type: "Convolution"
param {
name: "res4b21_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2b_res075"
top: "res4b21_branch2b_res075"
name: "bn4b21_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2b_res075"
top: "res4b21_branch2b_res075"
name: "scale4b21_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b21_branch2b_res075"
bottom: "res4b21_branch2b_res075"
name: "res4b21_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2b_res075"
top: "res4b21_branch2c_res075"
name: "res4b21_branch2c_res075"
type: "Convolution"
param {
name: "res4b21_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2c_res075"
top: "res4b21_branch2c_res075"
name: "bn4b21_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b21_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b21_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b21_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b21_branch2c_res075"
top: "res4b21_branch2c_res075"
name: "scale4b21_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b21_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b21_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b20_res075"
bottom: "res4b21_branch2c_res075"
top: "res4b21_res075"
name: "res4b21_res075"
type: "Eltwise"
}
layer {
bottom: "res4b21_res075"
top: "res4b21_res075"
name: "res4b21_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b21_res075"
top: "res4b22_branch2a_res075"
name: "res4b22_branch2a_res075"
type: "Convolution"
param {
name: "res4b22_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2a_res075"
top: "res4b22_branch2a_res075"
name: "bn4b22_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2a_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2a_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2a_res075"
top: "res4b22_branch2a_res075"
name: "scale4b22_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2a_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res4b22_branch2a_res075"
bottom: "res4b22_branch2a_res075"
name: "res4b22_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2a_res075"
top: "res4b22_branch2b_res075"
name: "res4b22_branch2b_res075"
type: "Convolution"
param {
name: "res4b22_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
kernel_size: 3
pad: 2
dilation: 2
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2b_res075"
top: "res4b22_branch2b_res075"
name: "bn4b22_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2b_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2b_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2b_res075"
top: "res4b22_branch2b_res075"
name: "scale4b22_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2b_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res4b22_branch2b_res075"
bottom: "res4b22_branch2b_res075"
name: "res4b22_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2b_res075"
top: "res4b22_branch2c_res075"
name: "res4b22_branch2c_res075"
type: "Convolution"
param {
name: "res4b22_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2c_res075"
top: "res4b22_branch2c_res075"
name: "bn4b22_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn4b22_branch2c_0"
lr_mult: 0
}
param {
name: "bn4b22_branch2c_1"
lr_mult: 0
}
param {
name: "bn4b22_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res4b22_branch2c_res075"
top: "res4b22_branch2c_res075"
name: "scale4b22_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale4b22_branch2c_0"
lr_mult: 0
}
param {
name: "scale4b22_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res4b21_res075"
bottom: "res4b22_branch2c_res075"
top: "res4b22_res075"
name: "res4b22_res075"
type: "Eltwise"
}
layer {
bottom: "res4b22_res075"
top: "res4b22_res075"
name: "res4b22_relu_res075"
type: "ReLU"
}
layer {
bottom: "res4b22_res075"
top: "res5a_branch1_res075"
name: "res5a_branch1_res075"
type: "Convolution"
param {
name: "res5a_branch1_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch1_res075"
top: "res5a_branch1_res075"
name: "bn5a_branch1_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch1_0"
lr_mult: 0
}
param {
name: "bn5a_branch1_1"
lr_mult: 0
}
param {
name: "bn5a_branch1_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch1_res075"
top: "res5a_branch1_res075"
name: "scale5a_branch1_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch1_0"
lr_mult: 0
}
param {
name: "scale5a_branch1_1"
lr_mult: 0
}
}
layer {
bottom: "res4b22_res075"
top: "res5a_branch2a_res075"
name: "res5a_branch2a_res075"
type: "Convolution"
param {
name: "res5a_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2a_res075"
top: "res5a_branch2a_res075"
name: "bn5a_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2a_0"
lr_mult: 0
}
param {
name: "bn5a_branch2a_1"
lr_mult: 0
}
param {
name: "bn5a_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2a_res075"
top: "res5a_branch2a_res075"
name: "scale5a_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2a_0"
lr_mult: 0
}
param {
name: "scale5a_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5a_branch2a_res075"
bottom: "res5a_branch2a_res075"
name: "res5a_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5a_branch2a_res075"
top: "res5a_branch2b_res075"
name: "res5a_branch2b_res075"
type: "Convolution"
param {
name: "res5a_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2b_res075"
top: "res5a_branch2b_res075"
name: "bn5a_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2b_0"
lr_mult: 0
}
param {
name: "bn5a_branch2b_1"
lr_mult: 0
}
param {
name: "bn5a_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2b_res075"
top: "res5a_branch2b_res075"
name: "scale5a_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2b_0"
lr_mult: 0
}
param {
name: "scale5a_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5a_branch2b_res075"
bottom: "res5a_branch2b_res075"
name: "res5a_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5a_branch2b_res075"
top: "res5a_branch2c_res075"
name: "res5a_branch2c_res075"
type: "Convolution"
param {
name: "res5a_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5a_branch2c_res075"
top: "res5a_branch2c_res075"
name: "bn5a_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5a_branch2c_0"
lr_mult: 0
}
param {
name: "bn5a_branch2c_1"
lr_mult: 0
}
param {
name: "bn5a_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch2c_res075"
top: "res5a_branch2c_res075"
name: "scale5a_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5a_branch2c_0"
lr_mult: 0
}
param {
name: "scale5a_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5a_branch1_res075"
bottom: "res5a_branch2c_res075"
top: "res5a_res075"
name: "res5a_res075"
type: "Eltwise"
}
layer {
bottom: "res5a_res075"
top: "res5a_res075"
name: "res5a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5a_res075"
top: "res5b_branch2a_res075"
name: "res5b_branch2a_res075"
type: "Convolution"
param {
name: "res5b_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2a_res075"
top: "res5b_branch2a_res075"
name: "bn5b_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2a_0"
lr_mult: 0
}
param {
name: "bn5b_branch2a_1"
lr_mult: 0
}
param {
name: "bn5b_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2a_res075"
top: "res5b_branch2a_res075"
name: "scale5b_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2a_0"
lr_mult: 0
}
param {
name: "scale5b_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5b_branch2a_res075"
bottom: "res5b_branch2a_res075"
name: "res5b_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5b_branch2a_res075"
top: "res5b_branch2b_res075"
name: "res5b_branch2b_res075"
type: "Convolution"
param {
name: "res5b_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2b_res075"
top: "res5b_branch2b_res075"
name: "bn5b_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2b_0"
lr_mult: 0
}
param {
name: "bn5b_branch2b_1"
lr_mult: 0
}
param {
name: "bn5b_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2b_res075"
top: "res5b_branch2b_res075"
name: "scale5b_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2b_0"
lr_mult: 0
}
param {
name: "scale5b_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5b_branch2b_res075"
bottom: "res5b_branch2b_res075"
name: "res5b_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5b_branch2b_res075"
top: "res5b_branch2c_res075"
name: "res5b_branch2c_res075"
type: "Convolution"
param {
name: "res5b_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5b_branch2c_res075"
top: "res5b_branch2c_res075"
name: "bn5b_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5b_branch2c_0"
lr_mult: 0
}
param {
name: "bn5b_branch2c_1"
lr_mult: 0
}
param {
name: "bn5b_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5b_branch2c_res075"
top: "res5b_branch2c_res075"
name: "scale5b_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5b_branch2c_0"
lr_mult: 0
}
param {
name: "scale5b_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5a_res075"
bottom: "res5b_branch2c_res075"
top: "res5b_res075"
name: "res5b_res075"
type: "Eltwise"
}
layer {
bottom: "res5b_res075"
top: "res5b_res075"
name: "res5b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5b_res075"
top: "res5c_branch2a_res075"
name: "res5c_branch2a_res075"
type: "Convolution"
param {
name: "res5c_branch2a_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2a_res075"
top: "res5c_branch2a_res075"
name: "bn5c_branch2a_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2a_0"
lr_mult: 0
}
param {
name: "bn5c_branch2a_1"
lr_mult: 0
}
param {
name: "bn5c_branch2a_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2a_res075"
top: "res5c_branch2a_res075"
name: "scale5c_branch2a_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2a_0"
lr_mult: 0
}
param {
name: "scale5c_branch2a_1"
lr_mult: 0
}
}
layer {
top: "res5c_branch2a_res075"
bottom: "res5c_branch2a_res075"
name: "res5c_branch2a_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5c_branch2a_res075"
top: "res5c_branch2b_res075"
name: "res5c_branch2b_res075"
type: "Convolution"
param {
name: "res5c_branch2b_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
kernel_size: 3
pad: 4
dilation: 4
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2b_res075"
top: "res5c_branch2b_res075"
name: "bn5c_branch2b_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2b_0"
lr_mult: 0
}
param {
name: "bn5c_branch2b_1"
lr_mult: 0
}
param {
name: "bn5c_branch2b_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2b_res075"
top: "res5c_branch2b_res075"
name: "scale5c_branch2b_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2b_0"
lr_mult: 0
}
param {
name: "scale5c_branch2b_1"
lr_mult: 0
}
}
layer {
top: "res5c_branch2b_res075"
bottom: "res5c_branch2b_res075"
name: "res5c_branch2b_relu_res075"
type: "ReLU"
}
layer {
bottom: "res5c_branch2b_res075"
top: "res5c_branch2c_res075"
name: "res5c_branch2c_res075"
type: "Convolution"
param {
name: "res5c_branch2c_0"
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 2048
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res5c_branch2c_res075"
top: "res5c_branch2c_res075"
name: "bn5c_branch2c_res075"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
param {
name: "bn5c_branch2c_0"
lr_mult: 0
}
param {
name: "bn5c_branch2c_1"
lr_mult: 0
}
param {
name: "bn5c_branch2c_2"
lr_mult: 0
}
}
layer {
bottom: "res5c_branch2c_res075"
top: "res5c_branch2c_res075"
name: "scale5c_branch2c_res075"
type: "Scale"
scale_param {
bias_term: true
}
param {
name: "scale5c_branch2c_0"
lr_mult: 0
}
param {
name: "scale5c_branch2c_1"
lr_mult: 0
}
}
layer {
bottom: "res5b_res075"
bottom: "res5c_branch2c_res075"
top: "res5c_res075"
name: "res5c_res075"
type: "Eltwise"
}
layer {
bottom: "res5c_res075"
top: "res5c_res075"
name: "res5c_relu_res075"
type: "ReLU"
}
############################### classifiers ##########################
layer {
name: "fc1_c0"
type: "Convolution"
bottom: "res5c"
top: "fc1_c0"
param {
name: "fc1_c0_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c0_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
pad: 6
dilation: 6
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_c1"
type: "Convolution"
bottom: "res5c"
top: "fc1_c1"
param {
name: "fc1_c1_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c1_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 12
pad: 12
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_c2"
type: "Convolution"
bottom: "res5c"
top: "fc1_c2"
param {
name: "fc1_c2_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c2_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 18
pad: 18
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_c3"
type: "Convolution"
bottom: "res5c"
top: "fc1_c3"
param {
name: "fc1_c3_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c3_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 24
pad: 24
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
### SUM the all branches
layer {
bottom: "fc1_c0"
bottom: "fc1_c1"
bottom: "fc1_c2"
bottom: "fc1_c3"
top: "fc1_exp"
name: "fc1_exp"
type: "Eltwise"
eltwise_param {
operation: SUM
}
}
######################## classifier for res 0.5 #################
layer {
name: "fc1_res05_c0"
type: "Convolution"
bottom: "res5c_res05"
top: "fc1_res05_c0"
param {
name: "fc1_c0_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c0_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
pad: 6
dilation: 6
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_res05_c1"
type: "Convolution"
bottom: "res5c_res05"
top: "fc1_res05_c1"
param {
name: "fc1_c1_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c1_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 12
pad: 12
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_res05_c2"
type: "Convolution"
bottom: "res5c_res05"
top: "fc1_res05_c2"
param {
name: "fc1_c2_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c2_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 18
pad: 18
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_res05_c3"
type: "Convolution"
bottom: "res5c_res05"
top: "fc1_res05_c3"
param {
name: "fc1_c3_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c3_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 24
pad: 24
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
### SUM the all branches
layer {
bottom: "fc1_res05_c0"
bottom: "fc1_res05_c1"
bottom: "fc1_res05_c2"
bottom: "fc1_res05_c3"
top: "fc1_res05"
name: "fc1_res05"
type: "Eltwise"
eltwise_param {
operation: SUM
}
}
################### classifier for res 0.75 ###########
layer {
name: "fc1_res075_c0"
type: "Convolution"
bottom: "res5c_res075"
top: "fc1_res075_c0"
param {
name: "fc1_c0_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c0_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
pad: 6
dilation: 6
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_res075_c1"
type: "Convolution"
bottom: "res5c_res075"
top: "fc1_res075_c1"
param {
name: "fc1_c1_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c1_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 12
pad: 12
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_res075_c2"
type: "Convolution"
bottom: "res5c_res075"
top: "fc1_res075_c2"
param {
name: "fc1_c2_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c2_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 18
pad: 18
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "fc1_res075_c3"
type: "Convolution"
bottom: "res5c_res075"
top: "fc1_res075_c3"
param {
name: "fc1_c3_w"
lr_mult: 10
decay_mult: 1
}
param {
name: "fc1_c3_b"
lr_mult: 20
decay_mult: 0
}
convolution_param {
num_output: 5
kernel_size: 3
dilation: 24
pad: 24
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
### SUM the all branches
layer {
bottom: "fc1_res075_c0"
bottom: "fc1_res075_c1"
bottom: "fc1_res075_c2"
bottom: "fc1_res075_c3"
top: "fc1_res075"
name: "fc1_res075"
type: "Eltwise"
eltwise_param {
operation: SUM
}
}
############### upsampling ##################
layer {
bottom: "fc1_res05"
top: "fc1_res05_interp"
name: "fc1_res05_interp"
type: "Interp"
interp_param {
zoom_factor: 2
pad_beg: 0
pad_end: 0
}
}
layer {
bottom: "fc1_res075"
top: "fc1_res075_interp"
name: "fc1_res075_interp"
type: "Interp"
interp_param {
zoom_factor: 4
shrink_factor: 3
pad_beg: 0
pad_end: 0
}
}
############### merging multiscale results #####################
layer {
bottom: "fc1_exp"
bottom: "fc1_res075_interp"
bottom: "fc1_res05_interp"
top: "fc_fusion"
name: "fc_fusion"
type: "Eltwise"
eltwise_param {
operation: MAX
}
}
################## compute loss ####################
layer {
bottom: "label"
top: "label_shrink"
name: "label_shrink"
type: "Interp"
interp_param {
shrink_factor: 8
pad_beg: 0
pad_end: 0
}
}
layer {
name: "loss"
type: "SoftmaxWithLoss"
bottom: "fc_fusion"
bottom: "label_shrink"
include {
phase: TRAIN
}
loss_param {
ignore_label: 255
}
}
layer {
name: "accuracy"
type: "SegAccuracy"
bottom: "fc_fusion"
bottom: "label_shrink"
top: "accuracy"
seg_accuracy_param {
ignore_label: 255
}
}
############## add supervsion to fc1's directly ##########
## resolution 1
layer {
name: "loss_res1"
type: "SoftmaxWithLoss"
bottom: "fc1_exp"
bottom: "label_shrink"
loss_param {
ignore_label: 255
}
include: { phase: TRAIN }
}
layer {
name: "accuracy_res1"
type: "SegAccuracy"
bottom: "fc1_exp"
bottom: "label_shrink"
top: "accuracy_res1"
seg_accuracy_param {
ignore_label: 255
}
}
## resolution 3/4
# interp layer does not support 3/4 scale for ground truth
# instead we interpolate score map
layer {
name: "loss_res075"
type: "SoftmaxWithLoss"
bottom: "fc1_res075_interp"
bottom: "label_shrink"
loss_param {
ignore_label: 255
}
include: { phase: TRAIN }
}
layer {
name: "accuracy_res075"
type: "SegAccuracy"
bottom: "fc1_res075_interp"
bottom: "label_shrink"
top: "accuracy_res075"
seg_accuracy_param {
ignore_label: 255
}
}
## resolution 1/2
layer {
bottom: "label"
top: "label_shrink16"
name: "label_shrink16"
type: "Interp"
interp_param {
shrink_factor: 16
pad_beg: 0
pad_end: 0
}
}
layer {
name: "loss_res05"
type: "SoftmaxWithLoss"
bottom: "fc1_res05"
bottom: "label_shrink16"
loss_param {
ignore_label: 255
}
include: { phase: TRAIN }
}
layer {
name: "accuracy_res05"
type: "SegAccuracy"
bottom: "fc1_res05"
bottom: "label_shrink16"
top: "accuracy_res05"
seg_accuracy_param {
ignore_label: 255
}
}
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