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vincentzhang/AdaDelta_solver.prototxt

Last active August 24, 2017 20:35
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Training files for fusionSeg
Raw
AdaDelta_solver.prototxt
net: "appearance/appearance_stream_train.prototxt"
base_lr: 1.0
lr_policy: "fixed"
momentum: 0.9
weight_decay: 0.0001
type: "AdaDelta"
delta: 1e-6
max_iter: 60000
snapshot: 5000
snapshot_prefix: "snapshot/appearance_res101"
solver_mode: GPU
display: 20
average_loss: 100
iter_size: 2
Raw
SGD_solver.prototxt
net: "appearance/appearance_stream_train.prototxt"
base_lr: 0.1 # also tried 0.5, 0.01, 0.001, 1.0
lr_policy: "step"
gamma: 0.1
stepsize: 60000
momentum: 0.9
weight_decay: 0.0001
max_iter: 60000
snapshot: 5000
snapshot_prefix: "snapshot/appearance_res101"
solver_mode: GPU
display: 20
average_loss: 100
iter_size: 2
Raw
train_net.prototxt
name: "resnet"
layer {
name: "data"
type: "ImageSegData"
top: "data"
top: "label"
top: "data_dim"
include {
phase: TRAIN
}
transform_param {
mirror: false
#crop_size: 321
#crop_height: 321
#crop_width: 257
mean_value: 130.392
mean_value: 88.517
mean_value: 102.683
}
image_data_param {
root_folder: ${IMAGE_DIR}
source: ${IMAGE_LIST}
batch_size: 1
label_type: PIXEL
}
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
name: "conv1_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 64
bias_term: false
pad: 3
kernel_size: 7
stride: 2
}
}
layer {
name: "bn_conv1"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
param {
name: "bn_conv1_0"
lr_mult: 0.0
}
param {
name: "bn_conv1_1"
lr_mult: 0.0
}
param {
name: "bn_conv1_2"
lr_mult: 0.0
}
}
layer {
name: "scale_conv1"
type: "Scale"
bottom: "conv1"
top: "conv1"
scale_param {
bias_term: true
}
}
layer {
name: "conv1_relu"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
pad: 1
}
}
layer {
name: "res2a_branch1"
type: "Convolution"
bottom: "pool1"
top: "res2a_branch1"
param {
name: "res2a_branch1_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn2a_branch1"
type: "BatchNorm"
bottom: "res2a_branch1"
top: "res2a_branch1"
param {
name: "bn2a_branch1_0"
lr_mult: 0.0
}
param {
name: "bn2a_branch1_1"
lr_mult: 0.0
}
param {
name: "bn2a_branch1_2"
lr_mult: 0.0
}
}
layer {
name: "scale2a_branch1"
type: "Scale"
bottom: "res2a_branch1"
top: "res2a_branch1"
scale_param {
bias_term: true
}
}
layer {
name: "res2a_branch2a"
type: "Convolution"
bottom: "pool1"
top: "res2a_branch2a"
param {
name: "res2a_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 64
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn2a_branch2a"
type: "BatchNorm"
bottom: "res2a_branch2a"
top: "res2a_branch2a"
param {
name: "bn2a_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn2a_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn2a_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale2a_branch2a"
type: "Scale"
bottom: "res2a_branch2a"
top: "res2a_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res2a_branch2a_relu"
type: "ReLU"
bottom: "res2a_branch2a"
top: "res2a_branch2a"
}
layer {
name: "res2a_branch2b"
type: "Convolution"
bottom: "res2a_branch2a"
top: "res2a_branch2b"
param {
name: "res2a_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "bn2a_branch2b"
type: "BatchNorm"
bottom: "res2a_branch2b"
top: "res2a_branch2b"
param {
name: "bn2a_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn2a_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn2a_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale2a_branch2b"
type: "Scale"
bottom: "res2a_branch2b"
top: "res2a_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res2a_branch2b_relu"
type: "ReLU"
bottom: "res2a_branch2b"
top: "res2a_branch2b"
}
layer {
name: "res2a_branch2c"
type: "Convolution"
bottom: "res2a_branch2b"
top: "res2a_branch2c"
param {
name: "res2a_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn2a_branch2c"
type: "BatchNorm"
bottom: "res2a_branch2c"
top: "res2a_branch2c"
param {
name: "bn2a_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn2a_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn2a_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale2a_branch2c"
type: "Scale"
bottom: "res2a_branch2c"
top: "res2a_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res2a"
type: "Eltwise"
bottom: "res2a_branch1"
bottom: "res2a_branch2c"
top: "res2a"
}
layer {
name: "res2a_relu"
type: "ReLU"
bottom: "res2a"
top: "res2a"
}
layer {
name: "res2b_branch2a"
type: "Convolution"
bottom: "res2a"
top: "res2b_branch2a"
param {
name: "res2b_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 64
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn2b_branch2a"
type: "BatchNorm"
bottom: "res2b_branch2a"
top: "res2b_branch2a"
param {
name: "bn2b_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn2b_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn2b_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale2b_branch2a"
type: "Scale"
bottom: "res2b_branch2a"
top: "res2b_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res2b_branch2a_relu"
type: "ReLU"
bottom: "res2b_branch2a"
top: "res2b_branch2a"
}
layer {
name: "res2b_branch2b"
type: "Convolution"
bottom: "res2b_branch2a"
top: "res2b_branch2b"
param {
name: "res2b_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "bn2b_branch2b"
type: "BatchNorm"
bottom: "res2b_branch2b"
top: "res2b_branch2b"
param {
name: "bn2b_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn2b_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn2b_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale2b_branch2b"
type: "Scale"
bottom: "res2b_branch2b"
top: "res2b_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res2b_branch2b_relu"
type: "ReLU"
bottom: "res2b_branch2b"
top: "res2b_branch2b"
}
layer {
name: "res2b_branch2c"
type: "Convolution"
bottom: "res2b_branch2b"
top: "res2b_branch2c"
param {
name: "res2b_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn2b_branch2c"
type: "BatchNorm"
bottom: "res2b_branch2c"
top: "res2b_branch2c"
param {
name: "bn2b_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn2b_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn2b_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale2b_branch2c"
type: "Scale"
bottom: "res2b_branch2c"
top: "res2b_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res2b"
type: "Eltwise"
bottom: "res2a"
bottom: "res2b_branch2c"
top: "res2b"
}
layer {
name: "res2b_relu"
type: "ReLU"
bottom: "res2b"
top: "res2b"
}
layer {
name: "res2c_branch2a"
type: "Convolution"
bottom: "res2b"
top: "res2c_branch2a"
param {
name: "res2c_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 64
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn2c_branch2a"
type: "BatchNorm"
bottom: "res2c_branch2a"
top: "res2c_branch2a"
param {
name: "bn2c_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn2c_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn2c_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale2c_branch2a"
type: "Scale"
bottom: "res2c_branch2a"
top: "res2c_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res2c_branch2a_relu"
type: "ReLU"
bottom: "res2c_branch2a"
top: "res2c_branch2a"
}
layer {
name: "res2c_branch2b"
type: "Convolution"
bottom: "res2c_branch2a"
top: "res2c_branch2b"
param {
name: "res2c_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "bn2c_branch2b"
type: "BatchNorm"
bottom: "res2c_branch2b"
top: "res2c_branch2b"
param {
name: "bn2c_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn2c_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn2c_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale2c_branch2b"
type: "Scale"
bottom: "res2c_branch2b"
top: "res2c_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res2c_branch2b_relu"
type: "ReLU"
bottom: "res2c_branch2b"
top: "res2c_branch2b"
}
layer {
name: "res2c_branch2c"
type: "Convolution"
bottom: "res2c_branch2b"
top: "res2c_branch2c"
param {
name: "res2c_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn2c_branch2c"
type: "BatchNorm"
bottom: "res2c_branch2c"
top: "res2c_branch2c"
param {
name: "bn2c_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn2c_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn2c_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale2c_branch2c"
type: "Scale"
bottom: "res2c_branch2c"
top: "res2c_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res2c"
type: "Eltwise"
bottom: "res2b"
bottom: "res2c_branch2c"
top: "res2c"
}
layer {
name: "res2c_relu"
type: "ReLU"
bottom: "res2c"
top: "res2c"
}
layer {
name: "res3a_branch1"
type: "Convolution"
bottom: "res2c"
top: "res3a_branch1"
param {
name: "res3a_branch1_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 2
}
}
layer {
name: "bn3a_branch1"
type: "BatchNorm"
bottom: "res3a_branch1"
top: "res3a_branch1"
param {
name: "bn3a_branch1_0"
lr_mult: 0.0
}
param {
name: "bn3a_branch1_1"
lr_mult: 0.0
}
param {
name: "bn3a_branch1_2"
lr_mult: 0.0
}
}
layer {
name: "scale3a_branch1"
type: "Scale"
bottom: "res3a_branch1"
top: "res3a_branch1"
scale_param {
bias_term: true
}
}
layer {
name: "res3a_branch2a"
type: "Convolution"
bottom: "res2c"
top: "res3a_branch2a"
param {
name: "res3a_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 0
kernel_size: 1
stride: 2
}
}
layer {
name: "bn3a_branch2a"
type: "BatchNorm"
bottom: "res3a_branch2a"
top: "res3a_branch2a"
param {
name: "bn3a_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn3a_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn3a_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale3a_branch2a"
type: "Scale"
bottom: "res3a_branch2a"
top: "res3a_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res3a_branch2a_relu"
type: "ReLU"
bottom: "res3a_branch2a"
top: "res3a_branch2a"
}
layer {
name: "res3a_branch2b"
type: "Convolution"
bottom: "res3a_branch2a"
top: "res3a_branch2b"
param {
name: "res3a_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "bn3a_branch2b"
type: "BatchNorm"
bottom: "res3a_branch2b"
top: "res3a_branch2b"
param {
name: "bn3a_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn3a_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn3a_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale3a_branch2b"
type: "Scale"
bottom: "res3a_branch2b"
top: "res3a_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res3a_branch2b_relu"
type: "ReLU"
bottom: "res3a_branch2b"
top: "res3a_branch2b"
}
layer {
name: "res3a_branch2c"
type: "Convolution"
bottom: "res3a_branch2b"
top: "res3a_branch2c"
param {
name: "res3a_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn3a_branch2c"
type: "BatchNorm"
bottom: "res3a_branch2c"
top: "res3a_branch2c"
param {
name: "bn3a_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn3a_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn3a_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale3a_branch2c"
type: "Scale"
bottom: "res3a_branch2c"
top: "res3a_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res3a"
type: "Eltwise"
bottom: "res3a_branch1"
bottom: "res3a_branch2c"
top: "res3a"
}
layer {
name: "res3a_relu"
type: "ReLU"
bottom: "res3a"
top: "res3a"
}
layer {
name: "res3b1_branch2a"
type: "Convolution"
bottom: "res3a"
top: "res3b1_branch2a"
param {
name: "res3b1_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn3b1_branch2a"
type: "BatchNorm"
bottom: "res3b1_branch2a"
top: "res3b1_branch2a"
param {
name: "bn3b1_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn3b1_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn3b1_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b1_branch2a"
type: "Scale"
bottom: "res3b1_branch2a"
top: "res3b1_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res3b1_branch2a_relu"
type: "ReLU"
bottom: "res3b1_branch2a"
top: "res3b1_branch2a"
}
layer {
name: "res3b1_branch2b"
type: "Convolution"
bottom: "res3b1_branch2a"
top: "res3b1_branch2b"
param {
name: "res3b1_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "bn3b1_branch2b"
type: "BatchNorm"
bottom: "res3b1_branch2b"
top: "res3b1_branch2b"
param {
name: "bn3b1_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn3b1_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn3b1_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b1_branch2b"
type: "Scale"
bottom: "res3b1_branch2b"
top: "res3b1_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res3b1_branch2b_relu"
type: "ReLU"
bottom: "res3b1_branch2b"
top: "res3b1_branch2b"
}
layer {
name: "res3b1_branch2c"
type: "Convolution"
bottom: "res3b1_branch2b"
top: "res3b1_branch2c"
param {
name: "res3b1_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn3b1_branch2c"
type: "BatchNorm"
bottom: "res3b1_branch2c"
top: "res3b1_branch2c"
param {
name: "bn3b1_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn3b1_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn3b1_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b1_branch2c"
type: "Scale"
bottom: "res3b1_branch2c"
top: "res3b1_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res3b1"
type: "Eltwise"
bottom: "res3a"
bottom: "res3b1_branch2c"
top: "res3b1"
}
layer {
name: "res3b1_relu"
type: "ReLU"
bottom: "res3b1"
top: "res3b1"
}
layer {
name: "res3b2_branch2a"
type: "Convolution"
bottom: "res3b1"
top: "res3b2_branch2a"
param {
name: "res3b2_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn3b2_branch2a"
type: "BatchNorm"
bottom: "res3b2_branch2a"
top: "res3b2_branch2a"
param {
name: "bn3b2_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn3b2_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn3b2_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b2_branch2a"
type: "Scale"
bottom: "res3b2_branch2a"
top: "res3b2_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res3b2_branch2a_relu"
type: "ReLU"
bottom: "res3b2_branch2a"
top: "res3b2_branch2a"
}
layer {
name: "res3b2_branch2b"
type: "Convolution"
bottom: "res3b2_branch2a"
top: "res3b2_branch2b"
param {
name: "res3b2_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "bn3b2_branch2b"
type: "BatchNorm"
bottom: "res3b2_branch2b"
top: "res3b2_branch2b"
param {
name: "bn3b2_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn3b2_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn3b2_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b2_branch2b"
type: "Scale"
bottom: "res3b2_branch2b"
top: "res3b2_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res3b2_branch2b_relu"
type: "ReLU"
bottom: "res3b2_branch2b"
top: "res3b2_branch2b"
}
layer {
name: "res3b2_branch2c"
type: "Convolution"
bottom: "res3b2_branch2b"
top: "res3b2_branch2c"
param {
name: "res3b2_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn3b2_branch2c"
type: "BatchNorm"
bottom: "res3b2_branch2c"
top: "res3b2_branch2c"
param {
name: "bn3b2_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn3b2_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn3b2_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b2_branch2c"
type: "Scale"
bottom: "res3b2_branch2c"
top: "res3b2_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res3b2"
type: "Eltwise"
bottom: "res3b1"
bottom: "res3b2_branch2c"
top: "res3b2"
}
layer {
name: "res3b2_relu"
type: "ReLU"
bottom: "res3b2"
top: "res3b2"
}
layer {
name: "res3b3_branch2a"
type: "Convolution"
bottom: "res3b2"
top: "res3b3_branch2a"
param {
name: "res3b3_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn3b3_branch2a"
type: "BatchNorm"
bottom: "res3b3_branch2a"
top: "res3b3_branch2a"
param {
name: "bn3b3_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn3b3_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn3b3_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b3_branch2a"
type: "Scale"
bottom: "res3b3_branch2a"
top: "res3b3_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res3b3_branch2a_relu"
type: "ReLU"
bottom: "res3b3_branch2a"
top: "res3b3_branch2a"
}
layer {
name: "res3b3_branch2b"
type: "Convolution"
bottom: "res3b3_branch2a"
top: "res3b3_branch2b"
param {
name: "res3b3_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "bn3b3_branch2b"
type: "BatchNorm"
bottom: "res3b3_branch2b"
top: "res3b3_branch2b"
param {
name: "bn3b3_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn3b3_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn3b3_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b3_branch2b"
type: "Scale"
bottom: "res3b3_branch2b"
top: "res3b3_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res3b3_branch2b_relu"
type: "ReLU"
bottom: "res3b3_branch2b"
top: "res3b3_branch2b"
}
layer {
name: "res3b3_branch2c"
type: "Convolution"
bottom: "res3b3_branch2b"
top: "res3b3_branch2c"
param {
name: "res3b3_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn3b3_branch2c"
type: "BatchNorm"
bottom: "res3b3_branch2c"
top: "res3b3_branch2c"
param {
name: "bn3b3_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn3b3_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn3b3_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale3b3_branch2c"
type: "Scale"
bottom: "res3b3_branch2c"
top: "res3b3_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res3b3"
type: "Eltwise"
bottom: "res3b2"
bottom: "res3b3_branch2c"
top: "res3b3"
}
layer {
name: "res3b3_relu"
type: "ReLU"
bottom: "res3b3"
top: "res3b3"
}
layer {
name: "res4a_branch1"
type: "Convolution"
bottom: "res3b3"
top: "res4a_branch1"
param {
name: "res4a_branch1_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4a_branch1"
type: "BatchNorm"
bottom: "res4a_branch1"
top: "res4a_branch1"
param {
name: "bn4a_branch1_0"
lr_mult: 0.0
}
param {
name: "bn4a_branch1_1"
lr_mult: 0.0
}
param {
name: "bn4a_branch1_2"
lr_mult: 0.0
}
}
layer {
name: "scale4a_branch1"
type: "Scale"
bottom: "res4a_branch1"
top: "res4a_branch1"
scale_param {
bias_term: true
}
}
layer {
name: "res4a_branch2a"
type: "Convolution"
bottom: "res3b3"
top: "res4a_branch2a"
param {
name: "res4a_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4a_branch2a"
type: "BatchNorm"
bottom: "res4a_branch2a"
top: "res4a_branch2a"
param {
name: "bn4a_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4a_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4a_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4a_branch2a"
type: "Scale"
bottom: "res4a_branch2a"
top: "res4a_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4a_branch2a_relu"
type: "ReLU"
bottom: "res4a_branch2a"
top: "res4a_branch2a"
}
layer {
name: "res4a_branch2b"
type: "Convolution"
bottom: "res4a_branch2a"
top: "res4a_branch2b"
param {
name: "res4a_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4a_branch2b"
type: "BatchNorm"
bottom: "res4a_branch2b"
top: "res4a_branch2b"
param {
name: "bn4a_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4a_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4a_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4a_branch2b"
type: "Scale"
bottom: "res4a_branch2b"
top: "res4a_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4a_branch2b_relu"
type: "ReLU"
bottom: "res4a_branch2b"
top: "res4a_branch2b"
}
layer {
name: "res4a_branch2c"
type: "Convolution"
bottom: "res4a_branch2b"
top: "res4a_branch2c"
param {
name: "res4a_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4a_branch2c"
type: "BatchNorm"
bottom: "res4a_branch2c"
top: "res4a_branch2c"
param {
name: "bn4a_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4a_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4a_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4a_branch2c"
type: "Scale"
bottom: "res4a_branch2c"
top: "res4a_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4a"
type: "Eltwise"
bottom: "res4a_branch1"
bottom: "res4a_branch2c"
top: "res4a"
}
layer {
name: "res4a_relu"
type: "ReLU"
bottom: "res4a"
top: "res4a"
}
layer {
name: "res4b1_branch2a"
type: "Convolution"
bottom: "res4a"
top: "res4b1_branch2a"
param {
name: "res4b1_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b1_branch2a"
type: "BatchNorm"
bottom: "res4b1_branch2a"
top: "res4b1_branch2a"
param {
name: "bn4b1_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b1_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b1_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b1_branch2a"
type: "Scale"
bottom: "res4b1_branch2a"
top: "res4b1_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b1_branch2a_relu"
type: "ReLU"
bottom: "res4b1_branch2a"
top: "res4b1_branch2a"
}
layer {
name: "res4b1_branch2b"
type: "Convolution"
bottom: "res4b1_branch2a"
top: "res4b1_branch2b"
param {
name: "res4b1_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b1_branch2b"
type: "BatchNorm"
bottom: "res4b1_branch2b"
top: "res4b1_branch2b"
param {
name: "bn4b1_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b1_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b1_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b1_branch2b"
type: "Scale"
bottom: "res4b1_branch2b"
top: "res4b1_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b1_branch2b_relu"
type: "ReLU"
bottom: "res4b1_branch2b"
top: "res4b1_branch2b"
}
layer {
name: "res4b1_branch2c"
type: "Convolution"
bottom: "res4b1_branch2b"
top: "res4b1_branch2c"
param {
name: "res4b1_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b1_branch2c"
type: "BatchNorm"
bottom: "res4b1_branch2c"
top: "res4b1_branch2c"
param {
name: "bn4b1_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b1_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b1_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b1_branch2c"
type: "Scale"
bottom: "res4b1_branch2c"
top: "res4b1_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b1"
type: "Eltwise"
bottom: "res4a"
bottom: "res4b1_branch2c"
top: "res4b1"
}
layer {
name: "res4b1_relu"
type: "ReLU"
bottom: "res4b1"
top: "res4b1"
}
layer {
name: "res4b2_branch2a"
type: "Convolution"
bottom: "res4b1"
top: "res4b2_branch2a"
param {
name: "res4b2_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b2_branch2a"
type: "BatchNorm"
bottom: "res4b2_branch2a"
top: "res4b2_branch2a"
param {
name: "bn4b2_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b2_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b2_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b2_branch2a"
type: "Scale"
bottom: "res4b2_branch2a"
top: "res4b2_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b2_branch2a_relu"
type: "ReLU"
bottom: "res4b2_branch2a"
top: "res4b2_branch2a"
}
layer {
name: "res4b2_branch2b"
type: "Convolution"
bottom: "res4b2_branch2a"
top: "res4b2_branch2b"
param {
name: "res4b2_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b2_branch2b"
type: "BatchNorm"
bottom: "res4b2_branch2b"
top: "res4b2_branch2b"
param {
name: "bn4b2_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b2_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b2_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b2_branch2b"
type: "Scale"
bottom: "res4b2_branch2b"
top: "res4b2_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b2_branch2b_relu"
type: "ReLU"
bottom: "res4b2_branch2b"
top: "res4b2_branch2b"
}
layer {
name: "res4b2_branch2c"
type: "Convolution"
bottom: "res4b2_branch2b"
top: "res4b2_branch2c"
param {
name: "res4b2_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b2_branch2c"
type: "BatchNorm"
bottom: "res4b2_branch2c"
top: "res4b2_branch2c"
param {
name: "bn4b2_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b2_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b2_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b2_branch2c"
type: "Scale"
bottom: "res4b2_branch2c"
top: "res4b2_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b2"
type: "Eltwise"
bottom: "res4b1"
bottom: "res4b2_branch2c"
top: "res4b2"
}
layer {
name: "res4b2_relu"
type: "ReLU"
bottom: "res4b2"
top: "res4b2"
}
layer {
name: "res4b3_branch2a"
type: "Convolution"
bottom: "res4b2"
top: "res4b3_branch2a"
param {
name: "res4b3_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b3_branch2a"
type: "BatchNorm"
bottom: "res4b3_branch2a"
top: "res4b3_branch2a"
param {
name: "bn4b3_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b3_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b3_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b3_branch2a"
type: "Scale"
bottom: "res4b3_branch2a"
top: "res4b3_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b3_branch2a_relu"
type: "ReLU"
bottom: "res4b3_branch2a"
top: "res4b3_branch2a"
}
layer {
name: "res4b3_branch2b"
type: "Convolution"
bottom: "res4b3_branch2a"
top: "res4b3_branch2b"
param {
name: "res4b3_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b3_branch2b"
type: "BatchNorm"
bottom: "res4b3_branch2b"
top: "res4b3_branch2b"
param {
name: "bn4b3_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b3_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b3_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b3_branch2b"
type: "Scale"
bottom: "res4b3_branch2b"
top: "res4b3_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b3_branch2b_relu"
type: "ReLU"
bottom: "res4b3_branch2b"
top: "res4b3_branch2b"
}
layer {
name: "res4b3_branch2c"
type: "Convolution"
bottom: "res4b3_branch2b"
top: "res4b3_branch2c"
param {
name: "res4b3_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b3_branch2c"
type: "BatchNorm"
bottom: "res4b3_branch2c"
top: "res4b3_branch2c"
param {
name: "bn4b3_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b3_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b3_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b3_branch2c"
type: "Scale"
bottom: "res4b3_branch2c"
top: "res4b3_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b3"
type: "Eltwise"
bottom: "res4b2"
bottom: "res4b3_branch2c"
top: "res4b3"
}
layer {
name: "res4b3_relu"
type: "ReLU"
bottom: "res4b3"
top: "res4b3"
}
layer {
name: "res4b4_branch2a"
type: "Convolution"
bottom: "res4b3"
top: "res4b4_branch2a"
param {
name: "res4b4_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b4_branch2a"
type: "BatchNorm"
bottom: "res4b4_branch2a"
top: "res4b4_branch2a"
param {
name: "bn4b4_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b4_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b4_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b4_branch2a"
type: "Scale"
bottom: "res4b4_branch2a"
top: "res4b4_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b4_branch2a_relu"
type: "ReLU"
bottom: "res4b4_branch2a"
top: "res4b4_branch2a"
}
layer {
name: "res4b4_branch2b"
type: "Convolution"
bottom: "res4b4_branch2a"
top: "res4b4_branch2b"
param {
name: "res4b4_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b4_branch2b"
type: "BatchNorm"
bottom: "res4b4_branch2b"
top: "res4b4_branch2b"
param {
name: "bn4b4_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b4_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b4_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b4_branch2b"
type: "Scale"
bottom: "res4b4_branch2b"
top: "res4b4_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b4_branch2b_relu"
type: "ReLU"
bottom: "res4b4_branch2b"
top: "res4b4_branch2b"
}
layer {
name: "res4b4_branch2c"
type: "Convolution"
bottom: "res4b4_branch2b"
top: "res4b4_branch2c"
param {
name: "res4b4_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b4_branch2c"
type: "BatchNorm"
bottom: "res4b4_branch2c"
top: "res4b4_branch2c"
param {
name: "bn4b4_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b4_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b4_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b4_branch2c"
type: "Scale"
bottom: "res4b4_branch2c"
top: "res4b4_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b4"
type: "Eltwise"
bottom: "res4b3"
bottom: "res4b4_branch2c"
top: "res4b4"
}
layer {
name: "res4b4_relu"
type: "ReLU"
bottom: "res4b4"
top: "res4b4"
}
layer {
name: "res4b5_branch2a"
type: "Convolution"
bottom: "res4b4"
top: "res4b5_branch2a"
param {
name: "res4b5_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b5_branch2a"
type: "BatchNorm"
bottom: "res4b5_branch2a"
top: "res4b5_branch2a"
param {
name: "bn4b5_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b5_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b5_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b5_branch2a"
type: "Scale"
bottom: "res4b5_branch2a"
top: "res4b5_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b5_branch2a_relu"
type: "ReLU"
bottom: "res4b5_branch2a"
top: "res4b5_branch2a"
}
layer {
name: "res4b5_branch2b"
type: "Convolution"
bottom: "res4b5_branch2a"
top: "res4b5_branch2b"
param {
name: "res4b5_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b5_branch2b"
type: "BatchNorm"
bottom: "res4b5_branch2b"
top: "res4b5_branch2b"
param {
name: "bn4b5_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b5_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b5_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b5_branch2b"
type: "Scale"
bottom: "res4b5_branch2b"
top: "res4b5_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b5_branch2b_relu"
type: "ReLU"
bottom: "res4b5_branch2b"
top: "res4b5_branch2b"
}
layer {
name: "res4b5_branch2c"
type: "Convolution"
bottom: "res4b5_branch2b"
top: "res4b5_branch2c"
param {
name: "res4b5_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b5_branch2c"
type: "BatchNorm"
bottom: "res4b5_branch2c"
top: "res4b5_branch2c"
param {
name: "bn4b5_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b5_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b5_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b5_branch2c"
type: "Scale"
bottom: "res4b5_branch2c"
top: "res4b5_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b5"
type: "Eltwise"
bottom: "res4b4"
bottom: "res4b5_branch2c"
top: "res4b5"
}
layer {
name: "res4b5_relu"
type: "ReLU"
bottom: "res4b5"
top: "res4b5"
}
layer {
name: "res4b6_branch2a"
type: "Convolution"
bottom: "res4b5"
top: "res4b6_branch2a"
param {
name: "res4b6_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b6_branch2a"
type: "BatchNorm"
bottom: "res4b6_branch2a"
top: "res4b6_branch2a"
param {
name: "bn4b6_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b6_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b6_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b6_branch2a"
type: "Scale"
bottom: "res4b6_branch2a"
top: "res4b6_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b6_branch2a_relu"
type: "ReLU"
bottom: "res4b6_branch2a"
top: "res4b6_branch2a"
}
layer {
name: "res4b6_branch2b"
type: "Convolution"
bottom: "res4b6_branch2a"
top: "res4b6_branch2b"
param {
name: "res4b6_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b6_branch2b"
type: "BatchNorm"
bottom: "res4b6_branch2b"
top: "res4b6_branch2b"
param {
name: "bn4b6_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b6_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b6_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b6_branch2b"
type: "Scale"
bottom: "res4b6_branch2b"
top: "res4b6_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b6_branch2b_relu"
type: "ReLU"
bottom: "res4b6_branch2b"
top: "res4b6_branch2b"
}
layer {
name: "res4b6_branch2c"
type: "Convolution"
bottom: "res4b6_branch2b"
top: "res4b6_branch2c"
param {
name: "res4b6_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b6_branch2c"
type: "BatchNorm"
bottom: "res4b6_branch2c"
top: "res4b6_branch2c"
param {
name: "bn4b6_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b6_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b6_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b6_branch2c"
type: "Scale"
bottom: "res4b6_branch2c"
top: "res4b6_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b6"
type: "Eltwise"
bottom: "res4b5"
bottom: "res4b6_branch2c"
top: "res4b6"
}
layer {
name: "res4b6_relu"
type: "ReLU"
bottom: "res4b6"
top: "res4b6"
}
layer {
name: "res4b7_branch2a"
type: "Convolution"
bottom: "res4b6"
top: "res4b7_branch2a"
param {
name: "res4b7_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b7_branch2a"
type: "BatchNorm"
bottom: "res4b7_branch2a"
top: "res4b7_branch2a"
param {
name: "bn4b7_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b7_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b7_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b7_branch2a"
type: "Scale"
bottom: "res4b7_branch2a"
top: "res4b7_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b7_branch2a_relu"
type: "ReLU"
bottom: "res4b7_branch2a"
top: "res4b7_branch2a"
}
layer {
name: "res4b7_branch2b"
type: "Convolution"
bottom: "res4b7_branch2a"
top: "res4b7_branch2b"
param {
name: "res4b7_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b7_branch2b"
type: "BatchNorm"
bottom: "res4b7_branch2b"
top: "res4b7_branch2b"
param {
name: "bn4b7_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b7_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b7_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b7_branch2b"
type: "Scale"
bottom: "res4b7_branch2b"
top: "res4b7_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b7_branch2b_relu"
type: "ReLU"
bottom: "res4b7_branch2b"
top: "res4b7_branch2b"
}
layer {
name: "res4b7_branch2c"
type: "Convolution"
bottom: "res4b7_branch2b"
top: "res4b7_branch2c"
param {
name: "res4b7_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b7_branch2c"
type: "BatchNorm"
bottom: "res4b7_branch2c"
top: "res4b7_branch2c"
param {
name: "bn4b7_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b7_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b7_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b7_branch2c"
type: "Scale"
bottom: "res4b7_branch2c"
top: "res4b7_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b7"
type: "Eltwise"
bottom: "res4b6"
bottom: "res4b7_branch2c"
top: "res4b7"
}
layer {
name: "res4b7_relu"
type: "ReLU"
bottom: "res4b7"
top: "res4b7"
}
layer {
name: "res4b8_branch2a"
type: "Convolution"
bottom: "res4b7"
top: "res4b8_branch2a"
param {
name: "res4b8_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b8_branch2a"
type: "BatchNorm"
bottom: "res4b8_branch2a"
top: "res4b8_branch2a"
param {
name: "bn4b8_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b8_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b8_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b8_branch2a"
type: "Scale"
bottom: "res4b8_branch2a"
top: "res4b8_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b8_branch2a_relu"
type: "ReLU"
bottom: "res4b8_branch2a"
top: "res4b8_branch2a"
}
layer {
name: "res4b8_branch2b"
type: "Convolution"
bottom: "res4b8_branch2a"
top: "res4b8_branch2b"
param {
name: "res4b8_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b8_branch2b"
type: "BatchNorm"
bottom: "res4b8_branch2b"
top: "res4b8_branch2b"
param {
name: "bn4b8_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b8_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b8_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b8_branch2b"
type: "Scale"
bottom: "res4b8_branch2b"
top: "res4b8_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b8_branch2b_relu"
type: "ReLU"
bottom: "res4b8_branch2b"
top: "res4b8_branch2b"
}
layer {
name: "res4b8_branch2c"
type: "Convolution"
bottom: "res4b8_branch2b"
top: "res4b8_branch2c"
param {
name: "res4b8_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b8_branch2c"
type: "BatchNorm"
bottom: "res4b8_branch2c"
top: "res4b8_branch2c"
param {
name: "bn4b8_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b8_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b8_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b8_branch2c"
type: "Scale"
bottom: "res4b8_branch2c"
top: "res4b8_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b8"
type: "Eltwise"
bottom: "res4b7"
bottom: "res4b8_branch2c"
top: "res4b8"
}
layer {
name: "res4b8_relu"
type: "ReLU"
bottom: "res4b8"
top: "res4b8"
}
layer {
name: "res4b9_branch2a"
type: "Convolution"
bottom: "res4b8"
top: "res4b9_branch2a"
param {
name: "res4b9_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b9_branch2a"
type: "BatchNorm"
bottom: "res4b9_branch2a"
top: "res4b9_branch2a"
param {
name: "bn4b9_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b9_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b9_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b9_branch2a"
type: "Scale"
bottom: "res4b9_branch2a"
top: "res4b9_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b9_branch2a_relu"
type: "ReLU"
bottom: "res4b9_branch2a"
top: "res4b9_branch2a"
}
layer {
name: "res4b9_branch2b"
type: "Convolution"
bottom: "res4b9_branch2a"
top: "res4b9_branch2b"
param {
name: "res4b9_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b9_branch2b"
type: "BatchNorm"
bottom: "res4b9_branch2b"
top: "res4b9_branch2b"
param {
name: "bn4b9_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b9_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b9_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b9_branch2b"
type: "Scale"
bottom: "res4b9_branch2b"
top: "res4b9_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b9_branch2b_relu"
type: "ReLU"
bottom: "res4b9_branch2b"
top: "res4b9_branch2b"
}
layer {
name: "res4b9_branch2c"
type: "Convolution"
bottom: "res4b9_branch2b"
top: "res4b9_branch2c"
param {
name: "res4b9_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b9_branch2c"
type: "BatchNorm"
bottom: "res4b9_branch2c"
top: "res4b9_branch2c"
param {
name: "bn4b9_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b9_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b9_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b9_branch2c"
type: "Scale"
bottom: "res4b9_branch2c"
top: "res4b9_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b9"
type: "Eltwise"
bottom: "res4b8"
bottom: "res4b9_branch2c"
top: "res4b9"
}
layer {
name: "res4b9_relu"
type: "ReLU"
bottom: "res4b9"
top: "res4b9"
}
layer {
name: "res4b10_branch2a"
type: "Convolution"
bottom: "res4b9"
top: "res4b10_branch2a"
param {
name: "res4b10_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b10_branch2a"
type: "BatchNorm"
bottom: "res4b10_branch2a"
top: "res4b10_branch2a"
param {
name: "bn4b10_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b10_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b10_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b10_branch2a"
type: "Scale"
bottom: "res4b10_branch2a"
top: "res4b10_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b10_branch2a_relu"
type: "ReLU"
bottom: "res4b10_branch2a"
top: "res4b10_branch2a"
}
layer {
name: "res4b10_branch2b"
type: "Convolution"
bottom: "res4b10_branch2a"
top: "res4b10_branch2b"
param {
name: "res4b10_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b10_branch2b"
type: "BatchNorm"
bottom: "res4b10_branch2b"
top: "res4b10_branch2b"
param {
name: "bn4b10_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b10_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b10_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b10_branch2b"
type: "Scale"
bottom: "res4b10_branch2b"
top: "res4b10_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b10_branch2b_relu"
type: "ReLU"
bottom: "res4b10_branch2b"
top: "res4b10_branch2b"
}
layer {
name: "res4b10_branch2c"
type: "Convolution"
bottom: "res4b10_branch2b"
top: "res4b10_branch2c"
param {
name: "res4b10_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b10_branch2c"
type: "BatchNorm"
bottom: "res4b10_branch2c"
top: "res4b10_branch2c"
param {
name: "bn4b10_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b10_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b10_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b10_branch2c"
type: "Scale"
bottom: "res4b10_branch2c"
top: "res4b10_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b10"
type: "Eltwise"
bottom: "res4b9"
bottom: "res4b10_branch2c"
top: "res4b10"
}
layer {
name: "res4b10_relu"
type: "ReLU"
bottom: "res4b10"
top: "res4b10"
}
layer {
name: "res4b11_branch2a"
type: "Convolution"
bottom: "res4b10"
top: "res4b11_branch2a"
param {
name: "res4b11_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b11_branch2a"
type: "BatchNorm"
bottom: "res4b11_branch2a"
top: "res4b11_branch2a"
param {
name: "bn4b11_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b11_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b11_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b11_branch2a"
type: "Scale"
bottom: "res4b11_branch2a"
top: "res4b11_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b11_branch2a_relu"
type: "ReLU"
bottom: "res4b11_branch2a"
top: "res4b11_branch2a"
}
layer {
name: "res4b11_branch2b"
type: "Convolution"
bottom: "res4b11_branch2a"
top: "res4b11_branch2b"
param {
name: "res4b11_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b11_branch2b"
type: "BatchNorm"
bottom: "res4b11_branch2b"
top: "res4b11_branch2b"
param {
name: "bn4b11_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b11_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b11_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b11_branch2b"
type: "Scale"
bottom: "res4b11_branch2b"
top: "res4b11_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b11_branch2b_relu"
type: "ReLU"
bottom: "res4b11_branch2b"
top: "res4b11_branch2b"
}
layer {
name: "res4b11_branch2c"
type: "Convolution"
bottom: "res4b11_branch2b"
top: "res4b11_branch2c"
param {
name: "res4b11_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b11_branch2c"
type: "BatchNorm"
bottom: "res4b11_branch2c"
top: "res4b11_branch2c"
param {
name: "bn4b11_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b11_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b11_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b11_branch2c"
type: "Scale"
bottom: "res4b11_branch2c"
top: "res4b11_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b11"
type: "Eltwise"
bottom: "res4b10"
bottom: "res4b11_branch2c"
top: "res4b11"
}
layer {
name: "res4b11_relu"
type: "ReLU"
bottom: "res4b11"
top: "res4b11"
}
layer {
name: "res4b12_branch2a"
type: "Convolution"
bottom: "res4b11"
top: "res4b12_branch2a"
param {
name: "res4b12_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b12_branch2a"
type: "BatchNorm"
bottom: "res4b12_branch2a"
top: "res4b12_branch2a"
param {
name: "bn4b12_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b12_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b12_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b12_branch2a"
type: "Scale"
bottom: "res4b12_branch2a"
top: "res4b12_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b12_branch2a_relu"
type: "ReLU"
bottom: "res4b12_branch2a"
top: "res4b12_branch2a"
}
layer {
name: "res4b12_branch2b"
type: "Convolution"
bottom: "res4b12_branch2a"
top: "res4b12_branch2b"
param {
name: "res4b12_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b12_branch2b"
type: "BatchNorm"
bottom: "res4b12_branch2b"
top: "res4b12_branch2b"
param {
name: "bn4b12_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b12_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b12_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b12_branch2b"
type: "Scale"
bottom: "res4b12_branch2b"
top: "res4b12_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b12_branch2b_relu"
type: "ReLU"
bottom: "res4b12_branch2b"
top: "res4b12_branch2b"
}
layer {
name: "res4b12_branch2c"
type: "Convolution"
bottom: "res4b12_branch2b"
top: "res4b12_branch2c"
param {
name: "res4b12_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b12_branch2c"
type: "BatchNorm"
bottom: "res4b12_branch2c"
top: "res4b12_branch2c"
param {
name: "bn4b12_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b12_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b12_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b12_branch2c"
type: "Scale"
bottom: "res4b12_branch2c"
top: "res4b12_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b12"
type: "Eltwise"
bottom: "res4b11"
bottom: "res4b12_branch2c"
top: "res4b12"
}
layer {
name: "res4b12_relu"
type: "ReLU"
bottom: "res4b12"
top: "res4b12"
}
layer {
name: "res4b13_branch2a"
type: "Convolution"
bottom: "res4b12"
top: "res4b13_branch2a"
param {
name: "res4b13_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b13_branch2a"
type: "BatchNorm"
bottom: "res4b13_branch2a"
top: "res4b13_branch2a"
param {
name: "bn4b13_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b13_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b13_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b13_branch2a"
type: "Scale"
bottom: "res4b13_branch2a"
top: "res4b13_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b13_branch2a_relu"
type: "ReLU"
bottom: "res4b13_branch2a"
top: "res4b13_branch2a"
}
layer {
name: "res4b13_branch2b"
type: "Convolution"
bottom: "res4b13_branch2a"
top: "res4b13_branch2b"
param {
name: "res4b13_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b13_branch2b"
type: "BatchNorm"
bottom: "res4b13_branch2b"
top: "res4b13_branch2b"
param {
name: "bn4b13_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b13_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b13_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b13_branch2b"
type: "Scale"
bottom: "res4b13_branch2b"
top: "res4b13_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b13_branch2b_relu"
type: "ReLU"
bottom: "res4b13_branch2b"
top: "res4b13_branch2b"
}
layer {
name: "res4b13_branch2c"
type: "Convolution"
bottom: "res4b13_branch2b"
top: "res4b13_branch2c"
param {
name: "res4b13_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b13_branch2c"
type: "BatchNorm"
bottom: "res4b13_branch2c"
top: "res4b13_branch2c"
param {
name: "bn4b13_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b13_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b13_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b13_branch2c"
type: "Scale"
bottom: "res4b13_branch2c"
top: "res4b13_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b13"
type: "Eltwise"
bottom: "res4b12"
bottom: "res4b13_branch2c"
top: "res4b13"
}
layer {
name: "res4b13_relu"
type: "ReLU"
bottom: "res4b13"
top: "res4b13"
}
layer {
name: "res4b14_branch2a"
type: "Convolution"
bottom: "res4b13"
top: "res4b14_branch2a"
param {
name: "res4b14_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b14_branch2a"
type: "BatchNorm"
bottom: "res4b14_branch2a"
top: "res4b14_branch2a"
param {
name: "bn4b14_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b14_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b14_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b14_branch2a"
type: "Scale"
bottom: "res4b14_branch2a"
top: "res4b14_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b14_branch2a_relu"
type: "ReLU"
bottom: "res4b14_branch2a"
top: "res4b14_branch2a"
}
layer {
name: "res4b14_branch2b"
type: "Convolution"
bottom: "res4b14_branch2a"
top: "res4b14_branch2b"
param {
name: "res4b14_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b14_branch2b"
type: "BatchNorm"
bottom: "res4b14_branch2b"
top: "res4b14_branch2b"
param {
name: "bn4b14_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b14_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b14_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b14_branch2b"
type: "Scale"
bottom: "res4b14_branch2b"
top: "res4b14_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b14_branch2b_relu"
type: "ReLU"
bottom: "res4b14_branch2b"
top: "res4b14_branch2b"
}
layer {
name: "res4b14_branch2c"
type: "Convolution"
bottom: "res4b14_branch2b"
top: "res4b14_branch2c"
param {
name: "res4b14_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b14_branch2c"
type: "BatchNorm"
bottom: "res4b14_branch2c"
top: "res4b14_branch2c"
param {
name: "bn4b14_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b14_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b14_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b14_branch2c"
type: "Scale"
bottom: "res4b14_branch2c"
top: "res4b14_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b14"
type: "Eltwise"
bottom: "res4b13"
bottom: "res4b14_branch2c"
top: "res4b14"
}
layer {
name: "res4b14_relu"
type: "ReLU"
bottom: "res4b14"
top: "res4b14"
}
layer {
name: "res4b15_branch2a"
type: "Convolution"
bottom: "res4b14"
top: "res4b15_branch2a"
param {
name: "res4b15_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b15_branch2a"
type: "BatchNorm"
bottom: "res4b15_branch2a"
top: "res4b15_branch2a"
param {
name: "bn4b15_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b15_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b15_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b15_branch2a"
type: "Scale"
bottom: "res4b15_branch2a"
top: "res4b15_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b15_branch2a_relu"
type: "ReLU"
bottom: "res4b15_branch2a"
top: "res4b15_branch2a"
}
layer {
name: "res4b15_branch2b"
type: "Convolution"
bottom: "res4b15_branch2a"
top: "res4b15_branch2b"
param {
name: "res4b15_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b15_branch2b"
type: "BatchNorm"
bottom: "res4b15_branch2b"
top: "res4b15_branch2b"
param {
name: "bn4b15_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b15_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b15_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b15_branch2b"
type: "Scale"
bottom: "res4b15_branch2b"
top: "res4b15_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b15_branch2b_relu"
type: "ReLU"
bottom: "res4b15_branch2b"
top: "res4b15_branch2b"
}
layer {
name: "res4b15_branch2c"
type: "Convolution"
bottom: "res4b15_branch2b"
top: "res4b15_branch2c"
param {
name: "res4b15_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b15_branch2c"
type: "BatchNorm"
bottom: "res4b15_branch2c"
top: "res4b15_branch2c"
param {
name: "bn4b15_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b15_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b15_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b15_branch2c"
type: "Scale"
bottom: "res4b15_branch2c"
top: "res4b15_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b15"
type: "Eltwise"
bottom: "res4b14"
bottom: "res4b15_branch2c"
top: "res4b15"
}
layer {
name: "res4b15_relu"
type: "ReLU"
bottom: "res4b15"
top: "res4b15"
}
layer {
name: "res4b16_branch2a"
type: "Convolution"
bottom: "res4b15"
top: "res4b16_branch2a"
param {
name: "res4b16_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b16_branch2a"
type: "BatchNorm"
bottom: "res4b16_branch2a"
top: "res4b16_branch2a"
param {
name: "bn4b16_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b16_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b16_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b16_branch2a"
type: "Scale"
bottom: "res4b16_branch2a"
top: "res4b16_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b16_branch2a_relu"
type: "ReLU"
bottom: "res4b16_branch2a"
top: "res4b16_branch2a"
}
layer {
name: "res4b16_branch2b"
type: "Convolution"
bottom: "res4b16_branch2a"
top: "res4b16_branch2b"
param {
name: "res4b16_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b16_branch2b"
type: "BatchNorm"
bottom: "res4b16_branch2b"
top: "res4b16_branch2b"
param {
name: "bn4b16_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b16_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b16_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b16_branch2b"
type: "Scale"
bottom: "res4b16_branch2b"
top: "res4b16_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b16_branch2b_relu"
type: "ReLU"
bottom: "res4b16_branch2b"
top: "res4b16_branch2b"
}
layer {
name: "res4b16_branch2c"
type: "Convolution"
bottom: "res4b16_branch2b"
top: "res4b16_branch2c"
param {
name: "res4b16_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b16_branch2c"
type: "BatchNorm"
bottom: "res4b16_branch2c"
top: "res4b16_branch2c"
param {
name: "bn4b16_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b16_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b16_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b16_branch2c"
type: "Scale"
bottom: "res4b16_branch2c"
top: "res4b16_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b16"
type: "Eltwise"
bottom: "res4b15"
bottom: "res4b16_branch2c"
top: "res4b16"
}
layer {
name: "res4b16_relu"
type: "ReLU"
bottom: "res4b16"
top: "res4b16"
}
layer {
name: "res4b17_branch2a"
type: "Convolution"
bottom: "res4b16"
top: "res4b17_branch2a"
param {
name: "res4b17_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b17_branch2a"
type: "BatchNorm"
bottom: "res4b17_branch2a"
top: "res4b17_branch2a"
param {
name: "bn4b17_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b17_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b17_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b17_branch2a"
type: "Scale"
bottom: "res4b17_branch2a"
top: "res4b17_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b17_branch2a_relu"
type: "ReLU"
bottom: "res4b17_branch2a"
top: "res4b17_branch2a"
}
layer {
name: "res4b17_branch2b"
type: "Convolution"
bottom: "res4b17_branch2a"
top: "res4b17_branch2b"
param {
name: "res4b17_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b17_branch2b"
type: "BatchNorm"
bottom: "res4b17_branch2b"
top: "res4b17_branch2b"
param {
name: "bn4b17_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b17_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b17_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b17_branch2b"
type: "Scale"
bottom: "res4b17_branch2b"
top: "res4b17_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b17_branch2b_relu"
type: "ReLU"
bottom: "res4b17_branch2b"
top: "res4b17_branch2b"
}
layer {
name: "res4b17_branch2c"
type: "Convolution"
bottom: "res4b17_branch2b"
top: "res4b17_branch2c"
param {
name: "res4b17_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b17_branch2c"
type: "BatchNorm"
bottom: "res4b17_branch2c"
top: "res4b17_branch2c"
param {
name: "bn4b17_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b17_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b17_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b17_branch2c"
type: "Scale"
bottom: "res4b17_branch2c"
top: "res4b17_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b17"
type: "Eltwise"
bottom: "res4b16"
bottom: "res4b17_branch2c"
top: "res4b17"
}
layer {
name: "res4b17_relu"
type: "ReLU"
bottom: "res4b17"
top: "res4b17"
}
layer {
name: "res4b18_branch2a"
type: "Convolution"
bottom: "res4b17"
top: "res4b18_branch2a"
param {
name: "res4b18_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b18_branch2a"
type: "BatchNorm"
bottom: "res4b18_branch2a"
top: "res4b18_branch2a"
param {
name: "bn4b18_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b18_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b18_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b18_branch2a"
type: "Scale"
bottom: "res4b18_branch2a"
top: "res4b18_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b18_branch2a_relu"
type: "ReLU"
bottom: "res4b18_branch2a"
top: "res4b18_branch2a"
}
layer {
name: "res4b18_branch2b"
type: "Convolution"
bottom: "res4b18_branch2a"
top: "res4b18_branch2b"
param {
name: "res4b18_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b18_branch2b"
type: "BatchNorm"
bottom: "res4b18_branch2b"
top: "res4b18_branch2b"
param {
name: "bn4b18_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b18_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b18_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b18_branch2b"
type: "Scale"
bottom: "res4b18_branch2b"
top: "res4b18_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b18_branch2b_relu"
type: "ReLU"
bottom: "res4b18_branch2b"
top: "res4b18_branch2b"
}
layer {
name: "res4b18_branch2c"
type: "Convolution"
bottom: "res4b18_branch2b"
top: "res4b18_branch2c"
param {
name: "res4b18_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b18_branch2c"
type: "BatchNorm"
bottom: "res4b18_branch2c"
top: "res4b18_branch2c"
param {
name: "bn4b18_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b18_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b18_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b18_branch2c"
type: "Scale"
bottom: "res4b18_branch2c"
top: "res4b18_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b18"
type: "Eltwise"
bottom: "res4b17"
bottom: "res4b18_branch2c"
top: "res4b18"
}
layer {
name: "res4b18_relu"
type: "ReLU"
bottom: "res4b18"
top: "res4b18"
}
layer {
name: "res4b19_branch2a"
type: "Convolution"
bottom: "res4b18"
top: "res4b19_branch2a"
param {
name: "res4b19_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b19_branch2a"
type: "BatchNorm"
bottom: "res4b19_branch2a"
top: "res4b19_branch2a"
param {
name: "bn4b19_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b19_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b19_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b19_branch2a"
type: "Scale"
bottom: "res4b19_branch2a"
top: "res4b19_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b19_branch2a_relu"
type: "ReLU"
bottom: "res4b19_branch2a"
top: "res4b19_branch2a"
}
layer {
name: "res4b19_branch2b"
type: "Convolution"
bottom: "res4b19_branch2a"
top: "res4b19_branch2b"
param {
name: "res4b19_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b19_branch2b"
type: "BatchNorm"
bottom: "res4b19_branch2b"
top: "res4b19_branch2b"
param {
name: "bn4b19_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b19_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b19_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b19_branch2b"
type: "Scale"
bottom: "res4b19_branch2b"
top: "res4b19_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b19_branch2b_relu"
type: "ReLU"
bottom: "res4b19_branch2b"
top: "res4b19_branch2b"
}
layer {
name: "res4b19_branch2c"
type: "Convolution"
bottom: "res4b19_branch2b"
top: "res4b19_branch2c"
param {
name: "res4b19_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b19_branch2c"
type: "BatchNorm"
bottom: "res4b19_branch2c"
top: "res4b19_branch2c"
param {
name: "bn4b19_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b19_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b19_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b19_branch2c"
type: "Scale"
bottom: "res4b19_branch2c"
top: "res4b19_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b19"
type: "Eltwise"
bottom: "res4b18"
bottom: "res4b19_branch2c"
top: "res4b19"
}
layer {
name: "res4b19_relu"
type: "ReLU"
bottom: "res4b19"
top: "res4b19"
}
layer {
name: "res4b20_branch2a"
type: "Convolution"
bottom: "res4b19"
top: "res4b20_branch2a"
param {
name: "res4b20_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b20_branch2a"
type: "BatchNorm"
bottom: "res4b20_branch2a"
top: "res4b20_branch2a"
param {
name: "bn4b20_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b20_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b20_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b20_branch2a"
type: "Scale"
bottom: "res4b20_branch2a"
top: "res4b20_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b20_branch2a_relu"
type: "ReLU"
bottom: "res4b20_branch2a"
top: "res4b20_branch2a"
}
layer {
name: "res4b20_branch2b"
type: "Convolution"
bottom: "res4b20_branch2a"
top: "res4b20_branch2b"
param {
name: "res4b20_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b20_branch2b"
type: "BatchNorm"
bottom: "res4b20_branch2b"
top: "res4b20_branch2b"
param {
name: "bn4b20_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b20_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b20_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b20_branch2b"
type: "Scale"
bottom: "res4b20_branch2b"
top: "res4b20_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b20_branch2b_relu"
type: "ReLU"
bottom: "res4b20_branch2b"
top: "res4b20_branch2b"
}
layer {
name: "res4b20_branch2c"
type: "Convolution"
bottom: "res4b20_branch2b"
top: "res4b20_branch2c"
param {
name: "res4b20_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b20_branch2c"
type: "BatchNorm"
bottom: "res4b20_branch2c"
top: "res4b20_branch2c"
param {
name: "bn4b20_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b20_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b20_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b20_branch2c"
type: "Scale"
bottom: "res4b20_branch2c"
top: "res4b20_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b20"
type: "Eltwise"
bottom: "res4b19"
bottom: "res4b20_branch2c"
top: "res4b20"
}
layer {
name: "res4b20_relu"
type: "ReLU"
bottom: "res4b20"
top: "res4b20"
}
layer {
name: "res4b21_branch2a"
type: "Convolution"
bottom: "res4b20"
top: "res4b21_branch2a"
param {
name: "res4b21_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b21_branch2a"
type: "BatchNorm"
bottom: "res4b21_branch2a"
top: "res4b21_branch2a"
param {
name: "bn4b21_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b21_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b21_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b21_branch2a"
type: "Scale"
bottom: "res4b21_branch2a"
top: "res4b21_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b21_branch2a_relu"
type: "ReLU"
bottom: "res4b21_branch2a"
top: "res4b21_branch2a"
}
layer {
name: "res4b21_branch2b"
type: "Convolution"
bottom: "res4b21_branch2a"
top: "res4b21_branch2b"
param {
name: "res4b21_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b21_branch2b"
type: "BatchNorm"
bottom: "res4b21_branch2b"
top: "res4b21_branch2b"
param {
name: "bn4b21_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b21_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b21_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b21_branch2b"
type: "Scale"
bottom: "res4b21_branch2b"
top: "res4b21_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b21_branch2b_relu"
type: "ReLU"
bottom: "res4b21_branch2b"
top: "res4b21_branch2b"
}
layer {
name: "res4b21_branch2c"
type: "Convolution"
bottom: "res4b21_branch2b"
top: "res4b21_branch2c"
param {
name: "res4b21_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b21_branch2c"
type: "BatchNorm"
bottom: "res4b21_branch2c"
top: "res4b21_branch2c"
param {
name: "bn4b21_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b21_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b21_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b21_branch2c"
type: "Scale"
bottom: "res4b21_branch2c"
top: "res4b21_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b21"
type: "Eltwise"
bottom: "res4b20"
bottom: "res4b21_branch2c"
top: "res4b21"
}
layer {
name: "res4b21_relu"
type: "ReLU"
bottom: "res4b21"
top: "res4b21"
}
layer {
name: "res4b22_branch2a"
type: "Convolution"
bottom: "res4b21"
top: "res4b22_branch2a"
param {
name: "res4b22_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b22_branch2a"
type: "BatchNorm"
bottom: "res4b22_branch2a"
top: "res4b22_branch2a"
param {
name: "bn4b22_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn4b22_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn4b22_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b22_branch2a"
type: "Scale"
bottom: "res4b22_branch2a"
top: "res4b22_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res4b22_branch2a_relu"
type: "ReLU"
bottom: "res4b22_branch2a"
top: "res4b22_branch2a"
}
layer {
name: "res4b22_branch2b"
type: "Convolution"
bottom: "res4b22_branch2a"
top: "res4b22_branch2b"
param {
name: "res4b22_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 256
bias_term: false
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "bn4b22_branch2b"
type: "BatchNorm"
bottom: "res4b22_branch2b"
top: "res4b22_branch2b"
param {
name: "bn4b22_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn4b22_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn4b22_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b22_branch2b"
type: "Scale"
bottom: "res4b22_branch2b"
top: "res4b22_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res4b22_branch2b_relu"
type: "ReLU"
bottom: "res4b22_branch2b"
top: "res4b22_branch2b"
}
layer {
name: "res4b22_branch2c"
type: "Convolution"
bottom: "res4b22_branch2b"
top: "res4b22_branch2c"
param {
name: "res4b22_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 1024
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn4b22_branch2c"
type: "BatchNorm"
bottom: "res4b22_branch2c"
top: "res4b22_branch2c"
param {
name: "bn4b22_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn4b22_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn4b22_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale4b22_branch2c"
type: "Scale"
bottom: "res4b22_branch2c"
top: "res4b22_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res4b22"
type: "Eltwise"
bottom: "res4b21"
bottom: "res4b22_branch2c"
top: "res4b22"
}
layer {
name: "res4b22_relu"
type: "ReLU"
bottom: "res4b22"
top: "res4b22"
}
layer {
name: "res5a_branch1"
type: "Convolution"
bottom: "res4b22"
top: "res5a_branch1"
param {
name: "res5a_branch1_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 2048
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn5a_branch1"
type: "BatchNorm"
bottom: "res5a_branch1"
top: "res5a_branch1"
param {
name: "bn5a_branch1_0"
lr_mult: 0.0
}
param {
name: "bn5a_branch1_1"
lr_mult: 0.0
}
param {
name: "bn5a_branch1_2"
lr_mult: 0.0
}
}
layer {
name: "scale5a_branch1"
type: "Scale"
bottom: "res5a_branch1"
top: "res5a_branch1"
scale_param {
bias_term: true
}
}
layer {
name: "res5a_branch2a"
type: "Convolution"
bottom: "res4b22"
top: "res5a_branch2a"
param {
name: "res5a_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn5a_branch2a"
type: "BatchNorm"
bottom: "res5a_branch2a"
top: "res5a_branch2a"
param {
name: "bn5a_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn5a_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn5a_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale5a_branch2a"
type: "Scale"
bottom: "res5a_branch2a"
top: "res5a_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res5a_branch2a_relu"
type: "ReLU"
bottom: "res5a_branch2a"
top: "res5a_branch2a"
}
layer {
name: "res5a_branch2b"
type: "Convolution"
bottom: "res5a_branch2a"
top: "res5a_branch2b"
param {
name: "res5a_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 4
kernel_size: 3
stride: 1
dilation: 4
}
}
layer {
name: "bn5a_branch2b"
type: "BatchNorm"
bottom: "res5a_branch2b"
top: "res5a_branch2b"
param {
name: "bn5a_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn5a_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn5a_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale5a_branch2b"
type: "Scale"
bottom: "res5a_branch2b"
top: "res5a_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res5a_branch2b_relu"
type: "ReLU"
bottom: "res5a_branch2b"
top: "res5a_branch2b"
}
layer {
name: "res5a_branch2c"
type: "Convolution"
bottom: "res5a_branch2b"
top: "res5a_branch2c"
param {
name: "res5a_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 2048
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn5a_branch2c"
type: "BatchNorm"
bottom: "res5a_branch2c"
top: "res5a_branch2c"
param {
name: "bn5a_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn5a_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn5a_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale5a_branch2c"
type: "Scale"
bottom: "res5a_branch2c"
top: "res5a_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res5a"
type: "Eltwise"
bottom: "res5a_branch1"
bottom: "res5a_branch2c"
top: "res5a"
}
layer {
name: "res5a_relu"
type: "ReLU"
bottom: "res5a"
top: "res5a"
}
layer {
name: "res5b_branch2a"
type: "Convolution"
bottom: "res5a"
top: "res5b_branch2a"
param {
name: "res5b_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn5b_branch2a"
type: "BatchNorm"
bottom: "res5b_branch2a"
top: "res5b_branch2a"
param {
name: "bn5b_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn5b_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn5b_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale5b_branch2a"
type: "Scale"
bottom: "res5b_branch2a"
top: "res5b_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res5b_branch2a_relu"
type: "ReLU"
bottom: "res5b_branch2a"
top: "res5b_branch2a"
}
layer {
name: "res5b_branch2b"
type: "Convolution"
bottom: "res5b_branch2a"
top: "res5b_branch2b"
param {
name: "res5b_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 4
kernel_size: 3
stride: 1
dilation: 4
}
}
layer {
name: "bn5b_branch2b"
type: "BatchNorm"
bottom: "res5b_branch2b"
top: "res5b_branch2b"
param {
name: "bn5b_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn5b_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn5b_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale5b_branch2b"
type: "Scale"
bottom: "res5b_branch2b"
top: "res5b_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res5b_branch2b_relu"
type: "ReLU"
bottom: "res5b_branch2b"
top: "res5b_branch2b"
}
layer {
name: "res5b_branch2c"
type: "Convolution"
bottom: "res5b_branch2b"
top: "res5b_branch2c"
param {
name: "res5b_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 2048
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn5b_branch2c"
type: "BatchNorm"
bottom: "res5b_branch2c"
top: "res5b_branch2c"
param {
name: "bn5b_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn5b_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn5b_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale5b_branch2c"
type: "Scale"
bottom: "res5b_branch2c"
top: "res5b_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res5b"
type: "Eltwise"
bottom: "res5a"
bottom: "res5b_branch2c"
top: "res5b"
}
layer {
name: "res5b_relu"
type: "ReLU"
bottom: "res5b"
top: "res5b"
}
layer {
name: "res5c_branch2a"
type: "Convolution"
bottom: "res5b"
top: "res5c_branch2a"
param {
name: "res5c_branch2a_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn5c_branch2a"
type: "BatchNorm"
bottom: "res5c_branch2a"
top: "res5c_branch2a"
param {
name: "bn5c_branch2a_0"
lr_mult: 0.0
}
param {
name: "bn5c_branch2a_1"
lr_mult: 0.0
}
param {
name: "bn5c_branch2a_2"
lr_mult: 0.0
}
}
layer {
name: "scale5c_branch2a"
type: "Scale"
bottom: "res5c_branch2a"
top: "res5c_branch2a"
scale_param {
bias_term: true
}
}
layer {
name: "res5c_branch2a_relu"
type: "ReLU"
bottom: "res5c_branch2a"
top: "res5c_branch2a"
}
layer {
name: "res5c_branch2b"
type: "Convolution"
bottom: "res5c_branch2a"
top: "res5c_branch2b"
param {
name: "res5c_branch2b_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 512
bias_term: false
pad: 4
kernel_size: 3
stride: 1
dilation: 4
}
}
layer {
name: "bn5c_branch2b"
type: "BatchNorm"
bottom: "res5c_branch2b"
top: "res5c_branch2b"
param {
name: "bn5c_branch2b_0"
lr_mult: 0.0
}
param {
name: "bn5c_branch2b_1"
lr_mult: 0.0
}
param {
name: "bn5c_branch2b_2"
lr_mult: 0.0
}
}
layer {
name: "scale5c_branch2b"
type: "Scale"
bottom: "res5c_branch2b"
top: "res5c_branch2b"
scale_param {
bias_term: true
}
}
layer {
name: "res5c_branch2b_relu"
type: "ReLU"
bottom: "res5c_branch2b"
top: "res5c_branch2b"
}
layer {
name: "res5c_branch2c"
type: "Convolution"
bottom: "res5c_branch2b"
top: "res5c_branch2c"
param {
name: "res5c_branch2c_0"
lr_mult: 1.0
decay_mult: 1.0
}
convolution_param {
num_output: 2048
bias_term: false
pad: 0
kernel_size: 1
stride: 1
}
}
layer {
name: "bn5c_branch2c"
type: "BatchNorm"
bottom: "res5c_branch2c"
top: "res5c_branch2c"
param {
name: "bn5c_branch2c_0"
lr_mult: 0.0
}
param {
name: "bn5c_branch2c_1"
lr_mult: 0.0
}
param {
name: "bn5c_branch2c_2"
lr_mult: 0.0
}
}
layer {
name: "scale5c_branch2c"
type: "Scale"
bottom: "res5c_branch2c"
top: "res5c_branch2c"
scale_param {
bias_term: true
}
}
layer {
name: "res5c"
type: "Eltwise"
bottom: "res5b"
bottom: "res5c_branch2c"
top: "res5c"
}
layer {
name: "res5c_relu"
type: "ReLU"
bottom: "res5c"
top: "res5c"
}
layer {
name: "fc1_binary_seg_c0_n"
type: "Convolution"
bottom: "res5c"
top: "fc1_binary_seg_c0_n"
param {
name: "fc1_binary_seg_c0_w"
}
param {
name: "fc1_binary_seg_c0_b"
}
convolution_param {
num_output: 5
pad: 6
kernel_size: 3
dilation: 6
}
}
layer {
name: "fc1_binary_seg_c1_n"
type: "Convolution"
bottom: "res5c"
top: "fc1_binary_seg_c1_n"
param {
name: "fc1_binary_seg_c1_w"
}
param {
name: "fc1_binary_seg_c1_b"
}
convolution_param {
num_output: 5
pad: 12
kernel_size: 3
dilation: 12
}
}
layer {
name: "fc1_binary_seg_c2_n"
type: "Convolution"
bottom: "res5c"
top: "fc1_binary_seg_c2_n"
param {
name: "fc1_binary_seg_c2_w"
}
param {
name: "fc1_binary_seg_c2_b"
}
convolution_param {
num_output: 5
pad: 18
kernel_size: 3
dilation: 18
}
}
layer {
name: "fc1_binary_seg_c3_n"
type: "Convolution"
bottom: "res5c"
top: "fc1_binary_seg_c3_n"
param {
name: "fc1_binary_seg_c3_w"
}
param {
name: "fc1_binary_seg_c3_b"
}
convolution_param {
num_output: 5
pad: 24
kernel_size: 3
dilation: 24
}
}
layer {
name: "fc1_binary_seg"
type: "Eltwise"
bottom: "fc1_binary_seg_c0_n"
bottom: "fc1_binary_seg_c1_n"
bottom: "fc1_binary_seg_c2_n"
bottom: "fc1_binary_seg_c3_n"
top: "fc1_binary_seg"
eltwise_param {
operation: SUM
}
}
layer {
name: "fc1_interp"
type: "Interp"
bottom: "fc1_binary_seg"
top: "fc1_interp"
interp_param {
zoom_factor: 8
}
}
#layer {
# name: "fc1_interp_argmax"
# type: "ArgMax"
# bottom: "fc1_interp"
# top: "fc1_interp_argmax"
# argmax_param {
# axis: 1
# }
#}
layer {
name: "fc1_interp_crop"
type: "Crop"
bottom: "fc1_interp"
bottom: "label"
top: "fc1_interp"
crop_param {
axis: 2
offset: 0
}
}
#layer {
#name: "fc1_mat"
#type: "MatWrite"
#bottom: "fc1_interp"
##bottom: "fc1_interp_argmax"
#include {
# phase: TRAIN
#}
#
#mat_write_param {
# root_folder: ${OUTPUT_DIR}
# source: ${IMAGE_OUTPUT_LIST}
# strip: 0
# period: 1
#}
#
#}
layer {
name: "loss"
type: "SoftmaxWithLoss"
bottom: "fc1_interp"
bottom: "label"
top: "loss"
loss_param {
normalize: false
}
include {
phase: TRAIN
}
}
layer {
name: "silence"
type: "Silence"
#bottom: "label"
bottom: "data_dim"
##bottom: "fc1_interp"
}
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