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1082 lines (1017 loc) · 17.6 KB
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name: "YOLONet"
input: "data"
input_shape {
dim: 1
dim: 3
dim: 448
dim: 448
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
convolution_param {
num_output: 64
kernel_size: 7
pad: 3
stride: 2
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "conv1"
top: "relu1"
}
layer {
name: "scale1"
type: "Power"
bottom: "conv1"
top: "scale1"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise1"
type: "Eltwise"
bottom: "relu1"
bottom: "scale1"
top: "layer1"
eltwise_param {
operation: SUM
}
}
layer {
name: "pool1"
type: "Pooling"
bottom: "layer1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer{
name: "conv2"
type: "Convolution"
bottom: "pool1"
top: "conv2"
convolution_param {
num_output: 192
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "conv2"
top: "relu2"
}
layer {
name: "scale2"
type: "Power"
bottom: "conv2"
top: "scale2"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise2"
type: "Eltwise"
bottom: "relu2"
bottom: "scale2"
top: "layer2"
eltwise_param {
operation: SUM
}
}
layer {
name: "pool2"
type: "Pooling"
bottom: "layer2"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer{
name: "conv3"
type: "Convolution"
bottom: "pool2"
top: "conv3"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu3"
type: "ReLU"
bottom: "conv3"
top: "relu3"
}
layer {
name: "scale3"
type: "Power"
bottom: "conv3"
top: "scale3"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise3"
type: "Eltwise"
bottom: "relu3"
bottom: "scale3"
top: "layer3"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv4"
type: "Convolution"
bottom: "layer3"
top: "conv4"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu4"
type: "ReLU"
bottom: "conv4"
top: "relu4"
}
layer {
name: "scale4"
type: "Power"
bottom: "conv4"
top: "scale4"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise4"
type: "Eltwise"
bottom: "relu4"
bottom: "scale4"
top: "layer4"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv5"
type: "Convolution"
bottom: "layer4"
top: "conv5"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu5"
type: "ReLU"
bottom: "conv5"
top: "relu5"
}
layer {
name: "scale5"
type: "Power"
bottom: "conv5"
top: "scale5"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise5"
type: "Eltwise"
bottom: "relu5"
bottom: "scale5"
top: "layer5"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv6"
type: "Convolution"
bottom: "layer5"
top: "conv6"
convolution_param {
num_output: 512
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu6"
type: "ReLU"
bottom: "conv6"
top: "relu6"
}
layer {
name: "scale6"
type: "Power"
bottom: "conv6"
top: "scale6"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise6"
type: "Eltwise"
bottom: "relu6"
bottom: "scale6"
top: "layer6"
eltwise_param {
operation: SUM
}
}
layer {
name: "pool6"
type: "Pooling"
bottom: "layer6"
top: "pool6"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer{
name: "conv7"
type: "Convolution"
bottom: "pool6"
top: "conv7"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu7"
type: "ReLU"
bottom: "conv7"
top: "relu7"
}
layer {
name: "scale7"
type: "Power"
bottom: "conv7"
top: "scale7"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise7"
type: "Eltwise"
bottom: "relu7"
bottom: "scale7"
top: "layer7"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv8"
type: "Convolution"
bottom: "layer7"
top: "conv8"
convolution_param {
num_output: 512
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu8"
type: "ReLU"
bottom: "conv8"
top: "relu8"
}
layer {
name: "scale8"
type: "Power"
bottom: "conv8"
top: "scale8"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise8"
type: "Eltwise"
bottom: "relu8"
bottom: "scale8"
top: "layer8"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv9"
type: "Convolution"
bottom: "layer8"
top: "conv9"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu9"
type: "ReLU"
bottom: "conv9"
top: "relu9"
}
layer {
name: "scale9"
type: "Power"
bottom: "conv9"
top: "scale9"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise9"
type: "Eltwise"
bottom: "relu9"
bottom: "scale9"
top: "layer9"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv10"
type: "Convolution"
bottom: "layer9"
top: "conv10"
convolution_param {
num_output: 512
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu10"
type: "ReLU"
bottom: "conv10"
top: "relu10"
}
layer {
name: "scale10"
type: "Power"
bottom: "conv10"
top: "scale10"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise10"
type: "Eltwise"
bottom: "relu10"
bottom: "scale10"
top: "layer10"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv11"
type: "Convolution"
bottom: "layer10"
top: "conv11"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu11"
type: "ReLU"
bottom: "conv11"
top: "relu11"
}
layer {
name: "scale11"
type: "Power"
bottom: "conv11"
top: "scale11"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise11"
type: "Eltwise"
bottom: "relu11"
bottom: "scale11"
top: "layer11"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv12"
type: "Convolution"
bottom: "layer11"
top: "conv12"
convolution_param {
num_output: 512
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu12"
type: "ReLU"
bottom: "conv12"
top: "relu12"
}
layer {
name: "scale12"
type: "Power"
bottom: "conv12"
top: "scale12"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise12"
type: "Eltwise"
bottom: "relu12"
bottom: "scale12"
top: "layer12"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv13"
type: "Convolution"
bottom: "layer12"
top: "conv13"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu13"
type: "ReLU"
bottom: "conv13"
top: "relu13"
}
layer {
name: "scale13"
type: "Power"
bottom: "conv13"
top: "scale13"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise13"
type: "Eltwise"
bottom: "relu13"
bottom: "scale13"
top: "layer13"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv14"
type: "Convolution"
bottom: "layer13"
top: "conv14"
convolution_param {
num_output: 512
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu14"
type: "ReLU"
bottom: "conv14"
top: "relu14"
}
layer {
name: "scale14"
type: "Power"
bottom: "conv14"
top: "scale14"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise14"
type: "Eltwise"
bottom: "relu14"
bottom: "scale14"
top: "layer14"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv15"
type: "Convolution"
bottom: "layer14"
top: "conv15"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu15"
type: "ReLU"
bottom: "conv15"
top: "relu15"
}
layer {
name: "scale15"
type: "Power"
bottom: "conv15"
top: "scale15"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise15"
type: "Eltwise"
bottom: "relu15"
bottom: "scale15"
top: "layer15"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv16"
type: "Convolution"
bottom: "layer15"
top: "conv16"
convolution_param {
num_output: 1024
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu16"
type: "ReLU"
bottom: "conv16"
top: "relu16"
}
layer {
name: "scale16"
type: "Power"
bottom: "conv16"
top: "scale16"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise16"
type: "Eltwise"
bottom: "relu16"
bottom: "scale16"
top: "layer16"
eltwise_param {
operation: SUM
}
}
layer {
name: "pool16"
type: "Pooling"
bottom: "layer16"
top: "pool16"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer{
name: "conv17"
type: "Convolution"
bottom: "pool16"
top: "conv17"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu17"
type: "ReLU"
bottom: "conv17"
top: "relu17"
}
layer {
name: "scale17"
type: "Power"
bottom: "conv17"
top: "scale17"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise17"
type: "Eltwise"
bottom: "relu17"
bottom: "scale17"
top: "layer17"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv18"
type: "Convolution"
bottom: "layer17"
top: "conv18"
convolution_param {
num_output: 1024
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu18"
type: "ReLU"
bottom: "conv18"
top: "relu18"
}
layer {
name: "scale18"
type: "Power"
bottom: "conv18"
top: "scale18"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise18"
type: "Eltwise"
bottom: "relu18"
bottom: "scale18"
top: "layer18"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv19"
type: "Convolution"
bottom: "layer18"
top: "conv19"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
}
}
layer {
name: "relu19"
type: "ReLU"
bottom: "conv19"
top: "relu19"
}
layer {
name: "scale19"
type: "Power"
bottom: "conv19"
top: "scale19"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise19"
type: "Eltwise"
bottom: "relu19"
bottom: "scale19"
top: "layer19"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv20"
type: "Convolution"
bottom: "layer19"
top: "conv20"
convolution_param {
num_output: 1024
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu20"
type: "ReLU"
bottom: "conv20"
top: "relu20"
}
layer {
name: "scale20"
type: "Power"
bottom: "conv20"
top: "scale20"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise20"
type: "Eltwise"
bottom: "relu20"
bottom: "scale20"
top: "layer20"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv21"
type: "Convolution"
bottom: "layer20"
top: "conv21"
convolution_param {
num_output: 1024
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu21"
type: "ReLU"
bottom: "conv21"
top: "relu21"
}
layer {
name: "scale21"
type: "Power"
bottom: "conv21"
top: "scale21"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise21"
type: "Eltwise"
bottom: "relu21"
bottom: "scale21"
top: "layer21"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv22"
type: "Convolution"
bottom: "layer21"
top: "conv22"
convolution_param {
num_output: 1024
kernel_size: 3
pad: 1
stride: 2
}
}
layer {
name: "relu22"
type: "ReLU"
bottom: "conv22"
top: "relu22"
}
layer {
name: "scale22"
type: "Power"
bottom: "conv22"
top: "scale22"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise22"
type: "Eltwise"
bottom: "relu22"
bottom: "scale22"
top: "layer22"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv23"
type: "Convolution"
bottom: "layer22"
top: "conv23"
convolution_param {
num_output: 1024
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu23"
type: "ReLU"
bottom: "conv23"
top: "relu23"
}
layer {
name: "scale23"
type: "Power"
bottom: "conv23"
top: "scale23"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise23"
type: "Eltwise"
bottom: "relu23"
bottom: "scale23"
top: "layer23"
eltwise_param {
operation: SUM
}
}
layer{
name: "conv24"
type: "Convolution"
bottom: "layer23"
top: "conv24"
convolution_param {
num_output: 1024
kernel_size: 3
pad: 1
stride: 1
}
}
layer {
name: "relu24"
type: "ReLU"
bottom: "conv24"
top: "relu24"
}
layer {
name: "scale24"
type: "Power"
bottom: "conv24"
top: "scale24"
power_param {
scale: 0.08
}
}
layer {
name: "eltwise24"
type: "Eltwise"
bottom: "relu24"
bottom: "scale24"
top: "layer24"
eltwise_param {
operation: SUM
}
}
layer{