795 lines
12 KiB
Plaintext
795 lines
12 KiB
Plaintext
layer {
|
|
name: "input"
|
|
type: "Input"
|
|
top: "Input1"
|
|
input_param {
|
|
shape {
|
|
dim: 1
|
|
dim: 3
|
|
dim: 312
|
|
dim: 312
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution1"
|
|
type: "Convolution"
|
|
bottom: "Input1"
|
|
top: "Convolution1"
|
|
convolution_param {
|
|
num_output: 32
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU1"
|
|
type: "ReLU"
|
|
bottom: "Convolution1"
|
|
top: "Convolution1"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution2"
|
|
type: "Convolution"
|
|
bottom: "Convolution1"
|
|
top: "Convolution2"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU2"
|
|
type: "ReLU"
|
|
bottom: "Convolution2"
|
|
top: "Convolution2"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution3"
|
|
type: "Convolution"
|
|
bottom: "Convolution2"
|
|
top: "Convolution3"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 2
|
|
stride: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU3"
|
|
type: "ReLU"
|
|
bottom: "Convolution3"
|
|
top: "Convolution3"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution4"
|
|
type: "Convolution"
|
|
bottom: "Convolution3"
|
|
top: "Convolution4"
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU4"
|
|
type: "ReLU"
|
|
bottom: "Convolution4"
|
|
top: "Convolution4"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution5"
|
|
type: "Convolution"
|
|
bottom: "Convolution4"
|
|
top: "Convolution5"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU5"
|
|
type: "ReLU"
|
|
bottom: "Convolution5"
|
|
top: "Convolution5"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Pooling1"
|
|
type: "Pooling"
|
|
bottom: "Convolution5"
|
|
top: "Pooling1"
|
|
pooling_param {
|
|
pool: AVE
|
|
global_pooling: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution6"
|
|
type: "Convolution"
|
|
bottom: "Pooling1"
|
|
top: "Convolution6"
|
|
convolution_param {
|
|
num_output: 8
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU6"
|
|
type: "ReLU"
|
|
bottom: "Convolution6"
|
|
top: "Convolution6"
|
|
}
|
|
layer {
|
|
name: "Convolution7"
|
|
type: "Convolution"
|
|
bottom: "Convolution6"
|
|
top: "Convolution7"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Sigmoid1"
|
|
type: "Sigmoid"
|
|
bottom: "Convolution7"
|
|
top: "Convolution7"
|
|
}
|
|
layer {
|
|
name: "Flatten1"
|
|
type: "Flatten"
|
|
bottom: "Convolution7"
|
|
top: "Flatten1"
|
|
}
|
|
layer {
|
|
name: "Scale1"
|
|
type: "Scale"
|
|
bottom: "Convolution5"
|
|
bottom: "Flatten1"
|
|
top: "Scale1"
|
|
scale_param {
|
|
axis: 0
|
|
bias_term: false
|
|
}
|
|
}
|
|
layer {
|
|
name: "Deconvolution1"
|
|
type: "Deconvolution"
|
|
bottom: "Scale1"
|
|
top: "Deconvolution1"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 2
|
|
stride: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU7"
|
|
type: "ReLU"
|
|
bottom: "Deconvolution1"
|
|
top: "Deconvolution1"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Crop1"
|
|
type: "Crop"
|
|
bottom: "Convolution2"
|
|
bottom: "Deconvolution1"
|
|
top: "Crop1"
|
|
crop_param {
|
|
axis: 2
|
|
offset: 4
|
|
}
|
|
}
|
|
layer {
|
|
name: "Eltwise1"
|
|
type: "Eltwise"
|
|
bottom: "Crop1"
|
|
bottom: "Deconvolution1"
|
|
top: "Eltwise1"
|
|
eltwise_param {
|
|
operation: SUM
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution8"
|
|
type: "Convolution"
|
|
bottom: "Eltwise1"
|
|
top: "Convolution8"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU8"
|
|
type: "ReLU"
|
|
bottom: "Convolution8"
|
|
top: "Convolution8"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution9"
|
|
type: "Convolution"
|
|
bottom: "Convolution8"
|
|
top: "Convolution9"
|
|
convolution_param {
|
|
num_output: 3
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution10"
|
|
type: "Convolution"
|
|
bottom: "Convolution9"
|
|
top: "Convolution10"
|
|
convolution_param {
|
|
num_output: 32
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU9"
|
|
type: "ReLU"
|
|
bottom: "Convolution10"
|
|
top: "Convolution10"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution11"
|
|
type: "Convolution"
|
|
bottom: "Convolution10"
|
|
top: "Convolution11"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU10"
|
|
type: "ReLU"
|
|
bottom: "Convolution11"
|
|
top: "Convolution11"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution12"
|
|
type: "Convolution"
|
|
bottom: "Convolution11"
|
|
top: "Convolution12"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 2
|
|
stride: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU11"
|
|
type: "ReLU"
|
|
bottom: "Convolution12"
|
|
top: "Convolution12"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution13"
|
|
type: "Convolution"
|
|
bottom: "Convolution12"
|
|
top: "Convolution13"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU12"
|
|
type: "ReLU"
|
|
bottom: "Convolution13"
|
|
top: "Convolution13"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution14"
|
|
type: "Convolution"
|
|
bottom: "Convolution13"
|
|
top: "Convolution14"
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU13"
|
|
type: "ReLU"
|
|
bottom: "Convolution14"
|
|
top: "Convolution14"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Pooling2"
|
|
type: "Pooling"
|
|
bottom: "Convolution14"
|
|
top: "Pooling2"
|
|
pooling_param {
|
|
pool: AVE
|
|
global_pooling: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution15"
|
|
type: "Convolution"
|
|
bottom: "Pooling2"
|
|
top: "Convolution15"
|
|
convolution_param {
|
|
num_output: 16
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU14"
|
|
type: "ReLU"
|
|
bottom: "Convolution15"
|
|
top: "Convolution15"
|
|
}
|
|
layer {
|
|
name: "Convolution16"
|
|
type: "Convolution"
|
|
bottom: "Convolution15"
|
|
top: "Convolution16"
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Sigmoid2"
|
|
type: "Sigmoid"
|
|
bottom: "Convolution16"
|
|
top: "Convolution16"
|
|
}
|
|
layer {
|
|
name: "Flatten2"
|
|
type: "Flatten"
|
|
bottom: "Convolution16"
|
|
top: "Flatten2"
|
|
}
|
|
layer {
|
|
name: "Scale2"
|
|
type: "Scale"
|
|
bottom: "Convolution14"
|
|
bottom: "Flatten2"
|
|
top: "Scale2"
|
|
scale_param {
|
|
axis: 0
|
|
bias_term: false
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution17"
|
|
type: "Convolution"
|
|
bottom: "Scale2"
|
|
top: "Convolution17"
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 2
|
|
stride: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU15"
|
|
type: "ReLU"
|
|
bottom: "Convolution17"
|
|
top: "Convolution17"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution18"
|
|
type: "Convolution"
|
|
bottom: "Convolution17"
|
|
top: "Convolution18"
|
|
convolution_param {
|
|
num_output: 256
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU16"
|
|
type: "ReLU"
|
|
bottom: "Convolution18"
|
|
top: "Convolution18"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution19"
|
|
type: "Convolution"
|
|
bottom: "Convolution18"
|
|
top: "Convolution19"
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU17"
|
|
type: "ReLU"
|
|
bottom: "Convolution19"
|
|
top: "Convolution19"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Pooling3"
|
|
type: "Pooling"
|
|
bottom: "Convolution19"
|
|
top: "Pooling3"
|
|
pooling_param {
|
|
pool: AVE
|
|
global_pooling: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution20"
|
|
type: "Convolution"
|
|
bottom: "Pooling3"
|
|
top: "Convolution20"
|
|
convolution_param {
|
|
num_output: 16
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU18"
|
|
type: "ReLU"
|
|
bottom: "Convolution20"
|
|
top: "Convolution20"
|
|
}
|
|
layer {
|
|
name: "Convolution21"
|
|
type: "Convolution"
|
|
bottom: "Convolution20"
|
|
top: "Convolution21"
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Sigmoid3"
|
|
type: "Sigmoid"
|
|
bottom: "Convolution21"
|
|
top: "Convolution21"
|
|
}
|
|
layer {
|
|
name: "Flatten3"
|
|
type: "Flatten"
|
|
bottom: "Convolution21"
|
|
top: "Flatten3"
|
|
}
|
|
layer {
|
|
name: "Scale3"
|
|
type: "Scale"
|
|
bottom: "Convolution19"
|
|
bottom: "Flatten3"
|
|
top: "Scale3"
|
|
scale_param {
|
|
axis: 0
|
|
bias_term: false
|
|
}
|
|
}
|
|
layer {
|
|
name: "Deconvolution2"
|
|
type: "Deconvolution"
|
|
bottom: "Scale3"
|
|
top: "Deconvolution2"
|
|
convolution_param {
|
|
num_output: 128
|
|
pad: 0
|
|
kernel_size: 2
|
|
stride: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU19"
|
|
type: "ReLU"
|
|
bottom: "Deconvolution2"
|
|
top: "Deconvolution2"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Crop2"
|
|
type: "Crop"
|
|
bottom: "Scale2"
|
|
bottom: "Deconvolution2"
|
|
top: "Crop2"
|
|
crop_param {
|
|
axis: 2
|
|
offset: 4
|
|
}
|
|
}
|
|
layer {
|
|
name: "Eltwise2"
|
|
type: "Eltwise"
|
|
bottom: "Crop2"
|
|
bottom: "Deconvolution2"
|
|
top: "Eltwise2"
|
|
eltwise_param {
|
|
operation: SUM
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution22"
|
|
type: "Convolution"
|
|
bottom: "Eltwise2"
|
|
top: "Convolution22"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU20"
|
|
type: "ReLU"
|
|
bottom: "Convolution22"
|
|
top: "Convolution22"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution23"
|
|
type: "Convolution"
|
|
bottom: "Convolution22"
|
|
top: "Convolution23"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU21"
|
|
type: "ReLU"
|
|
bottom: "Convolution23"
|
|
top: "Convolution23"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Pooling4"
|
|
type: "Pooling"
|
|
bottom: "Convolution23"
|
|
top: "Pooling4"
|
|
pooling_param {
|
|
pool: AVE
|
|
global_pooling: true
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution24"
|
|
type: "Convolution"
|
|
bottom: "Pooling4"
|
|
top: "Convolution24"
|
|
convolution_param {
|
|
num_output: 8
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU22"
|
|
type: "ReLU"
|
|
bottom: "Convolution24"
|
|
top: "Convolution24"
|
|
}
|
|
layer {
|
|
name: "Convolution25"
|
|
type: "Convolution"
|
|
bottom: "Convolution24"
|
|
top: "Convolution25"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 1
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Sigmoid4"
|
|
type: "Sigmoid"
|
|
bottom: "Convolution25"
|
|
top: "Convolution25"
|
|
}
|
|
layer {
|
|
name: "Flatten4"
|
|
type: "Flatten"
|
|
bottom: "Convolution25"
|
|
top: "Flatten4"
|
|
}
|
|
layer {
|
|
name: "Scale4"
|
|
type: "Scale"
|
|
bottom: "Convolution23"
|
|
bottom: "Flatten4"
|
|
top: "Scale4"
|
|
scale_param {
|
|
axis: 0
|
|
bias_term: false
|
|
}
|
|
}
|
|
layer {
|
|
name: "Deconvolution3"
|
|
type: "Deconvolution"
|
|
bottom: "Scale4"
|
|
top: "Deconvolution3"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 2
|
|
stride: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU23"
|
|
type: "ReLU"
|
|
bottom: "Deconvolution3"
|
|
top: "Deconvolution3"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Crop3"
|
|
type: "Crop"
|
|
bottom: "Convolution11"
|
|
bottom: "Deconvolution3"
|
|
top: "Crop3"
|
|
crop_param {
|
|
axis: 2
|
|
offset: 16
|
|
}
|
|
}
|
|
layer {
|
|
name: "Eltwise3"
|
|
type: "Eltwise"
|
|
bottom: "Crop3"
|
|
bottom: "Deconvolution3"
|
|
top: "Eltwise3"
|
|
eltwise_param {
|
|
operation: SUM
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution26"
|
|
type: "Convolution"
|
|
bottom: "Eltwise3"
|
|
top: "Convolution26"
|
|
convolution_param {
|
|
num_output: 64
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "ReLU24"
|
|
type: "ReLU"
|
|
bottom: "Convolution26"
|
|
top: "Convolution26"
|
|
relu_param {
|
|
negative_slope: 0.1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Convolution27"
|
|
type: "Convolution"
|
|
bottom: "Convolution26"
|
|
top: "Convolution27"
|
|
convolution_param {
|
|
num_output: 3
|
|
pad: 0
|
|
kernel_size: 3
|
|
stride: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "Crop4"
|
|
type: "Crop"
|
|
bottom: "Convolution9"
|
|
bottom: "Convolution27"
|
|
top: "Crop4"
|
|
crop_param {
|
|
axis: 2
|
|
offset: 20
|
|
}
|
|
}
|
|
layer {
|
|
name: "Eltwise4"
|
|
type: "Eltwise"
|
|
bottom: "Crop4"
|
|
bottom: "Convolution27"
|
|
top: "Eltwise4"
|
|
eltwise_param {
|
|
operation: SUM
|
|
}
|
|
}
|
|
|