Created
August 7, 2018 05:15
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name: "YOLONET" | |
input: "data" | |
input_shape { | |
dim: 1 | |
dim: 3 | |
dim: 416 | |
dim: 416 | |
} | |
layer { | |
name: "conv1" | |
type: "Convolution" | |
bottom: "data" | |
top: "conv1" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 32 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn1" | |
type: "BatchNorm" | |
bottom: "conv1" | |
top: "conv1" | |
param { | |
lr_mult: 0 | |
decay_mult: 0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0 | |
} | |
} | |
layer { | |
name: "scale1" | |
type: "Scale" | |
bottom: "conv1" | |
top: "conv1" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu1" | |
type: "ReLU" | |
bottom: "conv1" | |
top: "conv1" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer { | |
name: "pool1" | |
type: "Pooling" | |
bottom: "conv1" | |
top: "pool1" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer{ | |
name: "conv2" | |
type: "Convolution" | |
bottom: "pool1" | |
top: "conv2" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 64 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn2" | |
type: "BatchNorm" | |
bottom: "conv2" | |
top: "conv2" | |
param { | |
lr_mult: 0 | |
decay_mult: 0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0 | |
} | |
} | |
layer { | |
name: "scale2" | |
type: "Scale" | |
bottom: "conv2" | |
top: "conv2" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu2" | |
type: "ReLU" | |
bottom: "conv2" | |
top: "conv2" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer { | |
name: "pool2" | |
type: "Pooling" | |
bottom: "conv2" | |
top: "pool2" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer{ | |
name: "conv3" | |
type: "Convolution" | |
bottom: "pool2" | |
top: "conv3" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn3" | |
type: "BatchNorm" | |
bottom: "conv3" | |
top: "conv3" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale3" | |
type: "Scale" | |
bottom: "conv3" | |
top: "conv3" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu3" | |
type: "ReLU" | |
bottom: "conv3" | |
top: "conv3" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv4" | |
type: "Convolution" | |
bottom: "conv3" | |
top: "conv4" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 64 | |
kernel_size: 1 | |
pad: 0 #?? | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn4" | |
type: "BatchNorm" | |
bottom: "conv4" | |
top: "conv4" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale4" | |
type: "Scale" | |
bottom: "conv4" | |
top: "conv4" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu4" | |
type: "ReLU" | |
bottom: "conv4" | |
top: "conv4" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv5" | |
type: "Convolution" | |
bottom: "conv4" | |
top: "conv5" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn5" | |
type: "BatchNorm" | |
bottom: "conv5" | |
top: "conv5" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale5" | |
type: "Scale" | |
bottom: "conv5" | |
top: "conv5" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu5" | |
type: "ReLU" | |
bottom: "conv5" | |
top: "conv5" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer { | |
name: "pool5" | |
type: "Pooling" | |
bottom: "conv5" | |
top: "pool5" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer{ | |
name: "conv6" | |
type: "Convolution" | |
bottom: "pool5" | |
top: "conv6" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn6" | |
type: "BatchNorm" | |
bottom: "conv6" | |
top: "conv6" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale6" | |
type: "Scale" | |
bottom: "conv6" | |
top: "conv6" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu6" | |
type: "ReLU" | |
bottom: "conv6" | |
top: "conv6" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv7" | |
type: "Convolution" | |
bottom: "conv6" | |
top: "conv7" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn7" | |
type: "BatchNorm" | |
bottom: "conv7" | |
top: "conv7" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale7" | |
type: "Scale" | |
bottom: "conv7" | |
top: "conv7" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu7" | |
type: "ReLU" | |
bottom: "conv7" | |
top: "conv7" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv8" | |
type: "Convolution" | |
bottom: "conv7" | |
top: "conv8" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn8" | |
type: "BatchNorm" | |
bottom: "conv8" | |
top: "conv8" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale8" | |
type: "Scale" | |
bottom: "conv8" | |
top: "conv8" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu8" | |
type: "ReLU" | |
bottom: "conv8" | |
top: "conv8" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer { | |
name: "pool8" | |
type: "Pooling" | |
bottom: "conv8" | |
top: "pool8" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer{ | |
name: "conv9" | |
type: "Convolution" | |
bottom: "pool8" | |
top: "conv9" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn9" | |
type: "BatchNorm" | |
bottom: "conv9" | |
top: "conv9" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale9" | |
type: "Scale" | |
bottom: "conv9" | |
top: "conv9" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu9" | |
type: "ReLU" | |
bottom: "conv9" | |
top: "conv9" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv10" | |
type: "Convolution" | |
bottom: "conv9" | |
top: "conv10" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn10" | |
type: "BatchNorm" | |
bottom: "conv10" | |
top: "conv10" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale10" | |
type: "Scale" | |
bottom: "conv10" | |
top: "conv10" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu10" | |
type: "ReLU" | |
bottom: "conv10" | |
top: "conv10" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv11" | |
type: "Convolution" | |
bottom: "conv10" | |
top: "conv11" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn11" | |
type: "BatchNorm" | |
bottom: "conv11" | |
top: "conv11" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale11" | |
type: "Scale" | |
bottom: "conv11" | |
top: "conv11" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu11" | |
type: "ReLU" | |
bottom: "conv11" | |
top: "conv11" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv12" | |
type: "Convolution" | |
bottom: "conv11" | |
top: "conv12" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn12" | |
type: "BatchNorm" | |
bottom: "conv12" | |
top: "conv12" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale12" | |
type: "Scale" | |
bottom: "conv12" | |
top: "conv12" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu12" | |
type: "ReLU" | |
bottom: "conv12" | |
top: "conv12" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv13" | |
type: "Convolution" | |
bottom: "conv12" | |
top: "conv13" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn13" | |
type: "BatchNorm" | |
bottom: "conv13" | |
top: "conv13" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale13" | |
type: "Scale" | |
bottom: "conv13" | |
top: "conv13" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu13" | |
type: "ReLU" | |
bottom: "conv13" | |
top: "conv13" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer { | |
name: "pool13" | |
type: "Pooling" | |
bottom: "conv13" | |
top: "pool13" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer{ | |
name: "conv14" | |
type: "Convolution" | |
bottom: "pool13" | |
top: "conv14" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn14" | |
type: "BatchNorm" | |
bottom: "conv14" | |
top: "conv14" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale14" | |
type: "Scale" | |
bottom: "conv14" | |
top: "conv14" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu14" | |
type: "ReLU" | |
bottom: "conv14" | |
top: "conv14" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv15" | |
type: "Convolution" | |
bottom: "conv14" | |
top: "conv15" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn15" | |
type: "BatchNorm" | |
bottom: "conv15" | |
top: "conv15" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale15" | |
type: "Scale" | |
bottom: "conv15" | |
top: "conv15" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu15" | |
type: "ReLU" | |
bottom: "conv15" | |
top: "conv15" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv16" | |
type: "Convolution" | |
bottom: "conv15" | |
top: "conv16" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn16" | |
type: "BatchNorm" | |
bottom: "conv16" | |
top: "conv16" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale16" | |
type: "Scale" | |
bottom: "conv16" | |
top: "conv16" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu16" | |
type: "ReLU" | |
bottom: "conv16" | |
top: "conv16" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv17" | |
type: "Convolution" | |
bottom: "conv16" | |
top: "conv17" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn17" | |
type: "BatchNorm" | |
bottom: "conv17" | |
top: "conv17" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale17" | |
type: "Scale" | |
bottom: "conv17" | |
top: "conv17" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu17" | |
type: "ReLU" | |
bottom: "conv17" | |
top: "conv17" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv18" | |
type: "Convolution" | |
bottom: "conv17" | |
top: "conv18" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn18" | |
type: "BatchNorm" | |
bottom: "conv18" | |
top: "conv18" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale18" | |
type: "Scale" | |
bottom: "conv18" | |
top: "conv18" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu18" | |
type: "ReLU" | |
bottom: "conv18" | |
top: "conv18" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv19" | |
type: "Convolution" | |
bottom: "conv18" | |
top: "conv19" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn19" | |
type: "BatchNorm" | |
bottom: "conv19" | |
top: "conv19" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale19" | |
type: "Scale" | |
bottom: "conv19" | |
top: "conv19" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu19" | |
type: "ReLU" | |
bottom: "conv19" | |
top: "conv19" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv20" | |
type: "Convolution" | |
bottom: "conv19" | |
top: "conv20" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn20" | |
type: "BatchNorm" | |
bottom: "conv20" | |
top: "conv20" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale20" | |
type: "Scale" | |
bottom: "conv20" | |
top: "conv20" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu20" | |
type: "ReLU" | |
bottom: "conv20" | |
top: "conv20" | |
relu_param { | |
negative_slope: 0.1 | |
} | |
} | |
layer{ | |
name: "conv21" | |
type: "Convolution" | |
bottom: "conv13" | |
top: "conv21" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn21" | |
type: "BatchNorm" | |
bottom: "conv21" | |
top: "conv21" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale21" | |
type: "Scale" | |
bottom: "conv21" | |
top: "conv21" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu21" | |
type: "ReLU" | |
bottom: "conv21" | |
top: "conv21" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer { | |
name: "pool21" | |
type: "Pooling" | |
bottom: "conv21" | |
top: "pool21" | |
pooling_param { | |
pool: AVE | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer { | |
name: "concat2" | |
type: "Concat" | |
bottom: "pool21" | |
bottom: "conv20" | |
top: "concat2" | |
} | |
layer{ | |
name: "conv22" | |
type: "Convolution" | |
bottom: "concat2" | |
top: "conv22" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "bn22" | |
type: "BatchNorm" | |
bottom: "conv22" | |
top: "conv22" | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 0 | |
decay_mult: 0.0 | |
} | |
} | |
layer { | |
name: "scale22" | |
type: "Scale" | |
bottom: "conv22" | |
top: "conv22" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 0.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
scale_param { | |
filler { | |
value: 1 | |
} | |
bias_term: true | |
bias_filler { | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "relu22" | |
type: "ReLU" | |
bottom: "conv22" | |
top: "conv22" | |
relu_param{ | |
negative_slope: 0.1 | |
} | |
} | |
layer { | |
name: "conv23_indoor" | |
type: "Convolution" | |
bottom: "conv22" | |
top: "conv23_indoor" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 125 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.0 | |
} | |
} | |
} | |
#0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828 | |
layer { | |
name: "detection_out" | |
type: "YoloDetectionOutput" | |
bottom: "conv23_indoor" | |
top: "detection_out" | |
include { | |
phase: TEST | |
} | |
yolo_detection_output_param { | |
num_classes: 20 | |
coords: 4 | |
confidence_threshold: 0.01 | |
nms_threshold: 0.45 | |
biases: 1.08 | |
biases: 1.19 | |
biases: 3.42 | |
biases: 4.41 | |
biases: 6.63 | |
biases: 11.38 | |
biases: 9.42 | |
biases: 5.11 | |
biases: 16.62 | |
biases: 10.52 | |
} | |
} | |
layer { | |
name: "detection_eval" | |
type: "DetectionEvaluate" | |
bottom: "detection_out" | |
bottom: "label" | |
top: "detection_eval" | |
include { | |
phase: TEST | |
} | |
detection_evaluate_param { | |
num_classes: 21 | |
background_label_id: 0 | |
overlap_threshold: 0.5 | |
evaluate_difficult_gt: false | |
} | |
} |
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