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opencv_contrib/modules/dnn_objdetect/samples/data/SqueezeNet_deploy.prototxt

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# SqueezeNet architecture for image classification on ImageNet dataset
name: "SqueezeNet"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 416
input_dim: 416
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
convolution_param {
num_output: 96
kernel_size: 7
stride: 2
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_conv1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "conv1"
top: "conv1"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fire2_squeeze"
type: "Convolution"
bottom: "pool1"
top: "fire2_squeeze"
convolution_param {
num_output: 16
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire2_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire2_squeeze"
top: "fire2_squeeze"
}
layer {
name: "fire2_expand_1x1"
type: "Convolution"
bottom: "fire2_squeeze"
top: "fire2_expand_1x1"
convolution_param {
num_output: 64
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire2_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire2_expand_1x1"
top: "fire2_expand_1x1"
}
layer {
name: "fire2_expand_3x3"
type: "Convolution"
bottom: "fire2_squeeze"
top: "fire2_expand_3x3"
convolution_param {
num_output: 64
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire2_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire2_expand_3x3"
top: "fire2_expand_3x3"
}
layer {
name: "fire2"
type: "Concat"
bottom: "fire2_expand_1x1"
bottom: "fire2_expand_3x3"
top: "fire2"
concat_param {
axis: 1
}
}
layer {
name: "fire3_squeeze"
type: "Convolution"
bottom: "fire2"
top: "fire3_squeeze"
convolution_param {
num_output: 16
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire3_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire3_squeeze"
top: "fire3_squeeze"
}
layer {
name: "fire3_expand_1x1"
type: "Convolution"
bottom: "fire3_squeeze"
top: "fire3_expand_1x1"
convolution_param {
num_output: 64
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire3_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire3_expand_1x1"
top: "fire3_expand_1x1"
}
layer {
name: "fire3_expand_3x3"
type: "Convolution"
bottom: "fire3_squeeze"
top: "fire3_expand_3x3"
convolution_param {
num_output: 64
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire3_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire3_expand_3x3"
top: "fire3_expand_3x3"
}
layer {
name: "fire3"
type: "Concat"
bottom: "fire3_expand_1x1"
bottom: "fire3_expand_3x3"
top: "fire3"
concat_param {
axis: 1
}
}
layer {
name: "fire4_squeeze"
type: "Convolution"
bottom: "fire3"
top: "fire4_squeeze"
convolution_param {
num_output: 32
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire4_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire4_squeeze"
top: "fire4_squeeze"
}
layer {
name: "fire4_expand_1x1"
type: "Convolution"
bottom: "fire4_squeeze"
top: "fire4_expand_1x1"
convolution_param {
num_output: 128
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire4_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire4_expand_1x1"
top: "fire4_expand_1x1"
}
layer {
name: "fire4_expand_3x3"
type: "Convolution"
bottom: "fire4_squeeze"
top: "fire4_expand_3x3"
convolution_param {
num_output: 128
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire4_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire4_expand_3x3"
top: "fire4_expand_3x3"
}
layer {
name: "fire4"
type: "Concat"
bottom: "fire4_expand_1x1"
bottom: "fire4_expand_3x3"
top: "fire4"
concat_param {
axis: 1
}
}
layer {
name: "pool4"
type: "Pooling"
bottom: "fire4"
top: "pool4"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fire5_squeeze"
type: "Convolution"
bottom: "pool4"
top: "fire5_squeeze"
convolution_param {
num_output: 32
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire5_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire5_squeeze"
top: "fire5_squeeze"
}
layer {
name: "fire5_expand_1x1"
type: "Convolution"
bottom: "fire5_squeeze"
top: "fire5_expand_1x1"
convolution_param {
num_output: 128
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire5_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire5_expand_1x1"
top: "fire5_expand_1x1"
}
layer {
name: "fire5_expand_3x3"
type: "Convolution"
bottom: "fire5_squeeze"
top: "fire5_expand_3x3"
convolution_param {
num_output: 128
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire5_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire5_expand_3x3"
top: "fire5_expand_3x3"
}
layer {
name: "fire5"
type: "Concat"
bottom: "fire5_expand_1x1"
bottom: "fire5_expand_3x3"
top: "fire5"
concat_param {
axis: 1
}
}
layer {
name: "fire6_squeeze"
type: "Convolution"
bottom: "fire5"
top: "fire6_squeeze"
convolution_param {
num_output: 48
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire6_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire6_squeeze"
top: "fire6_squeeze"
}
layer {
name: "fire6_expand_1x1"
type: "Convolution"
bottom: "fire6_squeeze"
top: "fire6_expand_1x1"
convolution_param {
num_output: 192
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire6_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire6_expand_1x1"
top: "fire6_expand_1x1"
}
layer {
name: "fire6_expand_3x3"
type: "Convolution"
bottom: "fire6_squeeze"
top: "fire6_expand_3x3"
convolution_param {
num_output: 192
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire6_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire6_expand_3x3"
top: "fire6_expand_3x3"
}
layer {
name: "fire6"
type: "Concat"
bottom: "fire6_expand_1x1"
bottom: "fire6_expand_3x3"
top: "fire6"
concat_param {
axis: 1
}
}
layer {
name: "fire7_squeeze"
type: "Convolution"
bottom: "fire6"
top: "fire7_squeeze"
convolution_param {
num_output: 48
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire7_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire7_squeeze"
top: "fire7_squeeze"
}
layer {
name: "fire7_expand_1x1"
type: "Convolution"
bottom: "fire7_squeeze"
top: "fire7_expand_1x1"
convolution_param {
num_output: 192
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire7_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire7_expand_1x1"
top: "fire7_expand_1x1"
}
layer {
name: "fire7_expand_3x3"
type: "Convolution"
bottom: "fire7_squeeze"
top: "fire7_expand_3x3"
convolution_param {
num_output: 192
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire7_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire7_expand_3x3"
top: "fire7_expand_3x3"
}
layer {
name: "fire7"
type: "Concat"
bottom: "fire7_expand_1x1"
bottom: "fire7_expand_3x3"
top: "fire7"
concat_param {
axis: 1
}
}
layer {
name: "fire8_squeeze"
type: "Convolution"
bottom: "fire7"
top: "fire8_squeeze"
convolution_param {
num_output: 64
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire8_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire8_squeeze"
top: "fire8_squeeze"
}
layer {
name: "fire8_expand_1x1"
type: "Convolution"
bottom: "fire8_squeeze"
top: "fire8_expand_1x1"
convolution_param {
num_output: 256
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire8_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire8_expand_1x1"
top: "fire8_expand_1x1"
}
layer {
name: "fire8_expand_3x3"
type: "Convolution"
bottom: "fire8_squeeze"
top: "fire8_expand_3x3"
convolution_param {
num_output: 256
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire8_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire8_expand_3x3"
top: "fire8_expand_3x3"
}
layer {
name: "fire8"
type: "Concat"
bottom: "fire8_expand_1x1"
bottom: "fire8_expand_3x3"
top: "fire8"
concat_param {
axis: 1
}
}
layer {
name: "pool8"
type: "Pooling"
bottom: "fire8"
top: "pool8"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fire9_squeeze"
type: "Convolution"
bottom: "pool8"
top: "fire9_squeeze"
convolution_param {
num_output: 64
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire9_squeeze"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire9_squeeze"
top: "fire9_squeeze"
}
layer {
name: "fire9_expand_1x1"
type: "Convolution"
bottom: "fire9_squeeze"
top: "fire9_expand_1x1"
convolution_param {
num_output: 256
kernel_size: 1
stride: 1
pad: 0
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire9_expand_1x1"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire9_expand_1x1"
top: "fire9_expand_1x1"
}
layer {
name: "fire9_expand_3x3"
type: "Convolution"
bottom: "fire9_squeeze"
top: "fire9_expand_3x3"
convolution_param {
num_output: 256
kernel_size: 3
stride: 1
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_fire9_expand_3x3"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "fire9_expand_3x3"
top: "fire9_expand_3x3"
}
layer {
name: "fire9"
type: "Concat"
bottom: "fire9_expand_1x1"
bottom: "fire9_expand_3x3"
top: "fire9"
concat_param {
axis: 1
}
}
layer {
name: "conv10"
type: "Convolution"
bottom: "fire9"
top: "conv10"
convolution_param {
num_output: 1000
kernel_size: 1
stride: 1
weight_filler {
type: "gaussian"
mean: 0.0
std: 0.01
}
bias_filler {
type: "constant"
value: 0.01
}
}
}
layer {
name: "rect_conv10"
type: "ReLU"
relu_param {
negative_slope: 0.01
}
bottom: "conv10"
top: "conv10"
}
layer {
name: "pool10"
type: "Pooling"
bottom: "conv10"
top: "pool10"
pooling_param {
pool: AVE
global_pooling: true
}
}
layer {
name: "predictions"
type: "Softmax"
bottom: "pool10"
top: "predictions"
softmax_param {
axis: 1
}
}