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503 lines
6.7 KiB
Plaintext
503 lines
6.7 KiB
Plaintext
#
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# This prototxt is based on voc-fcn32s/val.prototxt file from
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# https://github.com/shelhamer/fcn.berkeleyvision.org, which is distributed under
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# Caffe (BSD) license:
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# http://caffe.berkeleyvision.org/model_zoo.html#bvlc-model-license
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#
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name: "voc-fcn32s"
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input: "data"
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input_dim: 1
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input_dim: 3
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input_dim: 500
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input_dim: 500
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layer {
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name: "conv1_1"
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type: "Convolution"
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bottom: "data"
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top: "conv1_1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 64
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pad: 100
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu1_1"
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type: "ReLU"
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bottom: "conv1_1"
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top: "conv1_1"
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}
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layer {
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name: "conv1_2"
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type: "Convolution"
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bottom: "conv1_1"
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top: "conv1_2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 64
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu1_2"
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type: "ReLU"
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bottom: "conv1_2"
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top: "conv1_2"
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}
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layer {
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name: "pool1"
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type: "Pooling"
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bottom: "conv1_2"
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top: "pool1"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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}
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}
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layer {
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name: "conv2_1"
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type: "Convolution"
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bottom: "pool1"
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top: "conv2_1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 128
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu2_1"
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type: "ReLU"
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bottom: "conv2_1"
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top: "conv2_1"
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}
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layer {
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name: "conv2_2"
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type: "Convolution"
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bottom: "conv2_1"
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top: "conv2_2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 128
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu2_2"
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type: "ReLU"
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bottom: "conv2_2"
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top: "conv2_2"
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}
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layer {
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name: "pool2"
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type: "Pooling"
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bottom: "conv2_2"
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top: "pool2"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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}
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}
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layer {
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name: "conv3_1"
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type: "Convolution"
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bottom: "pool2"
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top: "conv3_1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 256
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu3_1"
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type: "ReLU"
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bottom: "conv3_1"
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top: "conv3_1"
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}
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layer {
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name: "conv3_2"
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type: "Convolution"
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bottom: "conv3_1"
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top: "conv3_2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 256
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu3_2"
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type: "ReLU"
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bottom: "conv3_2"
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top: "conv3_2"
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}
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layer {
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name: "conv3_3"
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type: "Convolution"
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bottom: "conv3_2"
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top: "conv3_3"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 256
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu3_3"
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type: "ReLU"
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bottom: "conv3_3"
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top: "conv3_3"
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}
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layer {
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name: "pool3"
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type: "Pooling"
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bottom: "conv3_3"
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top: "pool3"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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}
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}
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layer {
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name: "conv4_1"
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type: "Convolution"
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bottom: "pool3"
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top: "conv4_1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 512
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu4_1"
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type: "ReLU"
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bottom: "conv4_1"
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top: "conv4_1"
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}
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layer {
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name: "conv4_2"
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type: "Convolution"
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bottom: "conv4_1"
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top: "conv4_2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 512
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu4_2"
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type: "ReLU"
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bottom: "conv4_2"
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top: "conv4_2"
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}
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layer {
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name: "conv4_3"
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type: "Convolution"
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bottom: "conv4_2"
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top: "conv4_3"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 512
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu4_3"
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type: "ReLU"
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bottom: "conv4_3"
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top: "conv4_3"
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}
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layer {
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name: "pool4"
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type: "Pooling"
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bottom: "conv4_3"
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top: "pool4"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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}
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}
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layer {
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name: "conv5_1"
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type: "Convolution"
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bottom: "pool4"
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top: "conv5_1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 512
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu5_1"
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type: "ReLU"
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bottom: "conv5_1"
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top: "conv5_1"
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}
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layer {
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name: "conv5_2"
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type: "Convolution"
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bottom: "conv5_1"
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top: "conv5_2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 512
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu5_2"
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type: "ReLU"
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bottom: "conv5_2"
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top: "conv5_2"
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}
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layer {
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name: "conv5_3"
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type: "Convolution"
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bottom: "conv5_2"
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top: "conv5_3"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 512
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pad: 1
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "relu5_3"
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type: "ReLU"
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bottom: "conv5_3"
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top: "conv5_3"
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}
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layer {
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name: "pool5"
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type: "Pooling"
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bottom: "conv5_3"
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top: "pool5"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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}
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}
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layer {
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name: "fc6"
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type: "Convolution"
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bottom: "pool5"
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top: "fc6"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 4096
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pad: 0
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kernel_size: 7
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stride: 1
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}
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}
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layer {
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name: "relu6"
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type: "ReLU"
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bottom: "fc6"
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top: "fc6"
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}
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layer {
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name: "fc7"
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type: "Convolution"
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bottom: "fc6"
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top: "fc7"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 4096
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pad: 0
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kernel_size: 1
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stride: 1
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}
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}
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layer {
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name: "relu7"
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type: "ReLU"
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bottom: "fc7"
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top: "fc7"
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}
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layer {
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name: "score_fr"
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type: "Convolution"
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bottom: "fc7"
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top: "score_fr"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 21
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pad: 0
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kernel_size: 1
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}
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}
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layer {
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name: "upscore"
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type: "Deconvolution"
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bottom: "score_fr"
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top: "upscore"
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param {
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lr_mult: 0
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}
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convolution_param {
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num_output: 21
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bias_term: false
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kernel_size: 64
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stride: 32
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}
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}
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layer {
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name: "score"
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type: "Crop"
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bottom: "upscore"
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bottom: "data"
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top: "score"
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crop_param {
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axis: 2
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offset: 19
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}
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}
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