file

.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+age_googlenet.caffemodel filter=lfs diff=lfs merge=lfs -text
+beauty_resnet.caffemodel filter=lfs diff=lfs merge=lfs -text
+gender_googlenet.caffemodel filter=lfs diff=lfs merge=lfs -text
+shape_predictor_68_face_landmarks.dat filter=lfs diff=lfs merge=lfs -text

GFPGANv1.4.pth

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+size 348632874

age_googlenet.caffemodel

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+version https://git-lfs.github.com/spec/v1
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age_googlenet.prototxt

@@ -0,0 +1,1696 @@
+name: "GoogleNet"
+input: "data"
+input_shape {
+  dim: 1
+  dim: 3
+  dim: 224
+  dim: 224
+}
+layer {
+  name: "conv1/7x7_s2"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1/7x7_s2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 3
+    kernel_size: 7
+    stride: 2
+  }
+}
+layer {
+  name: "conv1/relu_7x7"
+  type: "ReLU"
+  bottom: "conv1/7x7_s2"
+  top: "conv1/7x7_s2"
+}
+layer {
+  name: "pool1/3x3_s2"
+  type: "Pooling"
+  bottom: "conv1/7x7_s2"
+  top: "pool1/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "pool1/norm1"
+  type: "LRN"
+  bottom: "pool1/3x3_s2"
+  top: "pool1/norm1"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+  }
+}
+layer {
+  name: "conv2/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool1/norm1"
+  top: "conv2/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "conv2/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "conv2/3x3_reduce"
+  top: "conv2/3x3_reduce"
+}
+layer {
+  name: "conv2/3x3"
+  type: "Convolution"
+  bottom: "conv2/3x3_reduce"
+  top: "conv2/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "conv2/relu_3x3"
+  type: "ReLU"
+  bottom: "conv2/3x3"
+  top: "conv2/3x3"
+}
+layer {
+  name: "conv2/norm2"
+  type: "LRN"
+  bottom: "conv2/3x3"
+  top: "conv2/norm2"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+  }
+}
+layer {
+  name: "pool2/3x3_s2"
+  type: "Pooling"
+  bottom: "conv2/norm2"
+  top: "pool2/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "inception_3a/1x1"
+  type: "Convolution"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_3a/1x1"
+  top: "inception_3a/1x1"
+}
+layer {
+  name: "inception_3a/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_3a/3x3_reduce"
+  top: "inception_3a/3x3_reduce"
+}
+layer {
+  name: "inception_3a/3x3"
+  type: "Convolution"
+  bottom: "inception_3a/3x3_reduce"
+  top: "inception_3a/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_3a/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_3a/3x3"
+  top: "inception_3a/3x3"
+}
+layer {
+  name: "inception_3a/5x5_reduce"
+  type: "Convolution"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_3a/5x5_reduce"
+  top: "inception_3a/5x5_reduce"
+}
+layer {
+  name: "inception_3a/5x5"
+  type: "Convolution"
+  bottom: "inception_3a/5x5_reduce"
+  top: "inception_3a/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_3a/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_3a/5x5"
+  top: "inception_3a/5x5"
+}
+layer {
+  name: "inception_3a/pool"
+  type: "Pooling"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_3a/pool_proj"
+  type: "Convolution"
+  bottom: "inception_3a/pool"
+  top: "inception_3a/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_3a/pool_proj"
+  top: "inception_3a/pool_proj"
+}
+layer {
+  name: "inception_3a/output"
+  type: "Concat"
+  bottom: "inception_3a/1x1"
+  bottom: "inception_3a/3x3"
+  bottom: "inception_3a/5x5"
+  bottom: "inception_3a/pool_proj"
+  top: "inception_3a/output"
+}
+layer {
+  name: "inception_3b/1x1"
+  type: "Convolution"
+  bottom: "inception_3a/output"
+  top: "inception_3b/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_3b/1x1"
+  top: "inception_3b/1x1"
+}
+layer {
+  name: "inception_3b/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_3a/output"
+  top: "inception_3b/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_3b/3x3_reduce"
+  top: "inception_3b/3x3_reduce"
+}
+layer {
+  name: "inception_3b/3x3"
+  type: "Convolution"
+  bottom: "inception_3b/3x3_reduce"
+  top: "inception_3b/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_3b/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_3b/3x3"
+  top: "inception_3b/3x3"
+}
+layer {
+  name: "inception_3b/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_3a/output"
+  top: "inception_3b/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_3b/5x5_reduce"
+  top: "inception_3b/5x5_reduce"
+}
+layer {
+  name: "inception_3b/5x5"
+  type: "Convolution"
+  bottom: "inception_3b/5x5_reduce"
+  top: "inception_3b/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_3b/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_3b/5x5"
+  top: "inception_3b/5x5"
+}
+layer {
+  name: "inception_3b/pool"
+  type: "Pooling"
+  bottom: "inception_3a/output"
+  top: "inception_3b/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_3b/pool_proj"
+  type: "Convolution"
+  bottom: "inception_3b/pool"
+  top: "inception_3b/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_3b/pool_proj"
+  top: "inception_3b/pool_proj"
+}
+layer {
+  name: "inception_3b/output"
+  type: "Concat"
+  bottom: "inception_3b/1x1"
+  bottom: "inception_3b/3x3"
+  bottom: "inception_3b/5x5"
+  bottom: "inception_3b/pool_proj"
+  top: "inception_3b/output"
+}
+layer {
+  name: "pool3/3x3_s2"
+  type: "Pooling"
+  bottom: "inception_3b/output"
+  top: "pool3/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "inception_4a/1x1"
+  type: "Convolution"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4a/1x1"
+  top: "inception_4a/1x1"
+}
+layer {
+  name: "inception_4a/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4a/3x3_reduce"
+  top: "inception_4a/3x3_reduce"
+}
+layer {
+  name: "inception_4a/3x3"
+  type: "Convolution"
+  bottom: "inception_4a/3x3_reduce"
+  top: "inception_4a/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 208
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4a/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4a/3x3"
+  top: "inception_4a/3x3"
+}
+layer {
+  name: "inception_4a/5x5_reduce"
+  type: "Convolution"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4a/5x5_reduce"
+  top: "inception_4a/5x5_reduce"
+}
+layer {
+  name: "inception_4a/5x5"
+  type: "Convolution"
+  bottom: "inception_4a/5x5_reduce"
+  top: "inception_4a/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 48
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4a/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4a/5x5"
+  top: "inception_4a/5x5"
+}
+layer {
+  name: "inception_4a/pool"
+  type: "Pooling"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4a/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4a/pool"
+  top: "inception_4a/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4a/pool_proj"
+  top: "inception_4a/pool_proj"
+}
+layer {
+  name: "inception_4a/output"
+  type: "Concat"
+  bottom: "inception_4a/1x1"
+  bottom: "inception_4a/3x3"
+  bottom: "inception_4a/5x5"
+  bottom: "inception_4a/pool_proj"
+  top: "inception_4a/output"
+}
+layer {
+  name: "inception_4b/1x1"
+  type: "Convolution"
+  bottom: "inception_4a/output"
+  top: "inception_4b/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 160
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4b/1x1"
+  top: "inception_4b/1x1"
+}
+layer {
+  name: "inception_4b/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4a/output"
+  top: "inception_4b/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 112
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4b/3x3_reduce"
+  top: "inception_4b/3x3_reduce"
+}
+layer {
+  name: "inception_4b/3x3"
+  type: "Convolution"
+  bottom: "inception_4b/3x3_reduce"
+  top: "inception_4b/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 224
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4b/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4b/3x3"
+  top: "inception_4b/3x3"
+}
+layer {
+  name: "inception_4b/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4a/output"
+  top: "inception_4b/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4b/5x5_reduce"
+  top: "inception_4b/5x5_reduce"
+}
+layer {
+  name: "inception_4b/5x5"
+  type: "Convolution"
+  bottom: "inception_4b/5x5_reduce"
+  top: "inception_4b/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4b/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4b/5x5"
+  top: "inception_4b/5x5"
+}
+layer {
+  name: "inception_4b/pool"
+  type: "Pooling"
+  bottom: "inception_4a/output"
+  top: "inception_4b/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4b/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4b/pool"
+  top: "inception_4b/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4b/pool_proj"
+  top: "inception_4b/pool_proj"
+}
+layer {
+  name: "inception_4b/output"
+  type: "Concat"
+  bottom: "inception_4b/1x1"
+  bottom: "inception_4b/3x3"
+  bottom: "inception_4b/5x5"
+  bottom: "inception_4b/pool_proj"
+  top: "inception_4b/output"
+}
+layer {
+  name: "inception_4c/1x1"
+  type: "Convolution"
+  bottom: "inception_4b/output"
+  top: "inception_4c/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4c/1x1"
+  top: "inception_4c/1x1"
+}
+layer {
+  name: "inception_4c/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4b/output"
+  top: "inception_4c/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4c/3x3_reduce"
+  top: "inception_4c/3x3_reduce"
+}
+layer {
+  name: "inception_4c/3x3"
+  type: "Convolution"
+  bottom: "inception_4c/3x3_reduce"
+  top: "inception_4c/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4c/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4c/3x3"
+  top: "inception_4c/3x3"
+}
+layer {
+  name: "inception_4c/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4b/output"
+  top: "inception_4c/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4c/5x5_reduce"
+  top: "inception_4c/5x5_reduce"
+}
+layer {
+  name: "inception_4c/5x5"
+  type: "Convolution"
+  bottom: "inception_4c/5x5_reduce"
+  top: "inception_4c/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4c/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4c/5x5"
+  top: "inception_4c/5x5"
+}
+layer {
+  name: "inception_4c/pool"
+  type: "Pooling"
+  bottom: "inception_4b/output"
+  top: "inception_4c/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4c/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4c/pool"
+  top: "inception_4c/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4c/pool_proj"
+  top: "inception_4c/pool_proj"
+}
+layer {
+  name: "inception_4c/output"
+  type: "Concat"
+  bottom: "inception_4c/1x1"
+  bottom: "inception_4c/3x3"
+  bottom: "inception_4c/5x5"
+  bottom: "inception_4c/pool_proj"
+  top: "inception_4c/output"
+}
+layer {
+  name: "inception_4d/1x1"
+  type: "Convolution"
+  bottom: "inception_4c/output"
+  top: "inception_4d/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 112
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4d/1x1"
+  top: "inception_4d/1x1"
+}
+layer {
+  name: "inception_4d/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4c/output"
+  top: "inception_4d/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 144
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4d/3x3_reduce"
+  top: "inception_4d/3x3_reduce"
+}
+layer {
+  name: "inception_4d/3x3"
+  type: "Convolution"
+  bottom: "inception_4d/3x3_reduce"
+  top: "inception_4d/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 288
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4d/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4d/3x3"
+  top: "inception_4d/3x3"
+}
+layer {
+  name: "inception_4d/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4c/output"
+  top: "inception_4d/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4d/5x5_reduce"
+  top: "inception_4d/5x5_reduce"
+}
+layer {
+  name: "inception_4d/5x5"
+  type: "Convolution"
+  bottom: "inception_4d/5x5_reduce"
+  top: "inception_4d/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4d/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4d/5x5"
+  top: "inception_4d/5x5"
+}
+layer {
+  name: "inception_4d/pool"
+  type: "Pooling"
+  bottom: "inception_4c/output"
+  top: "inception_4d/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4d/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4d/pool"
+  top: "inception_4d/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4d/pool_proj"
+  top: "inception_4d/pool_proj"
+}
+layer {
+  name: "inception_4d/output"
+  type: "Concat"
+  bottom: "inception_4d/1x1"
+  bottom: "inception_4d/3x3"
+  bottom: "inception_4d/5x5"
+  bottom: "inception_4d/pool_proj"
+  top: "inception_4d/output"
+}
+layer {
+  name: "inception_4e/1x1"
+  type: "Convolution"
+  bottom: "inception_4d/output"
+  top: "inception_4e/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4e/1x1"
+  top: "inception_4e/1x1"
+}
+layer {
+  name: "inception_4e/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4d/output"
+  top: "inception_4e/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 160
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4e/3x3_reduce"
+  top: "inception_4e/3x3_reduce"
+}
+layer {
+  name: "inception_4e/3x3"
+  type: "Convolution"
+  bottom: "inception_4e/3x3_reduce"
+  top: "inception_4e/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 320
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4e/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4e/3x3"
+  top: "inception_4e/3x3"
+}
+layer {
+  name: "inception_4e/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4d/output"
+  top: "inception_4e/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4e/5x5_reduce"
+  top: "inception_4e/5x5_reduce"
+}
+layer {
+  name: "inception_4e/5x5"
+  type: "Convolution"
+  bottom: "inception_4e/5x5_reduce"
+  top: "inception_4e/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4e/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4e/5x5"
+  top: "inception_4e/5x5"
+}
+layer {
+  name: "inception_4e/pool"
+  type: "Pooling"
+  bottom: "inception_4d/output"
+  top: "inception_4e/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4e/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4e/pool"
+  top: "inception_4e/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4e/pool_proj"
+  top: "inception_4e/pool_proj"
+}
+layer {
+  name: "inception_4e/output"
+  type: "Concat"
+  bottom: "inception_4e/1x1"
+  bottom: "inception_4e/3x3"
+  bottom: "inception_4e/5x5"
+  bottom: "inception_4e/pool_proj"
+  top: "inception_4e/output"
+}
+layer {
+  name: "pool4/3x3_s2"
+  type: "Pooling"
+  bottom: "inception_4e/output"
+  top: "pool4/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "inception_5a/1x1"
+  type: "Convolution"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_5a/1x1"
+  top: "inception_5a/1x1"
+}
+layer {
+  name: "inception_5a/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 160
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_5a/3x3_reduce"
+  top: "inception_5a/3x3_reduce"
+}
+layer {
+  name: "inception_5a/3x3"
+  type: "Convolution"
+  bottom: "inception_5a/3x3_reduce"
+  top: "inception_5a/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 320
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_5a/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_5a/3x3"
+  top: "inception_5a/3x3"
+}
+layer {
+  name: "inception_5a/5x5_reduce"
+  type: "Convolution"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_5a/5x5_reduce"
+  top: "inception_5a/5x5_reduce"
+}
+layer {
+  name: "inception_5a/5x5"
+  type: "Convolution"
+  bottom: "inception_5a/5x5_reduce"
+  top: "inception_5a/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_5a/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_5a/5x5"
+  top: "inception_5a/5x5"
+}
+layer {
+  name: "inception_5a/pool"
+  type: "Pooling"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_5a/pool_proj"
+  type: "Convolution"
+  bottom: "inception_5a/pool"
+  top: "inception_5a/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_5a/pool_proj"
+  top: "inception_5a/pool_proj"
+}
+layer {
+  name: "inception_5a/output"
+  type: "Concat"
+  bottom: "inception_5a/1x1"
+  bottom: "inception_5a/3x3"
+  bottom: "inception_5a/5x5"
+  bottom: "inception_5a/pool_proj"
+  top: "inception_5a/output"
+}
+layer {
+  name: "inception_5b/1x1"
+  type: "Convolution"
+  bottom: "inception_5a/output"
+  top: "inception_5b/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_5b/1x1"
+  top: "inception_5b/1x1"
+}
+layer {
+  name: "inception_5b/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_5a/output"
+  top: "inception_5b/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_5b/3x3_reduce"
+  top: "inception_5b/3x3_reduce"
+}
+layer {
+  name: "inception_5b/3x3"
+  type: "Convolution"
+  bottom: "inception_5b/3x3_reduce"
+  top: "inception_5b/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_5b/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_5b/3x3"
+  top: "inception_5b/3x3"
+}
+layer {
+  name: "inception_5b/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_5a/output"
+  top: "inception_5b/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_5b/5x5_reduce"
+  top: "inception_5b/5x5_reduce"
+}
+layer {
+  name: "inception_5b/5x5"
+  type: "Convolution"
+  bottom: "inception_5b/5x5_reduce"
+  top: "inception_5b/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_5b/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_5b/5x5"
+  top: "inception_5b/5x5"
+}
+layer {
+  name: "inception_5b/pool"
+  type: "Pooling"
+  bottom: "inception_5a/output"
+  top: "inception_5b/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_5b/pool_proj"
+  type: "Convolution"
+  bottom: "inception_5b/pool"
+  top: "inception_5b/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_5b/pool_proj"
+  top: "inception_5b/pool_proj"
+}
+layer {
+  name: "inception_5b/output"
+  type: "Concat"
+  bottom: "inception_5b/1x1"
+  bottom: "inception_5b/3x3"
+  bottom: "inception_5b/5x5"
+  bottom: "inception_5b/pool_proj"
+  top: "inception_5b/output"
+}
+layer {
+  name: "pool5/7x7_s1"
+  type: "Pooling"
+  bottom: "inception_5b/output"
+  top: "pool5/7x7_s1"
+  pooling_param {
+    pool: AVE
+    kernel_size: 7
+    stride: 1
+  }
+}
+layer {
+  name: "pool5/drop_7x7_s1"
+  type: "Dropout"
+  bottom: "pool5/7x7_s1"
+  top: "pool5/7x7_s1"
+  dropout_param {
+    dropout_ratio: 0.4
+  }
+}
+layer {
+  name: "loss3/classifier_agexgender"
+  type: "InnerProduct"
+  bottom: "pool5/7x7_s1"
+  top: "loss3/classifier_agexgender"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  inner_product_param {
+    num_output: 8
+  }
+}
+layer {
+  name: "loss3/loss3"
+  type: "Softmax"
+  bottom: "loss3/classifier_agexgender"
+  top: "loss3/loss3"
+  loss_weight: 1
+}

beauty_resnet.caffemodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27d1dbdbc27663cda3c222181d207e02a0560e2c6f7fdd6c01ed9bd5db552404
+size 44774443

beauty_resnet.prototxt

@@ -0,0 +1,1231 @@
+name: "ResNet-18-deploy"
+input: "data"
+input_dim: 1
+input_dim: 3
+input_dim: 224
+input_dim: 224
+
+
+
+layer {
+    bottom: "data"
+    top: "conv1"
+    name: "conv1"
+    type: "Convolution"
+    param {
+        name: "conv1_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 64
+        kernel_size: 7
+        pad: 3
+        stride: 2
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "conv1"
+    top: "conv1"
+    name: "bn_conv1"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+}
+
+layer {
+    bottom: "conv1"
+    top: "conv1"
+    name: "scale_conv1"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "conv1"
+    top: "conv1"
+    name: "conv1_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "conv1"
+    top: "pool1"
+    name: "pool1"
+    type: "Pooling"
+    pooling_param {
+        kernel_size: 3
+        stride: 2
+        pool: MAX
+    }
+}
+
+layer {
+    bottom: "pool1"
+    top: "res2a_branch1"
+    name: "res2a_branch1"
+    type: "Convolution"
+    param {
+        name: "res2a_branch1_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 64
+        kernel_size: 1
+        pad: 0
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res2a_branch1"
+    top: "res2a_branch1"
+    name: "bn2a_branch1"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res2a_branch1"
+    top: "res2a_branch1"
+    name: "scale2a_branch1"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "pool1"
+    top: "res2a_branch2a"
+    name: "res2a_branch2a"
+    type: "Convolution"
+    param {
+        name: "res2a_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 64
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res2a_branch2a"
+    top: "res2a_branch2a"
+    name: "bn2a_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res2a_branch2a"
+    top: "res2a_branch2a"
+    name: "scale2a_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res2a_branch2a"
+    top: "res2a_branch2a"
+    name: "res2a_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res2a_branch2a"
+    top: "res2a_branch2b"
+    name: "res2a_branch2b"
+    type: "Convolution"
+    param {
+        name: "res2a_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 64
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res2a_branch2b"
+    top: "res2a_branch2b"
+    name: "bn2a_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res2a_branch2b"
+    top: "res2a_branch2b"
+    name: "scale2a_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res2a_branch1"
+    bottom: "res2a_branch2b"
+    top: "res2a"
+    name: "res2a"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res2a"
+    top: "res2a"
+    name: "res2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res2a"
+    top: "res2b_branch2a"
+    name: "res2b_branch2a"
+    type: "Convolution"
+    param {
+        name: "res2b_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 64
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res2b_branch2a"
+    top: "res2b_branch2a"
+    name: "bn2b_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res2b_branch2a"
+    top: "res2b_branch2a"
+    name: "scale2b_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res2b_branch2a"
+    top: "res2b_branch2a"
+    name: "res2b_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res2b_branch2a"
+    top: "res2b_branch2b"
+    name: "res2b_branch2b"
+    type: "Convolution"
+    param {
+        name: "res2b_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 64
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res2b_branch2b"
+    top: "res2b_branch2b"
+    name: "bn2b_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res2b_branch2b"
+    top: "res2b_branch2b"
+    name: "scale2b_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res2a"
+    bottom: "res2b_branch2b"
+    top: "res2b"
+    name: "res2b"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res2b"
+    top: "res2b"
+    name: "res2b_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res2b"
+    top: "res3a_branch1"
+    name: "res3a_branch1"
+    type: "Convolution"
+    param {
+        name: "res3a_branch1_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 128
+        kernel_size: 1
+        pad: 0
+        stride: 2
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res3a_branch1"
+    top: "res3a_branch1"
+    name: "bn3a_branch1"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res3a_branch1"
+    top: "res3a_branch1"
+    name: "scale3a_branch1"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res2b"
+    top: "res3a_branch2a"
+    name: "res3a_branch2a"
+    type: "Convolution"
+    param {
+        name: "res3a_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 128
+        kernel_size: 3
+        pad: 1
+        stride: 2
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res3a_branch2a"
+    top: "res3a_branch2a"
+    name: "bn3a_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res3a_branch2a"
+    top: "res3a_branch2a"
+    name: "scale3a_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res3a_branch2a"
+    top: "res3a_branch2a"
+    name: "res3a_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res3a_branch2a"
+    top: "res3a_branch2b"
+    name: "res3a_branch2b"
+    type: "Convolution"
+    param {
+        name: "res3a_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 128
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res3a_branch2b"
+    top: "res3a_branch2b"
+    name: "bn3a_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res3a_branch2b"
+    top: "res3a_branch2b"
+    name: "scale3a_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res3a_branch1"
+    bottom: "res3a_branch2b"
+    top: "res3a"
+    name: "res3a"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res3a"
+    top: "res3a"
+    name: "res3a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res3a"
+    top: "res3b_branch2a"
+    name: "res3b_branch2a"
+    type: "Convolution"
+    param {
+        name: "res3b_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 128
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res3b_branch2a"
+    top: "res3b_branch2a"
+    name: "bn3b_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res3b_branch2a"
+    top: "res3b_branch2a"
+    name: "scale3b_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res3b_branch2a"
+    top: "res3b_branch2a"
+    name: "res3b_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res3b_branch2a"
+    top: "res3b_branch2b"
+    name: "res3b_branch2b"
+    type: "Convolution"
+    param {
+        name: "res3b_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 128
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res3b_branch2b"
+    top: "res3b_branch2b"
+    name: "bn3b_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res3b_branch2b"
+    top: "res3b_branch2b"
+    name: "scale3b_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res3a"
+    bottom: "res3b_branch2b"
+    top: "res3b"
+    name: "res3b"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res3b"
+    top: "res3b"
+    name: "res3b_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res3b"
+    top: "res4a_branch1"
+    name: "res4a_branch1"
+    type: "Convolution"
+    param {
+        name: "res4a_branch1_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 256
+        kernel_size: 1
+        pad: 0
+        stride: 2
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res4a_branch1"
+    top: "res4a_branch1"
+    name: "bn4a_branch1"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res4a_branch1"
+    top: "res4a_branch1"
+    name: "scale4a_branch1"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res3b"
+    top: "res4a_branch2a"
+    name: "res4a_branch2a"
+    type: "Convolution"
+    param {
+        name: "res4a_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 256
+        kernel_size: 3
+        pad: 1
+        stride: 2
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res4a_branch2a"
+    top: "res4a_branch2a"
+    name: "bn4a_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res4a_branch2a"
+    top: "res4a_branch2a"
+    name: "scale4a_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res4a_branch2a"
+    top: "res4a_branch2a"
+    name: "res4a_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res4a_branch2a"
+    top: "res4a_branch2b"
+    name: "res4a_branch2b"
+    type: "Convolution"
+    param {
+        name: "res4a_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 256
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res4a_branch2b"
+    top: "res4a_branch2b"
+    name: "bn4a_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res4a_branch2b"
+    top: "res4a_branch2b"
+    name: "scale4a_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res4a_branch1"
+    bottom: "res4a_branch2b"
+    top: "res4a"
+    name: "res4a"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res4a"
+    top: "res4a"
+    name: "res4a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res4a"
+    top: "res4b_branch2a"
+    name: "res4b_branch2a"
+    type: "Convolution"
+    param {
+        name: "res4b_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 256
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res4b_branch2a"
+    top: "res4b_branch2a"
+    name: "bn4b_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res4b_branch2a"
+    top: "res4b_branch2a"
+    name: "scale4b_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res4b_branch2a"
+    top: "res4b_branch2a"
+    name: "res4b_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res4b_branch2a"
+    top: "res4b_branch2b"
+    name: "res4b_branch2b"
+    type: "Convolution"
+    param {
+        name: "res4b_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 256
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res4b_branch2b"
+    top: "res4b_branch2b"
+    name: "bn4b_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res4b_branch2b"
+    top: "res4b_branch2b"
+    name: "scale4b_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res4a"
+    bottom: "res4b_branch2b"
+    top: "res4b"
+    name: "res4b"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res4b"
+    top: "res4b"
+    name: "res4b_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res4b"
+    top: "res5a_branch1"
+    name: "res5a_branch1"
+    type: "Convolution"
+    param {
+        name: "res5a_branch1_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 512
+        kernel_size: 1
+        pad: 0
+        stride: 2
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res5a_branch1"
+    top: "res5a_branch1"
+    name: "bn5a_branch1"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res5a_branch1"
+    top: "res5a_branch1"
+    name: "scale5a_branch1"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res4b"
+    top: "res5a_branch2a"
+    name: "res5a_branch2a"
+    type: "Convolution"
+    param {
+        name: "res5a_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 512
+        kernel_size: 3
+        pad: 1
+        stride: 2
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res5a_branch2a"
+    top: "res5a_branch2a"
+    name: "bn5a_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res5a_branch2a"
+    top: "res5a_branch2a"
+    name: "scale5a_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res5a_branch2a"
+    top: "res5a_branch2a"
+    name: "res5a_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res5a_branch2a"
+    top: "res5a_branch2b"
+    name: "res5a_branch2b"
+    type: "Convolution"
+    param {
+        name: "res5a_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 512
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res5a_branch2b"
+    top: "res5a_branch2b"
+    name: "bn5a_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res5a_branch2b"
+    top: "res5a_branch2b"
+    name: "scale5a_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res5a_branch1"
+    bottom: "res5a_branch2b"
+    top: "res5a"
+    name: "res5a"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res5a"
+    top: "res5a"
+    name: "res5a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res5a"
+    top: "res5b_branch2a"
+    name: "res5b_branch2a"
+    type: "Convolution"
+    param {
+        name: "res5b_branch2a_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 512
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res5b_branch2a"
+    top: "res5b_branch2a"
+    name: "bn5b_branch2a"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res5b_branch2a"
+    top: "res5b_branch2a"
+    name: "scale5b_branch2a"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res5b_branch2a"
+    top: "res5b_branch2a"
+    name: "res5b_branch2a_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res5b_branch2a"
+    top: "res5b_branch2b"
+    name: "res5b_branch2b"
+    type: "Convolution"
+    param {
+        name: "res5b_branch2b_w"
+        lr_mult: 1
+        decay_mult: 1
+    }
+    convolution_param {
+        num_output: 512
+        kernel_size: 3
+        pad: 1
+        stride: 1
+        weight_filler {
+            type: "msra"
+        }
+        bias_term: false
+
+    }
+}
+
+layer {
+    bottom: "res5b_branch2b"
+    top: "res5b_branch2b"
+    name: "bn5b_branch2b"
+    type: "BatchNorm"
+    batch_norm_param {
+#        moving_average_fraction: 0.9 
+        use_global_stats: true
+    }
+ 
+    
+}
+
+layer {
+    bottom: "res5b_branch2b"
+    top: "res5b_branch2b"
+    name: "scale5b_branch2b"
+    type: "Scale"
+    scale_param {
+        bias_term: true
+    }
+}
+
+layer {
+    bottom: "res5a"
+    bottom: "res5b_branch2b"
+    top: "res5b"
+    name: "res5b"
+    type: "Eltwise"
+    eltwise_param {
+        operation: SUM
+    }
+}
+
+layer {
+    bottom: "res5b"
+    top: "res5b"
+    name: "res5b_relu"
+    type: "ReLU"
+}
+
+layer {
+    bottom: "res5b"
+    top: "pool5"
+    name: "pool5"
+    type: "Pooling"
+    pooling_param {
+        kernel_size: 7
+        stride: 1
+        pool: AVE
+    }
+}
+
+
+layer {
+  name: "feat1"
+  type: "InnerProduct"
+  bottom: "pool5"
+  top: "feat1"
+  param {
+    name: "feat1_w"
+  }
+  param {
+    name: "feat1_b"
+  }
+  inner_product_param {
+    num_output: 1
+    weight_filler {
+      type: "msra"
+      std: 0.01
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+

gender_googlenet.caffemodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c4d566857ba21f646fbce054962e50bf4b6da431bce081259d354b05ededc18
+size 41260491

gender_googlenet.prototxt

@@ -0,0 +1,1696 @@
+name: "GoogleNet"
+input: "data"
+input_shape {
+  dim: 1
+  dim: 3
+  dim: 224
+  dim: 224
+}
+layer {
+  name: "conv1/7x7_s2"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1/7x7_s2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 3
+    kernel_size: 7
+    stride: 2
+  }
+}
+layer {
+  name: "conv1/relu_7x7"
+  type: "ReLU"
+  bottom: "conv1/7x7_s2"
+  top: "conv1/7x7_s2"
+}
+layer {
+  name: "pool1/3x3_s2"
+  type: "Pooling"
+  bottom: "conv1/7x7_s2"
+  top: "pool1/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "pool1/norm1"
+  type: "LRN"
+  bottom: "pool1/3x3_s2"
+  top: "pool1/norm1"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+  }
+}
+layer {
+  name: "conv2/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool1/norm1"
+  top: "conv2/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "conv2/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "conv2/3x3_reduce"
+  top: "conv2/3x3_reduce"
+}
+layer {
+  name: "conv2/3x3"
+  type: "Convolution"
+  bottom: "conv2/3x3_reduce"
+  top: "conv2/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "conv2/relu_3x3"
+  type: "ReLU"
+  bottom: "conv2/3x3"
+  top: "conv2/3x3"
+}
+layer {
+  name: "conv2/norm2"
+  type: "LRN"
+  bottom: "conv2/3x3"
+  top: "conv2/norm2"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+  }
+}
+layer {
+  name: "pool2/3x3_s2"
+  type: "Pooling"
+  bottom: "conv2/norm2"
+  top: "pool2/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "inception_3a/1x1"
+  type: "Convolution"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_3a/1x1"
+  top: "inception_3a/1x1"
+}
+layer {
+  name: "inception_3a/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_3a/3x3_reduce"
+  top: "inception_3a/3x3_reduce"
+}
+layer {
+  name: "inception_3a/3x3"
+  type: "Convolution"
+  bottom: "inception_3a/3x3_reduce"
+  top: "inception_3a/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_3a/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_3a/3x3"
+  top: "inception_3a/3x3"
+}
+layer {
+  name: "inception_3a/5x5_reduce"
+  type: "Convolution"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_3a/5x5_reduce"
+  top: "inception_3a/5x5_reduce"
+}
+layer {
+  name: "inception_3a/5x5"
+  type: "Convolution"
+  bottom: "inception_3a/5x5_reduce"
+  top: "inception_3a/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_3a/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_3a/5x5"
+  top: "inception_3a/5x5"
+}
+layer {
+  name: "inception_3a/pool"
+  type: "Pooling"
+  bottom: "pool2/3x3_s2"
+  top: "inception_3a/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_3a/pool_proj"
+  type: "Convolution"
+  bottom: "inception_3a/pool"
+  top: "inception_3a/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3a/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_3a/pool_proj"
+  top: "inception_3a/pool_proj"
+}
+layer {
+  name: "inception_3a/output"
+  type: "Concat"
+  bottom: "inception_3a/1x1"
+  bottom: "inception_3a/3x3"
+  bottom: "inception_3a/5x5"
+  bottom: "inception_3a/pool_proj"
+  top: "inception_3a/output"
+}
+layer {
+  name: "inception_3b/1x1"
+  type: "Convolution"
+  bottom: "inception_3a/output"
+  top: "inception_3b/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_3b/1x1"
+  top: "inception_3b/1x1"
+}
+layer {
+  name: "inception_3b/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_3a/output"
+  top: "inception_3b/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_3b/3x3_reduce"
+  top: "inception_3b/3x3_reduce"
+}
+layer {
+  name: "inception_3b/3x3"
+  type: "Convolution"
+  bottom: "inception_3b/3x3_reduce"
+  top: "inception_3b/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_3b/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_3b/3x3"
+  top: "inception_3b/3x3"
+}
+layer {
+  name: "inception_3b/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_3a/output"
+  top: "inception_3b/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_3b/5x5_reduce"
+  top: "inception_3b/5x5_reduce"
+}
+layer {
+  name: "inception_3b/5x5"
+  type: "Convolution"
+  bottom: "inception_3b/5x5_reduce"
+  top: "inception_3b/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_3b/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_3b/5x5"
+  top: "inception_3b/5x5"
+}
+layer {
+  name: "inception_3b/pool"
+  type: "Pooling"
+  bottom: "inception_3a/output"
+  top: "inception_3b/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_3b/pool_proj"
+  type: "Convolution"
+  bottom: "inception_3b/pool"
+  top: "inception_3b/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_3b/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_3b/pool_proj"
+  top: "inception_3b/pool_proj"
+}
+layer {
+  name: "inception_3b/output"
+  type: "Concat"
+  bottom: "inception_3b/1x1"
+  bottom: "inception_3b/3x3"
+  bottom: "inception_3b/5x5"
+  bottom: "inception_3b/pool_proj"
+  top: "inception_3b/output"
+}
+layer {
+  name: "pool3/3x3_s2"
+  type: "Pooling"
+  bottom: "inception_3b/output"
+  top: "pool3/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "inception_4a/1x1"
+  type: "Convolution"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4a/1x1"
+  top: "inception_4a/1x1"
+}
+layer {
+  name: "inception_4a/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4a/3x3_reduce"
+  top: "inception_4a/3x3_reduce"
+}
+layer {
+  name: "inception_4a/3x3"
+  type: "Convolution"
+  bottom: "inception_4a/3x3_reduce"
+  top: "inception_4a/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 208
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4a/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4a/3x3"
+  top: "inception_4a/3x3"
+}
+layer {
+  name: "inception_4a/5x5_reduce"
+  type: "Convolution"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4a/5x5_reduce"
+  top: "inception_4a/5x5_reduce"
+}
+layer {
+  name: "inception_4a/5x5"
+  type: "Convolution"
+  bottom: "inception_4a/5x5_reduce"
+  top: "inception_4a/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 48
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4a/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4a/5x5"
+  top: "inception_4a/5x5"
+}
+layer {
+  name: "inception_4a/pool"
+  type: "Pooling"
+  bottom: "pool3/3x3_s2"
+  top: "inception_4a/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4a/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4a/pool"
+  top: "inception_4a/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4a/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4a/pool_proj"
+  top: "inception_4a/pool_proj"
+}
+layer {
+  name: "inception_4a/output"
+  type: "Concat"
+  bottom: "inception_4a/1x1"
+  bottom: "inception_4a/3x3"
+  bottom: "inception_4a/5x5"
+  bottom: "inception_4a/pool_proj"
+  top: "inception_4a/output"
+}
+layer {
+  name: "inception_4b/1x1"
+  type: "Convolution"
+  bottom: "inception_4a/output"
+  top: "inception_4b/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 160
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4b/1x1"
+  top: "inception_4b/1x1"
+}
+layer {
+  name: "inception_4b/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4a/output"
+  top: "inception_4b/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 112
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4b/3x3_reduce"
+  top: "inception_4b/3x3_reduce"
+}
+layer {
+  name: "inception_4b/3x3"
+  type: "Convolution"
+  bottom: "inception_4b/3x3_reduce"
+  top: "inception_4b/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 224
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4b/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4b/3x3"
+  top: "inception_4b/3x3"
+}
+layer {
+  name: "inception_4b/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4a/output"
+  top: "inception_4b/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4b/5x5_reduce"
+  top: "inception_4b/5x5_reduce"
+}
+layer {
+  name: "inception_4b/5x5"
+  type: "Convolution"
+  bottom: "inception_4b/5x5_reduce"
+  top: "inception_4b/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4b/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4b/5x5"
+  top: "inception_4b/5x5"
+}
+layer {
+  name: "inception_4b/pool"
+  type: "Pooling"
+  bottom: "inception_4a/output"
+  top: "inception_4b/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4b/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4b/pool"
+  top: "inception_4b/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4b/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4b/pool_proj"
+  top: "inception_4b/pool_proj"
+}
+layer {
+  name: "inception_4b/output"
+  type: "Concat"
+  bottom: "inception_4b/1x1"
+  bottom: "inception_4b/3x3"
+  bottom: "inception_4b/5x5"
+  bottom: "inception_4b/pool_proj"
+  top: "inception_4b/output"
+}
+layer {
+  name: "inception_4c/1x1"
+  type: "Convolution"
+  bottom: "inception_4b/output"
+  top: "inception_4c/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4c/1x1"
+  top: "inception_4c/1x1"
+}
+layer {
+  name: "inception_4c/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4b/output"
+  top: "inception_4c/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4c/3x3_reduce"
+  top: "inception_4c/3x3_reduce"
+}
+layer {
+  name: "inception_4c/3x3"
+  type: "Convolution"
+  bottom: "inception_4c/3x3_reduce"
+  top: "inception_4c/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4c/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4c/3x3"
+  top: "inception_4c/3x3"
+}
+layer {
+  name: "inception_4c/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4b/output"
+  top: "inception_4c/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4c/5x5_reduce"
+  top: "inception_4c/5x5_reduce"
+}
+layer {
+  name: "inception_4c/5x5"
+  type: "Convolution"
+  bottom: "inception_4c/5x5_reduce"
+  top: "inception_4c/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4c/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4c/5x5"
+  top: "inception_4c/5x5"
+}
+layer {
+  name: "inception_4c/pool"
+  type: "Pooling"
+  bottom: "inception_4b/output"
+  top: "inception_4c/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4c/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4c/pool"
+  top: "inception_4c/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4c/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4c/pool_proj"
+  top: "inception_4c/pool_proj"
+}
+layer {
+  name: "inception_4c/output"
+  type: "Concat"
+  bottom: "inception_4c/1x1"
+  bottom: "inception_4c/3x3"
+  bottom: "inception_4c/5x5"
+  bottom: "inception_4c/pool_proj"
+  top: "inception_4c/output"
+}
+layer {
+  name: "inception_4d/1x1"
+  type: "Convolution"
+  bottom: "inception_4c/output"
+  top: "inception_4d/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 112
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4d/1x1"
+  top: "inception_4d/1x1"
+}
+layer {
+  name: "inception_4d/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4c/output"
+  top: "inception_4d/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 144
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4d/3x3_reduce"
+  top: "inception_4d/3x3_reduce"
+}
+layer {
+  name: "inception_4d/3x3"
+  type: "Convolution"
+  bottom: "inception_4d/3x3_reduce"
+  top: "inception_4d/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 288
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4d/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4d/3x3"
+  top: "inception_4d/3x3"
+}
+layer {
+  name: "inception_4d/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4c/output"
+  top: "inception_4d/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4d/5x5_reduce"
+  top: "inception_4d/5x5_reduce"
+}
+layer {
+  name: "inception_4d/5x5"
+  type: "Convolution"
+  bottom: "inception_4d/5x5_reduce"
+  top: "inception_4d/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4d/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4d/5x5"
+  top: "inception_4d/5x5"
+}
+layer {
+  name: "inception_4d/pool"
+  type: "Pooling"
+  bottom: "inception_4c/output"
+  top: "inception_4d/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4d/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4d/pool"
+  top: "inception_4d/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4d/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4d/pool_proj"
+  top: "inception_4d/pool_proj"
+}
+layer {
+  name: "inception_4d/output"
+  type: "Concat"
+  bottom: "inception_4d/1x1"
+  bottom: "inception_4d/3x3"
+  bottom: "inception_4d/5x5"
+  bottom: "inception_4d/pool_proj"
+  top: "inception_4d/output"
+}
+layer {
+  name: "inception_4e/1x1"
+  type: "Convolution"
+  bottom: "inception_4d/output"
+  top: "inception_4e/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_4e/1x1"
+  top: "inception_4e/1x1"
+}
+layer {
+  name: "inception_4e/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_4d/output"
+  top: "inception_4e/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 160
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_4e/3x3_reduce"
+  top: "inception_4e/3x3_reduce"
+}
+layer {
+  name: "inception_4e/3x3"
+  type: "Convolution"
+  bottom: "inception_4e/3x3_reduce"
+  top: "inception_4e/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 320
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_4e/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_4e/3x3"
+  top: "inception_4e/3x3"
+}
+layer {
+  name: "inception_4e/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_4d/output"
+  top: "inception_4e/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_4e/5x5_reduce"
+  top: "inception_4e/5x5_reduce"
+}
+layer {
+  name: "inception_4e/5x5"
+  type: "Convolution"
+  bottom: "inception_4e/5x5_reduce"
+  top: "inception_4e/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_4e/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_4e/5x5"
+  top: "inception_4e/5x5"
+}
+layer {
+  name: "inception_4e/pool"
+  type: "Pooling"
+  bottom: "inception_4d/output"
+  top: "inception_4e/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_4e/pool_proj"
+  type: "Convolution"
+  bottom: "inception_4e/pool"
+  top: "inception_4e/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_4e/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_4e/pool_proj"
+  top: "inception_4e/pool_proj"
+}
+layer {
+  name: "inception_4e/output"
+  type: "Concat"
+  bottom: "inception_4e/1x1"
+  bottom: "inception_4e/3x3"
+  bottom: "inception_4e/5x5"
+  bottom: "inception_4e/pool_proj"
+  top: "inception_4e/output"
+}
+layer {
+  name: "pool4/3x3_s2"
+  type: "Pooling"
+  bottom: "inception_4e/output"
+  top: "pool4/3x3_s2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "inception_5a/1x1"
+  type: "Convolution"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_5a/1x1"
+  top: "inception_5a/1x1"
+}
+layer {
+  name: "inception_5a/3x3_reduce"
+  type: "Convolution"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 160
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_5a/3x3_reduce"
+  top: "inception_5a/3x3_reduce"
+}
+layer {
+  name: "inception_5a/3x3"
+  type: "Convolution"
+  bottom: "inception_5a/3x3_reduce"
+  top: "inception_5a/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 320
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_5a/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_5a/3x3"
+  top: "inception_5a/3x3"
+}
+layer {
+  name: "inception_5a/5x5_reduce"
+  type: "Convolution"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_5a/5x5_reduce"
+  top: "inception_5a/5x5_reduce"
+}
+layer {
+  name: "inception_5a/5x5"
+  type: "Convolution"
+  bottom: "inception_5a/5x5_reduce"
+  top: "inception_5a/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_5a/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_5a/5x5"
+  top: "inception_5a/5x5"
+}
+layer {
+  name: "inception_5a/pool"
+  type: "Pooling"
+  bottom: "pool4/3x3_s2"
+  top: "inception_5a/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_5a/pool_proj"
+  type: "Convolution"
+  bottom: "inception_5a/pool"
+  top: "inception_5a/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5a/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_5a/pool_proj"
+  top: "inception_5a/pool_proj"
+}
+layer {
+  name: "inception_5a/output"
+  type: "Concat"
+  bottom: "inception_5a/1x1"
+  bottom: "inception_5a/3x3"
+  bottom: "inception_5a/5x5"
+  bottom: "inception_5a/pool_proj"
+  top: "inception_5a/output"
+}
+layer {
+  name: "inception_5b/1x1"
+  type: "Convolution"
+  bottom: "inception_5a/output"
+  top: "inception_5b/1x1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_1x1"
+  type: "ReLU"
+  bottom: "inception_5b/1x1"
+  top: "inception_5b/1x1"
+}
+layer {
+  name: "inception_5b/3x3_reduce"
+  type: "Convolution"
+  bottom: "inception_5a/output"
+  top: "inception_5b/3x3_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_3x3_reduce"
+  type: "ReLU"
+  bottom: "inception_5b/3x3_reduce"
+  top: "inception_5b/3x3_reduce"
+}
+layer {
+  name: "inception_5b/3x3"
+  type: "Convolution"
+  bottom: "inception_5b/3x3_reduce"
+  top: "inception_5b/3x3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "inception_5b/relu_3x3"
+  type: "ReLU"
+  bottom: "inception_5b/3x3"
+  top: "inception_5b/3x3"
+}
+layer {
+  name: "inception_5b/5x5_reduce"
+  type: "Convolution"
+  bottom: "inception_5a/output"
+  top: "inception_5b/5x5_reduce"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_5x5_reduce"
+  type: "ReLU"
+  bottom: "inception_5b/5x5_reduce"
+  top: "inception_5b/5x5_reduce"
+}
+layer {
+  name: "inception_5b/5x5"
+  type: "Convolution"
+  bottom: "inception_5b/5x5_reduce"
+  top: "inception_5b/5x5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 2
+    kernel_size: 5
+  }
+}
+layer {
+  name: "inception_5b/relu_5x5"
+  type: "ReLU"
+  bottom: "inception_5b/5x5"
+  top: "inception_5b/5x5"
+}
+layer {
+  name: "inception_5b/pool"
+  type: "Pooling"
+  bottom: "inception_5a/output"
+  top: "inception_5b/pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_5b/pool_proj"
+  type: "Convolution"
+  bottom: "inception_5b/pool"
+  top: "inception_5b/pool_proj"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "inception_5b/relu_pool_proj"
+  type: "ReLU"
+  bottom: "inception_5b/pool_proj"
+  top: "inception_5b/pool_proj"
+}
+layer {
+  name: "inception_5b/output"
+  type: "Concat"
+  bottom: "inception_5b/1x1"
+  bottom: "inception_5b/3x3"
+  bottom: "inception_5b/5x5"
+  bottom: "inception_5b/pool_proj"
+  top: "inception_5b/output"
+}
+layer {
+  name: "pool5/7x7_s1"
+  type: "Pooling"
+  bottom: "inception_5b/output"
+  top: "pool5/7x7_s1"
+  pooling_param {
+    pool: AVE
+    kernel_size: 7
+    stride: 1
+  }
+}
+layer {
+  name: "pool5/drop_7x7_s1"
+  type: "Dropout"
+  bottom: "pool5/7x7_s1"
+  top: "pool5/7x7_s1"
+  dropout_param {
+    dropout_ratio: 0.4
+  }
+}
+layer {
+  name: "loss3/classifier_agexgender"
+  type: "InnerProduct"
+  bottom: "pool5/7x7_s1"
+  top: "loss3/classifier_agexgender"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  inner_product_param {
+    num_output: 2
+  }
+}
+layer {
+  name: "loss3/loss3"
+  type: "Softmax"
+  bottom: "loss3/classifier_agexgender"
+  top: "loss3/loss3"
+  loss_weight: 1
+}

opencv_face_detector.pbtxt

@@ -0,0 +1,2362 @@
+node {
+  name: "data"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
+node {
+  name: "data_bn/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "data:0"
+  input: "data_bn/gamma"
+  input: "data_bn/beta"
+  input: "data_bn/mean"
+  input: "data_bn/std"
+  attr {
+    key: "epsilon"
+    value {
+      f: 1.00099996416e-05
+    }
+  }
+}
+node {
+  name: "data_scale/Mul"
+  op: "Mul"
+  input: "data_bn/FusedBatchNorm"
+  input: "data_scale/mul"
+}
+node {
+  name: "data_scale/BiasAdd"
+  op: "BiasAdd"
+  input: "data_scale/Mul"
+  input: "data_scale/add"
+}
+node {
+  name: "SpaceToBatchND/block_shape"
+  op: "Const"
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+          dim {
+            size: 2
+          }
+        }
+        int_val: 1
+        int_val: 1
+      }
+    }
+  }
+}
+node {
+  name: "SpaceToBatchND/paddings"
+  op: "Const"
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+          dim {
+            size: 2
+          }
+          dim {
+            size: 2
+          }
+        }
+        int_val: 3
+        int_val: 3
+        int_val: 3
+        int_val: 3
+      }
+    }
+  }
+}
+node {
+  name: "Pad"
+  op: "SpaceToBatchND"
+  input: "data_scale/BiasAdd"
+  input: "SpaceToBatchND/block_shape"
+  input: "SpaceToBatchND/paddings"
+}
+node {
+  name: "conv1_h/Conv2D"
+  op: "Conv2D"
+  input: "Pad"
+  input: "conv1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "VALID"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv1_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv1_h/Conv2D"
+  input: "conv1_h/bias"
+}
+node {
+  name: "BatchToSpaceND"
+  op: "BatchToSpaceND"
+  input: "conv1_h/BiasAdd"
+}
+node {
+  name: "conv1_bn_h/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "BatchToSpaceND"
+  input: "conv1_bn_h/gamma"
+  input: "conv1_bn_h/beta"
+  input: "conv1_bn_h/mean"
+  input: "conv1_bn_h/std"
+  attr {
+    key: "epsilon"
+    value {
+      f: 1.00099996416e-05
+    }
+  }
+}
+node {
+  name: "conv1_scale_h/Mul"
+  op: "Mul"
+  input: "conv1_bn_h/FusedBatchNorm"
+  input: "conv1_scale_h/mul"
+}
+node {
+  name: "conv1_scale_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv1_scale_h/Mul"
+  input: "conv1_scale_h/add"
+}
+node {
+  name: "Relu"
+  op: "Relu"
+  input: "conv1_scale_h/BiasAdd"
+}
+node {
+  name: "conv1_pool/MaxPool"
+  op: "MaxPool"
+  input: "Relu"
+  attr {
+    key: "ksize"
+    value {
+      list {
+        i: 1
+        i: 3
+        i: 3
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_64_1_conv1_h/Conv2D"
+  op: "Conv2D"
+  input: "conv1_pool/MaxPool"
+  input: "layer_64_1_conv1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_64_1_bn2_h/FusedBatchNorm"
+  op: "BiasAdd"
+  input: "layer_64_1_conv1_h/Conv2D"
+  input: "layer_64_1_conv1_h/Conv2D_bn_offset"
+}
+node {
+  name: "layer_64_1_scale2_h/Mul"
+  op: "Mul"
+  input: "layer_64_1_bn2_h/FusedBatchNorm"
+  input: "layer_64_1_scale2_h/mul"
+}
+node {
+  name: "layer_64_1_scale2_h/BiasAdd"
+  op: "BiasAdd"
+  input: "layer_64_1_scale2_h/Mul"
+  input: "layer_64_1_scale2_h/add"
+}
+node {
+  name: "Relu_1"
+  op: "Relu"
+  input: "layer_64_1_scale2_h/BiasAdd"
+}
+node {
+  name: "layer_64_1_conv2_h/Conv2D"
+  op: "Conv2D"
+  input: "Relu_1"
+  input: "layer_64_1_conv2_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "add"
+  op: "Add"
+  input: "layer_64_1_conv2_h/Conv2D"
+  input: "conv1_pool/MaxPool"
+}
+node {
+  name: "layer_128_1_bn1_h/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "add"
+  input: "layer_128_1_bn1_h/gamma"
+  input: "layer_128_1_bn1_h/beta"
+  input: "layer_128_1_bn1_h/mean"
+  input: "layer_128_1_bn1_h/std"
+  attr {
+    key: "epsilon"
+    value {
+      f: 1.00099996416e-05
+    }
+  }
+}
+node {
+  name: "layer_128_1_scale1_h/Mul"
+  op: "Mul"
+  input: "layer_128_1_bn1_h/FusedBatchNorm"
+  input: "layer_128_1_scale1_h/mul"
+}
+node {
+  name: "layer_128_1_scale1_h/BiasAdd"
+  op: "BiasAdd"
+  input: "layer_128_1_scale1_h/Mul"
+  input: "layer_128_1_scale1_h/add"
+}
+node {
+  name: "Relu_2"
+  op: "Relu"
+  input: "layer_128_1_scale1_h/BiasAdd"
+}
+node {
+  name: "layer_128_1_conv_expand_h/Conv2D"
+  op: "Conv2D"
+  input: "Relu_2"
+  input: "layer_128_1_conv_expand_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_128_1_conv1_h/Conv2D"
+  op: "Conv2D"
+  input: "Relu_2"
+  input: "layer_128_1_conv1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_128_1_bn2/FusedBatchNorm"
+  op: "BiasAdd"
+  input: "layer_128_1_conv1_h/Conv2D"
+  input: "layer_128_1_conv1_h/Conv2D_bn_offset"
+}
+node {
+  name: "layer_128_1_scale2/Mul"
+  op: "Mul"
+  input: "layer_128_1_bn2/FusedBatchNorm"
+  input: "layer_128_1_scale2/mul"
+}
+node {
+  name: "layer_128_1_scale2/BiasAdd"
+  op: "BiasAdd"
+  input: "layer_128_1_scale2/Mul"
+  input: "layer_128_1_scale2/add"
+}
+node {
+  name: "Relu_3"
+  op: "Relu"
+  input: "layer_128_1_scale2/BiasAdd"
+}
+node {
+  name: "layer_128_1_conv2/Conv2D"
+  op: "Conv2D"
+  input: "Relu_3"
+  input: "layer_128_1_conv2/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "add_1"
+  op: "Add"
+  input: "layer_128_1_conv2/Conv2D"
+  input: "layer_128_1_conv_expand_h/Conv2D"
+}
+node {
+  name: "layer_256_1_bn1/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "add_1"
+  input: "layer_256_1_bn1/gamma"
+  input: "layer_256_1_bn1/beta"
+  input: "layer_256_1_bn1/mean"
+  input: "layer_256_1_bn1/std"
+  attr {
+    key: "epsilon"
+    value {
+      f: 1.00099996416e-05
+    }
+  }
+}
+node {
+  name: "layer_256_1_scale1/Mul"
+  op: "Mul"
+  input: "layer_256_1_bn1/FusedBatchNorm"
+  input: "layer_256_1_scale1/mul"
+}
+node {
+  name: "layer_256_1_scale1/BiasAdd"
+  op: "BiasAdd"
+  input: "layer_256_1_scale1/Mul"
+  input: "layer_256_1_scale1/add"
+}
+node {
+  name: "Relu_4"
+  op: "Relu"
+  input: "layer_256_1_scale1/BiasAdd"
+}
+node {
+  name: "SpaceToBatchND_1/paddings"
+  op: "Const"
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+          dim {
+            size: 2
+          }
+          dim {
+            size: 2
+          }
+        }
+        int_val: 1
+        int_val: 1
+        int_val: 1
+        int_val: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_256_1_conv_expand/Conv2D"
+  op: "Conv2D"
+  input: "Relu_4"
+  input: "layer_256_1_conv_expand/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv4_3_norm/l2_normalize"
+  op: "L2Normalize"
+  input: "Relu_4:0"
+  input: "conv4_3_norm/l2_normalize/Sum/reduction_indices"
+}
+node {
+  name: "conv4_3_norm/mul_1"
+  op: "Mul"
+  input: "conv4_3_norm/l2_normalize"
+  input: "conv4_3_norm/mul"
+}
+node {
+  name: "conv4_3_norm_mbox_loc/Conv2D"
+  op: "Conv2D"
+  input: "conv4_3_norm/mul_1"
+  input: "conv4_3_norm_mbox_loc/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv4_3_norm_mbox_loc/BiasAdd"
+  op: "BiasAdd"
+  input: "conv4_3_norm_mbox_loc/Conv2D"
+  input: "conv4_3_norm_mbox_loc/bias"
+}
+node {
+  name: "flatten/Reshape"
+  op: "Flatten"
+  input: "conv4_3_norm_mbox_loc/BiasAdd"
+}
+node {
+  name: "conv4_3_norm_mbox_conf/Conv2D"
+  op: "Conv2D"
+  input: "conv4_3_norm/mul_1"
+  input: "conv4_3_norm_mbox_conf/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv4_3_norm_mbox_conf/BiasAdd"
+  op: "BiasAdd"
+  input: "conv4_3_norm_mbox_conf/Conv2D"
+  input: "conv4_3_norm_mbox_conf/bias"
+}
+node {
+  name: "flatten_6/Reshape"
+  op: "Flatten"
+  input: "conv4_3_norm_mbox_conf/BiasAdd"
+}
+node {
+  name: "Pad_1"
+  op: "SpaceToBatchND"
+  input: "Relu_4"
+  input: "SpaceToBatchND/block_shape"
+  input: "SpaceToBatchND_1/paddings"
+}
+node {
+  name: "layer_256_1_conv1/Conv2D"
+  op: "Conv2D"
+  input: "Pad_1"
+  input: "layer_256_1_conv1/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "VALID"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_256_1_bn2/FusedBatchNorm"
+  op: "BiasAdd"
+  input: "layer_256_1_conv1/Conv2D"
+  input: "layer_256_1_conv1/Conv2D_bn_offset"
+}
+node {
+  name: "BatchToSpaceND_1"
+  op: "BatchToSpaceND"
+  input: "layer_256_1_bn2/FusedBatchNorm"
+}
+node {
+  name: "layer_256_1_scale2/Mul"
+  op: "Mul"
+  input: "BatchToSpaceND_1"
+  input: "layer_256_1_scale2/mul"
+}
+node {
+  name: "layer_256_1_scale2/BiasAdd"
+  op: "BiasAdd"
+  input: "layer_256_1_scale2/Mul"
+  input: "layer_256_1_scale2/add"
+}
+node {
+  name: "Relu_5"
+  op: "Relu"
+  input: "layer_256_1_scale2/BiasAdd"
+}
+node {
+  name: "layer_256_1_conv2/Conv2D"
+  op: "Conv2D"
+  input: "Relu_5"
+  input: "layer_256_1_conv2/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "add_2"
+  op: "Add"
+  input: "layer_256_1_conv2/Conv2D"
+  input: "layer_256_1_conv_expand/Conv2D"
+}
+node {
+  name: "layer_512_1_bn1/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "add_2"
+  input: "layer_512_1_bn1/gamma"
+  input: "layer_512_1_bn1/beta"
+  input: "layer_512_1_bn1/mean"
+  input: "layer_512_1_bn1/std"
+  attr {
+    key: "epsilon"
+    value {
+      f: 1.00099996416e-05
+    }
+  }
+}
+node {
+  name: "layer_512_1_scale1/Mul"
+  op: "Mul"
+  input: "layer_512_1_bn1/FusedBatchNorm"
+  input: "layer_512_1_scale1/mul"
+}
+node {
+  name: "layer_512_1_scale1/BiasAdd"
+  op: "BiasAdd"
+  input: "layer_512_1_scale1/Mul"
+  input: "layer_512_1_scale1/add"
+}
+node {
+  name: "Relu_6"
+  op: "Relu"
+  input: "layer_512_1_scale1/BiasAdd"
+}
+node {
+  name: "layer_512_1_conv_expand_h/Conv2D"
+  op: "Conv2D"
+  input: "Relu_6"
+  input: "layer_512_1_conv_expand_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_512_1_conv1_h/Conv2D"
+  op: "Conv2D"
+  input: "Relu_6"
+  input: "layer_512_1_conv1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_512_1_bn2_h/FusedBatchNorm"
+  op: "BiasAdd"
+  input: "layer_512_1_conv1_h/Conv2D"
+  input: "layer_512_1_conv1_h/Conv2D_bn_offset"
+}
+node {
+  name: "layer_512_1_scale2_h/Mul"
+  op: "Mul"
+  input: "layer_512_1_bn2_h/FusedBatchNorm"
+  input: "layer_512_1_scale2_h/mul"
+}
+node {
+  name: "layer_512_1_scale2_h/BiasAdd"
+  op: "BiasAdd"
+  input: "layer_512_1_scale2_h/Mul"
+  input: "layer_512_1_scale2_h/add"
+}
+node {
+  name: "Relu_7"
+  op: "Relu"
+  input: "layer_512_1_scale2_h/BiasAdd"
+}
+node {
+  name: "layer_512_1_conv2_h/convolution/SpaceToBatchND"
+  op: "SpaceToBatchND"
+  input: "Relu_7"
+  input: "layer_512_1_conv2_h/convolution/SpaceToBatchND/block_shape"
+  input: "layer_512_1_conv2_h/convolution/SpaceToBatchND/paddings"
+}
+node {
+  name: "layer_512_1_conv2_h/convolution"
+  op: "Conv2D"
+  input: "layer_512_1_conv2_h/convolution/SpaceToBatchND"
+  input: "layer_512_1_conv2_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "VALID"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "layer_512_1_conv2_h/convolution/BatchToSpaceND"
+  op: "BatchToSpaceND"
+  input: "layer_512_1_conv2_h/convolution"
+  input: "layer_512_1_conv2_h/convolution/BatchToSpaceND/block_shape"
+  input: "layer_512_1_conv2_h/convolution/BatchToSpaceND/crops"
+}
+node {
+  name: "add_3"
+  op: "Add"
+  input: "layer_512_1_conv2_h/convolution/BatchToSpaceND"
+  input: "layer_512_1_conv_expand_h/Conv2D"
+}
+node {
+  name: "last_bn_h/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "add_3"
+  input: "last_bn_h/gamma"
+  input: "last_bn_h/beta"
+  input: "last_bn_h/mean"
+  input: "last_bn_h/std"
+  attr {
+    key: "epsilon"
+    value {
+      f: 1.00099996416e-05
+    }
+  }
+}
+node {
+  name: "last_scale_h/Mul"
+  op: "Mul"
+  input: "last_bn_h/FusedBatchNorm"
+  input: "last_scale_h/mul"
+}
+node {
+  name: "last_scale_h/BiasAdd"
+  op: "BiasAdd"
+  input: "last_scale_h/Mul"
+  input: "last_scale_h/add"
+}
+node {
+  name: "last_relu"
+  op: "Relu"
+  input: "last_scale_h/BiasAdd"
+}
+node {
+  name: "conv6_1_h/Conv2D"
+  op: "Conv2D"
+  input: "last_relu"
+  input: "conv6_1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv6_1_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv6_1_h/Conv2D"
+  input: "conv6_1_h/bias"
+}
+node {
+  name: "conv6_1_h/Relu"
+  op: "Relu"
+  input: "conv6_1_h/BiasAdd"
+}
+node {
+  name: "conv6_2_h/Conv2D"
+  op: "Conv2D"
+  input: "conv6_1_h/Relu"
+  input: "conv6_2_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv6_2_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv6_2_h/Conv2D"
+  input: "conv6_2_h/bias"
+}
+node {
+  name: "conv6_2_h/Relu"
+  op: "Relu"
+  input: "conv6_2_h/BiasAdd"
+}
+node {
+  name: "conv7_1_h/Conv2D"
+  op: "Conv2D"
+  input: "conv6_2_h/Relu"
+  input: "conv7_1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv7_1_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv7_1_h/Conv2D"
+  input: "conv7_1_h/bias"
+}
+node {
+  name: "conv7_1_h/Relu"
+  op: "Relu"
+  input: "conv7_1_h/BiasAdd"
+}
+node {
+  name: "Pad_2"
+  op: "SpaceToBatchND"
+  input: "conv7_1_h/Relu"
+  input: "SpaceToBatchND/block_shape"
+  input: "SpaceToBatchND_1/paddings"
+}
+node {
+  name: "conv7_2_h/Conv2D"
+  op: "Conv2D"
+  input: "Pad_2"
+  input: "conv7_2_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "VALID"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv7_2_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv7_2_h/Conv2D"
+  input: "conv7_2_h/bias"
+}
+node {
+  name: "BatchToSpaceND_2"
+  op: "BatchToSpaceND"
+  input: "conv7_2_h/BiasAdd"
+}
+node {
+  name: "conv7_2_h/Relu"
+  op: "Relu"
+  input: "BatchToSpaceND_2"
+}
+node {
+  name: "conv8_1_h/Conv2D"
+  op: "Conv2D"
+  input: "conv7_2_h/Relu"
+  input: "conv8_1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv8_1_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv8_1_h/Conv2D"
+  input: "conv8_1_h/bias"
+}
+node {
+  name: "conv8_1_h/Relu"
+  op: "Relu"
+  input: "conv8_1_h/BiasAdd"
+}
+node {
+  name: "conv8_2_h/Conv2D"
+  op: "Conv2D"
+  input: "conv8_1_h/Relu"
+  input: "conv8_2_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv8_2_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv8_2_h/Conv2D"
+  input: "conv8_2_h/bias"
+}
+node {
+  name: "conv8_2_h/Relu"
+  op: "Relu"
+  input: "conv8_2_h/BiasAdd"
+}
+node {
+  name: "conv9_1_h/Conv2D"
+  op: "Conv2D"
+  input: "conv8_2_h/Relu"
+  input: "conv9_1_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv9_1_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv9_1_h/Conv2D"
+  input: "conv9_1_h/bias"
+}
+node {
+  name: "conv9_1_h/Relu"
+  op: "Relu"
+  input: "conv9_1_h/BiasAdd"
+}
+node {
+  name: "conv9_2_h/Conv2D"
+  op: "Conv2D"
+  input: "conv9_1_h/Relu"
+  input: "conv9_2_h/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv9_2_h/BiasAdd"
+  op: "BiasAdd"
+  input: "conv9_2_h/Conv2D"
+  input: "conv9_2_h/bias"
+}
+node {
+  name: "conv9_2_h/Relu"
+  op: "Relu"
+  input: "conv9_2_h/BiasAdd"
+}
+node {
+  name: "conv9_2_mbox_loc/Conv2D"
+  op: "Conv2D"
+  input: "conv9_2_h/Relu"
+  input: "conv9_2_mbox_loc/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv9_2_mbox_loc/BiasAdd"
+  op: "BiasAdd"
+  input: "conv9_2_mbox_loc/Conv2D"
+  input: "conv9_2_mbox_loc/bias"
+}
+node {
+  name: "flatten_5/Reshape"
+  op: "Flatten"
+  input: "conv9_2_mbox_loc/BiasAdd"
+}
+node {
+  name: "conv9_2_mbox_conf/Conv2D"
+  op: "Conv2D"
+  input: "conv9_2_h/Relu"
+  input: "conv9_2_mbox_conf/weights"
+  attr {
+    key: "dilations"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "conv9_2_mbox_conf/BiasAdd"
+  op: "BiasAdd"
+  input: "conv9_2_mbox_conf/Conv2D"
+  input: "conv9_2_mbox_conf/bias"
+}
+node {
+  name: "flatten_11/Reshape"
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+}
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+}
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+}
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+  input: "conv7_2_mbox_loc/weights"
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+  input: "conv7_2_mbox_loc/bias"
+}
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+}
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+  input: "conv7_2_mbox_conf/weights"
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+}
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+}
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+  input: "conv6_2_mbox_loc/weights"
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+  input: "conv6_2_mbox_loc/bias"
+}
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+}
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+  input: "conv6_2_h/Relu"
+  input: "conv6_2_mbox_conf/weights"
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+}
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+  op: "BiasAdd"
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+  input: "conv6_2_mbox_conf/bias"
+}
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+}
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+  input: "fc7_mbox_loc/weights"
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+}
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+}
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+}
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