Add NSFW detection

3 files changed, 3499 insertions, 0 deletions

diff --git a/nsfw_model/LICENSE.md b/nsfw_model/LICENSE.md
new file mode 100644
index 0000000..d1124b0
--- /dev/null
+++ b/nsfw_model/LICENSE.md
@@ -0,0 +1,11 @@
+
+Copyright 2016, Yahoo Inc.
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
diff --git a/nsfw_model/deploy.prototxt b/nsfw_model/deploy.prototxt
new file mode 100644
index 0000000..16fb53e
--- /dev/null
+++ b/nsfw_model/deploy.prototxt
@@ -0,0 +1,3488 @@
+name: "ResNet_50_1by2_nsfw"
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } }
+}
+layer {
+  name: "conv_1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv_1"
+  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
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_1"
+  type: "BatchNorm"
+  bottom: "conv_1"
+  top: "conv_1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_1"
+  type: "Scale"
+  bottom: "conv_1"
+  top: "conv_1"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_1"
+  type: "ReLU"
+  bottom: "conv_1"
+  top: "conv_1"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv_1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "conv_stage0_block0_proj_shortcut"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv_stage0_block0_proj_shortcut"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block0_proj_shortcut"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block0_proj_shortcut"
+  top: "conv_stage0_block0_proj_shortcut"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block0_proj_shortcut"
+  type: "Scale"
+  bottom: "conv_stage0_block0_proj_shortcut"
+  top: "conv_stage0_block0_proj_shortcut"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "conv_stage0_block0_branch2a"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv_stage0_block0_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block0_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block0_branch2a"
+  top: "conv_stage0_block0_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block0_branch2a"
+  type: "Scale"
+  bottom: "conv_stage0_block0_branch2a"
+  top: "conv_stage0_block0_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage0_block0_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage0_block0_branch2a"
+  top: "conv_stage0_block0_branch2a"
+}
+layer {
+  name: "conv_stage0_block0_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage0_block0_branch2a"
+  top: "conv_stage0_block0_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block0_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block0_branch2b"
+  top: "conv_stage0_block0_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block0_branch2b"
+  type: "Scale"
+  bottom: "conv_stage0_block0_branch2b"
+  top: "conv_stage0_block0_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage0_block0_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage0_block0_branch2b"
+  top: "conv_stage0_block0_branch2b"
+}
+layer {
+  name: "conv_stage0_block0_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage0_block0_branch2b"
+  top: "conv_stage0_block0_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block0_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block0_branch2c"
+  top: "conv_stage0_block0_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block0_branch2c"
+  type: "Scale"
+  bottom: "conv_stage0_block0_branch2c"
+  top: "conv_stage0_block0_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage0_block0"
+  type: "Eltwise"
+  bottom: "conv_stage0_block0_proj_shortcut"
+  bottom: "conv_stage0_block0_branch2c"
+  top: "eltwise_stage0_block0"
+}
+layer {
+  name: "relu_stage0_block0"
+  type: "ReLU"
+  bottom: "eltwise_stage0_block0"
+  top: "eltwise_stage0_block0"
+}
+layer {
+  name: "conv_stage0_block1_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage0_block0"
+  top: "conv_stage0_block1_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block1_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block1_branch2a"
+  top: "conv_stage0_block1_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block1_branch2a"
+  type: "Scale"
+  bottom: "conv_stage0_block1_branch2a"
+  top: "conv_stage0_block1_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage0_block1_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage0_block1_branch2a"
+  top: "conv_stage0_block1_branch2a"
+}
+layer {
+  name: "conv_stage0_block1_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage0_block1_branch2a"
+  top: "conv_stage0_block1_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block1_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block1_branch2b"
+  top: "conv_stage0_block1_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block1_branch2b"
+  type: "Scale"
+  bottom: "conv_stage0_block1_branch2b"
+  top: "conv_stage0_block1_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage0_block1_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage0_block1_branch2b"
+  top: "conv_stage0_block1_branch2b"
+}
+layer {
+  name: "conv_stage0_block1_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage0_block1_branch2b"
+  top: "conv_stage0_block1_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block1_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block1_branch2c"
+  top: "conv_stage0_block1_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block1_branch2c"
+  type: "Scale"
+  bottom: "conv_stage0_block1_branch2c"
+  top: "conv_stage0_block1_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage0_block1"
+  type: "Eltwise"
+  bottom: "eltwise_stage0_block0"
+  bottom: "conv_stage0_block1_branch2c"
+  top: "eltwise_stage0_block1"
+}
+layer {
+  name: "relu_stage0_block1"
+  type: "ReLU"
+  bottom: "eltwise_stage0_block1"
+  top: "eltwise_stage0_block1"
+}
+layer {
+  name: "conv_stage0_block2_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage0_block1"
+  top: "conv_stage0_block2_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block2_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block2_branch2a"
+  top: "conv_stage0_block2_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block2_branch2a"
+  type: "Scale"
+  bottom: "conv_stage0_block2_branch2a"
+  top: "conv_stage0_block2_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage0_block2_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage0_block2_branch2a"
+  top: "conv_stage0_block2_branch2a"
+}
+layer {
+  name: "conv_stage0_block2_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage0_block2_branch2a"
+  top: "conv_stage0_block2_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 32
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block2_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block2_branch2b"
+  top: "conv_stage0_block2_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block2_branch2b"
+  type: "Scale"
+  bottom: "conv_stage0_block2_branch2b"
+  top: "conv_stage0_block2_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage0_block2_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage0_block2_branch2b"
+  top: "conv_stage0_block2_branch2b"
+}
+layer {
+  name: "conv_stage0_block2_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage0_block2_branch2b"
+  top: "conv_stage0_block2_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage0_block2_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage0_block2_branch2c"
+  top: "conv_stage0_block2_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage0_block2_branch2c"
+  type: "Scale"
+  bottom: "conv_stage0_block2_branch2c"
+  top: "conv_stage0_block2_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage0_block2"
+  type: "Eltwise"
+  bottom: "eltwise_stage0_block1"
+  bottom: "conv_stage0_block2_branch2c"
+  top: "eltwise_stage0_block2"
+}
+layer {
+  name: "relu_stage0_block2"
+  type: "ReLU"
+  bottom: "eltwise_stage0_block2"
+  top: "eltwise_stage0_block2"
+}
+layer {
+  name: "conv_stage1_block0_proj_shortcut"
+  type: "Convolution"
+  bottom: "eltwise_stage0_block2"
+  top: "conv_stage1_block0_proj_shortcut"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block0_proj_shortcut"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block0_proj_shortcut"
+  top: "conv_stage1_block0_proj_shortcut"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block0_proj_shortcut"
+  type: "Scale"
+  bottom: "conv_stage1_block0_proj_shortcut"
+  top: "conv_stage1_block0_proj_shortcut"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "conv_stage1_block0_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage0_block2"
+  top: "conv_stage1_block0_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 0
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block0_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block0_branch2a"
+  top: "conv_stage1_block0_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block0_branch2a"
+  type: "Scale"
+  bottom: "conv_stage1_block0_branch2a"
+  top: "conv_stage1_block0_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block0_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage1_block0_branch2a"
+  top: "conv_stage1_block0_branch2a"
+}
+layer {
+  name: "conv_stage1_block0_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage1_block0_branch2a"
+  top: "conv_stage1_block0_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block0_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block0_branch2b"
+  top: "conv_stage1_block0_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block0_branch2b"
+  type: "Scale"
+  bottom: "conv_stage1_block0_branch2b"
+  top: "conv_stage1_block0_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block0_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage1_block0_branch2b"
+  top: "conv_stage1_block0_branch2b"
+}
+layer {
+  name: "conv_stage1_block0_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage1_block0_branch2b"
+  top: "conv_stage1_block0_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block0_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block0_branch2c"
+  top: "conv_stage1_block0_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block0_branch2c"
+  type: "Scale"
+  bottom: "conv_stage1_block0_branch2c"
+  top: "conv_stage1_block0_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage1_block0"
+  type: "Eltwise"
+  bottom: "conv_stage1_block0_proj_shortcut"
+  bottom: "conv_stage1_block0_branch2c"
+  top: "eltwise_stage1_block0"
+}
+layer {
+  name: "relu_stage1_block0"
+  type: "ReLU"
+  bottom: "eltwise_stage1_block0"
+  top: "eltwise_stage1_block0"
+}
+layer {
+  name: "conv_stage1_block1_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage1_block0"
+  top: "conv_stage1_block1_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block1_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block1_branch2a"
+  top: "conv_stage1_block1_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block1_branch2a"
+  type: "Scale"
+  bottom: "conv_stage1_block1_branch2a"
+  top: "conv_stage1_block1_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block1_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage1_block1_branch2a"
+  top: "conv_stage1_block1_branch2a"
+}
+layer {
+  name: "conv_stage1_block1_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage1_block1_branch2a"
+  top: "conv_stage1_block1_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block1_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block1_branch2b"
+  top: "conv_stage1_block1_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block1_branch2b"
+  type: "Scale"
+  bottom: "conv_stage1_block1_branch2b"
+  top: "conv_stage1_block1_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block1_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage1_block1_branch2b"
+  top: "conv_stage1_block1_branch2b"
+}
+layer {
+  name: "conv_stage1_block1_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage1_block1_branch2b"
+  top: "conv_stage1_block1_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block1_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block1_branch2c"
+  top: "conv_stage1_block1_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block1_branch2c"
+  type: "Scale"
+  bottom: "conv_stage1_block1_branch2c"
+  top: "conv_stage1_block1_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage1_block1"
+  type: "Eltwise"
+  bottom: "eltwise_stage1_block0"
+  bottom: "conv_stage1_block1_branch2c"
+  top: "eltwise_stage1_block1"
+}
+layer {
+  name: "relu_stage1_block1"
+  type: "ReLU"
+  bottom: "eltwise_stage1_block1"
+  top: "eltwise_stage1_block1"
+}
+layer {
+  name: "conv_stage1_block2_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage1_block1"
+  top: "conv_stage1_block2_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block2_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block2_branch2a"
+  top: "conv_stage1_block2_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block2_branch2a"
+  type: "Scale"
+  bottom: "conv_stage1_block2_branch2a"
+  top: "conv_stage1_block2_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block2_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage1_block2_branch2a"
+  top: "conv_stage1_block2_branch2a"
+}
+layer {
+  name: "conv_stage1_block2_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage1_block2_branch2a"
+  top: "conv_stage1_block2_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block2_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block2_branch2b"
+  top: "conv_stage1_block2_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block2_branch2b"
+  type: "Scale"
+  bottom: "conv_stage1_block2_branch2b"
+  top: "conv_stage1_block2_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block2_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage1_block2_branch2b"
+  top: "conv_stage1_block2_branch2b"
+}
+layer {
+  name: "conv_stage1_block2_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage1_block2_branch2b"
+  top: "conv_stage1_block2_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block2_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block2_branch2c"
+  top: "conv_stage1_block2_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block2_branch2c"
+  type: "Scale"
+  bottom: "conv_stage1_block2_branch2c"
+  top: "conv_stage1_block2_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage1_block2"
+  type: "Eltwise"
+  bottom: "eltwise_stage1_block1"
+  bottom: "conv_stage1_block2_branch2c"
+  top: "eltwise_stage1_block2"
+}
+layer {
+  name: "relu_stage1_block2"
+  type: "ReLU"
+  bottom: "eltwise_stage1_block2"
+  top: "eltwise_stage1_block2"
+}
+layer {
+  name: "conv_stage1_block3_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage1_block2"
+  top: "conv_stage1_block3_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block3_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block3_branch2a"
+  top: "conv_stage1_block3_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block3_branch2a"
+  type: "Scale"
+  bottom: "conv_stage1_block3_branch2a"
+  top: "conv_stage1_block3_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block3_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage1_block3_branch2a"
+  top: "conv_stage1_block3_branch2a"
+}
+layer {
+  name: "conv_stage1_block3_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage1_block3_branch2a"
+  top: "conv_stage1_block3_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block3_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block3_branch2b"
+  top: "conv_stage1_block3_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block3_branch2b"
+  type: "Scale"
+  bottom: "conv_stage1_block3_branch2b"
+  top: "conv_stage1_block3_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage1_block3_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage1_block3_branch2b"
+  top: "conv_stage1_block3_branch2b"
+}
+layer {
+  name: "conv_stage1_block3_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage1_block3_branch2b"
+  top: "conv_stage1_block3_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage1_block3_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage1_block3_branch2c"
+  top: "conv_stage1_block3_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage1_block3_branch2c"
+  type: "Scale"
+  bottom: "conv_stage1_block3_branch2c"
+  top: "conv_stage1_block3_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage1_block3"
+  type: "Eltwise"
+  bottom: "eltwise_stage1_block2"
+  bottom: "conv_stage1_block3_branch2c"
+  top: "eltwise_stage1_block3"
+}
+layer {
+  name: "relu_stage1_block3"
+  type: "ReLU"
+  bottom: "eltwise_stage1_block3"
+  top: "eltwise_stage1_block3"
+}
+layer {
+  name: "conv_stage2_block0_proj_shortcut"
+  type: "Convolution"
+  bottom: "eltwise_stage1_block3"
+  top: "conv_stage2_block0_proj_shortcut"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 0
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block0_proj_shortcut"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block0_proj_shortcut"
+  top: "conv_stage2_block0_proj_shortcut"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block0_proj_shortcut"
+  type: "Scale"
+  bottom: "conv_stage2_block0_proj_shortcut"
+  top: "conv_stage2_block0_proj_shortcut"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "conv_stage2_block0_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage1_block3"
+  top: "conv_stage2_block0_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block0_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block0_branch2a"
+  top: "conv_stage2_block0_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block0_branch2a"
+  type: "Scale"
+  bottom: "conv_stage2_block0_branch2a"
+  top: "conv_stage2_block0_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block0_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage2_block0_branch2a"
+  top: "conv_stage2_block0_branch2a"
+}
+layer {
+  name: "conv_stage2_block0_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage2_block0_branch2a"
+  top: "conv_stage2_block0_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block0_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block0_branch2b"
+  top: "conv_stage2_block0_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block0_branch2b"
+  type: "Scale"
+  bottom: "conv_stage2_block0_branch2b"
+  top: "conv_stage2_block0_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block0_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage2_block0_branch2b"
+  top: "conv_stage2_block0_branch2b"
+}
+layer {
+  name: "conv_stage2_block0_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage2_block0_branch2b"
+  top: "conv_stage2_block0_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block0_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block0_branch2c"
+  top: "conv_stage2_block0_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block0_branch2c"
+  type: "Scale"
+  bottom: "conv_stage2_block0_branch2c"
+  top: "conv_stage2_block0_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage2_block0"
+  type: "Eltwise"
+  bottom: "conv_stage2_block0_proj_shortcut"
+  bottom: "conv_stage2_block0_branch2c"
+  top: "eltwise_stage2_block0"
+}
+layer {
+  name: "relu_stage2_block0"
+  type: "ReLU"
+  bottom: "eltwise_stage2_block0"
+  top: "eltwise_stage2_block0"
+}
+layer {
+  name: "conv_stage2_block1_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage2_block0"
+  top: "conv_stage2_block1_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block1_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block1_branch2a"
+  top: "conv_stage2_block1_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block1_branch2a"
+  type: "Scale"
+  bottom: "conv_stage2_block1_branch2a"
+  top: "conv_stage2_block1_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block1_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage2_block1_branch2a"
+  top: "conv_stage2_block1_branch2a"
+}
+layer {
+  name: "conv_stage2_block1_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage2_block1_branch2a"
+  top: "conv_stage2_block1_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block1_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block1_branch2b"
+  top: "conv_stage2_block1_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block1_branch2b"
+  type: "Scale"
+  bottom: "conv_stage2_block1_branch2b"
+  top: "conv_stage2_block1_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block1_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage2_block1_branch2b"
+  top: "conv_stage2_block1_branch2b"
+}
+layer {
+  name: "conv_stage2_block1_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage2_block1_branch2b"
+  top: "conv_stage2_block1_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block1_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block1_branch2c"
+  top: "conv_stage2_block1_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block1_branch2c"
+  type: "Scale"
+  bottom: "conv_stage2_block1_branch2c"
+  top: "conv_stage2_block1_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage2_block1"
+  type: "Eltwise"
+  bottom: "eltwise_stage2_block0"
+  bottom: "conv_stage2_block1_branch2c"
+  top: "eltwise_stage2_block1"
+}
+layer {
+  name: "relu_stage2_block1"
+  type: "ReLU"
+  bottom: "eltwise_stage2_block1"
+  top: "eltwise_stage2_block1"
+}
+layer {
+  name: "conv_stage2_block2_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage2_block1"
+  top: "conv_stage2_block2_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block2_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block2_branch2a"
+  top: "conv_stage2_block2_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block2_branch2a"
+  type: "Scale"
+  bottom: "conv_stage2_block2_branch2a"
+  top: "conv_stage2_block2_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block2_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage2_block2_branch2a"
+  top: "conv_stage2_block2_branch2a"
+}
+layer {
+  name: "conv_stage2_block2_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage2_block2_branch2a"
+  top: "conv_stage2_block2_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block2_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block2_branch2b"
+  top: "conv_stage2_block2_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block2_branch2b"
+  type: "Scale"
+  bottom: "conv_stage2_block2_branch2b"
+  top: "conv_stage2_block2_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block2_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage2_block2_branch2b"
+  top: "conv_stage2_block2_branch2b"
+}
+layer {
+  name: "conv_stage2_block2_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage2_block2_branch2b"
+  top: "conv_stage2_block2_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block2_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block2_branch2c"
+  top: "conv_stage2_block2_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block2_branch2c"
+  type: "Scale"
+  bottom: "conv_stage2_block2_branch2c"
+  top: "conv_stage2_block2_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage2_block2"
+  type: "Eltwise"
+  bottom: "eltwise_stage2_block1"
+  bottom: "conv_stage2_block2_branch2c"
+  top: "eltwise_stage2_block2"
+}
+layer {
+  name: "relu_stage2_block2"
+  type: "ReLU"
+  bottom: "eltwise_stage2_block2"
+  top: "eltwise_stage2_block2"
+}
+layer {
+  name: "conv_stage2_block3_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage2_block2"
+  top: "conv_stage2_block3_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block3_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block3_branch2a"
+  top: "conv_stage2_block3_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block3_branch2a"
+  type: "Scale"
+  bottom: "conv_stage2_block3_branch2a"
+  top: "conv_stage2_block3_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block3_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage2_block3_branch2a"
+  top: "conv_stage2_block3_branch2a"
+}
+layer {
+  name: "conv_stage2_block3_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage2_block3_branch2a"
+  top: "conv_stage2_block3_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block3_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block3_branch2b"
+  top: "conv_stage2_block3_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block3_branch2b"
+  type: "Scale"
+  bottom: "conv_stage2_block3_branch2b"
+  top: "conv_stage2_block3_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block3_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage2_block3_branch2b"
+  top: "conv_stage2_block3_branch2b"
+}
+layer {
+  name: "conv_stage2_block3_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage2_block3_branch2b"
+  top: "conv_stage2_block3_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block3_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block3_branch2c"
+  top: "conv_stage2_block3_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block3_branch2c"
+  type: "Scale"
+  bottom: "conv_stage2_block3_branch2c"
+  top: "conv_stage2_block3_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage2_block3"
+  type: "Eltwise"
+  bottom: "eltwise_stage2_block2"
+  bottom: "conv_stage2_block3_branch2c"
+  top: "eltwise_stage2_block3"
+}
+layer {
+  name: "relu_stage2_block3"
+  type: "ReLU"
+  bottom: "eltwise_stage2_block3"
+  top: "eltwise_stage2_block3"
+}
+layer {
+  name: "conv_stage2_block4_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage2_block3"
+  top: "conv_stage2_block4_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block4_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block4_branch2a"
+  top: "conv_stage2_block4_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block4_branch2a"
+  type: "Scale"
+  bottom: "conv_stage2_block4_branch2a"
+  top: "conv_stage2_block4_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block4_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage2_block4_branch2a"
+  top: "conv_stage2_block4_branch2a"
+}
+layer {
+  name: "conv_stage2_block4_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage2_block4_branch2a"
+  top: "conv_stage2_block4_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block4_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block4_branch2b"
+  top: "conv_stage2_block4_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block4_branch2b"
+  type: "Scale"
+  bottom: "conv_stage2_block4_branch2b"
+  top: "conv_stage2_block4_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block4_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage2_block4_branch2b"
+  top: "conv_stage2_block4_branch2b"
+}
+layer {
+  name: "conv_stage2_block4_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage2_block4_branch2b"
+  top: "conv_stage2_block4_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block4_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block4_branch2c"
+  top: "conv_stage2_block4_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block4_branch2c"
+  type: "Scale"
+  bottom: "conv_stage2_block4_branch2c"
+  top: "conv_stage2_block4_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage2_block4"
+  type: "Eltwise"
+  bottom: "eltwise_stage2_block3"
+  bottom: "conv_stage2_block4_branch2c"
+  top: "eltwise_stage2_block4"
+}
+layer {
+  name: "relu_stage2_block4"
+  type: "ReLU"
+  bottom: "eltwise_stage2_block4"
+  top: "eltwise_stage2_block4"
+}
+layer {
+  name: "conv_stage2_block5_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage2_block4"
+  top: "conv_stage2_block5_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block5_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block5_branch2a"
+  top: "conv_stage2_block5_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block5_branch2a"
+  type: "Scale"
+  bottom: "conv_stage2_block5_branch2a"
+  top: "conv_stage2_block5_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block5_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage2_block5_branch2a"
+  top: "conv_stage2_block5_branch2a"
+}
+layer {
+  name: "conv_stage2_block5_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage2_block5_branch2a"
+  top: "conv_stage2_block5_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block5_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block5_branch2b"
+  top: "conv_stage2_block5_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block5_branch2b"
+  type: "Scale"
+  bottom: "conv_stage2_block5_branch2b"
+  top: "conv_stage2_block5_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage2_block5_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage2_block5_branch2b"
+  top: "conv_stage2_block5_branch2b"
+}
+layer {
+  name: "conv_stage2_block5_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage2_block5_branch2b"
+  top: "conv_stage2_block5_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage2_block5_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage2_block5_branch2c"
+  top: "conv_stage2_block5_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage2_block5_branch2c"
+  type: "Scale"
+  bottom: "conv_stage2_block5_branch2c"
+  top: "conv_stage2_block5_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage2_block5"
+  type: "Eltwise"
+  bottom: "eltwise_stage2_block4"
+  bottom: "conv_stage2_block5_branch2c"
+  top: "eltwise_stage2_block5"
+}
+layer {
+  name: "relu_stage2_block5"
+  type: "ReLU"
+  bottom: "eltwise_stage2_block5"
+  top: "eltwise_stage2_block5"
+}
+layer {
+  name: "conv_stage3_block0_proj_shortcut"
+  type: "Convolution"
+  bottom: "eltwise_stage2_block5"
+  top: "conv_stage3_block0_proj_shortcut"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 0
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block0_proj_shortcut"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block0_proj_shortcut"
+  top: "conv_stage3_block0_proj_shortcut"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block0_proj_shortcut"
+  type: "Scale"
+  bottom: "conv_stage3_block0_proj_shortcut"
+  top: "conv_stage3_block0_proj_shortcut"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "conv_stage3_block0_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage2_block5"
+  top: "conv_stage3_block0_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block0_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block0_branch2a"
+  top: "conv_stage3_block0_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block0_branch2a"
+  type: "Scale"
+  bottom: "conv_stage3_block0_branch2a"
+  top: "conv_stage3_block0_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage3_block0_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage3_block0_branch2a"
+  top: "conv_stage3_block0_branch2a"
+}
+layer {
+  name: "conv_stage3_block0_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage3_block0_branch2a"
+  top: "conv_stage3_block0_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block0_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block0_branch2b"
+  top: "conv_stage3_block0_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block0_branch2b"
+  type: "Scale"
+  bottom: "conv_stage3_block0_branch2b"
+  top: "conv_stage3_block0_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage3_block0_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage3_block0_branch2b"
+  top: "conv_stage3_block0_branch2b"
+}
+layer {
+  name: "conv_stage3_block0_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage3_block0_branch2b"
+  top: "conv_stage3_block0_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block0_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block0_branch2c"
+  top: "conv_stage3_block0_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block0_branch2c"
+  type: "Scale"
+  bottom: "conv_stage3_block0_branch2c"
+  top: "conv_stage3_block0_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage3_block0"
+  type: "Eltwise"
+  bottom: "conv_stage3_block0_proj_shortcut"
+  bottom: "conv_stage3_block0_branch2c"
+  top: "eltwise_stage3_block0"
+}
+layer {
+  name: "relu_stage3_block0"
+  type: "ReLU"
+  bottom: "eltwise_stage3_block0"
+  top: "eltwise_stage3_block0"
+}
+layer {
+  name: "conv_stage3_block1_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage3_block0"
+  top: "conv_stage3_block1_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block1_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block1_branch2a"
+  top: "conv_stage3_block1_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block1_branch2a"
+  type: "Scale"
+  bottom: "conv_stage3_block1_branch2a"
+  top: "conv_stage3_block1_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage3_block1_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage3_block1_branch2a"
+  top: "conv_stage3_block1_branch2a"
+}
+layer {
+  name: "conv_stage3_block1_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage3_block1_branch2a"
+  top: "conv_stage3_block1_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block1_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block1_branch2b"
+  top: "conv_stage3_block1_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block1_branch2b"
+  type: "Scale"
+  bottom: "conv_stage3_block1_branch2b"
+  top: "conv_stage3_block1_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage3_block1_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage3_block1_branch2b"
+  top: "conv_stage3_block1_branch2b"
+}
+layer {
+  name: "conv_stage3_block1_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage3_block1_branch2b"
+  top: "conv_stage3_block1_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block1_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block1_branch2c"
+  top: "conv_stage3_block1_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block1_branch2c"
+  type: "Scale"
+  bottom: "conv_stage3_block1_branch2c"
+  top: "conv_stage3_block1_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage3_block1"
+  type: "Eltwise"
+  bottom: "eltwise_stage3_block0"
+  bottom: "conv_stage3_block1_branch2c"
+  top: "eltwise_stage3_block1"
+}
+layer {
+  name: "relu_stage3_block1"
+  type: "ReLU"
+  bottom: "eltwise_stage3_block1"
+  top: "eltwise_stage3_block1"
+}
+layer {
+  name: "conv_stage3_block2_branch2a"
+  type: "Convolution"
+  bottom: "eltwise_stage3_block1"
+  top: "conv_stage3_block2_branch2a"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block2_branch2a"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block2_branch2a"
+  top: "conv_stage3_block2_branch2a"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block2_branch2a"
+  type: "Scale"
+  bottom: "conv_stage3_block2_branch2a"
+  top: "conv_stage3_block2_branch2a"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage3_block2_branch2a"
+  type: "ReLU"
+  bottom: "conv_stage3_block2_branch2a"
+  top: "conv_stage3_block2_branch2a"
+}
+layer {
+  name: "conv_stage3_block2_branch2b"
+  type: "Convolution"
+  bottom: "conv_stage3_block2_branch2a"
+  top: "conv_stage3_block2_branch2b"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block2_branch2b"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block2_branch2b"
+  top: "conv_stage3_block2_branch2b"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block2_branch2b"
+  type: "Scale"
+  bottom: "conv_stage3_block2_branch2b"
+  top: "conv_stage3_block2_branch2b"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "relu_stage3_block2_branch2b"
+  type: "ReLU"
+  bottom: "conv_stage3_block2_branch2b"
+  top: "conv_stage3_block2_branch2b"
+}
+layer {
+  name: "conv_stage3_block2_branch2c"
+  type: "Convolution"
+  bottom: "conv_stage3_block2_branch2b"
+  top: "conv_stage3_block2_branch2c"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "bn_stage3_block2_branch2c"
+  type: "BatchNorm"
+  bottom: "conv_stage3_block2_branch2c"
+  top: "conv_stage3_block2_branch2c"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  batch_norm_param {
+    use_global_stats: true
+  }
+}
+layer {
+  name: "scale_stage3_block2_branch2c"
+  type: "Scale"
+  bottom: "conv_stage3_block2_branch2c"
+  top: "conv_stage3_block2_branch2c"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "eltwise_stage3_block2"
+  type: "Eltwise"
+  bottom: "eltwise_stage3_block1"
+  bottom: "conv_stage3_block2_branch2c"
+  top: "eltwise_stage3_block2"
+}
+layer {
+  name: "relu_stage3_block2"
+  type: "ReLU"
+  bottom: "eltwise_stage3_block2"
+  top: "eltwise_stage3_block2"
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "eltwise_stage3_block2"
+  top: "pool"
+  pooling_param {
+    pool: AVE
+    kernel_size: 7
+    stride: 1
+  }
+}
+layer {
+   name: "fc_nsfw"
+   type: "InnerProduct"
+   bottom: "pool"
+   top: "fc_nsfw"
+   param {
+       lr_mult: 5
+       decay_mult: 1
+   }
+   param {
+       lr_mult: 10
+       decay_mult: 0
+   }
+   inner_product_param{
+	   num_output: 2
+	   weight_filler {
+		 type: "xavier"
+		 std: 0.01
+	   }
+	   bias_filler {
+	      type: "xavier"
+		  value: 0
+	   }
+   }
+}
+layer {
+  name: "prob"
+  type: "Softmax"
+  bottom: "fc_nsfw"
+  top: "prob"
+}
+
diff --git a/nsfw_model/resnet_50_1by2_nsfw.caffemodel b/nsfw_model/resnet_50_1by2_nsfw.caffemodel
new file mode 100644
index 0000000..c4f3105
--- /dev/null
+++ b/nsfw_model/resnet_50_1by2_nsfw.caffemodel