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Diffstat (limited to 'nsfw_model')
| -rw-r--r-- | nsfw_model/LICENSE.md | 11 | ||||
| -rw-r--r-- | nsfw_model/deploy.prototxt | 3488 | ||||
| -rw-r--r-- | nsfw_model/resnet_50_1by2_nsfw.caffemodel | bin | 0 -> 23815355 bytes |
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 Binary files differnew file mode 100644 index 0000000..c4f3105 --- /dev/null +++ b/nsfw_model/resnet_50_1by2_nsfw.caffemodel |