Replace NSFW detector implementation

README.rst

···
 NSFW Detection
 --------------
 
-0x0 supports classification of NSFW content via Yahoo’s open_nsfw Caffe
-neural network model. This works for images and video files and requires
-the following:
+0x0 supports classification of NSFW content via
+`a machine learning model <https://huggingface.co/giacomoarienti/nsfw-classifier>`_.
+This works for images and video files and requires the following
+Python modules:
 
-* Caffe Python module (built for Python 3)
-* `PyAV <https://github.com/PyAV-Org/PyAV>`_
+* torch
+* transformers
+* pillow
+* `av <https://github.com/PyAV-Org/PyAV>`_
 
 
 Virus Scanning

fhost.py

···
     ],
     FHOST_UPLOAD_BLACKLIST = None,
     NSFW_DETECT = False,
-    NSFW_THRESHOLD = 0.608,
+    NSFW_THRESHOLD = 0.92,
     VSCAN_SOCKET = None,
     VSCAN_QUARANTINE_PATH = "quarantine",
     VSCAN_IGNORE = [

instance/config.example.py

···
 # are marked as NSFW.
 #
 # If NSFW_DETECT is set to False, then this has no effect.
-NSFW_THRESHOLD = 0.608
+NSFW_THRESHOLD = 0.92
 
 
 # If you want to scan files for viruses using ClamAV, specify the socket used

nsfw_detect.py

···
 #!/usr/bin/env python3
 
 """
-    Copyright © 2020 Mia Herkt
+    Copyright © 2024 Mia Herkt
     Licensed under the EUPL, Version 1.2 or - as soon as approved
     by the European Commission - subsequent versions of the EUPL
     (the "License");
···
     and limitations under the License.
 """
 
-import numpy as np
 import os
 import sys
-from io import BytesIO
 from pathlib import Path
 
-os.environ["GLOG_minloglevel"] = "2"  # seriously :|
-import caffe
 import av
-av.logging.set_level(av.logging.PANIC)
+from transformers import pipeline
 
 class NSFWDetector:
     def __init__(self):
-        npath = Path(__file__).parent / "nsfw_model"
-        self.nsfw_net = caffe.Net(
-            str(npath / "deploy.prototxt"),
-            caffe.TEST,
-            weights = str(npath / "resnet_50_1by2_nsfw.caffemodel")
-        )
-        self.caffe_transformer = caffe.io.Transformer({
-            'data': self.nsfw_net.blobs['data'].data.shape
-        })
-        # move image channels to outermost
-        self.caffe_transformer.set_transpose('data', (2, 0, 1))
-        # subtract the dataset-mean value in each channel
-        self.caffe_transformer.set_mean('data', np.array([104, 117, 123]))
-        # rescale from [0, 1] to [0, 255]
-        self.caffe_transformer.set_raw_scale('data', 255)
-        # swap channels from RGB to BGR
-        self.caffe_transformer.set_channel_swap('data', (2, 1, 0))
-
-    def _compute(self, img):
-        image = caffe.io.load_image(img)
-
-        H, W, _ = image.shape
-        _, _, h, w = self.nsfw_net.blobs["data"].data.shape
-        h_off = int(max((H - h) / 2, 0))
-        w_off = int(max((W - w) / 2, 0))
-        crop = image[h_off:h_off + h, w_off:w_off + w, :]
-
-        transformed_image = self.caffe_transformer.preprocess('data', crop)
-        transformed_image.shape = (1,) + transformed_image.shape
-
-        input_name = self.nsfw_net.inputs[0]
-        output_layers = ["prob"]
-        all_outputs = self.nsfw_net.forward_all(
-            blobs=output_layers, **{input_name: transformed_image})
-
-        outputs = all_outputs[output_layers[0]][0].astype(float)
-
-        return outputs
+        self.classifier = pipeline("image-classification", model="giacomoarienti/nsfw-classifier")
 
     def detect(self, fpath):
         try:
···
                 except: container.seek(0)
 
                 frame = next(container.decode(video=0))
+                img = frame.to_image()
+                res = self.classifier(img)
 
-                if frame.width >= frame.height:
-                    w = 256
-                    h = int(frame.height * (256 / frame.width))
-                else:
-                    w = int(frame.width * (256 / frame.height))
-                    h = 256
-                frame = frame.reformat(width=w, height=h, format="rgb24")
-                img = BytesIO()
-                frame.to_image().save(img, format="ppm")
+                return max([x["score"] for x in res if x["label"] not in ["neutral", "drawings"]])
+        except: pass
 
-            scores = self._compute(img)
-        except:
-            return -1.0
-
-        return scores[1]
-
+        return -1.0
 
 if __name__ == "__main__":
     n = NSFWDetector()

nsfw_model/LICENSE.md

···
-
-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.
-

nsfw_model/deploy.prototxt

···
-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"
-}
-

requirements.txt

···
 clamd
 
 # nsfw detection
-numpy
+torch
+transformers
+pillow
 
 # mod ui
 av