图像分割实验：FCN数据集制作，网络模型定义，网络训练（提供数据集和模型文件，以供参考）

论文：《Fully Convolutional Networks for Semantic Segmentation》 
代码：FCN的Caffe 实现 
数据集：PascalVOC

一 数据集制作

PascalVOC数据下载下来后，制作用以图像分割的图像数据集和标签数据集，LMDB或者LEVELDB格式。 最好resize一下（填充的方式）。 
1. 数据文件夹构成 
包括原始图片和标签图片，如下。 
 

然后，构建对应的lmdb文件。可以将所有图片按照4：1的比例分为train:val的比例。每个txt文件列出图像路径就可以，不用给label，因为image的label还是image,在caffe中指定就行。

Img_train.txt
SegmentationImage/002120.png
SegmentationImage/002132.png
SegmentationImage/002142.png
SegmentationImage/002212.png
SegmentationImage/002234.png
SegmentationImage/002260.png
SegmentationImage/002266.png
SegmentationImage/002268.png
SegmentationImage/002273.png
SegmentationImage/002281.png
SegmentationImage/002284.png
SegmentationImage/002293.png
SegmentationImage/002361.png

Label_train.txt
SegmentationClass/002120.png
SegmentationClass/002132.png
SegmentationClass/002142.png
SegmentationClass/002212.png
SegmentationClass/002234.png
SegmentationClass/002260.png
SegmentationClass/002266.png
SegmentationClass/002268.png
SegmentationClass/002273.png
SegmentationClass/002281.png
SegmentationClass/002284.png
SegmentationClass/002293.png

注意：label要自己生成，根据SegmentationClass下的groundtruth图片。 每个类别的像素值如下：

类别名称 R G B 
background 0 0 0 背景 
aeroplane 128 0 0 飞机 
bicycle 0 128 0 
bird 128 128 0 
boat 0 0 128 
bottle 128 0 128 瓶子 
bus 0 128 128 大巴 
car 128 128 128 
cat 64 0 0 猫 
chair 192 0 0 
cow 64 128 0 
diningtable 192 128 0 餐桌 
dog 64 0 128 
horse 192 0 128 
motorbike 64 128 128 
person 192 128 128 
pottedplant 0 64 0 盆栽 
sheep 128 64 0 
sofa 0 192 0 
train 128 192 0 
tvmonitor 0 64 128 显示器 

对数据集中的 ground truth 图像进行处理，生成用以训练的label图像。 
需要注意的是，label文件要是gray格式，不然会出错：scores层输出与label的数据尺寸不一致，通道问题导致的。 
然后生成lmdb就行了。数据集准备完毕。 

二 网络模型定义

这里主要考虑的是数据输入的问题，指定data和label，如下。

layer {
  name: "data"
  type: "Data"
  top:"data"
  include {
    phase: TRAIN
  }
  transform_param {
scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_train_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_train"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "label"
  type: "Data"
  top:"label"
  include {
    phase: TRAIN
  }
  transform_param {
scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_train_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_train"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  include {
    phase: TEST
  }
  transform_param {
scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_val_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_val"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "label"
  type: "Data"
  top: "label"
  include {
    phase: TEST
  }
  transform_param {
scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_val_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_val"
    batch_size: 1
    backend: LMDB
  }
}

三 网络训练

最好fintune，不然loss下降太慢。

Log file created at: 2016/12/13 12:14:07
Running on machine: DESKTOP
Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
I1213 12:14:07.177220  1380 caffe.cpp:218] Using GPUs 0
I1213 12:14:07.436894  1380 caffe.cpp:223] GPU 0: GeForce GTX 960
I1213 12:14:07.758122  1380 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:07.758623  1380 solver.cpp:48] Initializing solver from parameters: 
test_iter: 84
test_interval: 338
base_lr: 1e-014
display: 20
max_iter: 100000
lr_policy: "fixed"
momentum: 0.95
weight_decay: 0.0005
snapshot: 4000
snapshot_prefix: "FCN"
solver_mode: GPU
device_id: 0
net: "train_val.prototxt"
train_state {
  level: 0
  stage: ""
}
iter_size: 1
I1213 12:14:07.759624  1380 solver.cpp:91] Creating training net from net file: train_val.prototxt
I1213 12:14:07.760124  1380 net.cpp:332] The NetState phase (0) differed from the phase (1) specified by a rule in layer data
I1213 12:14:07.760124  1380 net.cpp:332] The NetState phase (0) differed from the phase (1) specified by a rule in layer label
I1213 12:14:07.760124  1380 net.cpp:332] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy
I1213 12:14:07.761126  1380 net.cpp:58] Initializing net from parameters: 
state {
  phase: TRAIN
  level: 0
  stage: ""
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  include {
    phase: TRAIN
  }
  transform_param {
    scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_train_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_train"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "label"
  type: "Data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_train_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_train"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "data"
  top: "conv1_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 100
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu1_1"
  type: "ReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  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
  }
}
layer {
  name: "relu1_2"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1_2"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2_1"
  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
  }
}
layer {
  name: "relu2_1"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}
layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  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
  }
}
layer {
  name: "relu2_2"
  type: "ReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2_2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3_1"
  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
  }
}
layer {
  name: "relu3_1"
  type: "ReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}
layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  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
  }
}
layer {
  name: "relu3_2"
  type: "ReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}
layer {
  name: "conv3_3"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv3_3"
  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
  }
}
layer {
  name: "relu3_3"
  type: "ReLU"
  bottom: "conv3_3"
  top: "conv3_3"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv3_3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "pool3"
  top: "conv4_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_1"
  type: "ReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}
layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_2"
  type: "ReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}
layer {
  name: "conv4_3"
  type: "Convolution"
  bottom: "conv4_2"
  top: "conv4_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_3"
  type: "ReLU"
  bottom: "conv4_3"
  top: "conv4_3"
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv4_3"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv5_1"
  type: "Convolution"
  bottom: "pool4"
  top: "conv5_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_1"
  type: "ReLU"
  bottom: "conv5_1"
  top: "conv5_1"
}
layer {
  name: "conv5_2"
  type: "Convolution"
  bottom: "conv5_1"
  top: "conv5_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_2"
  type: "ReLU"
  bottom: "conv5_2"
  top: "conv5_2"
}
layer {
  name: "conv5_3"
  type: "Convolution"
  bottom: "conv5_2"
  top: "conv5_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_3"
  type: "ReLU"
  bottom: "conv5_3"
  top: "conv5_3"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5_3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "Convolution"
  bottom: "pool5"
  top: "fc6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc7"
  type: "Convolution"
  bottom: "fc6"
  top: "fc7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "score_fr"
  type: "Convolution"
  bottom: "fc7"
  top: "score_fr"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
  }
}
layer {
  name: "upscore2"
  type: "Deconvolution"
  bottom: "score_fr"
  top: "upscore2"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
  }
}
layer {
  name: "score_pool4"
  type: "Convolution"
  bottom: "pool4"
  top: "score_pool4"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
  }
}
layer {
  name: "score_pool4c"
  type: "Crop"
  bottom: "score_pool4"
  bottom: "upscore2"
  top: "score_pool4c"
  crop_param {
    axis: 2
    offset: 5
  }
}
layer {
  name: "fuse_pool4"
  type: "Eltwise"
  bottom: "upscore2"
  bottom: "score_pool4c"
  top: "fuse_pool4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore_pool4"
  type: "Deconvolution"
  bottom: "fuse_pool4"
  top: "upscore_pool4"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
  }
}
layer {
  name: "score_pool3"
  type: "Convolution"
  bottom: "pool3"
  top: "score_pool3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
  }
}
layer {
  name: "score_pool3c"
  type: "Crop"
  bottom: "score_pool3"
  bottom: "upscore_pool4"
  top: "score_pool3c"
  crop_param {
    axis: 2
    offset: 9
  }
}
layer {
  name: "fuse_pool3"
  type: "Eltwise"
  bottom: "upscore_pool4"
  bottom: "score_pool3c"
  top: "fuse_pool3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore8"
  type: "Deconvolution"
  bottom: "fuse_pool3"
  top: "upscore8"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 16
    stride: 8
  }
}
layer {
  name: "score"
  type: "Crop"
  bottom: "upscore8"
  bottom: "data"
  top: "score"
  crop_param {
    axis: 2
    offset: 31
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "score"
  bottom: "label"
  top: "loss"
  loss_param {
    ignore_label: 255
    normalize: false
  }
}
I1213 12:14:07.787643  1380 layer_factory.hpp:77] Creating layer data
I1213 12:14:07.788645  1380 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:07.789145  1380 net.cpp:100] Creating Layer data
I1213 12:14:07.789645  1380 net.cpp:418] data -> data
I1213 12:14:07.790145 12764 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:07.790145  1380 data_transformer.cpp:25] Loading mean file from: G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_train_mean.binaryproto
I1213 12:14:07.791647 12764 db_lmdb.cpp:40] Opened lmdb G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_train
I1213 12:14:07.841182  1380 data_layer.cpp:41] output data size: 1,3,224,224
I1213 12:14:07.846186  1380 net.cpp:150] Setting up data
I1213 12:14:07.846688  1380 net.cpp:157] Top shape: 1 3 224 224 (150528)
I1213 12:14:07.849189 11676 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:07.849689  1380 net.cpp:165] Memory required for data: 602112
I1213 12:14:07.852190  1380 layer_factory.hpp:77] Creating layer data_data_0_split
I1213 12:14:07.853691  1380 net.cpp:100] Creating Layer data_data_0_split
I1213 12:14:07.855195  1380 net.cpp:444] data_data_0_split <- data
I1213 12:14:07.856194  1380 net.cpp:418] data_data_0_split -> data_data_0_split_0
I1213 12:14:07.857697  1380 net.cpp:418] data_data_0_split -> data_data_0_split_1
I1213 12:14:07.858695  1380 net.cpp:150] Setting up data_data_0_split
I1213 12:14:07.859695  1380 net.cpp:157] Top shape: 1 3 224 224 (150528)
I1213 12:14:07.862702  1380 net.cpp:157] Top shape: 1 3 224 224 (150528)
I1213 12:14:07.864199  1380 net.cpp:165] Memory required for data: 1806336
I1213 12:14:07.865211  1380 layer_factory.hpp:77] Creating layer label
I1213 12:14:07.866701  1380 net.cpp:100] Creating Layer label
I1213 12:14:07.867712  1380 net.cpp:418] label -> label
I1213 12:14:07.869706  2072 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:07.870203  1380 data_transformer.cpp:25] Loading mean file from: G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_train_mean.binaryproto
I1213 12:14:07.873206  2072 db_lmdb.cpp:40] Opened lmdb G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_train
I1213 12:14:07.875710  1380 data_layer.cpp:41] output data size: 1,1,224,224
I1213 12:14:07.877709  1380 net.cpp:150] Setting up label
I1213 12:14:07.879212  1380 net.cpp:157] Top shape: 1 1 224 224 (50176)
I1213 12:14:07.881211  7064 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:07.882211  1380 net.cpp:165] Memory required for data: 2007040
I1213 12:14:07.883713  1380 layer_factory.hpp:77] Creating layer conv1_1
I1213 12:14:07.884716  1380 net.cpp:100] Creating Layer conv1_1
I1213 12:14:07.885215  1380 net.cpp:444] conv1_1 <- data_data_0_split_0
I1213 12:14:07.886214  1380 net.cpp:418] conv1_1 -> conv1_1
I1213 12:14:08.172420  1380 net.cpp:150] Setting up conv1_1
I1213 12:14:08.172919  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.173419  1380 net.cpp:165] Memory required for data: 47596544
I1213 12:14:08.173919  1380 layer_factory.hpp:77] Creating layer relu1_1
I1213 12:14:08.173919  1380 net.cpp:100] Creating Layer relu1_1
I1213 12:14:08.173919  1380 net.cpp:444] relu1_1 <- conv1_1
I1213 12:14:08.174420  1380 net.cpp:405] relu1_1 -> conv1_1 (in-place)
I1213 12:14:08.174921  1380 net.cpp:150] Setting up relu1_1
I1213 12:14:08.175420  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.175921  1380 net.cpp:165] Memory required for data: 93186048
I1213 12:14:08.175921  1380 layer_factory.hpp:77] Creating layer conv1_2
I1213 12:14:08.176421  1380 net.cpp:100] Creating Layer conv1_2
I1213 12:14:08.176421  1380 net.cpp:444] conv1_2 <- conv1_1
I1213 12:14:08.176421  1380 net.cpp:418] conv1_2 -> conv1_2
I1213 12:14:08.178923  1380 net.cpp:150] Setting up conv1_2
I1213 12:14:08.179424  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.179424  1380 net.cpp:165] Memory required for data: 138775552
I1213 12:14:08.179424  1380 layer_factory.hpp:77] Creating layer relu1_2
I1213 12:14:08.179424  1380 net.cpp:100] Creating Layer relu1_2
I1213 12:14:08.180424  1380 net.cpp:444] relu1_2 <- conv1_2
I1213 12:14:08.180424  1380 net.cpp:405] relu1_2 -> conv1_2 (in-place)
I1213 12:14:08.180924  1380 net.cpp:150] Setting up relu1_2
I1213 12:14:08.181426  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.181426  1380 net.cpp:165] Memory required for data: 184365056
I1213 12:14:08.181426  1380 layer_factory.hpp:77] Creating layer pool1
I1213 12:14:08.181426  1380 net.cpp:100] Creating Layer pool1
I1213 12:14:08.182425  1380 net.cpp:444] pool1 <- conv1_2
I1213 12:14:08.182425  1380 net.cpp:418] pool1 -> pool1
I1213 12:14:08.182425  1380 net.cpp:150] Setting up pool1
I1213 12:14:08.183426  1380 net.cpp:157] Top shape: 1 64 211 211 (2849344)
I1213 12:14:08.183426  1380 net.cpp:165] Memory required for data: 195762432
I1213 12:14:08.183426  1380 layer_factory.hpp:77] Creating layer conv2_1
I1213 12:14:08.183926  1380 net.cpp:100] Creating Layer conv2_1
I1213 12:14:08.183926  1380 net.cpp:444] conv2_1 <- pool1
I1213 12:14:08.183926  1380 net.cpp:418] conv2_1 -> conv2_1
I1213 12:14:08.189931  1380 net.cpp:150] Setting up conv2_1
I1213 12:14:08.189931  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.190433  1380 net.cpp:165] Memory required for data: 218557184
I1213 12:14:08.190932  1380 layer_factory.hpp:77] Creating layer relu2_1
I1213 12:14:08.191432  1380 net.cpp:100] Creating Layer relu2_1
I1213 12:14:08.191432  1380 net.cpp:444] relu2_1 <- conv2_1
I1213 12:14:08.191432  1380 net.cpp:405] relu2_1 -> conv2_1 (in-place)
I1213 12:14:08.192433  1380 net.cpp:150] Setting up relu2_1
I1213 12:14:08.192934  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.192934  1380 net.cpp:165] Memory required for data: 241351936
I1213 12:14:08.193434  1380 layer_factory.hpp:77] Creating layer conv2_2
I1213 12:14:08.193434  1380 net.cpp:100] Creating Layer conv2_2
I1213 12:14:08.194434  1380 net.cpp:444] conv2_2 <- conv2_1
I1213 12:14:08.194434  1380 net.cpp:418] conv2_2 -> conv2_2
I1213 12:14:08.197937  1380 net.cpp:150] Setting up conv2_2
I1213 12:14:08.197937  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.198437  1380 net.cpp:165] Memory required for data: 264146688
I1213 12:14:08.198437  1380 layer_factory.hpp:77] Creating layer relu2_2
I1213 12:14:08.198437  1380 net.cpp:100] Creating Layer relu2_2
I1213 12:14:08.199439  1380 net.cpp:444] relu2_2 <- conv2_2
I1213 12:14:08.199439  1380 net.cpp:405] relu2_2 -> conv2_2 (in-place)
I1213 12:14:08.199939  1380 net.cpp:150] Setting up relu2_2
I1213 12:14:08.200939  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.200939  1380 net.cpp:165] Memory required for data: 286941440
I1213 12:14:08.200939  1380 layer_factory.hpp:77] Creating layer pool2
I1213 12:14:08.200939  1380 net.cpp:100] Creating Layer pool2
I1213 12:14:08.202940  1380 net.cpp:444] pool2 <- conv2_2
I1213 12:14:08.203441  1380 net.cpp:418] pool2 -> pool2
I1213 12:14:08.203441  1380 net.cpp:150] Setting up pool2
I1213 12:14:08.203441  1380 net.cpp:157] Top shape: 1 128 106 106 (1438208)
I1213 12:14:08.203441  1380 net.cpp:165] Memory required for data: 292694272
I1213 12:14:08.203941  1380 layer_factory.hpp:77] Creating layer conv3_1
I1213 12:14:08.203941  1380 net.cpp:100] Creating Layer conv3_1
I1213 12:14:08.203941  1380 net.cpp:444] conv3_1 <- pool2
I1213 12:14:08.207443  1380 net.cpp:418] conv3_1 -> conv3_1
I1213 12:14:08.214949  1380 net.cpp:150] Setting up conv3_1
I1213 12:14:08.214949  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.215450  1380 net.cpp:165] Memory required for data: 304199936
I1213 12:14:08.215450  1380 layer_factory.hpp:77] Creating layer relu3_1
I1213 12:14:08.215450  1380 net.cpp:100] Creating Layer relu3_1
I1213 12:14:08.216450  1380 net.cpp:444] relu3_1 <- conv3_1
I1213 12:14:08.216450  1380 net.cpp:405] relu3_1 -> conv3_1 (in-place)
I1213 12:14:08.217952  1380 net.cpp:150] Setting up relu3_1
I1213 12:14:08.219452  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.219452  1380 net.cpp:165] Memory required for data: 315705600
I1213 12:14:08.219452  1380 layer_factory.hpp:77] Creating layer conv3_2
I1213 12:14:08.220453  1380 net.cpp:100] Creating Layer conv3_2
I1213 12:14:08.222455  1380 net.cpp:444] conv3_2 <- conv3_1
I1213 12:14:08.222455  1380 net.cpp:418] conv3_2 -> conv3_2
I1213 12:14:08.227458  1380 net.cpp:150] Setting up conv3_2
I1213 12:14:08.227458  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.228458  1380 net.cpp:165] Memory required for data: 327211264
I1213 12:14:08.228458  1380 layer_factory.hpp:77] Creating layer relu3_2
I1213 12:14:08.228458  1380 net.cpp:100] Creating Layer relu3_2
I1213 12:14:08.228958  1380 net.cpp:444] relu3_2 <- conv3_2
I1213 12:14:08.229960  1380 net.cpp:405] relu3_2 -> conv3_2 (in-place)
I1213 12:14:08.230460  1380 net.cpp:150] Setting up relu3_2
I1213 12:14:08.230959  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.230959  1380 net.cpp:165] Memory required for data: 338716928
I1213 12:14:08.231461  1380 layer_factory.hpp:77] Creating layer conv3_3
I1213 12:14:08.231961  1380 net.cpp:100] Creating Layer conv3_3
I1213 12:14:08.231961  1380 net.cpp:444] conv3_3 <- conv3_2
I1213 12:14:08.231961  1380 net.cpp:418] conv3_3 -> conv3_3
I1213 12:14:08.240967  1380 net.cpp:150] Setting up conv3_3
I1213 12:14:08.240967  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.241467  1380 net.cpp:165] Memory required for data: 350222592
I1213 12:14:08.241467  1380 layer_factory.hpp:77] Creating layer relu3_3
I1213 12:14:08.242468  1380 net.cpp:100] Creating Layer relu3_3
I1213 12:14:08.242468  1380 net.cpp:444] relu3_3 <- conv3_3
I1213 12:14:08.242468  1380 net.cpp:405] relu3_3 -> conv3_3 (in-place)
I1213 12:14:08.243969  1380 net.cpp:150] Setting up relu3_3
I1213 12:14:08.244971  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.244971  1380 net.cpp:165] Memory required for data: 361728256
I1213 12:14:08.244971  1380 layer_factory.hpp:77] Creating layer pool3
I1213 12:14:08.245970  1380 net.cpp:100] Creating Layer pool3
I1213 12:14:08.245970  1380 net.cpp:444] pool3 <- conv3_3
I1213 12:14:08.245970  1380 net.cpp:418] pool3 -> pool3
I1213 12:14:08.245970  1380 net.cpp:150] Setting up pool3
I1213 12:14:08.246471  1380 net.cpp:157] Top shape: 1 256 53 53 (719104)
I1213 12:14:08.246471  1380 net.cpp:165] Memory required for data: 364604672
I1213 12:14:08.246471  1380 layer_factory.hpp:77] Creating layer pool3_pool3_0_split
I1213 12:14:08.246471  1380 net.cpp:100] Creating Layer pool3_pool3_0_split
I1213 12:14:08.246971  1380 net.cpp:444] pool3_pool3_0_split <- pool3
I1213 12:14:08.247473  1380 net.cpp:418] pool3_pool3_0_split -> pool3_pool3_0_split_0
I1213 12:14:08.247473  1380 net.cpp:418] pool3_pool3_0_split -> pool3_pool3_0_split_1
I1213 12:14:08.247473  1380 net.cpp:150] Setting up pool3_pool3_0_split
I1213 12:14:08.247473  1380 net.cpp:157] Top shape: 1 256 53 53 (719104)
I1213 12:14:08.247473  1380 net.cpp:157] Top shape: 1 256 53 53 (719104)
I1213 12:14:08.247473  1380 net.cpp:165] Memory required for data: 370357504
I1213 12:14:08.249974  1380 layer_factory.hpp:77] Creating layer conv4_1
I1213 12:14:08.249974  1380 net.cpp:100] Creating Layer conv4_1
I1213 12:14:08.249974  1380 net.cpp:444] conv4_1 <- pool3_pool3_0_split_0
I1213 12:14:08.249974  1380 net.cpp:418] conv4_1 -> conv4_1
I1213 12:14:08.260982  1380 net.cpp:150] Setting up conv4_1
I1213 12:14:08.261482  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.262984  1380 net.cpp:165] Memory required for data: 376110336
I1213 12:14:08.262984  1380 layer_factory.hpp:77] Creating layer relu4_1
I1213 12:14:08.266486  1380 net.cpp:100] Creating Layer relu4_1
I1213 12:14:08.266985  1380 net.cpp:444] relu4_1 <- conv4_1
I1213 12:14:08.266985  1380 net.cpp:405] relu4_1 -> conv4_1 (in-place)
I1213 12:14:08.269989  1380 net.cpp:150] Setting up relu4_1
I1213 12:14:08.269989  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.270488  1380 net.cpp:165] Memory required for data: 381863168
I1213 12:14:08.270488  1380 layer_factory.hpp:77] Creating layer conv4_2
I1213 12:14:08.270488  1380 net.cpp:100] Creating Layer conv4_2
I1213 12:14:08.272990  1380 net.cpp:444] conv4_2 <- conv4_1
I1213 12:14:08.275492  1380 net.cpp:418] conv4_2 -> conv4_2
I1213 12:14:08.287000  1380 net.cpp:150] Setting up conv4_2
I1213 12:14:08.287000  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.287500  1380 net.cpp:165] Memory required for data: 387616000
I1213 12:14:08.287500  1380 layer_factory.hpp:77] Creating layer relu4_2
I1213 12:14:08.287500  1380 net.cpp:100] Creating Layer relu4_2
I1213 12:14:08.288501  1380 net.cpp:444] relu4_2 <- conv4_2
I1213 12:14:08.288501  1380 net.cpp:405] relu4_2 -> conv4_2 (in-place)
I1213 12:14:08.289504  1380 net.cpp:150] Setting up relu4_2
I1213 12:14:08.290503  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.290503  1380 net.cpp:165] Memory required for data: 393368832
I1213 12:14:08.290503  1380 layer_factory.hpp:77] Creating layer conv4_3
I1213 12:14:08.290503  1380 net.cpp:100] Creating Layer conv4_3
I1213 12:14:08.291503  1380 net.cpp:444] conv4_3 <- conv4_2
I1213 12:14:08.291503  1380 net.cpp:418] conv4_3 -> conv4_3
I1213 12:14:08.301012  1380 net.cpp:150] Setting up conv4_3
I1213 12:14:08.301512  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.303011  1380 net.cpp:165] Memory required for data: 399121664
I1213 12:14:08.303011  1380 layer_factory.hpp:77] Creating layer relu4_3
I1213 12:14:08.306015  1380 net.cpp:100] Creating Layer relu4_3
I1213 12:14:08.307015  1380 net.cpp:444] relu4_3 <- conv4_3
I1213 12:14:08.307515  1380 net.cpp:405] relu4_3 -> conv4_3 (in-place)
I1213 12:14:08.309517  1380 net.cpp:150] Setting up relu4_3
I1213 12:14:08.312518  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.312518  1380 net.cpp:165] Memory required for data: 404874496
I1213 12:14:08.313519  1380 layer_factory.hpp:77] Creating layer pool4
I1213 12:14:08.313519  1380 net.cpp:100] Creating Layer pool4
I1213 12:14:08.313519  1380 net.cpp:444] pool4 <- conv4_3
I1213 12:14:08.313519  1380 net.cpp:418] pool4 -> pool4
I1213 12:14:08.314019  1380 net.cpp:150] Setting up pool4
I1213 12:14:08.314019  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.314019  1380 net.cpp:165] Memory required for data: 406367488
I1213 12:14:08.314019  1380 layer_factory.hpp:77] Creating layer pool4_pool4_0_split
I1213 12:14:08.314019  1380 net.cpp:100] Creating Layer pool4_pool4_0_split
I1213 12:14:08.315521  1380 net.cpp:444] pool4_pool4_0_split <- pool4
I1213 12:14:08.315521  1380 net.cpp:418] pool4_pool4_0_split -> pool4_pool4_0_split_0
I1213 12:14:08.315521  1380 net.cpp:418] pool4_pool4_0_split -> pool4_pool4_0_split_1
I1213 12:14:08.316522  1380 net.cpp:150] Setting up pool4_pool4_0_split
I1213 12:14:08.316522  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.317023  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.317023  1380 net.cpp:165] Memory required for data: 409353472
I1213 12:14:08.317023  1380 layer_factory.hpp:77] Creating layer conv5_1
I1213 12:14:08.317523  1380 net.cpp:100] Creating Layer conv5_1
I1213 12:14:08.318022  1380 net.cpp:444] conv5_1 <- pool4_pool4_0_split_0
I1213 12:14:08.318522  1380 net.cpp:418] conv5_1 -> conv5_1
I1213 12:14:08.326529  1380 net.cpp:150] Setting up conv5_1
I1213 12:14:08.327530  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.327530  1380 net.cpp:165] Memory required for data: 410846464
I1213 12:14:08.327530  1380 layer_factory.hpp:77] Creating layer relu5_1
I1213 12:14:08.327530  1380 net.cpp:100] Creating Layer relu5_1
I1213 12:14:08.327530  1380 net.cpp:444] relu5_1 <- conv5_1
I1213 12:14:08.328531  1380 net.cpp:405] relu5_1 -> conv5_1 (in-place)
I1213 12:14:08.329530  1380 net.cpp:150] Setting up relu5_1
I1213 12:14:08.330030  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.330030  1380 net.cpp:165] Memory required for data: 412339456
I1213 12:14:08.330030  1380 layer_factory.hpp:77] Creating layer conv5_2
I1213 12:14:08.330030  1380 net.cpp:100] Creating Layer conv5_2
I1213 12:14:08.331032  1380 net.cpp:444] conv5_2 <- conv5_1
I1213 12:14:08.331032  1380 net.cpp:418] conv5_2 -> conv5_2
I1213 12:14:08.339037  1380 net.cpp:150] Setting up conv5_2
I1213 12:14:08.339539  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.339539  1380 net.cpp:165] Memory required for data: 413832448
I1213 12:14:08.339539  1380 layer_factory.hpp:77] Creating layer relu5_2
I1213 12:14:08.340538  1380 net.cpp:100] Creating Layer relu5_2
I1213 12:14:08.340538  1380 net.cpp:444] relu5_2 <- conv5_2
I1213 12:14:08.340538  1380 net.cpp:405] relu5_2 -> conv5_2 (in-place)
I1213 12:14:08.341539  1380 net.cpp:150] Setting up relu5_2
I1213 12:14:08.342039  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.342039  1380 net.cpp:165] Memory required for data: 415325440
I1213 12:14:08.342039  1380 layer_factory.hpp:77] Creating layer conv5_3
I1213 12:14:08.342039  1380 net.cpp:100] Creating Layer conv5_3
I1213 12:14:08.342039  1380 net.cpp:444] conv5_3 <- conv5_2
I1213 12:14:08.342540  1380 net.cpp:418] conv5_3 -> conv5_3
I1213 12:14:08.348544  1380 net.cpp:150] Setting up conv5_3
I1213 12:14:08.348544  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.349545  1380 net.cpp:165] Memory required for data: 416818432
I1213 12:14:08.349545  1380 layer_factory.hpp:77] Creating layer relu5_3
I1213 12:14:08.349545  1380 net.cpp:100] Creating Layer relu5_3
I1213 12:14:08.350545  1380 net.cpp:444] relu5_3 <- conv5_3
I1213 12:14:08.350545  1380 net.cpp:405] relu5_3 -> conv5_3 (in-place)
I1213 12:14:08.352046  1380 net.cpp:150] Setting up relu5_3
I1213 12:14:08.352547  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.352547  1380 net.cpp:165] Memory required for data: 418311424
I1213 12:14:08.352547  1380 layer_factory.hpp:77] Creating layer pool5
I1213 12:14:08.352547  1380 net.cpp:100] Creating Layer pool5
I1213 12:14:08.353049  1380 net.cpp:444] pool5 <- conv5_3
I1213 12:14:08.353049  1380 net.cpp:418] pool5 -> pool5
I1213 12:14:08.353049  1380 net.cpp:150] Setting up pool5
I1213 12:14:08.353548  1380 net.cpp:157] Top shape: 1 512 14 14 (100352)
I1213 12:14:08.353548  1380 net.cpp:165] Memory required for data: 418712832
I1213 12:14:08.354048  1380 layer_factory.hpp:77] Creating layer fc6
I1213 12:14:08.354048  1380 net.cpp:100] Creating Layer fc6
I1213 12:14:08.354048  1380 net.cpp:444] fc6 <- pool5
I1213 12:14:08.354048  1380 net.cpp:418] fc6 -> fc6
I1213 12:14:08.565698  1380 net.cpp:150] Setting up fc6
I1213 12:14:08.566198  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:08.566699  1380 net.cpp:165] Memory required for data: 419761408
I1213 12:14:08.567199  1380 layer_factory.hpp:77] Creating layer relu6
I1213 12:14:08.567700  1380 net.cpp:100] Creating Layer relu6
I1213 12:14:08.567700  1380 net.cpp:444] relu6 <- fc6
I1213 12:14:08.568200  1380 net.cpp:405] relu6 -> fc6 (in-place)
I1213 12:14:08.568701  1380 net.cpp:150] Setting up relu6
I1213 12:14:08.569201  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:08.569701  1380 net.cpp:165] Memory required for data: 420809984
I1213 12:14:08.569701  1380 layer_factory.hpp:77] Creating layer drop6
I1213 12:14:08.569701  1380 net.cpp:100] Creating Layer drop6
I1213 12:14:08.570201  1380 net.cpp:444] drop6 <- fc6
I1213 12:14:08.570703  1380 net.cpp:405] drop6 -> fc6 (in-place)
I1213 12:14:08.571703  1380 net.cpp:150] Setting up drop6
I1213 12:14:08.572703  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:08.573204  1380 net.cpp:165] Memory required for data: 421858560
I1213 12:14:08.573204  1380 layer_factory.hpp:77] Creating layer fc7
I1213 12:14:08.573204  1380 net.cpp:100] Creating Layer fc7
I1213 12:14:08.573704  1380 net.cpp:444] fc7 <- fc6
I1213 12:14:08.574204  1380 net.cpp:418] fc7 -> fc7
I1213 12:14:08.610230  1380 net.cpp:150] Setting up fc7
I1213 12:14:08.610730  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:08.611232  1380 net.cpp:165] Memory required for data: 422907136
I1213 12:14:08.611732  1380 layer_factory.hpp:77] Creating layer relu7
I1213 12:14:08.612232  1380 net.cpp:100] Creating Layer relu7
I1213 12:14:08.612232  1380 net.cpp:444] relu7 <- fc7
I1213 12:14:08.612232  1380 net.cpp:405] relu7 -> fc7 (in-place)
I1213 12:14:08.612732  1380 net.cpp:150] Setting up relu7
I1213 12:14:08.613232  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:08.613232  1380 net.cpp:165] Memory required for data: 423955712
I1213 12:14:08.613232  1380 layer_factory.hpp:77] Creating layer drop7
I1213 12:14:08.613232  1380 net.cpp:100] Creating Layer drop7
I1213 12:14:08.613732  1380 net.cpp:444] drop7 <- fc7
I1213 12:14:08.614733  1380 net.cpp:405] drop7 -> fc7 (in-place)
I1213 12:14:08.615234  1380 net.cpp:150] Setting up drop7
I1213 12:14:08.615734  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:08.616235  1380 net.cpp:165] Memory required for data: 425004288
I1213 12:14:08.616235  1380 layer_factory.hpp:77] Creating layer score_fr
I1213 12:14:08.616235  1380 net.cpp:100] Creating Layer score_fr
I1213 12:14:08.616235  1380 net.cpp:444] score_fr <- fc7
I1213 12:14:08.617235  1380 net.cpp:418] score_fr -> score_fr
I1213 12:14:08.619237  1380 net.cpp:150] Setting up score_fr
I1213 12:14:08.619237  1380 net.cpp:157] Top shape: 1 21 8 8 (1344)
I1213 12:14:08.619237  1380 net.cpp:165] Memory required for data: 425009664
I1213 12:14:08.619237  1380 layer_factory.hpp:77] Creating layer upscore2
I1213 12:14:08.620237  1380 net.cpp:100] Creating Layer upscore2
I1213 12:14:08.620237  1380 net.cpp:444] upscore2 <- score_fr
I1213 12:14:08.620237  1380 net.cpp:418] upscore2 -> upscore2
I1213 12:14:08.621739  1380 net.cpp:150] Setting up upscore2
I1213 12:14:08.622740  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:08.622740  1380 net.cpp:165] Memory required for data: 425036880
I1213 12:14:08.622740  1380 layer_factory.hpp:77] Creating layer upscore2_upscore2_0_split
I1213 12:14:08.622740  1380 net.cpp:100] Creating Layer upscore2_upscore2_0_split
I1213 12:14:08.623240  1380 net.cpp:444] upscore2_upscore2_0_split <- upscore2
I1213 12:14:08.623740  1380 net.cpp:418] upscore2_upscore2_0_split -> upscore2_upscore2_0_split_0
I1213 12:14:08.623740  1380 net.cpp:418] upscore2_upscore2_0_split -> upscore2_upscore2_0_split_1
I1213 12:14:08.623740  1380 net.cpp:150] Setting up upscore2_upscore2_0_split
I1213 12:14:08.627243  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:08.628244  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:08.628744  1380 net.cpp:165] Memory required for data: 425091312
I1213 12:14:08.628744  1380 layer_factory.hpp:77] Creating layer score_pool4
I1213 12:14:08.630245  1380 net.cpp:100] Creating Layer score_pool4
I1213 12:14:08.631748  1380 net.cpp:444] score_pool4 <- pool4_pool4_0_split_1
I1213 12:14:08.631748  1380 net.cpp:418] score_pool4 -> score_pool4
I1213 12:14:08.634748  1380 net.cpp:150] Setting up score_pool4
I1213 12:14:08.634748  1380 net.cpp:157] Top shape: 1 21 27 27 (15309)
I1213 12:14:08.636250  1380 net.cpp:165] Memory required for data: 425152548
I1213 12:14:08.636250  1380 layer_factory.hpp:77] Creating layer score_pool4c
I1213 12:14:08.636250  1380 net.cpp:100] Creating Layer score_pool4c
I1213 12:14:08.636250  1380 net.cpp:444] score_pool4c <- score_pool4
I1213 12:14:08.637750  1380 net.cpp:444] score_pool4c <- upscore2_upscore2_0_split_0
I1213 12:14:08.637750  1380 net.cpp:418] score_pool4c -> score_pool4c
I1213 12:14:08.637750  1380 net.cpp:150] Setting up score_pool4c
I1213 12:14:08.638751  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:08.638751  1380 net.cpp:165] Memory required for data: 425179764
I1213 12:14:08.639251  1380 layer_factory.hpp:77] Creating layer fuse_pool4
I1213 12:14:08.639251  1380 net.cpp:100] Creating Layer fuse_pool4
I1213 12:14:08.640751  1380 net.cpp:444] fuse_pool4 <- upscore2_upscore2_0_split_1
I1213 12:14:08.645756  1380 net.cpp:444] fuse_pool4 <- score_pool4c
I1213 12:14:08.645756  1380 net.cpp:418] fuse_pool4 -> fuse_pool4
I1213 12:14:08.646756  1380 net.cpp:150] Setting up fuse_pool4
I1213 12:14:08.646756  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:08.646756  1380 net.cpp:165] Memory required for data: 425206980
I1213 12:14:08.646756  1380 layer_factory.hpp:77] Creating layer upscore_pool4
I1213 12:14:08.647258  1380 net.cpp:100] Creating Layer upscore_pool4
I1213 12:14:08.647258  1380 net.cpp:444] upscore_pool4 <- fuse_pool4
I1213 12:14:08.647758  1380 net.cpp:418] upscore_pool4 -> upscore_pool4
I1213 12:14:08.649258  1380 net.cpp:150] Setting up upscore_pool4
I1213 12:14:08.649760  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:08.650259  1380 net.cpp:165] Memory required for data: 425328276
I1213 12:14:08.650259  1380 layer_factory.hpp:77] Creating layer upscore_pool4_upscore_pool4_0_split
I1213 12:14:08.650259  1380 net.cpp:100] Creating Layer upscore_pool4_upscore_pool4_0_split
I1213 12:14:08.651260  1380 net.cpp:444] upscore_pool4_upscore_pool4_0_split <- upscore_pool4
I1213 12:14:08.651260  1380 net.cpp:418] upscore_pool4_upscore_pool4_0_split -> upscore_pool4_upscore_pool4_0_split_0
I1213 12:14:08.651260  1380 net.cpp:418] upscore_pool4_upscore_pool4_0_split -> upscore_pool4_upscore_pool4_0_split_1
I1213 12:14:08.652261  1380 net.cpp:150] Setting up upscore_pool4_upscore_pool4_0_split
I1213 12:14:08.652261  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:08.652261  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:08.652261  1380 net.cpp:165] Memory required for data: 425570868
I1213 12:14:08.652261  1380 layer_factory.hpp:77] Creating layer score_pool3
I1213 12:14:08.653261  1380 net.cpp:100] Creating Layer score_pool3
I1213 12:14:08.656764  1380 net.cpp:444] score_pool3 <- pool3_pool3_0_split_1
I1213 12:14:08.656764  1380 net.cpp:418] score_pool3 -> score_pool3
I1213 12:14:08.659765  1380 net.cpp:150] Setting up score_pool3
I1213 12:14:08.660266  1380 net.cpp:157] Top shape: 1 21 53 53 (58989)
I1213 12:14:08.666271  1380 net.cpp:165] Memory required for data: 425806824
I1213 12:14:08.666271  1380 layer_factory.hpp:77] Creating layer score_pool3c
I1213 12:14:08.666271  1380 net.cpp:100] Creating Layer score_pool3c
I1213 12:14:08.666771  1380 net.cpp:444] score_pool3c <- score_pool3
I1213 12:14:08.667271  1380 net.cpp:444] score_pool3c <- upscore_pool4_upscore_pool4_0_split_0
I1213 12:14:08.667271  1380 net.cpp:418] score_pool3c -> score_pool3c
I1213 12:14:08.667271  1380 net.cpp:150] Setting up score_pool3c
I1213 12:14:08.667271  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:08.667271  1380 net.cpp:165] Memory required for data: 425928120
I1213 12:14:08.667271  1380 layer_factory.hpp:77] Creating layer fuse_pool3
I1213 12:14:08.667271  1380 net.cpp:100] Creating Layer fuse_pool3
I1213 12:14:08.668272  1380 net.cpp:444] fuse_pool3 <- upscore_pool4_upscore_pool4_0_split_1
I1213 12:14:08.668772  1380 net.cpp:444] fuse_pool3 <- score_pool3c
I1213 12:14:08.669273  1380 net.cpp:418] fuse_pool3 -> fuse_pool3
I1213 12:14:08.669273  1380 net.cpp:150] Setting up fuse_pool3
I1213 12:14:08.670274  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:08.670274  1380 net.cpp:165] Memory required for data: 426049416
I1213 12:14:08.670274  1380 layer_factory.hpp:77] Creating layer upscore8
I1213 12:14:08.670274  1380 net.cpp:100] Creating Layer upscore8
I1213 12:14:08.670274  1380 net.cpp:444] upscore8 <- fuse_pool3
I1213 12:14:08.670274  1380 net.cpp:418] upscore8 -> upscore8
I1213 12:14:08.671274  1380 net.cpp:150] Setting up upscore8
I1213 12:14:08.671775  1380 net.cpp:157] Top shape: 1 21 312 312 (2044224)
I1213 12:14:08.671775  1380 net.cpp:165] Memory required for data: 434226312
I1213 12:14:08.671775  1380 layer_factory.hpp:77] Creating layer score
I1213 12:14:08.671775  1380 net.cpp:100] Creating Layer score
I1213 12:14:08.671775  1380 net.cpp:444] score <- upscore8
I1213 12:14:08.672274  1380 net.cpp:444] score <- data_data_0_split_1
I1213 12:14:08.673275  1380 net.cpp:418] score -> score
I1213 12:14:08.673275  1380 net.cpp:150] Setting up score
I1213 12:14:08.674276  1380 net.cpp:157] Top shape: 1 21 224 224 (1053696)
I1213 12:14:08.674276  1380 net.cpp:165] Memory required for data: 438441096
I1213 12:14:08.674276  1380 layer_factory.hpp:77] Creating layer loss
I1213 12:14:08.674276  1380 net.cpp:100] Creating Layer loss
I1213 12:14:08.675277  1380 net.cpp:444] loss <- score
I1213 12:14:08.675277  1380 net.cpp:444] loss <- label
I1213 12:14:08.675277  1380 net.cpp:418] loss -> loss
I1213 12:14:08.675277  1380 layer_factory.hpp:77] Creating layer loss
I1213 12:14:08.678781  1380 net.cpp:150] Setting up loss
I1213 12:14:08.679280  1380 net.cpp:157] Top shape: (1)
I1213 12:14:08.679780  1380 net.cpp:160]     with loss weight 1
I1213 12:14:08.680280  1380 net.cpp:165] Memory required for data: 438441100
I1213 12:14:08.680280  1380 net.cpp:226] loss needs backward computation.
I1213 12:14:08.680280  1380 net.cpp:226] score needs backward computation.
I1213 12:14:08.680280  1380 net.cpp:226] upscore8 needs backward computation.
I1213 12:14:08.680280  1380 net.cpp:226] fuse_pool3 needs backward computation.
I1213 12:14:08.680280  1380 net.cpp:226] score_pool3c needs backward computation.
I1213 12:14:08.680280  1380 net.cpp:226] score_pool3 needs backward computation.
I1213 12:14:08.682281  1380 net.cpp:226] upscore_pool4_upscore_pool4_0_split needs backward computation.
I1213 12:14:08.682782  1380 net.cpp:226] upscore_pool4 needs backward computation.
I1213 12:14:08.682782  1380 net.cpp:226] fuse_pool4 needs backward computation.
I1213 12:14:08.682782  1380 net.cpp:226] score_pool4c needs backward computation.
I1213 12:14:08.683282  1380 net.cpp:226] score_pool4 needs backward computation.
I1213 12:14:08.683282  1380 net.cpp:226] upscore2_upscore2_0_split needs backward computation.
I1213 12:14:08.683282  1380 net.cpp:226] upscore2 needs backward computation.
I1213 12:14:08.683282  1380 net.cpp:226] score_fr needs backward computation.
I1213 12:14:08.683282  1380 net.cpp:226] drop7 needs backward computation.
I1213 12:14:08.683784  1380 net.cpp:226] relu7 needs backward computation.
I1213 12:14:08.683784  1380 net.cpp:226] fc7 needs backward computation.
I1213 12:14:08.683784  1380 net.cpp:226] drop6 needs backward computation.
I1213 12:14:08.683784  1380 net.cpp:226] relu6 needs backward computation.
I1213 12:14:08.684284  1380 net.cpp:226] fc6 needs backward computation.
I1213 12:14:08.684284  1380 net.cpp:226] pool5 needs backward computation.
I1213 12:14:08.684284  1380 net.cpp:226] relu5_3 needs backward computation.
I1213 12:14:08.684783  1380 net.cpp:226] conv5_3 needs backward computation.
I1213 12:14:08.685284  1380 net.cpp:226] relu5_2 needs backward computation.
I1213 12:14:08.685784  1380 net.cpp:226] conv5_2 needs backward computation.
I1213 12:14:08.686285  1380 net.cpp:226] relu5_1 needs backward computation.
I1213 12:14:08.686285  1380 net.cpp:226] conv5_1 needs backward computation.
I1213 12:14:08.686285  1380 net.cpp:226] pool4_pool4_0_split needs backward computation.
I1213 12:14:08.686285  1380 net.cpp:226] pool4 needs backward computation.
I1213 12:14:08.687286  1380 net.cpp:226] relu4_3 needs backward computation.
I1213 12:14:08.687286  1380 net.cpp:226] conv4_3 needs backward computation.
I1213 12:14:08.687286  1380 net.cpp:226] relu4_2 needs backward computation.
I1213 12:14:08.687286  1380 net.cpp:226] conv4_2 needs backward computation.
I1213 12:14:08.687286  1380 net.cpp:226] relu4_1 needs backward computation.
I1213 12:14:08.688787  1380 net.cpp:226] conv4_1 needs backward computation.
I1213 12:14:08.688787  1380 net.cpp:226] pool3_pool3_0_split needs backward computation.
I1213 12:14:08.688787  1380 net.cpp:226] pool3 needs backward computation.
I1213 12:14:08.689286  1380 net.cpp:226] relu3_3 needs backward computation.
I1213 12:14:08.690287  1380 net.cpp:226] conv3_3 needs backward computation.
I1213 12:14:08.690287  1380 net.cpp:226] relu3_2 needs backward computation.
I1213 12:14:08.690287  1380 net.cpp:226] conv3_2 needs backward computation.
I1213 12:14:08.690287  1380 net.cpp:226] relu3_1 needs backward computation.
I1213 12:14:08.691288  1380 net.cpp:226] conv3_1 needs backward computation.
I1213 12:14:08.691288  1380 net.cpp:226] pool2 needs backward computation.
I1213 12:14:08.691288  1380 net.cpp:226] relu2_2 needs backward computation.
I1213 12:14:08.691288  1380 net.cpp:226] conv2_2 needs backward computation.
I1213 12:14:08.691788  1380 net.cpp:226] relu2_1 needs backward computation.
I1213 12:14:08.692291  1380 net.cpp:226] conv2_1 needs backward computation.
I1213 12:14:08.692790  1380 net.cpp:226] pool1 needs backward computation.
I1213 12:14:08.692790  1380 net.cpp:226] relu1_2 needs backward computation.
I1213 12:14:08.692790  1380 net.cpp:226] conv1_2 needs backward computation.
I1213 12:14:08.693289  1380 net.cpp:226] relu1_1 needs backward computation.
I1213 12:14:08.693289  1380 net.cpp:226] conv1_1 needs backward computation.
I1213 12:14:08.693289  1380 net.cpp:228] label does not need backward computation.
I1213 12:14:08.693789  1380 net.cpp:228] data_data_0_split does not need backward computation.
I1213 12:14:08.694290  1380 net.cpp:228] data does not need backward computation.
I1213 12:14:08.694290  1380 net.cpp:270] This network produces output loss
I1213 12:14:08.694290  1380 net.cpp:283] Network initialization done.
I1213 12:14:08.695791  1380 solver.cpp:181] Creating test net (#0) specified by net file: train_val.prototxt
I1213 12:14:08.695791  1380 net.cpp:332] The NetState phase (1) differed from the phase (0) specified by a rule in layer data
I1213 12:14:08.698796  1380 net.cpp:332] The NetState phase (1) differed from the phase (0) specified by a rule in layer label
I1213 12:14:08.699795  1380 net.cpp:58] Initializing net from parameters: 
state {
  phase: TEST
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  include {
    phase: TEST
  }
  transform_param {
    scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_val_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_val"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "label"
  type: "Data"
  top: "label"
  include {
    phase: TEST
  }
  transform_param {
    scale: 0.00390625
    mean_file: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_val_mean.binaryproto"
  }
  data_param {
    source: "G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_val"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "data"
  top: "conv1_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 100
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu1_1"
  type: "ReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  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
  }
}
layer {
  name: "relu1_2"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1_2"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2_1"
  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
  }
}
layer {
  name: "relu2_1"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}
layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  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
  }
}
layer {
  name: "relu2_2"
  type: "ReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2_2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3_1"
  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
  }
}
layer {
  name: "relu3_1"
  type: "ReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}
layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  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
  }
}
layer {
  name: "relu3_2"
  type: "ReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}
layer {
  name: "conv3_3"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv3_3"
  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
  }
}
layer {
  name: "relu3_3"
  type: "ReLU"
  bottom: "conv3_3"
  top: "conv3_3"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv3_3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "pool3"
  top: "conv4_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_1"
  type: "ReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}
layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_2"
  type: "ReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}
layer {
  name: "conv4_3"
  type: "Convolution"
  bottom: "conv4_2"
  top: "conv4_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_3"
  type: "ReLU"
  bottom: "conv4_3"
  top: "conv4_3"
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv4_3"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv5_1"
  type: "Convolution"
  bottom: "pool4"
  top: "conv5_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_1"
  type: "ReLU"
  bottom: "conv5_1"
  top: "conv5_1"
}
layer {
  name: "conv5_2"
  type: "Convolution"
  bottom: "conv5_1"
  top: "conv5_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_2"
  type: "ReLU"
  bottom: "conv5_2"
  top: "conv5_2"
}
layer {
  name: "conv5_3"
  type: "Convolution"
  bottom: "conv5_2"
  top: "conv5_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_3"
  type: "ReLU"
  bottom: "conv5_3"
  top: "conv5_3"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5_3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "Convolution"
  bottom: "pool5"
  top: "fc6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc7"
  type: "Convolution"
  bottom: "fc6"
  top: "fc7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "score_fr"
  type: "Convolution"
  bottom: "fc7"
  top: "score_fr"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
  }
}
layer {
  name: "upscore2"
  type: "Deconvolution"
  bottom: "score_fr"
  top: "upscore2"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
  }
}
layer {
  name: "score_pool4"
  type: "Convolution"
  bottom: "pool4"
  top: "score_pool4"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
  }
}
layer {
  name: "score_pool4c"
  type: "Crop"
  bottom: "score_pool4"
  bottom: "upscore2"
  top: "score_pool4c"
  crop_param {
    axis: 2
    offset: 5
  }
}
layer {
  name: "fuse_pool4"
  type: "Eltwise"
  bottom: "upscore2"
  bottom: "score_pool4c"
  top: "fuse_pool4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore_pool4"
  type: "Deconvolution"
  bottom: "fuse_pool4"
  top: "upscore_pool4"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
  }
}
layer {
  name: "score_pool3"
  type: "Convolution"
  bottom: "pool3"
  top: "score_pool3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
  }
}
layer {
  name: "score_pool3c"
  type: "Crop"
  bottom: "score_pool3"
  bottom: "upscore_pool4"
  top: "score_pool3c"
  crop_param {
    axis: 2
    offset: 9
  }
}
layer {
  name: "fuse_pool3"
  type: "Eltwise"
  bottom: "upscore_pool4"
  bottom: "score_pool3c"
  top: "fuse_pool3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore8"
  type: "Deconvolution"
  bottom: "fuse_pool3"
  top: "upscore8"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 16
    stride: 8
  }
}
layer {
  name: "score"
  type: "Crop"
  bottom: "upscore8"
  bottom: "data"
  top: "score"
  crop_param {
    axis: 2
    offset: 31
  }
}
layer {
  name: "accuracy"
  type: "Accuracy"
  bottom: "score"
  bottom: "label"
  top: "accuracy"
  include {
    phase: TEST
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "score"
  bottom: "label"
  top: "loss"
  loss_param {
    ignore_label: 255
    normalize: false
  }
}
I1213 12:14:08.702296  1380 layer_factory.hpp:77] Creating layer data
I1213 12:14:08.703297  1380 net.cpp:100] Creating Layer data
I1213 12:14:08.704798  1380 net.cpp:418] data -> data
I1213 12:14:08.705298  7864 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:08.706300  1380 data_transformer.cpp:25] Loading mean file from: G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_val_mean.binaryproto
I1213 12:14:08.707300  7864 db_lmdb.cpp:40] Opened lmdb G:/interest_of_imags_for_recognation/VOC2007/Resize224/Img_val
I1213 12:14:08.709803  1380 data_layer.cpp:41] output data size: 1,3,224,224
I1213 12:14:08.715806  1380 net.cpp:150] Setting up data
I1213 12:14:08.716306  1380 net.cpp:157] Top shape: 1 3 224 224 (150528)
I1213 12:14:08.716807  1380 net.cpp:165] Memory required for data: 602112
I1213 12:14:08.716807  1380 layer_factory.hpp:77] Creating layer data_data_0_split
I1213 12:14:08.717808 13228 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:08.718808  1380 net.cpp:100] Creating Layer data_data_0_split
I1213 12:14:08.720309  1380 net.cpp:444] data_data_0_split <- data
I1213 12:14:08.722811  1380 net.cpp:418] data_data_0_split -> data_data_0_split_0
I1213 12:14:08.723311  1380 net.cpp:418] data_data_0_split -> data_data_0_split_1
I1213 12:14:08.723311  1380 net.cpp:150] Setting up data_data_0_split
I1213 12:14:08.723811  1380 net.cpp:157] Top shape: 1 3 224 224 (150528)
I1213 12:14:08.724812  1380 net.cpp:157] Top shape: 1 3 224 224 (150528)
I1213 12:14:08.724812  1380 net.cpp:165] Memory required for data: 1806336
I1213 12:14:08.724812  1380 layer_factory.hpp:77] Creating layer label
I1213 12:14:08.725312  1380 net.cpp:100] Creating Layer label
I1213 12:14:08.725813  1380 net.cpp:418] label -> label
I1213 12:14:08.727314  1380 data_transformer.cpp:25] Loading mean file from: G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_val_mean.binaryproto
I1213 12:14:08.727814  2624 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:08.730816  2624 db_lmdb.cpp:40] Opened lmdb G:/interest_of_imags_for_recognation/VOC2007/Resize224/Label_val
I1213 12:14:08.731317  1380 data_layer.cpp:41] output data size: 1,1,224,224
I1213 12:14:08.733319  1380 net.cpp:150] Setting up label
I1213 12:14:08.733319  1380 net.cpp:157] Top shape: 1 1 224 224 (50176)
I1213 12:14:08.734318  5184 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I1213 12:14:08.734819  1380 net.cpp:165] Memory required for data: 2007040
I1213 12:14:08.736820  1380 layer_factory.hpp:77] Creating layer label_label_0_split
I1213 12:14:08.737321  1380 net.cpp:100] Creating Layer label_label_0_split
I1213 12:14:08.738822  1380 net.cpp:444] label_label_0_split <- label
I1213 12:14:08.739823  1380 net.cpp:418] label_label_0_split -> label_label_0_split_0
I1213 12:14:08.739823  1380 net.cpp:418] label_label_0_split -> label_label_0_split_1
I1213 12:14:08.740324  1380 net.cpp:150] Setting up label_label_0_split
I1213 12:14:08.740823  1380 net.cpp:157] Top shape: 1 1 224 224 (50176)
I1213 12:14:08.741324  1380 net.cpp:157] Top shape: 1 1 224 224 (50176)
I1213 12:14:08.742324  1380 net.cpp:165] Memory required for data: 2408448
I1213 12:14:08.743825  1380 layer_factory.hpp:77] Creating layer conv1_1
I1213 12:14:08.744827  1380 net.cpp:100] Creating Layer conv1_1
I1213 12:14:08.745326  1380 net.cpp:444] conv1_1 <- data_data_0_split_0
I1213 12:14:08.746327  1380 net.cpp:418] conv1_1 -> conv1_1
I1213 12:14:08.749830  1380 net.cpp:150] Setting up conv1_1
I1213 12:14:08.749830  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.750830  1380 net.cpp:165] Memory required for data: 47997952
I1213 12:14:08.751332  1380 layer_factory.hpp:77] Creating layer relu1_1
I1213 12:14:08.751832  1380 net.cpp:100] Creating Layer relu1_1
I1213 12:14:08.752832  1380 net.cpp:444] relu1_1 <- conv1_1
I1213 12:14:08.753332  1380 net.cpp:405] relu1_1 -> conv1_1 (in-place)
I1213 12:14:08.756836  1380 net.cpp:150] Setting up relu1_1
I1213 12:14:08.757336  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.757835  1380 net.cpp:165] Memory required for data: 93587456
I1213 12:14:08.760339  1380 layer_factory.hpp:77] Creating layer conv1_2
I1213 12:14:08.761338  1380 net.cpp:100] Creating Layer conv1_2
I1213 12:14:08.761838  1380 net.cpp:444] conv1_2 <- conv1_1
I1213 12:14:08.762339  1380 net.cpp:418] conv1_2 -> conv1_2
I1213 12:14:08.767343  1380 net.cpp:150] Setting up conv1_2
I1213 12:14:08.767843  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.768343  1380 net.cpp:165] Memory required for data: 139176960
I1213 12:14:08.769345  1380 layer_factory.hpp:77] Creating layer relu1_2
I1213 12:14:08.769845  1380 net.cpp:100] Creating Layer relu1_2
I1213 12:14:08.771845  1380 net.cpp:444] relu1_2 <- conv1_2
I1213 12:14:08.772346  1380 net.cpp:405] relu1_2 -> conv1_2 (in-place)
I1213 12:14:08.775348  1380 net.cpp:150] Setting up relu1_2
I1213 12:14:08.775849  1380 net.cpp:157] Top shape: 1 64 422 422 (11397376)
I1213 12:14:08.776350  1380 net.cpp:165] Memory required for data: 184766464
I1213 12:14:08.777349  1380 layer_factory.hpp:77] Creating layer pool1
I1213 12:14:08.778350  1380 net.cpp:100] Creating Layer pool1
I1213 12:14:08.778851  1380 net.cpp:444] pool1 <- conv1_2
I1213 12:14:08.779851  1380 net.cpp:418] pool1 -> pool1
I1213 12:14:08.780853  1380 net.cpp:150] Setting up pool1
I1213 12:14:08.781352  1380 net.cpp:157] Top shape: 1 64 211 211 (2849344)
I1213 12:14:08.782353  1380 net.cpp:165] Memory required for data: 196163840
I1213 12:14:08.782853  1380 layer_factory.hpp:77] Creating layer conv2_1
I1213 12:14:08.783854  1380 net.cpp:100] Creating Layer conv2_1
I1213 12:14:08.784854  1380 net.cpp:444] conv2_1 <- pool1
I1213 12:14:08.785356  1380 net.cpp:418] conv2_1 -> conv2_1
I1213 12:14:08.791860  1380 net.cpp:150] Setting up conv2_1
I1213 12:14:08.791860  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.792861  1380 net.cpp:165] Memory required for data: 218958592
I1213 12:14:08.793861  1380 layer_factory.hpp:77] Creating layer relu2_1
I1213 12:14:08.794363  1380 net.cpp:100] Creating Layer relu2_1
I1213 12:14:08.794862  1380 net.cpp:444] relu2_1 <- conv2_1
I1213 12:14:08.795362  1380 net.cpp:405] relu2_1 -> conv2_1 (in-place)
I1213 12:14:08.796363  1380 net.cpp:150] Setting up relu2_1
I1213 12:14:08.796363  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.796864  1380 net.cpp:165] Memory required for data: 241753344
I1213 12:14:08.797363  1380 layer_factory.hpp:77] Creating layer conv2_2
I1213 12:14:08.797864  1380 net.cpp:100] Creating Layer conv2_2
I1213 12:14:08.798364  1380 net.cpp:444] conv2_2 <- conv2_1
I1213 12:14:08.798864  1380 net.cpp:418] conv2_2 -> conv2_2
I1213 12:14:08.802367  1380 net.cpp:150] Setting up conv2_2
I1213 12:14:08.802367  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.803367  1380 net.cpp:165] Memory required for data: 264548096
I1213 12:14:08.803869  1380 layer_factory.hpp:77] Creating layer relu2_2
I1213 12:14:08.804869  1380 net.cpp:100] Creating Layer relu2_2
I1213 12:14:08.807371  1380 net.cpp:444] relu2_2 <- conv2_2
I1213 12:14:08.808372  1380 net.cpp:405] relu2_2 -> conv2_2 (in-place)
I1213 12:14:08.809875  1380 net.cpp:150] Setting up relu2_2
I1213 12:14:08.810374  1380 net.cpp:157] Top shape: 1 128 211 211 (5698688)
I1213 12:14:08.810874  1380 net.cpp:165] Memory required for data: 287342848
I1213 12:14:08.811373  1380 layer_factory.hpp:77] Creating layer pool2
I1213 12:14:08.811874  1380 net.cpp:100] Creating Layer pool2
I1213 12:14:08.812374  1380 net.cpp:444] pool2 <- conv2_2
I1213 12:14:08.812875  1380 net.cpp:418] pool2 -> pool2
I1213 12:14:08.813375  1380 net.cpp:150] Setting up pool2
I1213 12:14:08.813875  1380 net.cpp:157] Top shape: 1 128 106 106 (1438208)
I1213 12:14:08.814376  1380 net.cpp:165] Memory required for data: 293095680
I1213 12:14:08.814877  1380 layer_factory.hpp:77] Creating layer conv3_1
I1213 12:14:08.815376  1380 net.cpp:100] Creating Layer conv3_1
I1213 12:14:08.815877  1380 net.cpp:444] conv3_1 <- pool2
I1213 12:14:08.816377  1380 net.cpp:418] conv3_1 -> conv3_1
I1213 12:14:08.819380  1380 net.cpp:150] Setting up conv3_1
I1213 12:14:08.819380  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.819880  1380 net.cpp:165] Memory required for data: 304601344
I1213 12:14:08.822382  1380 layer_factory.hpp:77] Creating layer relu3_1
I1213 12:14:08.823384  1380 net.cpp:100] Creating Layer relu3_1
I1213 12:14:08.823884  1380 net.cpp:444] relu3_1 <- conv3_1
I1213 12:14:08.824383  1380 net.cpp:405] relu3_1 -> conv3_1 (in-place)
I1213 12:14:08.826386  1380 net.cpp:150] Setting up relu3_1
I1213 12:14:08.826886  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.827386  1380 net.cpp:165] Memory required for data: 316107008
I1213 12:14:08.828387  1380 layer_factory.hpp:77] Creating layer conv3_2
I1213 12:14:08.828887  1380 net.cpp:100] Creating Layer conv3_2
I1213 12:14:08.829887  1380 net.cpp:444] conv3_2 <- conv3_1
I1213 12:14:08.830387  1380 net.cpp:418] conv3_2 -> conv3_2
I1213 12:14:08.838393  1380 net.cpp:150] Setting up conv3_2
I1213 12:14:08.838393  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.838893  1380 net.cpp:165] Memory required for data: 327612672
I1213 12:14:08.840395  1380 layer_factory.hpp:77] Creating layer relu3_2
I1213 12:14:08.840894  1380 net.cpp:100] Creating Layer relu3_2
I1213 12:14:08.841395  1380 net.cpp:444] relu3_2 <- conv3_2
I1213 12:14:08.841895  1380 net.cpp:405] relu3_2 -> conv3_2 (in-place)
I1213 12:14:08.842896  1380 net.cpp:150] Setting up relu3_2
I1213 12:14:08.842896  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.843397  1380 net.cpp:165] Memory required for data: 339118336
I1213 12:14:08.844398  1380 layer_factory.hpp:77] Creating layer conv3_3
I1213 12:14:08.844898  1380 net.cpp:100] Creating Layer conv3_3
I1213 12:14:08.845397  1380 net.cpp:444] conv3_3 <- conv3_2
I1213 12:14:08.845899  1380 net.cpp:418] conv3_3 -> conv3_3
I1213 12:14:08.850401  1380 net.cpp:150] Setting up conv3_3
I1213 12:14:08.850401  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.851402  1380 net.cpp:165] Memory required for data: 350624000
I1213 12:14:08.851903  1380 layer_factory.hpp:77] Creating layer relu3_3
I1213 12:14:08.852403  1380 net.cpp:100] Creating Layer relu3_3
I1213 12:14:08.852903  1380 net.cpp:444] relu3_3 <- conv3_3
I1213 12:14:08.853404  1380 net.cpp:405] relu3_3 -> conv3_3 (in-place)
I1213 12:14:08.854964  1380 net.cpp:150] Setting up relu3_3
I1213 12:14:08.855406  1380 net.cpp:157] Top shape: 1 256 106 106 (2876416)
I1213 12:14:08.855906  1380 net.cpp:165] Memory required for data: 362129664
I1213 12:14:08.856405  1380 layer_factory.hpp:77] Creating layer pool3
I1213 12:14:08.856906  1380 net.cpp:100] Creating Layer pool3
I1213 12:14:08.857406  1380 net.cpp:444] pool3 <- conv3_3
I1213 12:14:08.857906  1380 net.cpp:418] pool3 -> pool3
I1213 12:14:08.858907  1380 net.cpp:150] Setting up pool3
I1213 12:14:08.858907  1380 net.cpp:157] Top shape: 1 256 53 53 (719104)
I1213 12:14:08.859908  1380 net.cpp:165] Memory required for data: 365006080
I1213 12:14:08.860409  1380 layer_factory.hpp:77] Creating layer pool3_pool3_0_split
I1213 12:14:08.860909  1380 net.cpp:100] Creating Layer pool3_pool3_0_split
I1213 12:14:08.860909  1380 net.cpp:444] pool3_pool3_0_split <- pool3
I1213 12:14:08.861409  1380 net.cpp:418] pool3_pool3_0_split -> pool3_pool3_0_split_0
I1213 12:14:08.861910  1380 net.cpp:418] pool3_pool3_0_split -> pool3_pool3_0_split_1
I1213 12:14:08.862910  1380 net.cpp:150] Setting up pool3_pool3_0_split
I1213 12:14:08.862910  1380 net.cpp:157] Top shape: 1 256 53 53 (719104)
I1213 12:14:08.863410  1380 net.cpp:157] Top shape: 1 256 53 53 (719104)
I1213 12:14:08.863910  1380 net.cpp:165] Memory required for data: 370758912
I1213 12:14:08.864411  1380 layer_factory.hpp:77] Creating layer conv4_1
I1213 12:14:08.864912  1380 net.cpp:100] Creating Layer conv4_1
I1213 12:14:08.865412  1380 net.cpp:444] conv4_1 <- pool3_pool3_0_split_0
I1213 12:14:08.865913  1380 net.cpp:418] conv4_1 -> conv4_1
I1213 12:14:08.871917  1380 net.cpp:150] Setting up conv4_1
I1213 12:14:08.871917  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.872918  1380 net.cpp:165] Memory required for data: 376511744
I1213 12:14:08.873417  1380 layer_factory.hpp:77] Creating layer relu4_1
I1213 12:14:08.874919  1380 net.cpp:100] Creating Layer relu4_1
I1213 12:14:08.875419  1380 net.cpp:444] relu4_1 <- conv4_1
I1213 12:14:08.875921  1380 net.cpp:405] relu4_1 -> conv4_1 (in-place)
I1213 12:14:08.877421  1380 net.cpp:150] Setting up relu4_1
I1213 12:14:08.877421  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.877921  1380 net.cpp:165] Memory required for data: 382264576
I1213 12:14:08.878422  1380 layer_factory.hpp:77] Creating layer conv4_2
I1213 12:14:08.878922  1380 net.cpp:100] Creating Layer conv4_2
I1213 12:14:08.879422  1380 net.cpp:444] conv4_2 <- conv4_1
I1213 12:14:08.879923  1380 net.cpp:418] conv4_2 -> conv4_2
I1213 12:14:08.885927  1380 net.cpp:150] Setting up conv4_2
I1213 12:14:08.885927  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.886929  1380 net.cpp:165] Memory required for data: 388017408
I1213 12:14:08.886929  1380 layer_factory.hpp:77] Creating layer relu4_2
I1213 12:14:08.886929  1380 net.cpp:100] Creating Layer relu4_2
I1213 12:14:08.886929  1380 net.cpp:444] relu4_2 <- conv4_2
I1213 12:14:08.886929  1380 net.cpp:405] relu4_2 -> conv4_2 (in-place)
I1213 12:14:08.887929  1380 net.cpp:150] Setting up relu4_2
I1213 12:14:08.888429  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.888929  1380 net.cpp:165] Memory required for data: 393770240
I1213 12:14:08.890933  1380 layer_factory.hpp:77] Creating layer conv4_3
I1213 12:14:08.891433  1380 net.cpp:100] Creating Layer conv4_3
I1213 12:14:08.891433  1380 net.cpp:444] conv4_3 <- conv4_2
I1213 12:14:08.891433  1380 net.cpp:418] conv4_3 -> conv4_3
I1213 12:14:08.897935  1380 net.cpp:150] Setting up conv4_3
I1213 12:14:08.897935  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.898437  1380 net.cpp:165] Memory required for data: 399523072
I1213 12:14:08.898936  1380 layer_factory.hpp:77] Creating layer relu4_3
I1213 12:14:08.899437  1380 net.cpp:100] Creating Layer relu4_3
I1213 12:14:08.899937  1380 net.cpp:444] relu4_3 <- conv4_3
I1213 12:14:08.900437  1380 net.cpp:405] relu4_3 -> conv4_3 (in-place)
I1213 12:14:08.901938  1380 net.cpp:150] Setting up relu4_3
I1213 12:14:08.902438  1380 net.cpp:157] Top shape: 1 512 53 53 (1438208)
I1213 12:14:08.902938  1380 net.cpp:165] Memory required for data: 405275904
I1213 12:14:08.903439  1380 layer_factory.hpp:77] Creating layer pool4
I1213 12:14:08.903939  1380 net.cpp:100] Creating Layer pool4
I1213 12:14:08.904940  1380 net.cpp:444] pool4 <- conv4_3
I1213 12:14:08.907443  1380 net.cpp:418] pool4 -> pool4
I1213 12:14:08.907443  1380 net.cpp:150] Setting up pool4
I1213 12:14:08.907943  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.908443  1380 net.cpp:165] Memory required for data: 406768896
I1213 12:14:08.908443  1380 layer_factory.hpp:77] Creating layer pool4_pool4_0_split
I1213 12:14:08.908443  1380 net.cpp:100] Creating Layer pool4_pool4_0_split
I1213 12:14:08.908943  1380 net.cpp:444] pool4_pool4_0_split <- pool4
I1213 12:14:08.909443  1380 net.cpp:418] pool4_pool4_0_split -> pool4_pool4_0_split_0
I1213 12:14:08.909945  1380 net.cpp:418] pool4_pool4_0_split -> pool4_pool4_0_split_1
I1213 12:14:08.910444  1380 net.cpp:150] Setting up pool4_pool4_0_split
I1213 12:14:08.910944  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.911445  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.911445  1380 net.cpp:165] Memory required for data: 409754880
I1213 12:14:08.911445  1380 layer_factory.hpp:77] Creating layer conv5_1
I1213 12:14:08.911945  1380 net.cpp:100] Creating Layer conv5_1
I1213 12:14:08.912446  1380 net.cpp:444] conv5_1 <- pool4_pool4_0_split_0
I1213 12:14:08.912946  1380 net.cpp:418] conv5_1 -> conv5_1
I1213 12:14:08.919451  1380 net.cpp:150] Setting up conv5_1
I1213 12:14:08.919451  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.919951  1380 net.cpp:165] Memory required for data: 411247872
I1213 12:14:08.922454  1380 layer_factory.hpp:77] Creating layer relu5_1
I1213 12:14:08.922953  1380 net.cpp:100] Creating Layer relu5_1
I1213 12:14:08.923954  1380 net.cpp:444] relu5_1 <- conv5_1
I1213 12:14:08.923954  1380 net.cpp:405] relu5_1 -> conv5_1 (in-place)
I1213 12:14:08.924454  1380 net.cpp:150] Setting up relu5_1
I1213 12:14:08.924955  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.925456  1380 net.cpp:165] Memory required for data: 412740864
I1213 12:14:08.925956  1380 layer_factory.hpp:77] Creating layer conv5_2
I1213 12:14:08.926456  1380 net.cpp:100] Creating Layer conv5_2
I1213 12:14:08.926956  1380 net.cpp:444] conv5_2 <- conv5_1
I1213 12:14:08.927458  1380 net.cpp:418] conv5_2 -> conv5_2
I1213 12:14:08.933961  1380 net.cpp:150] Setting up conv5_2
I1213 12:14:08.933961  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.934463  1380 net.cpp:165] Memory required for data: 414233856
I1213 12:14:08.934962  1380 layer_factory.hpp:77] Creating layer relu5_2
I1213 12:14:08.935462  1380 net.cpp:100] Creating Layer relu5_2
I1213 12:14:08.938464  1380 net.cpp:444] relu5_2 <- conv5_2
I1213 12:14:08.938464  1380 net.cpp:405] relu5_2 -> conv5_2 (in-place)
I1213 12:14:08.939966  1380 net.cpp:150] Setting up relu5_2
I1213 12:14:08.940466  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.940966  1380 net.cpp:165] Memory required for data: 415726848
I1213 12:14:08.941467  1380 layer_factory.hpp:77] Creating layer conv5_3
I1213 12:14:08.942467  1380 net.cpp:100] Creating Layer conv5_3
I1213 12:14:08.942467  1380 net.cpp:444] conv5_3 <- conv5_2
I1213 12:14:08.942467  1380 net.cpp:418] conv5_3 -> conv5_3
I1213 12:14:08.948472  1380 net.cpp:150] Setting up conv5_3
I1213 12:14:08.948472  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.948973  1380 net.cpp:165] Memory required for data: 417219840
I1213 12:14:08.949973  1380 layer_factory.hpp:77] Creating layer relu5_3
I1213 12:14:08.950474  1380 net.cpp:100] Creating Layer relu5_3
I1213 12:14:08.950973  1380 net.cpp:444] relu5_3 <- conv5_3
I1213 12:14:08.950973  1380 net.cpp:405] relu5_3 -> conv5_3 (in-place)
I1213 12:14:08.951975  1380 net.cpp:150] Setting up relu5_3
I1213 12:14:08.952976  1380 net.cpp:157] Top shape: 1 512 27 27 (373248)
I1213 12:14:08.952976  1380 net.cpp:165] Memory required for data: 418712832
I1213 12:14:08.952976  1380 layer_factory.hpp:77] Creating layer pool5
I1213 12:14:08.952976  1380 net.cpp:100] Creating Layer pool5
I1213 12:14:08.952976  1380 net.cpp:444] pool5 <- conv5_3
I1213 12:14:08.953476  1380 net.cpp:418] pool5 -> pool5
I1213 12:14:08.953476  1380 net.cpp:150] Setting up pool5
I1213 12:14:08.954977  1380 net.cpp:157] Top shape: 1 512 14 14 (100352)
I1213 12:14:08.955476  1380 net.cpp:165] Memory required for data: 419114240
I1213 12:14:08.955977  1380 layer_factory.hpp:77] Creating layer fc6
I1213 12:14:08.956979  1380 net.cpp:100] Creating Layer fc6
I1213 12:14:08.957479  1380 net.cpp:444] fc6 <- pool5
I1213 12:14:08.957979  1380 net.cpp:418] fc6 -> fc6
I1213 12:14:09.144121  1380 net.cpp:150] Setting up fc6
I1213 12:14:09.144121  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:09.144611  1380 net.cpp:165] Memory required for data: 420162816
I1213 12:14:09.145612  1380 layer_factory.hpp:77] Creating layer relu6
I1213 12:14:09.146113  1380 net.cpp:100] Creating Layer relu6
I1213 12:14:09.146613  1380 net.cpp:444] relu6 <- fc6
I1213 12:14:09.147114  1380 net.cpp:405] relu6 -> fc6 (in-place)
I1213 12:14:09.148114  1380 net.cpp:150] Setting up relu6
I1213 12:14:09.148114  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:09.148614  1380 net.cpp:165] Memory required for data: 421211392
I1213 12:14:09.149114  1380 layer_factory.hpp:77] Creating layer drop6
I1213 12:14:09.149616  1380 net.cpp:100] Creating Layer drop6
I1213 12:14:09.150615  1380 net.cpp:444] drop6 <- fc6
I1213 12:14:09.151116  1380 net.cpp:405] drop6 -> fc6 (in-place)
I1213 12:14:09.151617  1380 net.cpp:150] Setting up drop6
I1213 12:14:09.152117  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:09.153617  1380 net.cpp:165] Memory required for data: 422259968
I1213 12:14:09.154119  1380 layer_factory.hpp:77] Creating layer fc7
I1213 12:14:09.154618  1380 net.cpp:100] Creating Layer fc7
I1213 12:14:09.155119  1380 net.cpp:444] fc7 <- fc6
I1213 12:14:09.155619  1380 net.cpp:418] fc7 -> fc7
I1213 12:14:09.190145  1380 net.cpp:150] Setting up fc7
I1213 12:14:09.190145  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:09.191145  1380 net.cpp:165] Memory required for data: 423308544
I1213 12:14:09.191645  1380 layer_factory.hpp:77] Creating layer relu7
I1213 12:14:09.192145  1380 net.cpp:100] Creating Layer relu7
I1213 12:14:09.192646  1380 net.cpp:444] relu7 <- fc7
I1213 12:14:09.193145  1380 net.cpp:405] relu7 -> fc7 (in-place)
I1213 12:14:09.194146  1380 net.cpp:150] Setting up relu7
I1213 12:14:09.194146  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:09.194648  1380 net.cpp:165] Memory required for data: 424357120
I1213 12:14:09.195147  1380 layer_factory.hpp:77] Creating layer drop7
I1213 12:14:09.195647  1380 net.cpp:100] Creating Layer drop7
I1213 12:14:09.196148  1380 net.cpp:444] drop7 <- fc7
I1213 12:14:09.196648  1380 net.cpp:405] drop7 -> fc7 (in-place)
I1213 12:14:09.197149  1380 net.cpp:150] Setting up drop7
I1213 12:14:09.197649  1380 net.cpp:157] Top shape: 1 4096 8 8 (262144)
I1213 12:14:09.198149  1380 net.cpp:165] Memory required for data: 425405696
I1213 12:14:09.198650  1380 layer_factory.hpp:77] Creating layer score_fr
I1213 12:14:09.200150  1380 net.cpp:100] Creating Layer score_fr
I1213 12:14:09.200651  1380 net.cpp:444] score_fr <- fc7
I1213 12:14:09.201653  1380 net.cpp:418] score_fr -> score_fr
I1213 12:14:09.203654  1380 net.cpp:150] Setting up score_fr
I1213 12:14:09.204154  1380 net.cpp:157] Top shape: 1 21 8 8 (1344)
I1213 12:14:09.204654  1380 net.cpp:165] Memory required for data: 425411072
I1213 12:14:09.205155  1380 layer_factory.hpp:77] Creating layer upscore2
I1213 12:14:09.205656  1380 net.cpp:100] Creating Layer upscore2
I1213 12:14:09.206156  1380 net.cpp:444] upscore2 <- score_fr
I1213 12:14:09.207156  1380 net.cpp:418] upscore2 -> upscore2
I1213 12:14:09.207656  1380 net.cpp:150] Setting up upscore2
I1213 12:14:09.208156  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:09.208657  1380 net.cpp:165] Memory required for data: 425438288
I1213 12:14:09.209157  1380 layer_factory.hpp:77] Creating layer upscore2_upscore2_0_split
I1213 12:14:09.209657  1380 net.cpp:100] Creating Layer upscore2_upscore2_0_split
I1213 12:14:09.210157  1380 net.cpp:444] upscore2_upscore2_0_split <- upscore2
I1213 12:14:09.210659  1380 net.cpp:418] upscore2_upscore2_0_split -> upscore2_upscore2_0_split_0
I1213 12:14:09.211158  1380 net.cpp:418] upscore2_upscore2_0_split -> upscore2_upscore2_0_split_1
I1213 12:14:09.211659  1380 net.cpp:150] Setting up upscore2_upscore2_0_split
I1213 12:14:09.212159  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:09.212661  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:09.213160  1380 net.cpp:165] Memory required for data: 425492720
I1213 12:14:09.213660  1380 layer_factory.hpp:77] Creating layer score_pool4
I1213 12:14:09.214160  1380 net.cpp:100] Creating Layer score_pool4
I1213 12:14:09.216163  1380 net.cpp:444] score_pool4 <- pool4_pool4_0_split_1
I1213 12:14:09.216663  1380 net.cpp:418] score_pool4 -> score_pool4
I1213 12:14:09.219164  1380 net.cpp:150] Setting up score_pool4
I1213 12:14:09.219666  1380 net.cpp:157] Top shape: 1 21 27 27 (15309)
I1213 12:14:09.220165  1380 net.cpp:165] Memory required for data: 425553956
I1213 12:14:09.220665  1380 layer_factory.hpp:77] Creating layer score_pool4c
I1213 12:14:09.221166  1380 net.cpp:100] Creating Layer score_pool4c
I1213 12:14:09.221667  1380 net.cpp:444] score_pool4c <- score_pool4
I1213 12:14:09.222167  1380 net.cpp:444] score_pool4c <- upscore2_upscore2_0_split_0
I1213 12:14:09.222667  1380 net.cpp:418] score_pool4c -> score_pool4c
I1213 12:14:09.223167  1380 net.cpp:150] Setting up score_pool4c
I1213 12:14:09.223667  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:09.224169  1380 net.cpp:165] Memory required for data: 425581172
I1213 12:14:09.224668  1380 layer_factory.hpp:77] Creating layer fuse_pool4
I1213 12:14:09.225168  1380 net.cpp:100] Creating Layer fuse_pool4
I1213 12:14:09.225668  1380 net.cpp:444] fuse_pool4 <- upscore2_upscore2_0_split_1
I1213 12:14:09.226169  1380 net.cpp:444] fuse_pool4 <- score_pool4c
I1213 12:14:09.226670  1380 net.cpp:418] fuse_pool4 -> fuse_pool4
I1213 12:14:09.227170  1380 net.cpp:150] Setting up fuse_pool4
I1213 12:14:09.227670  1380 net.cpp:157] Top shape: 1 21 18 18 (6804)
I1213 12:14:09.228171  1380 net.cpp:165] Memory required for data: 425608388
I1213 12:14:09.228672  1380 layer_factory.hpp:77] Creating layer upscore_pool4
I1213 12:14:09.229171  1380 net.cpp:100] Creating Layer upscore_pool4
I1213 12:14:09.229672  1380 net.cpp:444] upscore_pool4 <- fuse_pool4
I1213 12:14:09.231673  1380 net.cpp:418] upscore_pool4 -> upscore_pool4
I1213 12:14:09.233175  1380 net.cpp:150] Setting up upscore_pool4
I1213 12:14:09.233175  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:09.233675  1380 net.cpp:165] Memory required for data: 425729684
I1213 12:14:09.234175  1380 layer_factory.hpp:77] Creating layer upscore_pool4_upscore_pool4_0_split
I1213 12:14:09.234676  1380 net.cpp:100] Creating Layer upscore_pool4_upscore_pool4_0_split
I1213 12:14:09.235177  1380 net.cpp:444] upscore_pool4_upscore_pool4_0_split <- upscore_pool4
I1213 12:14:09.235677  1380 net.cpp:418] upscore_pool4_upscore_pool4_0_split -> upscore_pool4_upscore_pool4_0_split_0
I1213 12:14:09.236176  1380 net.cpp:418] upscore_pool4_upscore_pool4_0_split -> upscore_pool4_upscore_pool4_0_split_1
I1213 12:14:09.236677  1380 net.cpp:150] Setting up upscore_pool4_upscore_pool4_0_split
I1213 12:14:09.237177  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:09.238178  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:09.238679  1380 net.cpp:165] Memory required for data: 425972276
I1213 12:14:09.239179  1380 layer_factory.hpp:77] Creating layer score_pool3
I1213 12:14:09.239680  1380 net.cpp:100] Creating Layer score_pool3
I1213 12:14:09.240180  1380 net.cpp:444] score_pool3 <- pool3_pool3_0_split_1
I1213 12:14:09.240680  1380 net.cpp:418] score_pool3 -> score_pool3
I1213 12:14:09.243181  1380 net.cpp:150] Setting up score_pool3
I1213 12:14:09.243682  1380 net.cpp:157] Top shape: 1 21 53 53 (58989)
I1213 12:14:09.244182  1380 net.cpp:165] Memory required for data: 426208232
I1213 12:14:09.244684  1380 layer_factory.hpp:77] Creating layer score_pool3c
I1213 12:14:09.245184  1380 net.cpp:100] Creating Layer score_pool3c
I1213 12:14:09.246685  1380 net.cpp:444] score_pool3c <- score_pool3
I1213 12:14:09.247186  1380 net.cpp:444] score_pool3c <- upscore_pool4_upscore_pool4_0_split_0
I1213 12:14:09.247687  1380 net.cpp:418] score_pool3c -> score_pool3c
I1213 12:14:09.248687  1380 net.cpp:150] Setting up score_pool3c
I1213 12:14:09.248687  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:09.249187  1380 net.cpp:165] Memory required for data: 426329528
I1213 12:14:09.250187  1380 layer_factory.hpp:77] Creating layer fuse_pool3
I1213 12:14:09.250687  1380 net.cpp:100] Creating Layer fuse_pool3
I1213 12:14:09.251188  1380 net.cpp:444] fuse_pool3 <- upscore_pool4_upscore_pool4_0_split_1
I1213 12:14:09.251688  1380 net.cpp:444] fuse_pool3 <- score_pool3c
I1213 12:14:09.252189  1380 net.cpp:418] fuse_pool3 -> fuse_pool3
I1213 12:14:09.252689  1380 net.cpp:150] Setting up fuse_pool3
I1213 12:14:09.253190  1380 net.cpp:157] Top shape: 1 21 38 38 (30324)
I1213 12:14:09.253690  1380 net.cpp:165] Memory required for data: 426450824
I1213 12:14:09.254191  1380 layer_factory.hpp:77] Creating layer upscore8
I1213 12:14:09.255190  1380 net.cpp:100] Creating Layer upscore8
I1213 12:14:09.255691  1380 net.cpp:444] upscore8 <- fuse_pool3
I1213 12:14:09.256192  1380 net.cpp:418] upscore8 -> upscore8
I1213 12:14:09.257701  1380 net.cpp:150] Setting up upscore8
I1213 12:14:09.258193  1380 net.cpp:157] Top shape: 1 21 312 312 (2044224)
I1213 12:14:09.258694  1380 net.cpp:165] Memory required for data: 434627720
I1213 12:14:09.259194  1380 layer_factory.hpp:77] Creating layer score
I1213 12:14:09.259694  1380 net.cpp:100] Creating Layer score
I1213 12:14:09.260195  1380 net.cpp:444] score <- upscore8
I1213 12:14:09.260695  1380 net.cpp:444] score <- data_data_0_split_1
I1213 12:14:09.262195  1380 net.cpp:418] score -> score
I1213 12:14:09.263198  1380 net.cpp:150] Setting up score
I1213 12:14:09.263696  1380 net.cpp:157] Top shape: 1 21 224 224 (1053696)
I1213 12:14:09.264197  1380 net.cpp:165] Memory required for data: 438842504
I1213 12:14:09.264698  1380 layer_factory.hpp:77] Creating layer score_score_0_split
I1213 12:14:09.265198  1380 net.cpp:100] Creating Layer score_score_0_split
I1213 12:14:09.265699  1380 net.cpp:444] score_score_0_split <- score
I1213 12:14:09.266199  1380 net.cpp:418] score_score_0_split -> score_score_0_split_0
I1213 12:14:09.266700  1380 net.cpp:418] score_score_0_split -> score_score_0_split_1
I1213 12:14:09.267200  1380 net.cpp:150] Setting up score_score_0_split
I1213 12:14:09.267700  1380 net.cpp:157] Top shape: 1 21 224 224 (1053696)
I1213 12:14:09.268200  1380 net.cpp:157] Top shape: 1 21 224 224 (1053696)
I1213 12:14:09.268700  1380 net.cpp:165] Memory required for data: 447272072
I1213 12:14:09.269201  1380 layer_factory.hpp:77] Creating layer accuracy
I1213 12:14:09.269701  1380 net.cpp:100] Creating Layer accuracy
I1213 12:14:09.270202  1380 net.cpp:444] accuracy <- score_score_0_split_0
I1213 12:14:09.270702  1380 net.cpp:444] accuracy <- label_label_0_split_0
I1213 12:14:09.271703  1380 net.cpp:418] accuracy -> accuracy
I1213 12:14:09.272202  1380 net.cpp:150] Setting up accuracy
I1213 12:14:09.272703  1380 net.cpp:157] Top shape: (1)
I1213 12:14:09.273203  1380 net.cpp:165] Memory required for data: 447272076
I1213 12:14:09.273704  1380 layer_factory.hpp:77] Creating layer loss
I1213 12:14:09.274204  1380 net.cpp:100] Creating Layer loss
I1213 12:14:09.274704  1380 net.cpp:444] loss <- score_score_0_split_1
I1213 12:14:09.275205  1380 net.cpp:444] loss <- label_label_0_split_1
I1213 12:14:09.275707  1380 net.cpp:418] loss -> loss
I1213 12:14:09.276206  1380 layer_factory.hpp:77] Creating layer loss
I1213 12:14:09.279708  1380 net.cpp:150] Setting up loss
I1213 12:14:09.280208  1380 net.cpp:157] Top shape: (1)
I1213 12:14:09.280709  1380 net.cpp:160]     with loss weight 1
I1213 12:14:09.281208  1380 net.cpp:165] Memory required for data: 447272080
I1213 12:14:09.281708  1380 net.cpp:226] loss needs backward computation.
I1213 12:14:09.282209  1380 net.cpp:228] accuracy does not need backward computation.
I1213 12:14:09.282709  1380 net.cpp:226] score_score_0_split needs backward computation.
I1213 12:14:09.283210  1380 net.cpp:226] score needs backward computation.
I1213 12:14:09.283710  1380 net.cpp:226] upscore8 needs backward computation.
I1213 12:14:09.284210  1380 net.cpp:226] fuse_pool3 needs backward computation.
I1213 12:14:09.284711  1380 net.cpp:226] score_pool3c needs backward computation.
I1213 12:14:09.285212  1380 net.cpp:226] score_pool3 needs backward computation.
I1213 12:14:09.285712  1380 net.cpp:226] upscore_pool4_upscore_pool4_0_split needs backward computation.
I1213 12:14:09.286212  1380 net.cpp:226] upscore_pool4 needs backward computation.
I1213 12:14:09.286712  1380 net.cpp:226] fuse_pool4 needs backward computation.
I1213 12:14:09.287214  1380 net.cpp:226] score_pool4c needs backward computation.
I1213 12:14:09.287714  1380 net.cpp:226] score_pool4 needs backward computation.
I1213 12:14:09.288714  1380 net.cpp:226] upscore2_upscore2_0_split needs backward computation.
I1213 12:14:09.289214  1380 net.cpp:226] upscore2 needs backward computation.
I1213 12:14:09.289715  1380 net.cpp:226] score_fr needs backward computation.
I1213 12:14:09.290215  1380 net.cpp:226] drop7 needs backward computation.
I1213 12:14:09.290715  1380 net.cpp:226] relu7 needs backward computation.
I1213 12:14:09.291216  1380 net.cpp:226] fc7 needs backward computation.
I1213 12:14:09.291716  1380 net.cpp:226] drop6 needs backward computation.
I1213 12:14:09.293217  1380 net.cpp:226] relu6 needs backward computation.
I1213 12:14:09.294219  1380 net.cpp:226] fc6 needs backward computation.
I1213 12:14:09.294718  1380 net.cpp:226] pool5 needs backward computation.
I1213 12:14:09.295218  1380 net.cpp:226] relu5_3 needs backward computation.
I1213 12:14:09.295719  1380 net.cpp:226] conv5_3 needs backward computation.
I1213 12:14:09.296221  1380 net.cpp:226] relu5_2 needs backward computation.
I1213 12:14:09.297220  1380 net.cpp:226] conv5_2 needs backward computation.
I1213 12:14:09.297721  1380 net.cpp:226] relu5_1 needs backward computation.
I1213 12:14:09.298221  1380 net.cpp:226] conv5_1 needs backward computation.
I1213 12:14:09.298722  1380 net.cpp:226] pool4_pool4_0_split needs backward computation.
I1213 12:14:09.299222  1380 net.cpp:226] pool4 needs backward computation.
I1213 12:14:09.299722  1380 net.cpp:226] relu4_3 needs backward computation.
I1213 12:14:09.300222  1380 net.cpp:226] conv4_3 needs backward computation.
I1213 12:14:09.300724  1380 net.cpp:226] relu4_2 needs backward computation.
I1213 12:14:09.301223  1380 net.cpp:226] conv4_2 needs backward computation.
I1213 12:14:09.301725  1380 net.cpp:226] relu4_1 needs backward computation.
I1213 12:14:09.302224  1380 net.cpp:226] conv4_1 needs backward computation.
I1213 12:14:09.302724  1380 net.cpp:226] pool3_pool3_0_split needs backward computation.
I1213 12:14:09.303225  1380 net.cpp:226] pool3 needs backward computation.
I1213 12:14:09.303725  1380 net.cpp:226] relu3_3 needs backward computation.
I1213 12:14:09.304225  1380 net.cpp:226] conv3_3 needs backward computation.
I1213 12:14:09.305227  1380 net.cpp:226] relu3_2 needs backward computation.
I1213 12:14:09.305727  1380 net.cpp:226] conv3_2 needs backward computation.
I1213 12:14:09.306226  1380 net.cpp:226] relu3_1 needs backward computation.
I1213 12:14:09.306726  1380 net.cpp:226] conv3_1 needs backward computation.
I1213 12:14:09.307227  1380 net.cpp:226] pool2 needs backward computation.
I1213 12:14:09.309229  1380 net.cpp:226] relu2_2 needs backward computation.
I1213 12:14:09.310231  1380 net.cpp:226] conv2_2 needs backward computation.
I1213 12:14:09.310731  1380 net.cpp:226] relu2_1 needs backward computation.
I1213 12:14:09.311230  1380 net.cpp:226] conv2_1 needs backward computation.
I1213 12:14:09.311731  1380 net.cpp:226] pool1 needs backward computation.
I1213 12:14:09.312232  1380 net.cpp:226] relu1_2 needs backward computation.
I1213 12:14:09.312731  1380 net.cpp:226] conv1_2 needs backward computation.
I1213 12:14:09.313232  1380 net.cpp:226] relu1_1 needs backward computation.
I1213 12:14:09.313732  1380 net.cpp:226] conv1_1 needs backward computation.
I1213 12:14:09.314234  1380 net.cpp:228] label_label_0_split does not need backward computation.
I1213 12:14:09.314733  1380 net.cpp:228] label does not need backward computation.
I1213 12:14:09.315233  1380 net.cpp:228] data_data_0_split does not need backward computation.
I1213 12:14:09.315734  1380 net.cpp:228] data does not need backward computation.
I1213 12:14:09.316234  1380 net.cpp:270] This network produces output accuracy
I1213 12:14:09.316735  1380 net.cpp:270] This network produces output loss
I1213 12:14:09.317235  1380 net.cpp:283] Network initialization done.
I1213 12:14:09.318235  1380 solver.cpp:60] Solver scaffolding done.
I1213 12:14:09.320236  1380 caffe.cpp:155] Finetuning from fcn8s-heavy-pascal.caffemodel
I1213 12:14:13.756211  1380 net.cpp:774] Copying source layer data
I1213 12:14:13.756702  1380 net.cpp:774] Copying source layer data_data_0_split
I1213 12:14:13.757203  1380 net.cpp:774] Copying source layer conv1_1
I1213 12:14:13.757203  1380 net.cpp:774] Copying source layer relu1_1
I1213 12:14:13.757704  1380 net.cpp:774] Copying source layer conv1_2
I1213 12:14:13.757704  1380 net.cpp:774] Copying source layer relu1_2
I1213 12:14:13.758203  1380 net.cpp:774] Copying source layer pool1
I1213 12:14:13.758203  1380 net.cpp:774] Copying source layer conv2_1
I1213 12:14:13.758703  1380 net.cpp:774] Copying source layer relu2_1
I1213 12:14:13.758703  1380 net.cpp:774] Copying source layer conv2_2
I1213 12:14:13.759204  1380 net.cpp:774] Copying source layer relu2_2
I1213 12:14:13.759704  1380 net.cpp:774] Copying source layer pool2
I1213 12:14:13.759704  1380 net.cpp:774] Copying source layer conv3_1
I1213 12:14:13.760705  1380 net.cpp:774] Copying source layer relu3_1
I1213 12:14:13.760705  1380 net.cpp:774] Copying source layer conv3_2
I1213 12:14:13.762207  1380 net.cpp:774] Copying source layer relu3_2
I1213 12:14:13.762207  1380 net.cpp:774] Copying source layer conv3_3
I1213 12:14:13.763208  1380 net.cpp:774] Copying source layer relu3_3
I1213 12:14:13.763707  1380 net.cpp:774] Copying source layer pool3
I1213 12:14:13.763707  1380 net.cpp:774] Copying source layer pool3_pool3_0_split
I1213 12:14:13.764207  1380 net.cpp:774] Copying source layer conv4_1
I1213 12:14:13.766211  1380 net.cpp:774] Copying source layer relu4_1
I1213 12:14:13.767215  1380 net.cpp:774] Copying source layer conv4_2
I1213 12:14:13.771214  1380 net.cpp:774] Copying source layer relu4_2
I1213 12:14:13.771714  1380 net.cpp:774] Copying source layer conv4_3
I1213 12:14:13.774719  1380 net.cpp:774] Copying source layer relu4_3
I1213 12:14:13.775215  1380 net.cpp:774] Copying source layer pool4
I1213 12:14:13.775215  1380 net.cpp:774] Copying source layer pool4_pool4_0_split
I1213 12:14:13.775717  1380 net.cpp:774] Copying source layer conv5_1
I1213 12:14:13.779729  1380 net.cpp:774] Copying source layer relu5_1
I1213 12:14:13.779729  1380 net.cpp:774] Copying source layer conv5_2
I1213 12:14:13.784723  1380 net.cpp:774] Copying source layer relu5_2
I1213 12:14:13.784723  1380 net.cpp:774] Copying source layer conv5_3
I1213 12:14:13.789227  1380 net.cpp:774] Copying source layer relu5_3
I1213 12:14:13.789227  1380 net.cpp:774] Copying source layer pool5
I1213 12:14:13.789726  1380 net.cpp:774] Copying source layer fc6
I1213 12:14:13.927826  1380 net.cpp:774] Copying source layer relu6
I1213 12:14:13.928326  1380 net.cpp:774] Copying source layer drop6
I1213 12:14:13.928825  1380 net.cpp:774] Copying source layer fc7
I1213 12:14:13.949340  1380 net.cpp:774] Copying source layer relu7
I1213 12:14:13.949340  1380 net.cpp:774] Copying source layer drop7
I1213 12:14:13.949841  1380 net.cpp:774] Copying source layer score_fr
I1213 12:14:13.950340  1380 net.cpp:774] Copying source layer upscore2
I1213 12:14:13.950340  1380 net.cpp:774] Copying source layer upscore2_upscore2_0_split
I1213 12:14:13.950840  1380 net.cpp:774] Copying source layer score_pool4
I1213 12:14:13.950840  1380 net.cpp:774] Copying source layer score_pool4c
I1213 12:14:13.951341  1380 net.cpp:774] Copying source layer fuse_pool4
I1213 12:14:13.951341  1380 net.cpp:774] Copying source layer upscore_pool4
I1213 12:14:13.952844  1380 net.cpp:774] Copying source layer upscore_pool4_upscore_pool4_0_split
I1213 12:14:13.953343  1380 net.cpp:774] Copying source layer score_pool3
I1213 12:14:13.953842  1380 net.cpp:774] Copying source layer score_pool3c
I1213 12:14:13.953842  1380 net.cpp:774] Copying source layer fuse_pool3
I1213 12:14:13.954344  1380 net.cpp:774] Copying source layer upscore8
I1213 12:14:13.954843  1380 net.cpp:774] Copying source layer score
I1213 12:14:13.954843  1380 net.cpp:774] Copying source layer loss
I1213 12:14:14.854532  1380 net.cpp:774] Copying source layer data
I1213 12:14:14.855533  1380 net.cpp:774] Copying source layer data_data_0_split
I1213 12:14:14.856040  1380 net.cpp:774] Copying source layer conv1_1
I1213 12:14:14.856040  1380 net.cpp:774] Copying source layer relu1_1
I1213 12:14:14.856533  1380 net.cpp:774] Copying source layer conv1_2
I1213 12:14:14.857034  1380 net.cpp:774] Copying source layer relu1_2
I1213 12:14:14.857034  1380 net.cpp:774] Copying source layer pool1
I1213 12:14:14.857533  1380 net.cpp:774] Copying source layer conv2_1
I1213 12:14:14.857533  1380 net.cpp:774] Copying source layer relu2_1
I1213 12:14:14.858036  1380 net.cpp:774] Copying source layer conv2_2
I1213 12:14:14.858536  1380 net.cpp:774] Copying source layer relu2_2
I1213 12:14:14.858536  1380 net.cpp:774] Copying source layer pool2
I1213 12:14:14.858536  1380 net.cpp:774] Copying source layer conv3_1
I1213 12:14:14.859539  1380 net.cpp:774] Copying source layer relu3_1
I1213 12:14:14.859539  1380 net.cpp:774] Copying source layer conv3_2
I1213 12:14:14.860539  1380 net.cpp:774] Copying source layer relu3_2
I1213 12:14:14.860539  1380 net.cpp:774] Copying source layer conv3_3
I1213 12:14:14.861539  1380 net.cpp:774] Copying source layer relu3_3
I1213 12:14:14.861539  1380 net.cpp:774] Copying source layer pool3
I1213 12:14:14.863039  1380 net.cpp:774] Copying source layer pool3_pool3_0_split
I1213 12:14:14.864039  1380 net.cpp:774] Copying source layer conv4_1
I1213 12:14:14.865545  1380 net.cpp:774] Copying source layer relu4_1
I1213 12:14:14.866041  1380 net.cpp:774] Copying source layer conv4_2
I1213 12:14:14.869045  1380 net.cpp:774] Copying source layer relu4_2
I1213 12:14:14.869045  1380 net.cpp:774] Copying source layer conv4_3
I1213 12:14:14.873046  1380 net.cpp:774] Copying source layer relu4_3
I1213 12:14:14.873545  1380 net.cpp:774] Copying source layer pool4
I1213 12:14:14.874047  1380 net.cpp:774] Copying source layer pool4_pool4_0_split
I1213 12:14:14.875052  1380 net.cpp:774] Copying source layer conv5_1
I1213 12:14:14.878060  1380 net.cpp:774] Copying source layer relu5_1
I1213 12:14:14.878548  1380 net.cpp:774] Copying source layer conv5_2
I1213 12:14:14.882055  1380 net.cpp:774] Copying source layer relu5_2
I1213 12:14:14.883080  1380 net.cpp:774] Copying source layer conv5_3
I1213 12:14:14.886059  1380 net.cpp:774] Copying source layer relu5_3
I1213 12:14:14.886555  1380 net.cpp:774] Copying source layer pool5
I1213 12:14:14.887054  1380 net.cpp:774] Copying source layer fc6
I1213 12:14:15.006645  1380 net.cpp:774] Copying source layer relu6
I1213 12:14:15.006645  1380 net.cpp:774] Copying source layer drop6
I1213 12:14:15.007140  1380 net.cpp:774] Copying source layer fc7
I1213 12:14:15.030658  1380 net.cpp:774] Copying source layer relu7
I1213 12:14:15.031158  1380 net.cpp:774] Copying source layer drop7
I1213 12:14:15.032158  1380 net.cpp:774] Copying source layer score_fr
I1213 12:14:15.034660  1380 net.cpp:774] Copying source layer upscore2
I1213 12:14:15.035661  1380 net.cpp:774] Copying source layer upscore2_upscore2_0_split
I1213 12:14:15.036164  1380 net.cpp:774] Copying source layer score_pool4
I1213 12:14:15.036666  1380 net.cpp:774] Copying source layer score_pool4c
I1213 12:14:15.036666  1380 net.cpp:774] Copying source layer fuse_pool4
I1213 12:14:15.037163  1380 net.cpp:774] Copying source layer upscore_pool4
I1213 12:14:15.037163  1380 net.cpp:774] Copying source layer upscore_pool4_upscore_pool4_0_split
I1213 12:14:15.038663  1380 net.cpp:774] Copying source layer score_pool3
I1213 12:14:15.038663  1380 net.cpp:774] Copying source layer score_pool3c
I1213 12:14:15.039165  1380 net.cpp:774] Copying source layer fuse_pool3
I1213 12:14:15.039664  1380 net.cpp:774] Copying source layer upscore8
I1213 12:14:15.040163  1380 net.cpp:774] Copying source layer score
I1213 12:14:15.042166  1380 net.cpp:774] Copying source layer loss
I1213 12:14:15.088698  1380 caffe.cpp:252] Starting Optimization
I1213 12:14:15.089200  1380 solver.cpp:279] Solving 
I1213 12:14:15.090199  1380 solver.cpp:280] Learning Rate Policy: fixed
I1213 12:14:15.136232  1380 solver.cpp:337] Iteration 0, Testing net (#0)
I1213 12:14:26.184625  1380 solver.cpp:404]     Test net output #0: accuracy = 1
I1213 12:14:26.184625  1380 solver.cpp:404]     Test net output #1: loss = 5.40403 (* 1 = 5.40403 loss)
I1213 12:14:26.345742  1380 solver.cpp:228] Iteration 0, loss = 10.3912
I1213 12:14:26.346242  1380 solver.cpp:244]     Train net output #0: loss = 10.3912 (* 1 = 10.3912 loss)
I1213 12:14:26.346741  1380 sgd_solver.cpp:106] Iteration 0, lr = 1e-014
I1213 12:14:36.910781  1380 solver.cpp:228] Iteration 20, loss = 2.21905
I1213 12:14:36.910781  1380 solver.cpp:244]     Train net output #0: loss = 2.21906 (* 1 = 2.21906 loss)
I1213 12:14:36.911775  1380 sgd_solver.cpp:106] Iteration 20, lr = 1e-014
I1213 12:14:47.624909  1380 solver.cpp:228] Iteration 40, loss = 4.72848
I1213 12:14:47.625411  1380 solver.cpp:244]     Train net output #0: loss = 4.72848 (* 1 = 4.72848 loss)
I1213 12:14:47.625911  1380 sgd_solver.cpp:106] Iteration 40, lr = 1e-014
I1213 12:14:58.325038  1380 solver.cpp:228] Iteration 60, loss = 2.64817
I1213 12:14:58.325539  1380 solver.cpp:244]     Train net output #0: loss = 2.64817 (* 1 = 2.64817 loss)
I1213 12:14:58.329041  1380 sgd_solver.cpp:106] Iteration 60, lr = 1e-014
I1213 12:15:08.973148  1380 solver.cpp:228] Iteration 80, loss = 2.92758
I1213 12:15:08.973649  1380 solver.cpp:244]     Train net output #0: loss = 2.92758 (* 1 = 2.92758 loss)
I1213 12:15:08.973649  1380 sgd_solver.cpp:106] Iteration 80, lr = 1e-014
I1213 12:15:19.647307  1380 solver.cpp:228] Iteration 100, loss = 2.62991
I1213 12:15:19.647807  1380 solver.cpp:244]     Train net output #0: loss = 2.62992 (* 1 = 2.62992 loss)
I1213 12:15:19.648298  1380 sgd_solver.cpp:106] Iteration 100, lr = 1e-014
I1213 12:15:30.322911  1380 solver.cpp:228] Iteration 120, loss = 4.65416
I1213 12:15:30.322911  1380 solver.cpp:244]     Train net output #0: loss = 4.65416 (* 1 = 4.65416 loss)
I1213 12:15:30.323411  1380 sgd_solver.cpp:106] Iteration 120, lr = 1e-014
I1213 12:15:40.963016  1380 solver.cpp:228] Iteration 140, loss = 4.19446
I1213 12:15:40.963515  1380 solver.cpp:244]     Train net output #0: loss = 4.19446 (* 1 = 4.19446 loss)
I1213 12:15:40.964017  1380 sgd_solver.cpp:106] Iteration 140, lr = 1e-014
I1213 12:15:51.605111  1380 solver.cpp:228] Iteration 160, loss = 3.29427
I1213 12:15:51.605111  1380 solver.cpp:244]     Train net output #0: loss = 3.29427 (* 1 = 3.29427 loss)
I1213 12:15:51.605613  1380 sgd_solver.cpp:106] Iteration 160, lr = 1e-014
I1213 12:16:02.237191  1380 solver.cpp:228] Iteration 180, loss = 5.40818
I1213 12:16:02.237690  1380 solver.cpp:244]     Train net output #0: loss = 5.40819 (* 1 = 5.40819 loss)
I1213 12:16:02.237690  1380 sgd_solver.cpp:106] Iteration 180, lr = 1e-014
I1213 12:16:12.995949  1380 solver.cpp:228] Iteration 200, loss = 7.47552
I1213 12:16:12.996439  1380 solver.cpp:244]     Train net output #0: loss = 7.47552 (* 1 = 7.47552 loss)
I1213 12:16:12.996948  1380 sgd_solver.cpp:106] Iteration 200, lr = 1e-014
I1213 12:16:23.705600  1380 solver.cpp:228] Iteration 220, loss = 5.60802
I1213 12:16:23.705600  1380 solver.cpp:244]     Train net output #0: loss = 5.60802 (* 1 = 5.60802 loss)
I1213 12:16:23.706099  1380 sgd_solver.cpp:106] Iteration 220, lr = 1e-014
I1213 12:16:34.293746  1380 solver.cpp:228] Iteration 240, loss = 2.95836
I1213 12:16:34.294245  1380 solver.cpp:244]     Train net output #0: loss = 2.95836 (* 1 = 2.95836 loss)
I1213 12:16:34.294746  1380 sgd_solver.cpp:106] Iteration 240, lr = 1e-014
I1213 12:16:44.911836  1380 solver.cpp:228] Iteration 260, loss = 3.27787
I1213 12:16:44.912346  1380 solver.cpp:244]     Train net output #0: loss = 3.27787 (* 1 = 3.27787 loss)
I1213 12:16:44.912838  1380 sgd_solver.cpp:106] Iteration 260, lr = 1e-014
I1213 12:16:55.712539  1380 solver.cpp:228] Iteration 280, loss = 3.04385
I1213 12:16:55.713040  1380 solver.cpp:244]     Train net output #0: loss = 3.04386 (* 1 = 3.04386 loss)
I1213 12:16:55.713040  1380 sgd_solver.cpp:106] Iteration 280, lr = 1e-014
I1213 12:17:06.361131  1380 solver.cpp:228] Iteration 300, loss = 3.75074
I1213 12:17:06.361637  1380 solver.cpp:244]     Train net output #0: loss = 3.75075 (* 1 = 3.75075 loss)
I1213 12:17:06.362130  1380 sgd_solver.cpp:106] Iteration 300, lr = 1e-014
I1213 12:17:17.130873  1380 solver.cpp:228] Iteration 320, loss = 2.53425
I1213 12:17:17.131374  1380 solver.cpp:244]     Train net output #0: loss = 2.53425 (* 1 = 2.53425 loss)
I1213 12:17:17.131873  1380 sgd_solver.cpp:106] Iteration 320, lr = 1e-014
I1213 12:17:26.238867  1380 solver.cpp:337] Iteration 338, Testing net (#0)
I1213 12:17:37.551930  1380 solver.cpp:404]     Test net output #0: accuracy = 1
I1213 12:17:37.552439  1380 solver.cpp:404]     Test net output #1: loss = 5.40402 (* 1 = 5.40402 loss)
I1213 12:17:38.718762  1380 solver.cpp:228] Iteration 340, loss = 3.97111
I1213 12:17:38.718762  1380 solver.cpp:244]     Train net output #0: loss = 3.97111 (* 1 = 3.97111 loss)
I1213 12:17:38.719262  1380 sgd_solver.cpp:106] Iteration 340, lr = 1e-014
I1213 12:17:49.461891  1380 solver.cpp:228] Iteration 360, loss = 3.32952
I1213 12:17:49.462391  1380 solver.cpp:244]     Train net output #0: loss = 3.32952 (* 1 = 3.32952 loss)
I1213 12:17:49.462893  1380 sgd_solver.cpp:106] Iteration 360, lr = 1e-014
I1213 12:18:00.222075  1380 solver.cpp:228] Iteration 380, loss = 5.11817