【Caffe FCN】全卷积神经网络-图像语义分割实验-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）
【承接图像分类、检测、分割、生成相关项目，私信。】
更新于2018年8月3日.
下载：自制数据集供参考
下载： 自己改的网络
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）。
- 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4：1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gt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grand 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