chibi@1804:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/kangaroo/image_0018.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0601 11:09:04.099179  2920 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0601 11:09:04.216127  2920 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0601 11:09:04.216465  2920 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0601 11:09:04.216476  2920 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0601 11:09:04.218360  2920 net.cpp:86] Initializing net from parameters:
name: "CaffeNet"
state {
  phase: TEST
  level: 0
}
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 10
      dim: 3
      dim: 227
      dim: 227
    }
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 96
    kernel_size: 11
    stride: 4
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm1"
  type: "LRN"
  bottom: "pool1"
  top: "norm1"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "norm1"
  top: "conv2"
  convolution_param {
    num_output: 256
    pad: 2
    kernel_size: 5
    group: 2
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm2"
  type: "LRN"
  bottom: "pool2"
  top: "norm2"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "norm2"
  top: "conv3"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "conv3"
  top: "conv3"
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "conv3"
  top: "conv4"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
    group: 2
  }
}
layer {
  name: "relu4"
  type: "ReLU"
  bottom: "conv4"
  top: "conv4"
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "conv4"
  top: "conv5"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    group: 2
  }
}
layer {
  name: "relu5"
  type: "ReLU"
  bottom: "conv5"
  top: "conv5"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc6"
  inner_product_param {
    num_output: 4096
  }
}
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: "InnerProduct"
  bottom: "fc6"
  top: "fc7"
  inner_product_param {
    num_output: 4096
  }
}
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: "fc8"
  type: "InnerProduct"
  bottom: "fc7"
  top: "fc8"
  inner_product_param {
    num_output: 1000
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc8"
  top: "prob"
}
I0601 11:09:04.218582  2920 net.cpp:116] Using FLOAT as default forward math type
I0601 11:09:04.218591  2920 net.cpp:122] Using FLOAT as default backward math type
I0601 11:09:04.218597  2920 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0601 11:09:04.218603  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.218616  2920 net.cpp:205] Created Layer data (0)
I0601 11:09:04.218621  2920 net.cpp:547] data -> data
I0601 11:09:04.218638  2920 net.cpp:265] Setting up data
I0601 11:09:04.218644  2920 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0601 11:09:04.218653  2920 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0601 11:09:04.218658  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.218684  2920 net.cpp:205] Created Layer conv1 (1)
I0601 11:09:04.218691  2920 net.cpp:577] conv1 <- data
I0601 11:09:04.218698  2920 net.cpp:547] conv1 -> conv1
I0601 11:09:04.218983  2920 net.cpp:265] Setting up conv1
I0601 11:09:04.218991  2920 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0601 11:09:04.219003  2920 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0601 11:09:04.219009  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.219017  2920 net.cpp:205] Created Layer relu1 (2)
I0601 11:09:04.219022  2920 net.cpp:577] relu1 <- conv1
I0601 11:09:04.219027  2920 net.cpp:532] relu1 -> conv1 (in-place)
I0601 11:09:04.219033  2920 net.cpp:265] Setting up relu1
I0601 11:09:04.219038  2920 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0601 11:09:04.219044  2920 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0601 11:09:04.219048  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.219058  2920 net.cpp:205] Created Layer pool1 (3)
I0601 11:09:04.219063  2920 net.cpp:577] pool1 <- conv1
I0601 11:09:04.219069  2920 net.cpp:547] pool1 -> pool1
I0601 11:09:04.219079  2920 net.cpp:265] Setting up pool1
I0601 11:09:04.219084  2920 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0601 11:09:04.219089  2920 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0601 11:09:04.219094  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.219102  2920 net.cpp:205] Created Layer norm1 (4)
I0601 11:09:04.219107  2920 net.cpp:577] norm1 <- pool1
I0601 11:09:04.219112  2920 net.cpp:547] norm1 -> norm1
I0601 11:09:04.219122  2920 net.cpp:265] Setting up norm1
I0601 11:09:04.219127  2920 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0601 11:09:04.219135  2920 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0601 11:09:04.219139  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.219148  2920 net.cpp:205] Created Layer conv2 (5)
I0601 11:09:04.219153  2920 net.cpp:577] conv2 <- norm1
I0601 11:09:04.219158  2920 net.cpp:547] conv2 -> conv2
I0601 11:09:04.221325  2920 net.cpp:265] Setting up conv2
I0601 11:09:04.221333  2920 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0601 11:09:04.221352  2920 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0601 11:09:04.221356  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.221364  2920 net.cpp:205] Created Layer relu2 (6)
I0601 11:09:04.221369  2920 net.cpp:577] relu2 <- conv2
I0601 11:09:04.221374  2920 net.cpp:532] relu2 -> conv2 (in-place)
I0601 11:09:04.221379  2920 net.cpp:265] Setting up relu2
I0601 11:09:04.221384  2920 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0601 11:09:04.221390  2920 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0601 11:09:04.221393  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.221400  2920 net.cpp:205] Created Layer pool2 (7)
I0601 11:09:04.221405  2920 net.cpp:577] pool2 <- conv2
I0601 11:09:04.221410  2920 net.cpp:547] pool2 -> pool2
I0601 11:09:04.221423  2920 net.cpp:265] Setting up pool2
I0601 11:09:04.221428  2920 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0601 11:09:04.221434  2920 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0601 11:09:04.221439  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.221447  2920 net.cpp:205] Created Layer norm2 (8)
I0601 11:09:04.221451  2920 net.cpp:577] norm2 <- pool2
I0601 11:09:04.221457  2920 net.cpp:547] norm2 -> norm2
I0601 11:09:04.221463  2920 net.cpp:265] Setting up norm2
I0601 11:09:04.221478  2920 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0601 11:09:04.221485  2920 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0601 11:09:04.221490  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.221501  2920 net.cpp:205] Created Layer conv3 (9)
I0601 11:09:04.221506  2920 net.cpp:577] conv3 <- norm2
I0601 11:09:04.221511  2920 net.cpp:547] conv3 -> conv3
I0601 11:09:04.227880  2920 net.cpp:265] Setting up conv3
I0601 11:09:04.227888  2920 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0601 11:09:04.227910  2920 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0601 11:09:04.227916  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.227923  2920 net.cpp:205] Created Layer relu3 (10)
I0601 11:09:04.227928  2920 net.cpp:577] relu3 <- conv3
I0601 11:09:04.227934  2920 net.cpp:532] relu3 -> conv3 (in-place)
I0601 11:09:04.227939  2920 net.cpp:265] Setting up relu3
I0601 11:09:04.227944  2920 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0601 11:09:04.227950  2920 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0601 11:09:04.227955  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.227963  2920 net.cpp:205] Created Layer conv4 (11)
I0601 11:09:04.227968  2920 net.cpp:577] conv4 <- conv3
I0601 11:09:04.227973  2920 net.cpp:547] conv4 -> conv4
I0601 11:09:04.232594  2920 net.cpp:265] Setting up conv4
I0601 11:09:04.232602  2920 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0601 11:09:04.232623  2920 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0601 11:09:04.232627  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.232635  2920 net.cpp:205] Created Layer relu4 (12)
I0601 11:09:04.232640  2920 net.cpp:577] relu4 <- conv4
I0601 11:09:04.232645  2920 net.cpp:532] relu4 -> conv4 (in-place)
I0601 11:09:04.232650  2920 net.cpp:265] Setting up relu4
I0601 11:09:04.232655  2920 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0601 11:09:04.232661  2920 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0601 11:09:04.232666  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.232673  2920 net.cpp:205] Created Layer conv5 (13)
I0601 11:09:04.232678  2920 net.cpp:577] conv5 <- conv4
I0601 11:09:04.232683  2920 net.cpp:547] conv5 -> conv5
I0601 11:09:04.235805  2920 net.cpp:265] Setting up conv5
I0601 11:09:04.235812  2920 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0601 11:09:04.235833  2920 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0601 11:09:04.235838  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.235846  2920 net.cpp:205] Created Layer relu5 (14)
I0601 11:09:04.235850  2920 net.cpp:577] relu5 <- conv5
I0601 11:09:04.235855  2920 net.cpp:532] relu5 -> conv5 (in-place)
I0601 11:09:04.235862  2920 net.cpp:265] Setting up relu5
I0601 11:09:04.235865  2920 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0601 11:09:04.235872  2920 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0601 11:09:04.235877  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.235884  2920 net.cpp:205] Created Layer pool5 (15)
I0601 11:09:04.235890  2920 net.cpp:577] pool5 <- conv5
I0601 11:09:04.235895  2920 net.cpp:547] pool5 -> pool5
I0601 11:09:04.235904  2920 net.cpp:265] Setting up pool5
I0601 11:09:04.235909  2920 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0601 11:09:04.235915  2920 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0601 11:09:04.235920  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.235939  2920 net.cpp:205] Created Layer fc6 (16)
I0601 11:09:04.235944  2920 net.cpp:577] fc6 <- pool5
I0601 11:09:04.235949  2920 net.cpp:547] fc6 -> fc6
I0601 11:09:04.495097  2920 net.cpp:265] Setting up fc6
I0601 11:09:04.495122  2920 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0601 11:09:04.495137  2920 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0601 11:09:04.495142  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.495153  2920 net.cpp:205] Created Layer relu6 (17)
I0601 11:09:04.495172  2920 net.cpp:577] relu6 <- fc6
I0601 11:09:04.495178  2920 net.cpp:532] relu6 -> fc6 (in-place)
I0601 11:09:04.495185  2920 net.cpp:265] Setting up relu6
I0601 11:09:04.495190  2920 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0601 11:09:04.495195  2920 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0601 11:09:04.495200  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.495209  2920 net.cpp:205] Created Layer drop6 (18)
I0601 11:09:04.495214  2920 net.cpp:577] drop6 <- fc6
I0601 11:09:04.495219  2920 net.cpp:532] drop6 -> fc6 (in-place)
I0601 11:09:04.495225  2920 net.cpp:265] Setting up drop6
I0601 11:09:04.495230  2920 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0601 11:09:04.495235  2920 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0601 11:09:04.495241  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.495249  2920 net.cpp:205] Created Layer fc7 (19)
I0601 11:09:04.495254  2920 net.cpp:577] fc7 <- fc6
I0601 11:09:04.495260  2920 net.cpp:547] fc7 -> fc7
I0601 11:09:04.610122  2920 net.cpp:265] Setting up fc7
I0601 11:09:04.610142  2920 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0601 11:09:04.610157  2920 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0601 11:09:04.610162  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.610172  2920 net.cpp:205] Created Layer relu7 (20)
I0601 11:09:04.610179  2920 net.cpp:577] relu7 <- fc7
I0601 11:09:04.610198  2920 net.cpp:532] relu7 -> fc7 (in-place)
I0601 11:09:04.610204  2920 net.cpp:265] Setting up relu7
I0601 11:09:04.610208  2920 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0601 11:09:04.610214  2920 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0601 11:09:04.610219  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.610229  2920 net.cpp:205] Created Layer drop7 (21)
I0601 11:09:04.610234  2920 net.cpp:577] drop7 <- fc7
I0601 11:09:04.610239  2920 net.cpp:532] drop7 -> fc7 (in-place)
I0601 11:09:04.610245  2920 net.cpp:265] Setting up drop7
I0601 11:09:04.610250  2920 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0601 11:09:04.610255  2920 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0601 11:09:04.610260  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.610268  2920 net.cpp:205] Created Layer fc8 (22)
I0601 11:09:04.610272  2920 net.cpp:577] fc8 <- fc7
I0601 11:09:04.610277  2920 net.cpp:547] fc8 -> fc8
I0601 11:09:04.638263  2920 net.cpp:265] Setting up fc8
I0601 11:09:04.638273  2920 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0601 11:09:04.638280  2920 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0601 11:09:04.638298  2920 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0601 11:09:04.638310  2920 net.cpp:205] Created Layer prob (23)
I0601 11:09:04.638315  2920 net.cpp:577] prob <- fc8
I0601 11:09:04.638321  2920 net.cpp:547] prob -> prob
I0601 11:09:04.638332  2920 net.cpp:265] Setting up prob
I0601 11:09:04.638337  2920 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0601 11:09:04.638370  2920 net.cpp:343] prob does not need backward computation.
I0601 11:09:04.638376  2920 net.cpp:343] fc8 does not need backward computation.
I0601 11:09:04.638381  2920 net.cpp:343] drop7 does not need backward computation.
I0601 11:09:04.638386  2920 net.cpp:343] relu7 does not need backward computation.
I0601 11:09:04.638391  2920 net.cpp:343] fc7 does not need backward computation.
I0601 11:09:04.638396  2920 net.cpp:343] drop6 does not need backward computation.
I0601 11:09:04.638401  2920 net.cpp:343] relu6 does not need backward computation.
I0601 11:09:04.638406  2920 net.cpp:343] fc6 does not need backward computation.
I0601 11:09:04.638411  2920 net.cpp:343] pool5 does not need backward computation.
I0601 11:09:04.638417  2920 net.cpp:343] relu5 does not need backward computation.
I0601 11:09:04.638422  2920 net.cpp:343] conv5 does not need backward computation.
I0601 11:09:04.638427  2920 net.cpp:343] relu4 does not need backward computation.
I0601 11:09:04.638433  2920 net.cpp:343] conv4 does not need backward computation.
I0601 11:09:04.638439  2920 net.cpp:343] relu3 does not need backward computation.
I0601 11:09:04.638444  2920 net.cpp:343] conv3 does not need backward computation.
I0601 11:09:04.638449  2920 net.cpp:343] norm2 does not need backward computation.
I0601 11:09:04.638455  2920 net.cpp:343] pool2 does not need backward computation.
I0601 11:09:04.638460  2920 net.cpp:343] relu2 does not need backward computation.
I0601 11:09:04.638465  2920 net.cpp:343] conv2 does not need backward computation.
I0601 11:09:04.638470  2920 net.cpp:343] norm1 does not need backward computation.
I0601 11:09:04.638475  2920 net.cpp:343] pool1 does not need backward computation.
I0601 11:09:04.638481  2920 net.cpp:343] relu1 does not need backward computation.
I0601 11:09:04.638486  2920 net.cpp:343] conv1 does not need backward computation.
I0601 11:09:04.638491  2920 net.cpp:343] data does not need backward computation.
I0601 11:09:04.638500  2920 net.cpp:385] This network produces output prob
I0601 11:09:04.638520  2920 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0601 11:09:04.638526  2920 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0601 11:09:04.638531  2920 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0601 11:09:04.638536  2920 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0601 11:09:04.638541  2920 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0601 11:09:04.638546  2920 net.cpp:426] Network initialization done.
I0601 11:09:04.801841  2920 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0601 11:09:04.801865  2920 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0601 11:09:04.801869  2920 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0601 11:09:04.801890  2920 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0601 11:09:05.048295  2920 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0601 11:09:05.053305  2920 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0601 11:09:05.053315  2920 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0601 11:09:05.053647  2920 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0601 11:09:05.053653  2920 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0601 11:09:05.053668  2920 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0601 11:09:05.053673  2920 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0601 11:09:05.056195  2920 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0601 11:09:05.056226  2920 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0601 11:09:05.056229  2920 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0601 11:09:05.056232  2920 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0601 11:09:05.063453  2920 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0601 11:09:05.063460  2920 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0601 11:09:05.068859  2920 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0601 11:09:05.068867  2920 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0601 11:09:05.072482  2920 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0601 11:09:05.072489  2920 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0601 11:09:05.072492  2920 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0601 11:09:05.376857  2920 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0601 11:09:05.376876  2920 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0601 11:09:05.376880  2920 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0601 11:09:05.512221  2920 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0601 11:09:05.512243  2920 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0601 11:09:05.512246  2920 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0601 11:09:05.545609  2920 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
/usr/local/lib/python2.7/dist-packages/skimage/transform/_warps.py:110: UserWarning: Anti-aliasing will be enabled by default in skimage 0.15 to avoid aliasing artifacts when down-sampling images.
  warn("Anti-aliasing will be enabled by default in skimage 0.15 to "
Loading file: ../101_ObjectCategories/kangaroo/image_0018.jpg
/usr/local/lib/python2.7/dist-packages/skimage/io/_io.py:49: UserWarning: `as_grey` has been deprecated in favor of `as_gray`
  warn('`as_grey` has been deprecated in favor of `as_gray`')
Classifying 1 inputs.
Done in 0.47 s.
Saving results into ../result.npy
chibi@1804:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n01877812 wallaby, brush kangaroo | 95.5%
#2 | n02326432 hare |  0.8%
#3 | n02417914 ibex, Capra ibex |  0.7%
chibi@1804:~/caffe$