chibi@zorin:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/butterfly/image_0001.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0128 08:06:12.344224 36928 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0128 08:06:12.462960 36928 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0128 08:06:12.463589 36928 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0128 08:06:12.463598 36928 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0128 08:06:12.463843 36928 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"
}
I0128 08:06:12.464054 36928 net.cpp:116] Using FLOAT as default forward math type
I0128 08:06:12.464066 36928 net.cpp:122] Using FLOAT as default backward math type
I0128 08:06:12.464069 36928 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0128 08:06:12.464073 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.464083 36928 net.cpp:205] Created Layer data (0)
I0128 08:06:12.464090 36928 net.cpp:547] data -> data
I0128 08:06:12.464113 36928 net.cpp:265] Setting up data
I0128 08:06:12.464119 36928 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0128 08:06:12.464130 36928 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0128 08:06:12.464135 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.464157 36928 net.cpp:205] Created Layer conv1 (1)
I0128 08:06:12.464160 36928 net.cpp:577] conv1 <- data
I0128 08:06:12.464164 36928 net.cpp:547] conv1 -> conv1
I0128 08:06:12.464439 36928 net.cpp:265] Setting up conv1
I0128 08:06:12.464444 36928 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0128 08:06:12.464454 36928 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0128 08:06:12.464457 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.464462 36928 net.cpp:205] Created Layer relu1 (2)
I0128 08:06:12.464465 36928 net.cpp:577] relu1 <- conv1
I0128 08:06:12.464468 36928 net.cpp:532] relu1 -> conv1 (in-place)
I0128 08:06:12.464473 36928 net.cpp:265] Setting up relu1
I0128 08:06:12.464475 36928 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0128 08:06:12.464483 36928 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0128 08:06:12.464486 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.464493 36928 net.cpp:205] Created Layer pool1 (3)
I0128 08:06:12.464496 36928 net.cpp:577] pool1 <- conv1
I0128 08:06:12.464499 36928 net.cpp:547] pool1 -> pool1
I0128 08:06:12.464511 36928 net.cpp:265] Setting up pool1
I0128 08:06:12.464515 36928 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0128 08:06:12.464521 36928 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0128 08:06:12.464525 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.464534 36928 net.cpp:205] Created Layer norm1 (4)
I0128 08:06:12.464537 36928 net.cpp:577] norm1 <- pool1
I0128 08:06:12.464540 36928 net.cpp:547] norm1 -> norm1
I0128 08:06:12.464547 36928 net.cpp:265] Setting up norm1
I0128 08:06:12.464551 36928 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0128 08:06:12.464557 36928 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0128 08:06:12.464562 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.464567 36928 net.cpp:205] Created Layer conv2 (5)
I0128 08:06:12.464572 36928 net.cpp:577] conv2 <- norm1
I0128 08:06:12.464576 36928 net.cpp:547] conv2 -> conv2
I0128 08:06:12.466955 36928 net.cpp:265] Setting up conv2
I0128 08:06:12.466961 36928 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0128 08:06:12.466969 36928 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0128 08:06:12.466971 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.466976 36928 net.cpp:205] Created Layer relu2 (6)
I0128 08:06:12.466979 36928 net.cpp:577] relu2 <- conv2
I0128 08:06:12.466981 36928 net.cpp:532] relu2 -> conv2 (in-place)
I0128 08:06:12.466985 36928 net.cpp:265] Setting up relu2
I0128 08:06:12.466987 36928 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0128 08:06:12.466991 36928 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0128 08:06:12.466996 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.467002 36928 net.cpp:205] Created Layer pool2 (7)
I0128 08:06:12.467006 36928 net.cpp:577] pool2 <- conv2
I0128 08:06:12.467010 36928 net.cpp:547] pool2 -> pool2
I0128 08:06:12.467015 36928 net.cpp:265] Setting up pool2
I0128 08:06:12.467018 36928 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0128 08:06:12.467025 36928 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0128 08:06:12.467028 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.467036 36928 net.cpp:205] Created Layer norm2 (8)
I0128 08:06:12.467041 36928 net.cpp:577] norm2 <- pool2
I0128 08:06:12.467044 36928 net.cpp:547] norm2 -> norm2
I0128 08:06:12.467051 36928 net.cpp:265] Setting up norm2
I0128 08:06:12.467064 36928 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0128 08:06:12.467068 36928 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0128 08:06:12.467074 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.467085 36928 net.cpp:205] Created Layer conv3 (9)
I0128 08:06:12.467090 36928 net.cpp:577] conv3 <- norm2
I0128 08:06:12.467093 36928 net.cpp:547] conv3 -> conv3
I0128 08:06:12.473860 36928 net.cpp:265] Setting up conv3
I0128 08:06:12.473866 36928 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0128 08:06:12.473873 36928 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0128 08:06:12.473876 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.473881 36928 net.cpp:205] Created Layer relu3 (10)
I0128 08:06:12.473883 36928 net.cpp:577] relu3 <- conv3
I0128 08:06:12.473886 36928 net.cpp:532] relu3 -> conv3 (in-place)
I0128 08:06:12.473889 36928 net.cpp:265] Setting up relu3
I0128 08:06:12.473891 36928 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0128 08:06:12.473896 36928 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0128 08:06:12.473898 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.473906 36928 net.cpp:205] Created Layer conv4 (11)
I0128 08:06:12.473913 36928 net.cpp:577] conv4 <- conv3
I0128 08:06:12.473917 36928 net.cpp:547] conv4 -> conv4
I0128 08:06:12.479023 36928 net.cpp:265] Setting up conv4
I0128 08:06:12.479030 36928 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0128 08:06:12.479038 36928 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0128 08:06:12.479040 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.479044 36928 net.cpp:205] Created Layer relu4 (12)
I0128 08:06:12.479048 36928 net.cpp:577] relu4 <- conv4
I0128 08:06:12.479050 36928 net.cpp:532] relu4 -> conv4 (in-place)
I0128 08:06:12.479054 36928 net.cpp:265] Setting up relu4
I0128 08:06:12.479056 36928 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0128 08:06:12.479060 36928 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0128 08:06:12.479065 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.479074 36928 net.cpp:205] Created Layer conv5 (13)
I0128 08:06:12.479077 36928 net.cpp:577] conv5 <- conv4
I0128 08:06:12.479080 36928 net.cpp:547] conv5 -> conv5
I0128 08:06:12.482481 36928 net.cpp:265] Setting up conv5
I0128 08:06:12.482486 36928 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0128 08:06:12.482494 36928 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0128 08:06:12.482497 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.482503 36928 net.cpp:205] Created Layer relu5 (14)
I0128 08:06:12.482506 36928 net.cpp:577] relu5 <- conv5
I0128 08:06:12.482509 36928 net.cpp:532] relu5 -> conv5 (in-place)
I0128 08:06:12.482512 36928 net.cpp:265] Setting up relu5
I0128 08:06:12.482514 36928 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0128 08:06:12.482518 36928 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0128 08:06:12.482522 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.482527 36928 net.cpp:205] Created Layer pool5 (15)
I0128 08:06:12.482533 36928 net.cpp:577] pool5 <- conv5
I0128 08:06:12.482538 36928 net.cpp:547] pool5 -> pool5
I0128 08:06:12.482542 36928 net.cpp:265] Setting up pool5
I0128 08:06:12.482545 36928 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0128 08:06:12.482549 36928 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0128 08:06:12.482553 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.482575 36928 net.cpp:205] Created Layer fc6 (16)
I0128 08:06:12.482581 36928 net.cpp:577] fc6 <- pool5
I0128 08:06:12.482585 36928 net.cpp:547] fc6 -> fc6
I0128 08:06:12.771689 36928 net.cpp:265] Setting up fc6
I0128 08:06:12.771730 36928 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0128 08:06:12.771745 36928 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0128 08:06:12.771750 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.771762 36928 net.cpp:205] Created Layer relu6 (17)
I0128 08:06:12.771770 36928 net.cpp:577] relu6 <- fc6
I0128 08:06:12.771781 36928 net.cpp:532] relu6 -> fc6 (in-place)
I0128 08:06:12.771786 36928 net.cpp:265] Setting up relu6
I0128 08:06:12.771790 36928 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0128 08:06:12.771793 36928 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0128 08:06:12.771796 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.771802 36928 net.cpp:205] Created Layer drop6 (18)
I0128 08:06:12.771806 36928 net.cpp:577] drop6 <- fc6
I0128 08:06:12.771809 36928 net.cpp:532] drop6 -> fc6 (in-place)
I0128 08:06:12.771816 36928 net.cpp:265] Setting up drop6
I0128 08:06:12.771821 36928 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0128 08:06:12.771827 36928 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0128 08:06:12.771831 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.771836 36928 net.cpp:205] Created Layer fc7 (19)
I0128 08:06:12.771838 36928 net.cpp:577] fc7 <- fc6
I0128 08:06:12.771842 36928 net.cpp:547] fc7 -> fc7
I0128 08:06:12.899983 36928 net.cpp:265] Setting up fc7
I0128 08:06:12.900022 36928 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0128 08:06:12.900036 36928 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0128 08:06:12.900041 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.900050 36928 net.cpp:205] Created Layer relu7 (20)
I0128 08:06:12.900054 36928 net.cpp:577] relu7 <- fc7
I0128 08:06:12.900059 36928 net.cpp:532] relu7 -> fc7 (in-place)
I0128 08:06:12.900066 36928 net.cpp:265] Setting up relu7
I0128 08:06:12.900070 36928 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0128 08:06:12.900074 36928 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0128 08:06:12.900079 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.900084 36928 net.cpp:205] Created Layer drop7 (21)
I0128 08:06:12.900086 36928 net.cpp:577] drop7 <- fc7
I0128 08:06:12.900089 36928 net.cpp:532] drop7 -> fc7 (in-place)
I0128 08:06:12.900094 36928 net.cpp:265] Setting up drop7
I0128 08:06:12.900096 36928 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0128 08:06:12.900100 36928 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0128 08:06:12.900103 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.900110 36928 net.cpp:205] Created Layer fc8 (22)
I0128 08:06:12.900115 36928 net.cpp:577] fc8 <- fc7
I0128 08:06:12.900117 36928 net.cpp:547] fc8 -> fc8
I0128 08:06:12.931283 36928 net.cpp:265] Setting up fc8
I0128 08:06:12.931310 36928 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0128 08:06:12.931322 36928 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0128 08:06:12.931327 36928 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 08:06:12.931353 36928 net.cpp:205] Created Layer prob (23)
I0128 08:06:12.931360 36928 net.cpp:577] prob <- fc8
I0128 08:06:12.931365 36928 net.cpp:547] prob -> prob
I0128 08:06:12.931375 36928 net.cpp:265] Setting up prob
I0128 08:06:12.931377 36928 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0128 08:06:12.931445 36928 net.cpp:343] prob does not need backward computation.
I0128 08:06:12.931448 36928 net.cpp:343] fc8 does not need backward computation.
I0128 08:06:12.931453 36928 net.cpp:343] drop7 does not need backward computation.
I0128 08:06:12.931457 36928 net.cpp:343] relu7 does not need backward computation.
I0128 08:06:12.931461 36928 net.cpp:343] fc7 does not need backward computation.
I0128 08:06:12.931464 36928 net.cpp:343] drop6 does not need backward computation.
I0128 08:06:12.931468 36928 net.cpp:343] relu6 does not need backward computation.
I0128 08:06:12.931473 36928 net.cpp:343] fc6 does not need backward computation.
I0128 08:06:12.931476 36928 net.cpp:343] pool5 does not need backward computation.
I0128 08:06:12.931483 36928 net.cpp:343] relu5 does not need backward computation.
I0128 08:06:12.931485 36928 net.cpp:343] conv5 does not need backward computation.
I0128 08:06:12.931488 36928 net.cpp:343] relu4 does not need backward computation.
I0128 08:06:12.931491 36928 net.cpp:343] conv4 does not need backward computation.
I0128 08:06:12.931495 36928 net.cpp:343] relu3 does not need backward computation.
I0128 08:06:12.931499 36928 net.cpp:343] conv3 does not need backward computation.
I0128 08:06:12.931501 36928 net.cpp:343] norm2 does not need backward computation.
I0128 08:06:12.931504 36928 net.cpp:343] pool2 does not need backward computation.
I0128 08:06:12.931507 36928 net.cpp:343] relu2 does not need backward computation.
I0128 08:06:12.931510 36928 net.cpp:343] conv2 does not need backward computation.
I0128 08:06:12.931514 36928 net.cpp:343] norm1 does not need backward computation.
I0128 08:06:12.931516 36928 net.cpp:343] pool1 does not need backward computation.
I0128 08:06:12.931519 36928 net.cpp:343] relu1 does not need backward computation.
I0128 08:06:12.931522 36928 net.cpp:343] conv1 does not need backward computation.
I0128 08:06:12.931525 36928 net.cpp:343] data does not need backward computation.
I0128 08:06:12.931528 36928 net.cpp:385] This network produces output prob
I0128 08:06:12.931547 36928 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0128 08:06:12.931550 36928 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0128 08:06:12.931553 36928 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0128 08:06:12.931560 36928 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0128 08:06:12.931564 36928 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0128 08:06:12.931567 36928 net.cpp:426] Network initialization done.
I0128 08:06:13.025386 36928 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0128 08:06:13.025429 36928 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0128 08:06:13.025432 36928 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0128 08:06:13.025478 36928 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0128 08:06:13.168109 36928 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0128 08:06:13.174185 36928 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0128 08:06:13.174196 36928 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0128 08:06:13.174428 36928 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0128 08:06:13.174434 36928 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0128 08:06:13.174437 36928 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0128 08:06:13.174440 36928 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0128 08:06:13.176440 36928 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0128 08:06:13.176510 36928 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0128 08:06:13.176513 36928 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0128 08:06:13.176517 36928 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0128 08:06:13.182351 36928 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0128 08:06:13.182358 36928 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0128 08:06:13.186667 36928 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0128 08:06:13.186674 36928 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0128 08:06:13.189550 36928 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0128 08:06:13.189556 36928 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0128 08:06:13.189560 36928 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0128 08:06:13.434584 36928 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0128 08:06:13.434621 36928 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0128 08:06:13.434624 36928 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0128 08:06:13.543531 36928 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0128 08:06:13.543565 36928 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0128 08:06:13.543570 36928 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0128 08:06:13.570235 36928 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/butterfly/image_0001.jpg
Classifying 1 inputs.
Done in 0.52 s.
Saving results into ../result.npy
chibi@zorin:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02279972 monarch, monarch butterfly, milkweed butterfly, Danaus plexippus | 100.0%
#2 | n02281787 lycaenid, lycaenid butterfly |  0.0%
#3 | n02281406 sulphur butterfly, sulfur butterfly |  0.0%
chibi@zorin:~/caffe$