chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/camera/image_0001.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0309 18:04:56.044836  3700 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0309 18:04:56.959617  3700 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0309 18:04:56.959908  3700 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0309 18:04:56.959937  3700 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0309 18:04:57.015944  3700 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"
}
I0309 18:04:57.047719  3700 net.cpp:116] Using FLOAT as default forward math type
I0309 18:04:57.047749  3700 net.cpp:122] Using FLOAT as default backward math type
I0309 18:04:57.047760  3700 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0309 18:04:57.047786  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.047827  3700 net.cpp:205] Created Layer data (0)
I0309 18:04:57.047839  3700 net.cpp:547] data -> data
I0309 18:04:57.065332  3700 net.cpp:265] Setting up data
I0309 18:04:57.065378  3700 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0309 18:04:57.065399  3700 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0309 18:04:57.065418  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.084059  3700 net.cpp:205] Created Layer conv1 (1)
I0309 18:04:57.084098  3700 net.cpp:577] conv1 <- data
I0309 18:04:57.084110  3700 net.cpp:547] conv1 -> conv1
I0309 18:04:57.097803  3700 net.cpp:265] Setting up conv1
I0309 18:04:57.097846  3700 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0309 18:04:57.097863  3700 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0309 18:04:57.097920  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.097939  3700 net.cpp:205] Created Layer relu1 (2)
I0309 18:04:57.097949  3700 net.cpp:577] relu1 <- conv1
I0309 18:04:57.097957  3700 net.cpp:532] relu1 -> conv1 (in-place)
I0309 18:04:57.097970  3700 net.cpp:265] Setting up relu1
I0309 18:04:57.097980  3700 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0309 18:04:57.097988  3700 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0309 18:04:57.097996  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.098009  3700 net.cpp:205] Created Layer pool1 (3)
I0309 18:04:57.098017  3700 net.cpp:577] pool1 <- conv1
I0309 18:04:57.098026  3700 net.cpp:547] pool1 -> pool1
I0309 18:04:57.098064  3700 net.cpp:265] Setting up pool1
I0309 18:04:57.098080  3700 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0309 18:04:57.098089  3700 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0309 18:04:57.098098  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.098112  3700 net.cpp:205] Created Layer norm1 (4)
I0309 18:04:57.098121  3700 net.cpp:577] norm1 <- pool1
I0309 18:04:57.098129  3700 net.cpp:547] norm1 -> norm1
I0309 18:04:57.098150  3700 net.cpp:265] Setting up norm1
I0309 18:04:57.098158  3700 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0309 18:04:57.098167  3700 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0309 18:04:57.098174  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.098189  3700 net.cpp:205] Created Layer conv2 (5)
I0309 18:04:57.098198  3700 net.cpp:577] conv2 <- norm1
I0309 18:04:57.098206  3700 net.cpp:547] conv2 -> conv2
I0309 18:04:57.101657  3700 net.cpp:265] Setting up conv2
I0309 18:04:57.101676  3700 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0309 18:04:57.101707  3700 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0309 18:04:57.101718  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.101729  3700 net.cpp:205] Created Layer relu2 (6)
I0309 18:04:57.101737  3700 net.cpp:577] relu2 <- conv2
I0309 18:04:57.101745  3700 net.cpp:532] relu2 -> conv2 (in-place)
I0309 18:04:57.101755  3700 net.cpp:265] Setting up relu2
I0309 18:04:57.101764  3700 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0309 18:04:57.101773  3700 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0309 18:04:57.101779  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.101791  3700 net.cpp:205] Created Layer pool2 (7)
I0309 18:04:57.101799  3700 net.cpp:577] pool2 <- conv2
I0309 18:04:57.101806  3700 net.cpp:547] pool2 -> pool2
I0309 18:04:57.101819  3700 net.cpp:265] Setting up pool2
I0309 18:04:57.101830  3700 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0309 18:04:57.101838  3700 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0309 18:04:57.101846  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.101860  3700 net.cpp:205] Created Layer norm2 (8)
I0309 18:04:57.101867  3700 net.cpp:577] norm2 <- pool2
I0309 18:04:57.101876  3700 net.cpp:547] norm2 -> norm2
I0309 18:04:57.101886  3700 net.cpp:265] Setting up norm2
I0309 18:04:57.101915  3700 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0309 18:04:57.101927  3700 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0309 18:04:57.101934  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.101948  3700 net.cpp:205] Created Layer conv3 (9)
I0309 18:04:57.101958  3700 net.cpp:577] conv3 <- norm2
I0309 18:04:57.101965  3700 net.cpp:547] conv3 -> conv3
I0309 18:04:57.111881  3700 net.cpp:265] Setting up conv3
I0309 18:04:57.111901  3700 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0309 18:04:57.111932  3700 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0309 18:04:57.111943  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.111953  3700 net.cpp:205] Created Layer relu3 (10)
I0309 18:04:57.111963  3700 net.cpp:577] relu3 <- conv3
I0309 18:04:57.111970  3700 net.cpp:532] relu3 -> conv3 (in-place)
I0309 18:04:57.111979  3700 net.cpp:265] Setting up relu3
I0309 18:04:57.111989  3700 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0309 18:04:57.111996  3700 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0309 18:04:57.112004  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.112018  3700 net.cpp:205] Created Layer conv4 (11)
I0309 18:04:57.112026  3700 net.cpp:577] conv4 <- conv3
I0309 18:04:57.112035  3700 net.cpp:547] conv4 -> conv4
I0309 18:04:57.119424  3700 net.cpp:265] Setting up conv4
I0309 18:04:57.119444  3700 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0309 18:04:57.119474  3700 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0309 18:04:57.119482  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.119493  3700 net.cpp:205] Created Layer relu4 (12)
I0309 18:04:57.119506  3700 net.cpp:577] relu4 <- conv4
I0309 18:04:57.119514  3700 net.cpp:532] relu4 -> conv4 (in-place)
I0309 18:04:57.119524  3700 net.cpp:265] Setting up relu4
I0309 18:04:57.119534  3700 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0309 18:04:57.119541  3700 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0309 18:04:57.119549  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.119568  3700 net.cpp:205] Created Layer conv5 (13)
I0309 18:04:57.119576  3700 net.cpp:577] conv5 <- conv4
I0309 18:04:57.119585  3700 net.cpp:547] conv5 -> conv5
I0309 18:04:57.124550  3700 net.cpp:265] Setting up conv5
I0309 18:04:57.124568  3700 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0309 18:04:57.124600  3700 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0309 18:04:57.124609  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.124624  3700 net.cpp:205] Created Layer relu5 (14)
I0309 18:04:57.124632  3700 net.cpp:577] relu5 <- conv5
I0309 18:04:57.124640  3700 net.cpp:532] relu5 -> conv5 (in-place)
I0309 18:04:57.124650  3700 net.cpp:265] Setting up relu5
I0309 18:04:57.124660  3700 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0309 18:04:57.124666  3700 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0309 18:04:57.124675  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.124688  3700 net.cpp:205] Created Layer pool5 (15)
I0309 18:04:57.124696  3700 net.cpp:577] pool5 <- conv5
I0309 18:04:57.124703  3700 net.cpp:547] pool5 -> pool5
I0309 18:04:57.124718  3700 net.cpp:265] Setting up pool5
I0309 18:04:57.124729  3700 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0309 18:04:57.124737  3700 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0309 18:04:57.124745  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.124775  3700 net.cpp:205] Created Layer fc6 (16)
I0309 18:04:57.124786  3700 net.cpp:577] fc6 <- pool5
I0309 18:04:57.124794  3700 net.cpp:547] fc6 -> fc6
I0309 18:04:57.505915  3700 net.cpp:265] Setting up fc6
I0309 18:04:57.505962  3700 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0309 18:04:57.505978  3700 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0309 18:04:57.505987  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.506018  3700 net.cpp:205] Created Layer relu6 (17)
I0309 18:04:57.506049  3700 net.cpp:577] relu6 <- fc6
I0309 18:04:57.506074  3700 net.cpp:532] relu6 -> fc6 (in-place)
I0309 18:04:57.506086  3700 net.cpp:265] Setting up relu6
I0309 18:04:57.506098  3700 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0309 18:04:57.506104  3700 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0309 18:04:57.506112  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.506127  3700 net.cpp:205] Created Layer drop6 (18)
I0309 18:04:57.506134  3700 net.cpp:577] drop6 <- fc6
I0309 18:04:57.506141  3700 net.cpp:532] drop6 -> fc6 (in-place)
I0309 18:04:57.506151  3700 net.cpp:265] Setting up drop6
I0309 18:04:57.506160  3700 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0309 18:04:57.506166  3700 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0309 18:04:57.506173  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.506183  3700 net.cpp:205] Created Layer fc7 (19)
I0309 18:04:57.506191  3700 net.cpp:577] fc7 <- fc6
I0309 18:04:57.506213  3700 net.cpp:547] fc7 -> fc7
I0309 18:04:57.666919  3700 net.cpp:265] Setting up fc7
I0309 18:04:57.666965  3700 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0309 18:04:57.666980  3700 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0309 18:04:57.666987  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.667026  3700 net.cpp:205] Created Layer relu7 (20)
I0309 18:04:57.667037  3700 net.cpp:577] relu7 <- fc7
I0309 18:04:57.667045  3700 net.cpp:532] relu7 -> fc7 (in-place)
I0309 18:04:57.667055  3700 net.cpp:265] Setting up relu7
I0309 18:04:57.667063  3700 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0309 18:04:57.667070  3700 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0309 18:04:57.667078  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.667089  3700 net.cpp:205] Created Layer drop7 (21)
I0309 18:04:57.667095  3700 net.cpp:577] drop7 <- fc7
I0309 18:04:57.667102  3700 net.cpp:532] drop7 -> fc7 (in-place)
I0309 18:04:57.667111  3700 net.cpp:265] Setting up drop7
I0309 18:04:57.667119  3700 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0309 18:04:57.667125  3700 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0309 18:04:57.667132  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.667142  3700 net.cpp:205] Created Layer fc8 (22)
I0309 18:04:57.667148  3700 net.cpp:577] fc8 <- fc7
I0309 18:04:57.667156  3700 net.cpp:547] fc8 -> fc8
I0309 18:04:57.706480  3700 net.cpp:265] Setting up fc8
I0309 18:04:57.706495  3700 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0309 18:04:57.706521  3700 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0309 18:04:57.706529  3700 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0309 18:04:57.706557  3700 net.cpp:205] Created Layer prob (23)
I0309 18:04:57.706564  3700 net.cpp:577] prob <- fc8
I0309 18:04:57.706571  3700 net.cpp:547] prob -> prob
I0309 18:04:57.706589  3700 net.cpp:265] Setting up prob
I0309 18:04:57.706598  3700 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0309 18:04:57.706645  3700 net.cpp:343] prob does not need backward computation.
I0309 18:04:57.706655  3700 net.cpp:343] fc8 does not need backward computation.
I0309 18:04:57.706660  3700 net.cpp:343] drop7 does not need backward computation.
I0309 18:04:57.706667  3700 net.cpp:343] relu7 does not need backward computation.
I0309 18:04:57.706673  3700 net.cpp:343] fc7 does not need backward computation.
I0309 18:04:57.706681  3700 net.cpp:343] drop6 does not need backward computation.
I0309 18:04:57.706686  3700 net.cpp:343] relu6 does not need backward computation.
I0309 18:04:57.706693  3700 net.cpp:343] fc6 does not need backward computation.
I0309 18:04:57.706701  3700 net.cpp:343] pool5 does not need backward computation.
I0309 18:04:57.706708  3700 net.cpp:343] relu5 does not need backward computation.
I0309 18:04:57.706714  3700 net.cpp:343] conv5 does not need backward computation.
I0309 18:04:57.706722  3700 net.cpp:343] relu4 does not need backward computation.
I0309 18:04:57.706727  3700 net.cpp:343] conv4 does not need backward computation.
I0309 18:04:57.706734  3700 net.cpp:343] relu3 does not need backward computation.
I0309 18:04:57.706740  3700 net.cpp:343] conv3 does not need backward computation.
I0309 18:04:57.706748  3700 net.cpp:343] norm2 does not need backward computation.
I0309 18:04:57.706754  3700 net.cpp:343] pool2 does not need backward computation.
I0309 18:04:57.706760  3700 net.cpp:343] relu2 does not need backward computation.
I0309 18:04:57.706766  3700 net.cpp:343] conv2 does not need backward computation.
I0309 18:04:57.706773  3700 net.cpp:343] norm1 does not need backward computation.
I0309 18:04:57.706779  3700 net.cpp:343] pool1 does not need backward computation.
I0309 18:04:57.706786  3700 net.cpp:343] relu1 does not need backward computation.
I0309 18:04:57.706792  3700 net.cpp:343] conv1 does not need backward computation.
I0309 18:04:57.706799  3700 net.cpp:343] data does not need backward computation.
I0309 18:04:57.706805  3700 net.cpp:385] This network produces output prob
I0309 18:04:57.706830  3700 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0309 18:04:57.706837  3700 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0309 18:04:57.706845  3700 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0309 18:04:57.706851  3700 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0309 18:04:57.706856  3700 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0309 18:04:57.706862  3700 net.cpp:426] Network initialization done.
I0309 18:05:00.039651  3700 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0309 18:05:00.039721  3700 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0309 18:05:00.039733  3700 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0309 18:05:00.039795  3700 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0309 18:05:00.405791  3700 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0309 18:05:00.412094  3700 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0309 18:05:00.412107  3700 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0309 18:05:00.412613  3700 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0309 18:05:00.412623  3700 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0309 18:05:00.412628  3700 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0309 18:05:00.412632  3700 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0309 18:05:00.416108  3700 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0309 18:05:00.416144  3700 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0309 18:05:00.416151  3700 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0309 18:05:00.416154  3700 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0309 18:05:00.425905  3700 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0309 18:05:00.425916  3700 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0309 18:05:00.433279  3700 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0309 18:05:00.433288  3700 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0309 18:05:00.438267  3700 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0309 18:05:00.438278  3700 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0309 18:05:00.438282  3700 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0309 18:05:00.852329  3700 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0309 18:05:00.852370  3700 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0309 18:05:00.852376  3700 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0309 18:05:01.053897  3700 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0309 18:05:01.053949  3700 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0309 18:05:01.053956  3700 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0309 18:05:01.106902  3700 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/camera/image_0001.jpg
Classifying 1 inputs.
Done in 0.61 s.
Saving results into ../result.npy
chibi@1604:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n04069434 reflex camera | 91.9%
#2 | n03691459 loudspeaker, speaker, speaker unit, loudspeaker system, speaker system |  2.1%
#3 | n03843555 oil filter |  1.8%
chibi@1604:~/caffe$