chibi@zori:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/cougar_face/image_0033.jpg ../result.npy; cd ..
CPU mode
WARNING: Logging before InitGoogleLogging() is written to STDERR
I1017 11:32:03.457757  3007 net.cpp:53] 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"
}
I1017 11:32:03.457881  3007 layer_factory.hpp:77] Creating layer data
I1017 11:32:03.457892  3007 net.cpp:86] Creating Layer data
I1017 11:32:03.457898  3007 net.cpp:382] data -> data
I1017 11:32:03.457913  3007 net.cpp:124] Setting up data
I1017 11:32:03.457921  3007 net.cpp:131] Top shape: 10 3 227 227 (1545870)
I1017 11:32:03.457926  3007 net.cpp:139] Memory required for data: 6183480
I1017 11:32:03.457929  3007 layer_factory.hpp:77] Creating layer conv1
I1017 11:32:03.457937  3007 net.cpp:86] Creating Layer conv1
I1017 11:32:03.457940  3007 net.cpp:408] conv1 <- data
I1017 11:32:03.457947  3007 net.cpp:382] conv1 -> conv1
I1017 11:32:04.356118  3007 net.cpp:124] Setting up conv1
I1017 11:32:04.356144  3007 net.cpp:131] Top shape: 10 96 55 55 (2904000)
I1017 11:32:04.356153  3007 net.cpp:139] Memory required for data: 17799480
I1017 11:32:04.356171  3007 layer_factory.hpp:77] Creating layer relu1
I1017 11:32:04.356184  3007 net.cpp:86] Creating Layer relu1
I1017 11:32:04.356189  3007 net.cpp:408] relu1 <- conv1
I1017 11:32:04.356194  3007 net.cpp:369] relu1 -> conv1 (in-place)
I1017 11:32:04.356554  3007 net.cpp:124] Setting up relu1
I1017 11:32:04.356564  3007 net.cpp:131] Top shape: 10 96 55 55 (2904000)
I1017 11:32:04.356570  3007 net.cpp:139] Memory required for data: 29415480
I1017 11:32:04.356573  3007 layer_factory.hpp:77] Creating layer pool1
I1017 11:32:04.356580  3007 net.cpp:86] Creating Layer pool1
I1017 11:32:04.356585  3007 net.cpp:408] pool1 <- conv1
I1017 11:32:04.356590  3007 net.cpp:382] pool1 -> pool1
I1017 11:32:04.356603  3007 net.cpp:124] Setting up pool1
I1017 11:32:04.356609  3007 net.cpp:131] Top shape: 10 96 27 27 (699840)
I1017 11:32:04.356612  3007 net.cpp:139] Memory required for data: 32214840
I1017 11:32:04.356616  3007 layer_factory.hpp:77] Creating layer norm1
I1017 11:32:04.356624  3007 net.cpp:86] Creating Layer norm1
I1017 11:32:04.356628  3007 net.cpp:408] norm1 <- pool1
I1017 11:32:04.356632  3007 net.cpp:382] norm1 -> norm1
I1017 11:32:04.357167  3007 net.cpp:124] Setting up norm1
I1017 11:32:04.357179  3007 net.cpp:131] Top shape: 10 96 27 27 (699840)
I1017 11:32:04.357183  3007 net.cpp:139] Memory required for data: 35014200
I1017 11:32:04.357187  3007 layer_factory.hpp:77] Creating layer conv2
I1017 11:32:04.357197  3007 net.cpp:86] Creating Layer conv2
I1017 11:32:04.357200  3007 net.cpp:408] conv2 <- norm1
I1017 11:32:04.357205  3007 net.cpp:382] conv2 -> conv2
I1017 11:32:04.361162  3007 net.cpp:124] Setting up conv2
I1017 11:32:04.361176  3007 net.cpp:131] Top shape: 10 256 27 27 (1866240)
I1017 11:32:04.361181  3007 net.cpp:139] Memory required for data: 42479160
I1017 11:32:04.361189  3007 layer_factory.hpp:77] Creating layer relu2
I1017 11:32:04.361197  3007 net.cpp:86] Creating Layer relu2
I1017 11:32:04.361202  3007 net.cpp:408] relu2 <- conv2
I1017 11:32:04.361207  3007 net.cpp:369] relu2 -> conv2 (in-place)
I1017 11:32:04.361814  3007 net.cpp:124] Setting up relu2
I1017 11:32:04.361825  3007 net.cpp:131] Top shape: 10 256 27 27 (1866240)
I1017 11:32:04.361829  3007 net.cpp:139] Memory required for data: 49944120
I1017 11:32:04.361834  3007 layer_factory.hpp:77] Creating layer pool2
I1017 11:32:04.361840  3007 net.cpp:86] Creating Layer pool2
I1017 11:32:04.361843  3007 net.cpp:408] pool2 <- conv2
I1017 11:32:04.361850  3007 net.cpp:382] pool2 -> pool2
I1017 11:32:04.361860  3007 net.cpp:124] Setting up pool2
I1017 11:32:04.361865  3007 net.cpp:131] Top shape: 10 256 13 13 (432640)
I1017 11:32:04.361868  3007 net.cpp:139] Memory required for data: 51674680
I1017 11:32:04.361871  3007 layer_factory.hpp:77] Creating layer norm2
I1017 11:32:04.361878  3007 net.cpp:86] Creating Layer norm2
I1017 11:32:04.361883  3007 net.cpp:408] norm2 <- pool2
I1017 11:32:04.361888  3007 net.cpp:382] norm2 -> norm2
I1017 11:32:04.362298  3007 net.cpp:124] Setting up norm2
I1017 11:32:04.362308  3007 net.cpp:131] Top shape: 10 256 13 13 (432640)
I1017 11:32:04.362313  3007 net.cpp:139] Memory required for data: 53405240
I1017 11:32:04.362315  3007 layer_factory.hpp:77] Creating layer conv3
I1017 11:32:04.362324  3007 net.cpp:86] Creating Layer conv3
I1017 11:32:04.362329  3007 net.cpp:408] conv3 <- norm2
I1017 11:32:04.362334  3007 net.cpp:382] conv3 -> conv3
I1017 11:32:04.365254  3007 net.cpp:124] Setting up conv3
I1017 11:32:04.365267  3007 net.cpp:131] Top shape: 10 384 13 13 (648960)
I1017 11:32:04.365272  3007 net.cpp:139] Memory required for data: 56001080
I1017 11:32:04.365281  3007 layer_factory.hpp:77] Creating layer relu3
I1017 11:32:04.365289  3007 net.cpp:86] Creating Layer relu3
I1017 11:32:04.365293  3007 net.cpp:408] relu3 <- conv3
I1017 11:32:04.365298  3007 net.cpp:369] relu3 -> conv3 (in-place)
I1017 11:32:04.365914  3007 net.cpp:124] Setting up relu3
I1017 11:32:04.365926  3007 net.cpp:131] Top shape: 10 384 13 13 (648960)
I1017 11:32:04.365931  3007 net.cpp:139] Memory required for data: 58596920
I1017 11:32:04.365934  3007 layer_factory.hpp:77] Creating layer conv4
I1017 11:32:04.365943  3007 net.cpp:86] Creating Layer conv4
I1017 11:32:04.365947  3007 net.cpp:408] conv4 <- conv3
I1017 11:32:04.365954  3007 net.cpp:382] conv4 -> conv4
I1017 11:32:04.372030  3007 net.cpp:124] Setting up conv4
I1017 11:32:04.372043  3007 net.cpp:131] Top shape: 10 384 13 13 (648960)
I1017 11:32:04.372047  3007 net.cpp:139] Memory required for data: 61192760
I1017 11:32:04.372054  3007 layer_factory.hpp:77] Creating layer relu4
I1017 11:32:04.372063  3007 net.cpp:86] Creating Layer relu4
I1017 11:32:04.372068  3007 net.cpp:408] relu4 <- conv4
I1017 11:32:04.372073  3007 net.cpp:369] relu4 -> conv4 (in-place)
I1017 11:32:04.372493  3007 net.cpp:124] Setting up relu4
I1017 11:32:04.372504  3007 net.cpp:131] Top shape: 10 384 13 13 (648960)
I1017 11:32:04.372509  3007 net.cpp:139] Memory required for data: 63788600
I1017 11:32:04.372512  3007 layer_factory.hpp:77] Creating layer conv5
I1017 11:32:04.372520  3007 net.cpp:86] Creating Layer conv5
I1017 11:32:04.372525  3007 net.cpp:408] conv5 <- conv4
I1017 11:32:04.372529  3007 net.cpp:382] conv5 -> conv5
I1017 11:32:04.377566  3007 net.cpp:124] Setting up conv5
I1017 11:32:04.377579  3007 net.cpp:131] Top shape: 10 256 13 13 (432640)
I1017 11:32:04.377584  3007 net.cpp:139] Memory required for data: 65519160
I1017 11:32:04.377596  3007 layer_factory.hpp:77] Creating layer relu5
I1017 11:32:04.377604  3007 net.cpp:86] Creating Layer relu5
I1017 11:32:04.377607  3007 net.cpp:408] relu5 <- conv5
I1017 11:32:04.377614  3007 net.cpp:369] relu5 -> conv5 (in-place)
I1017 11:32:04.378039  3007 net.cpp:124] Setting up relu5
I1017 11:32:04.378051  3007 net.cpp:131] Top shape: 10 256 13 13 (432640)
I1017 11:32:04.378054  3007 net.cpp:139] Memory required for data: 67249720
I1017 11:32:04.378059  3007 layer_factory.hpp:77] Creating layer pool5
I1017 11:32:04.378065  3007 net.cpp:86] Creating Layer pool5
I1017 11:32:04.378069  3007 net.cpp:408] pool5 <- conv5
I1017 11:32:04.378075  3007 net.cpp:382] pool5 -> pool5
I1017 11:32:04.378084  3007 net.cpp:124] Setting up pool5
I1017 11:32:04.378089  3007 net.cpp:131] Top shape: 10 256 6 6 (92160)
I1017 11:32:04.378093  3007 net.cpp:139] Memory required for data: 67618360
I1017 11:32:04.378096  3007 layer_factory.hpp:77] Creating layer fc6
I1017 11:32:04.378104  3007 net.cpp:86] Creating Layer fc6
I1017 11:32:04.378109  3007 net.cpp:408] fc6 <- pool5
I1017 11:32:04.378113  3007 net.cpp:382] fc6 -> fc6
I1017 11:32:04.436795  3007 net.cpp:124] Setting up fc6
I1017 11:32:04.436820  3007 net.cpp:131] Top shape: 10 4096 (40960)
I1017 11:32:04.436823  3007 net.cpp:139] Memory required for data: 67782200
I1017 11:32:04.436833  3007 layer_factory.hpp:77] Creating layer relu6
I1017 11:32:04.436842  3007 net.cpp:86] Creating Layer relu6
I1017 11:32:04.436847  3007 net.cpp:408] relu6 <- fc6
I1017 11:32:04.436856  3007 net.cpp:369] relu6 -> fc6 (in-place)
I1017 11:32:04.437695  3007 net.cpp:124] Setting up relu6
I1017 11:32:04.437707  3007 net.cpp:131] Top shape: 10 4096 (40960)
I1017 11:32:04.437712  3007 net.cpp:139] Memory required for data: 67946040
I1017 11:32:04.437716  3007 layer_factory.hpp:77] Creating layer drop6
I1017 11:32:04.437727  3007 net.cpp:86] Creating Layer drop6
I1017 11:32:04.437732  3007 net.cpp:408] drop6 <- fc6
I1017 11:32:04.437739  3007 net.cpp:369] drop6 -> fc6 (in-place)
I1017 11:32:04.437747  3007 net.cpp:124] Setting up drop6
I1017 11:32:04.437752  3007 net.cpp:131] Top shape: 10 4096 (40960)
I1017 11:32:04.437755  3007 net.cpp:139] Memory required for data: 68109880
I1017 11:32:04.437759  3007 layer_factory.hpp:77] Creating layer fc7
I1017 11:32:04.437765  3007 net.cpp:86] Creating Layer fc7
I1017 11:32:04.437769  3007 net.cpp:408] fc7 <- fc6
I1017 11:32:04.437774  3007 net.cpp:382] fc7 -> fc7
I1017 11:32:04.463646  3007 net.cpp:124] Setting up fc7
I1017 11:32:04.463672  3007 net.cpp:131] Top shape: 10 4096 (40960)
I1017 11:32:04.463675  3007 net.cpp:139] Memory required for data: 68273720
I1017 11:32:04.463685  3007 layer_factory.hpp:77] Creating layer relu7
I1017 11:32:04.463693  3007 net.cpp:86] Creating Layer relu7
I1017 11:32:04.463698  3007 net.cpp:408] relu7 <- fc7
I1017 11:32:04.463706  3007 net.cpp:369] relu7 -> fc7 (in-place)
I1017 11:32:04.464275  3007 net.cpp:124] Setting up relu7
I1017 11:32:04.464287  3007 net.cpp:131] Top shape: 10 4096 (40960)
I1017 11:32:04.464290  3007 net.cpp:139] Memory required for data: 68437560
I1017 11:32:04.464295  3007 layer_factory.hpp:77] Creating layer drop7
I1017 11:32:04.464303  3007 net.cpp:86] Creating Layer drop7
I1017 11:32:04.464308  3007 net.cpp:408] drop7 <- fc7
I1017 11:32:04.464314  3007 net.cpp:369] drop7 -> fc7 (in-place)
I1017 11:32:04.464321  3007 net.cpp:124] Setting up drop7
I1017 11:32:04.464326  3007 net.cpp:131] Top shape: 10 4096 (40960)
I1017 11:32:04.464330  3007 net.cpp:139] Memory required for data: 68601400
I1017 11:32:04.464334  3007 layer_factory.hpp:77] Creating layer fc8
I1017 11:32:04.464339  3007 net.cpp:86] Creating Layer fc8
I1017 11:32:04.464342  3007 net.cpp:408] fc8 <- fc7
I1017 11:32:04.464349  3007 net.cpp:382] fc8 -> fc8
I1017 11:32:04.469679  3007 net.cpp:124] Setting up fc8
I1017 11:32:04.469689  3007 net.cpp:131] Top shape: 10 1000 (10000)
I1017 11:32:04.469693  3007 net.cpp:139] Memory required for data: 68641400
I1017 11:32:04.469700  3007 layer_factory.hpp:77] Creating layer prob
I1017 11:32:04.469707  3007 net.cpp:86] Creating Layer prob
I1017 11:32:04.469710  3007 net.cpp:408] prob <- fc8
I1017 11:32:04.469715  3007 net.cpp:382] prob -> prob
I1017 11:32:04.471611  3007 net.cpp:124] Setting up prob
I1017 11:32:04.471622  3007 net.cpp:131] Top shape: 10 1000 (10000)
I1017 11:32:04.471626  3007 net.cpp:139] Memory required for data: 68681400
I1017 11:32:04.471630  3007 net.cpp:202] prob does not need backward computation.
I1017 11:32:04.471635  3007 net.cpp:202] fc8 does not need backward computation.
I1017 11:32:04.471639  3007 net.cpp:202] drop7 does not need backward computation.
I1017 11:32:04.471643  3007 net.cpp:202] relu7 does not need backward computation.
I1017 11:32:04.471647  3007 net.cpp:202] fc7 does not need backward computation.
I1017 11:32:04.471652  3007 net.cpp:202] drop6 does not need backward computation.
I1017 11:32:04.471655  3007 net.cpp:202] relu6 does not need backward computation.
I1017 11:32:04.471659  3007 net.cpp:202] fc6 does not need backward computation.
I1017 11:32:04.471663  3007 net.cpp:202] pool5 does not need backward computation.
I1017 11:32:04.471668  3007 net.cpp:202] relu5 does not need backward computation.
I1017 11:32:04.471671  3007 net.cpp:202] conv5 does not need backward computation.
I1017 11:32:04.471675  3007 net.cpp:202] relu4 does not need backward computation.
I1017 11:32:04.471678  3007 net.cpp:202] conv4 does not need backward computation.
I1017 11:32:04.471683  3007 net.cpp:202] relu3 does not need backward computation.
I1017 11:32:04.471686  3007 net.cpp:202] conv3 does not need backward computation.
I1017 11:32:04.471693  3007 net.cpp:202] norm2 does not need backward computation.
I1017 11:32:04.471696  3007 net.cpp:202] pool2 does not need backward computation.
I1017 11:32:04.471700  3007 net.cpp:202] relu2 does not need backward computation.
I1017 11:32:04.471704  3007 net.cpp:202] conv2 does not need backward computation.
I1017 11:32:04.471709  3007 net.cpp:202] norm1 does not need backward computation.
I1017 11:32:04.471711  3007 net.cpp:202] pool1 does not need backward computation.
I1017 11:32:04.471715  3007 net.cpp:202] relu1 does not need backward computation.
I1017 11:32:04.471719  3007 net.cpp:202] conv1 does not need backward computation.
I1017 11:32:04.471724  3007 net.cpp:202] data does not need backward computation.
I1017 11:32:04.471727  3007 net.cpp:244] This network produces output prob
I1017 11:32:04.471740  3007 net.cpp:257] Network initialization done.
I1017 11:32:04.603453  3007 upgrade_proto.cpp:46] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I1017 11:32:04.603482  3007 upgrade_proto.cpp:49] Successfully upgraded file specified using deprecated data transformation parameters.
W1017 11:32:04.603487  3007 upgrade_proto.cpp:51] Note that future Caffe releases will only support transform_param messages for transformation fields.
I1017 11:32:04.603489  3007 upgrade_proto.cpp:55] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I1017 11:32:04.823818  3007 upgrade_proto.cpp:63] Successfully upgraded file specified using deprecated V1LayerParameter
I1017 11:32:04.862773  3007 net.cpp:746] Ignoring source layer loss
Loading file: ../101_ObjectCategories/cougar_face/image_0033.jpg
Classifying 1 inputs.
Done in 1.04 s.
Saving results into ../result.npy
chibi@zori:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02125311 cougar, puma, catamount, mountain lion, painter, panther, Felis concolor | 99.3%
#2 | n02114712 red wolf, maned wolf, Canis rufus, Canis niger |  0.1%
#3 | n02129165 lion, king of beasts, Panthera leo |  0.1%
chibi@zori:~/caffe$