Matlab 使用caffe示例

環境: Ubuntu 12.04 ,  Matlab 2013b

1. 首先修改Makefile.config中的MATLAB_DIR項， 如下所示
MATLAB_DIR := /u01/MATLAB/R2013b

2. 編譯下caffe下的matlab介面
make matcaffe

3. 切換到目錄/u01/caffe/examples/imagenet， 執行./get_caffe_reference_imagenet_model.sh下載訓練的模型

4. 切換到目錄/u01/caffe/matlab/caffe下，執行matlab呼叫caffe的示例，

matlab -nodisplay

>> run('matcaffe_demo.m')

......
layers {
  bottom: "conv4"
  top: "conv4"
  name: "relu4"
  type: RELU
}
layers {
  bottom: "conv4"
  top: "conv5"
  name: "conv5"
  type: CONVOLUTION
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    group: 2
  }
}
layers {
  bottom: "conv5"
  top: "conv5"
  name: "relu5"
  type: RELU
}
layers {
  bottom: "conv5"
  top: "pool5"
  name: "pool5"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool5"
  top: "fc6"
  name: "fc6"
  type: INNER_PRODUCT
  inner_product_param {
    num_output: 4096
  }
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "relu6"
  type: RELU
}
layers {
  bottom: "fc6"
  top: "fc6"
  name: "drop6"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc6"
  top: "fc7"
  name: "fc7"
  type: INNER_PRODUCT
  inner_product_param {
    num_output: 4096
  }
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "relu7"
  type: RELU
}
layers {
  bottom: "fc7"
  top: "fc7"
  name: "drop7"
  type: DROPOUT
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "fc7"
  top: "fc8"
  name: "fc8"
  type: INNER_PRODUCT
  inner_product_param {
    num_output: 1000
  }
}
layers {
  bottom: "fc8"
  top: "prob"
  name: "prob"
  type: SOFTMAX
}
input: "data"
input_dim: 10
input_dim: 3
input_dim: 227
input_dim: 227
I0912 18:22:26.956653 11968 net.cpp:292] Input 0 -> data
I0912 18:22:26.956778 11968 net.cpp:66] Creating Layer conv1
I0912 18:22:26.956809 11968 net.cpp:329] conv1 I0912 18:22:26.956889 11968 net.cpp:290] conv1 -> conv1
I0912 18:22:26.957068 11968 net.cpp:83] Top shape: 10 96 55 55 (2904000)
I0912 18:22:26.957139 11968 net.cpp:125] conv1 needs backward computation.
I0912 18:22:26.957207 11968 net.cpp:66] Creating Layer relu1
I0912 18:22:26.957243 11968 net.cpp:329] relu1 I0912 18:22:26.957279 11968 net.cpp:280] relu1 -> conv1 (in-place)
I0912 18:22:26.957347 11968 net.cpp:83] Top shape: 10 96 55 55 (2904000)
I0912 18:22:26.957382 11968 net.cpp:125] relu1 needs backward computation.
I0912 18:22:26.957422 11968 net.cpp:66] Creating Layer pool1
I0912 18:22:26.957458 11968 net.cpp:329] pool1 I0912 18:22:26.957496 11968 net.cpp:290] pool1 -> pool1
I0912 18:22:26.957548 11968 net.cpp:83] Top shape: 10 96 27 27 (699840)
I0912 18:22:26.957583 11968 net.cpp:125] pool1 needs backward computation.
I0912 18:22:26.957619 11968 net.cpp:66] Creating Layer norm1
I0912 18:22:26.957681 11968 net.cpp:329] norm1 I0912 18:22:26.957728 11968 net.cpp:290] norm1 -> norm1
I0912 18:22:26.957774 11968 net.cpp:83] Top shape: 10 96 27 27 (699840)
I0912 18:22:26.957809 11968 net.cpp:125] norm1 needs backward computation.
I0912 18:22:26.958052 11968 net.cpp:66] Creating Layer conv2
I0912 18:22:26.958092 11968 net.cpp:329] conv2 I0912 18:22:26.960306 11968 net.cpp:290] conv2 -> conv2
I0912 18:22:26.961231 11968 net.cpp:83] Top shape: 10 256 27 27 (1866240)
I0912 18:22:26.961369 11968 net.cpp:125] conv2 needs backward computation.
I0912 18:22:26.961398 11968 net.cpp:66] Creating Layer relu2
I0912 18:22:26.961436 11968 net.cpp:329] relu2 I0912 18:22:26.961468 11968 net.cpp:280] relu2 -> conv2 (in-place)
I0912 18:22:26.961496 11968 net.cpp:83] Top shape: 10 256 27 27 (1866240)
I0912 18:22:26.961516 11968 net.cpp:125] relu2 needs backward computation.
I0912 18:22:26.961539 11968 net.cpp:66] Creating Layer pool2
I0912 18:22:26.961593 11968 net.cpp:329] pool2 I0912 18:22:26.961629 11968 net.cpp:290] pool2 -> pool2
I0912 18:22:26.961676 11968 net.cpp:83] Top shape: 10 256 13 13 (432640)
I0912 18:22:26.961710 11968 net.cpp:125] pool2 needs backward computation.
I0912 18:22:26.961805 11968 net.cpp:66] Creating Layer norm2
I0912 18:22:26.961841 11968 net.cpp:329] norm2 I0912 18:22:26.961875 11968 net.cpp:290] norm2 -> norm2
I0912 18:22:26.961913 11968 net.cpp:83] Top shape: 10 256 13 13 (432640)
I0912 18:22:26.961969 11968 net.cpp:125] norm2 needs backward computation.
I0912 18:22:26.962023 11968 net.cpp:66] Creating Layer conv3
I0912 18:22:26.962059 11968 net.cpp:329] conv3 I0912 18:22:26.962096 11968 net.cpp:290] conv3 -> conv3
I0912 18:22:26.965011 11968 net.cpp:83] Top shape: 10 384 13 13 (648960)
I0912 18:22:26.965140 11968 net.cpp:125] conv3 needs backward computation.
I0912 18:22:26.965181 11968 net.cpp:66] Creating Layer relu3
I0912 18:22:26.965258 11968 net.cpp:329] relu3 I0912 18:22:26.965299 11968 net.cpp:280] relu3 -> conv3 (in-place)
I0912 18:22:26.965338 11968 net.cpp:83] Top shape: 10 384 13 13 (648960)
I0912 18:22:26.965479 11968 net.cpp:125] relu3 needs backward computation.
I0912 18:22:26.965520 11968 net.cpp:66] Creating Layer conv4
I0912 18:22:26.965555 11968 net.cpp:329] conv4 I0912 18:22:26.965634 11968 net.cpp:290] conv4 -> conv4
I0912 18:22:26.968613 11968 net.cpp:83] Top shape: 10 384 13 13 (648960)
I0912 18:22:26.968745 11968 net.cpp:125] conv4 needs backward computation.
I0912 18:22:26.968781 11968 net.cpp:66] Creating Layer relu4
I0912 18:22:26.968819 11968 net.cpp:329] relu4 I0912 18:22:26.968873 11968 net.cpp:280] relu4 -> conv4 (in-place)
I0912 18:22:26.968919 11968 net.cpp:83] Top shape: 10 384 13 13 (648960)
I0912 18:22:26.968992 11968 net.cpp:125] relu4 needs backward computation.
I0912 18:22:26.969028 11968 net.cpp:66] Creating Layer conv5
I0912 18:22:26.969066 11968 net.cpp:329] conv5 I0912 18:22:26.969108 11968 net.cpp:290] conv5 -> conv5
I0912 18:22:26.970634 11968 net.cpp:83] Top shape: 10 256 13 13 (432640)
I0912 18:22:26.970749 11968 net.cpp:125] conv5 needs backward computation.
I0912 18:22:26.970780 11968 net.cpp:66] Creating Layer relu5
I0912 18:22:26.970803 11968 net.cpp:329] relu5 I0912 18:22:26.970827 11968 net.cpp:280] relu5 -> conv5 (in-place)
I0912 18:22:26.970918 11968 net.cpp:83] Top shape: 10 256 13 13 (432640)
I0912 18:22:26.970952 11968 net.cpp:125] relu5 needs backward computation.
I0912 18:22:26.970988 11968 net.cpp:66] Creating Layer pool5
I0912 18:22:26.971233 11968 net.cpp:329] pool5 I0912 18:22:26.971282 11968 net.cpp:290] pool5 -> pool5
I0912 18:22:26.971361 11968 net.cpp:83] Top shape: 10 256 6 6 (92160)
I0912 18:22:26.971397 11968 net.cpp:125] pool5 needs backward computation.
I0912 18:22:26.971434 11968 net.cpp:66] Creating Layer fc6
I0912 18:22:26.971470 11968 net.cpp:329] fc6 I0912 18:22:26.971559 11968 net.cpp:290] fc6 -> fc6
I0912 18:22:27.069502 11968 net.cpp:83] Top shape: 10 4096 1 1 (40960)
I0912 18:22:27.069640 11968 net.cpp:125] fc6 needs backward computation.
I0912 18:22:27.069672 11968 net.cpp:66] Creating Layer relu6
I0912 18:22:27.069694 11968 net.cpp:329] relu6 I0912 18:22:27.069718 11968 net.cpp:280] relu6 -> fc6 (in-place)
I0912 18:22:27.069743 11968 net.cpp:83] Top shape: 10 4096 1 1 (40960)
I0912 18:22:27.069763 11968 net.cpp:125] relu6 needs backward computation.
I0912 18:22:27.069792 11968 net.cpp:66] Creating Layer drop6
I0912 18:22:27.069824 11968 net.cpp:329] drop6 I0912 18:22:27.069875 11968 net.cpp:280] drop6 -> fc6 (in-place)
I0912 18:22:27.069954 11968 net.cpp:83] Top shape: 10 4096 1 1 (40960)
I0912 18:22:27.069990 11968 net.cpp:125] drop6 needs backward computation.
I0912 18:22:27.070144 11968 net.cpp:66] Creating Layer fc7
I0912 18:22:27.070173 11968 net.cpp:329] fc7 I0912 18:22:27.070199 11968 net.cpp:290] fc7 -> fc7
I0912 18:22:27.111870 11968 net.cpp:83] Top shape: 10 4096 1 1 (40960)
I0912 18:22:27.111963 11968 net.cpp:125] fc7 needs backward computation.
I0912 18:22:27.111991 11968 net.cpp:66] Creating Layer relu7
I0912 18:22:27.112015 11968 net.cpp:329] relu7 I0912 18:22:27.112040 11968 net.cpp:280] relu7 -> fc7 (in-place)
I0912 18:22:27.112068 11968 net.cpp:83] Top shape: 10 4096 1 1 (40960)
I0912 18:22:27.112139 11968 net.cpp:125] relu7 needs backward computation.
I0912 18:22:27.112164 11968 net.cpp:66] Creating Layer drop7
I0912 18:22:27.112184 11968 net.cpp:329] drop7 I0912 18:22:27.112213 11968 net.cpp:280] drop7 -> fc7 (in-place)
I0912 18:22:27.112242 11968 net.cpp:83] Top shape: 10 4096 1 1 (40960)
I0912 18:22:27.112263 11968 net.cpp:125] drop7 needs backward computation.
I0912 18:22:27.112285 11968 net.cpp:66] Creating Layer fc8
I0912 18:22:27.112305 11968 net.cpp:329] fc8 I0912 18:22:27.112334 11968 net.cpp:290] fc8 -> fc8
I0912 18:22:27.122274 11968 net.cpp:83] Top shape: 10 1000 1 1 (10000)
I0912 18:22:27.122380 11968 net.cpp:125] fc8 needs backward computation.
I0912 18:22:27.122421 11968 net.cpp:66] Creating Layer prob
I0912 18:22:27.122503 11968 net.cpp:329] prob I0912 18:22:27.122547 11968 net.cpp:290] prob -> prob
I0912 18:22:27.122660 11968 net.cpp:83] Top shape: 10 1000 1 1 (10000)
I0912 18:22:27.122688 11968 net.cpp:125] prob needs backward computation.
I0912 18:22:27.122706 11968 net.cpp:156] This network produces output prob
I0912 18:22:27.122745 11968 net.cpp:402] Collecting Learning Rate and Weight Decay.
I0912 18:22:27.122769 11968 net.cpp:167] Network initialization done.
I0912 18:22:27.122788 11968 net.cpp:168] Memory required for data: 6183480
Done with init
Using CPU Mode
Done with set_mode
Done with set_phase_test
Elapsed time is 0.579487 seconds.
Elapsed time is 3.748376 seconds.


ans =


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