平臺環境

windows8.1，visual studio 2013 ，Anaconda2（本文安裝路徑為C:\Anaconda2），暫時無GPU支持

步驟

1.編譯pycaffe

• 從https://github.com/happynear/caffe-windows下載caffe，編譯過程不再贅述，只講pycaffe編譯過程配置。
• 配置python和numpy所需的頭文件和庫文件。打開 Property Manager ，在Release|x64 中添加項Python，如下圖：?
  
• 用記事本打開Python.props修改文件內容如下：

<?xml version="1.0" encoding="utf-8"?> <Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003"><ImportGroup Label="PropertySheets" /><PropertyGroup Label="UserMacros" /><PropertyGroup><IncludePath>C:\Anaconda2\include;C:\Anaconda2\Lib\site-packages\numpy\core\include;$(IncludePath)</IncludePath><LibraryPath>C:\Anaconda2\libs;$(LibraryPath)</LibraryPath></PropertyGroup><ItemDefinitionGroup><Link><AdditionalDependencies>python27.lib;%(AdditionalDependencies)</AdditionalDependencies></Link></ItemDefinitionGroup><ItemGroup/> </Project>

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• 以上路徑可以根據實際情況改變
• 編譯輸出路徑為../../python/caffe,打開輸出路徑將整個輸出路徑中的caffe 文件夾拷貝到C:\Anaconda2\Lib中

2. 安裝protobuf的python版本

• 從https://github.com/google/protobuf/releases下載相應的python版protobuf,根據readme安裝，注意python環境變量配置為Anaconda的安裝目錄
• 新建文件visualization.bat，visualization.py內容分別如下
• visualization.bat:

SET Path=D:\caffe\caffe-windows\3rdparty\bin;D:\Program Files\opencv\x64\vc12\bin;D:\caffe\caffe-windows\bin;C:\Anaconda2;python visualization.py pause

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• visualization.py:顯示vgg的conv1_1層（vggnet模型和網絡文件下載：http://www.robots.ox.ac.uk/~vgg/software/vgg_face/）

# -*- coding: utf-8 -*- """ Spyder Editor This is a temporary script file. """ import numpy as np import matplotlib.pyplot as plt import os,sys,caffe def show_feature(data, padsize=1, padval=0):data -= data.min()data /= data.max()# force the number of filters to be squaren = int(np.ceil(np.sqrt(data.shape[0])))padding = ((0, n ** 2 - data.shape[0]), (0, padsize), (0, padsize)) + ((0, 0),) * (data.ndim - 3)data = np.pad(data, padding, mode='constant', constant_values=(padval, padval))# tile the filters into an imagedata = data.reshape((n, n) + data.shape[1:]).transpose((0, 2, 1, 3) + tuple(range(4, data.ndim + 1)))data = data.reshape((n * data.shape[1], n * data.shape[3]) + data.shape[4:])plt.imshow(data)plt.axis('off')plt.show() if __name__ == '__main__':plt.rcParams['figure.figsize'] = (8, 8)plt.rcParams['image.interpolation'] = 'nearest'plt.rcParams['image.cmap'] = 'gray'net = caffe.Net('D:/caffe/vgg_face_caffe/VGG_FACE_deploy_back.prototxt','D:/caffe/vgg_face_caffe/VGG_FACE.caffemodel',caffe.TEST)print [(k, v[0].data.shape) for k, v in net.params.items()]weight = net.params["conv1_1"][0].dataprint weight.shapeshow_feature(weight.transpose(0, 2, 3, 1))

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3.運行visualization.bat

• 可以參照博客http://www.cnblogs.com/denny402/p/5103425.html輸出其他層

總結

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