关于Windows下编译Caffe的Matlab接口

本文对本人前述博文中关于在Windows下编译Caffe的Matlab接口问题，作一些总结，首先看一下本文编译成功的CommonSettings.props文件范例，如下所示：

<?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">
<BuildDir>$(SolutionDir)..\Build</BuildDir>
<!--NOTE: CpuOnlyBuild and UseCuDNN flags can't be set at the same time.-->
<CpuOnlyBuild>false</CpuOnlyBuild>
<UseCuDNN>false</UseCuDNN>
<CudaVersion>8.0</CudaVersion>
<!-- NOTE: If Python support is enabled, PythonDir (below) needs to be
set to the root of your Python installation. If your Python installation
does not contain debug libraries, debug build will not work. -->
<PythonSupport>false</PythonSupport>
<!-- NOTE: If Matlab support is enabled, MatlabDir (below) needs to be
set to the root of your Matlab installation. -->
<MatlabSupport>true</MatlabSupport>
<CudaDependencies></CudaDependencies>

<!-- Set CUDA architecture suitable for your GPU.
Setting proper architecture is important to mimize your run and compile time. -->
<CudaArchitecture>compute_35,sm_35;compute_52,sm_52;compute_61,sm_61</CudaArchitecture>

<!-- CuDNN 4 and 5 are supported -->
<CuDnnPath></CuDnnPath>
<ScriptsDir>$(SolutionDir)\scripts</ScriptsDir>
</PropertyGroup>
<PropertyGroup Condition="'$(CpuOnlyBuild)'=='false'">
<CudaDependencies>cublas.lib;cuda.lib;curand.lib;cudart.lib</CudaDependencies>
</PropertyGroup>

<PropertyGroup Condition="'$(UseCuDNN)'=='true'">
<CudaDependencies>cudnn.lib;$(CudaDependencies)</CudaDependencies>
</PropertyGroup>
<PropertyGroup Condition="'$(UseCuDNN)'=='true' And $(CuDnnPath)!=''">
<LibraryPath>$(CuDnnPath)\cuda\lib\x64;$(LibraryPath)</LibraryPath>
<IncludePath>$(CuDnnPath)\cuda\include;$(IncludePath)</IncludePath>
</PropertyGroup>

<PropertyGroup>
<OutDir>$(BuildDir)\$(Platform)\$(Configuration)\</OutDir>
<IntDir>$(BuildDir)\Int\$(ProjectName)\$(Platform)\$(Configuration)\</IntDir>
</PropertyGroup>
<PropertyGroup>
<LibraryPath>$(OutDir);$(CUDA_PATH)\lib\$(Platform);$(LibraryPath)</LibraryPath>
<IncludePath>$(SolutionDir)..\include;$(SolutionDir)..\include\caffe\proto;$(CUDA_PATH)\include;$(IncludePath)</IncludePath>
</PropertyGroup>
<PropertyGroup Condition="'$(PythonSupport)'=='true'">
<PythonDir>D:\Anaconda3\Anaconda</PythonDir>
<LibraryPath>$(PythonDir)\libs;$(LibraryPath)</LibraryPath>
<IncludePath>$(PythonDir)\include;$(IncludePath)</IncludePath>
</PropertyGroup>
<PropertyGroup Condition="'$(MatlabSupport)'=='true'">
<MatlabDir>E:\CommonSoftware\Matlab2015b</MatlabDir>
<LibraryPath>$(MatlabDir)\extern\lib\win64\microsoft;$(LibraryPath)</LibraryPath>
<IncludePath>$(MatlabDir)\extern\include;$(MatlabDir)\toolbox\distcomp\gpu\extern\include;$(IncludePath)</IncludePath>
</PropertyGroup>
<ItemDefinitionGroup Condition="'$(CpuOnlyBuild)'=='true'">
<ClCompile>
<PreprocessorDefinitions>CPU_ONLY;%(PreprocessorDefinitions)</PreprocessorDefinitions>
</ClCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(UseCuDNN)'=='true'">
<ClCompile>
<PreprocessorDefinitions>USE_CUDNN;%(PreprocessorDefinitions)</PreprocessorDefinitions>
</ClCompile>
<CudaCompile>
<Defines>USE_CUDNN</Defines>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(PythonSupport)'=='true'">
<ClCompile>
<PreprocessorDefinitions>WITH_PYTHON_LAYER;BOOST_PYTHON_STATIC_LIB;%(PreprocessorDefinitions)</PreprocessorDefinitions>
</ClCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(MatlabSupport)'=='true'">
<ClCompile>
<PreprocessorDefinitions>MATLAB_MEX_FILE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
</ClCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup>
<ClCompile>
<MinimalRebuild>false</MinimalRebuild>
<MultiProcessorCompilation>true</MultiProcessorCompilation>
<PreprocessorDefinitions>_SCL_SECURE_NO_WARNINGS;USE_OPENCV;USE_LEVELDB;USE_LMDB;%(PreprocessorDefinitions)</PreprocessorDefinitions>
<TreatWarningAsError>true</TreatWarningAsError>
</ClCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
<ClCompile>
<Optimization>Full</Optimization>
<PreprocessorDefinitions>NDEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
<RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
<FunctionLevelLinking>true</FunctionLevelLinking>
</ClCompile>
<Link>
<EnableCOMDATFolding>true</EnableCOMDATFolding>
<GenerateDebugInformation>true</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
<OptimizeReferences>true</OptimizeReferences>
</Link>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
<ClCompile>
<Optimization>Disabled</Optimization>
<PreprocessorDefinitions>_DEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
<RuntimeLibrary>MultiThreadedDebugDLL</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>true</GenerateDebugInformation>
</Link>
</ItemDefinitionGroup>
</Project>
其中重点在如下截图部分：



本人在首次编译时，将<UseCuDNN>true</UseCuDNN>时，并下载了相应的cudnn，可是在编译时总是出一些莫名奇妙的错误，具体解决方案在前述博文中有涉及。在这里，本人将其改为<UseCuDNN>false</UseCuDNN>时，编译不再出现关于cudnn的错误，但是出现了找不到Python2.7 Lib有关的问题，可是想用Python3.5编译（前述博文试过，出错，但是Python2.7就不出错），设置的路径也是Python3的，可是总是出错。于是，如此设置<PythonSupport>false</PythonSupport>（本人只想编译matcaffe接口），于是一路编译下去再没出现任何编译错误。当你不需要pycaffe接口和cudnn支持的时候，仅仅需要在matlab下玩转Caffe，这种编译方法最简单，也不容易出错。在Build\x64\Release\matcaffe\+caffe\private路径下出现caffe_.mexw64文件才算编译成功。

编译后的接口在路径Build\x64\Release下，需要把它加入环境变量的系统路径下，或者直接把该路径下和caffe_.mexw64等文件拷贝到Matlab的classification_demo的当前路径下，一般就可以运行该程序了，运行结果如下：

%参考http://www.aichengxu.com/view/2422137
clear
clc

im = imread('../../examples/images/cat.jpg');%读取图片
figure;imshow(im);%显示图片
[scores, maxlabel] = classification_demo(im, 0);%获取得分第二个参数0为CPU，1为GPU
maxlabel %查看最大标签是谁
figure;plot(scores);%画出得分情况
axis([0, 999, -0.1, 0.5]);%坐标轴范围
grid on %有网格

fid = fopen('synset_words.txt', 'r');
i=0;
while ~feof(fid)
i=i+1;
lin = fgetl(fid);
lin = strtrim(lin);
if(i==maxlabel)
fprintf('the label of %d is %s\n',i,lin)
break
end
end


synset_words.txt是ImageNet数据集的分类标签，需要另外下载，网上可下。还需要下载bvlc_reference_caffenet.caffemodel，方可运行成功，Caffe model zoo可下。