windows下vs2013配置caffe及基本使用

目前已經用python代碼搭建了CNN來做目標分類、檢測、分割（用python搭建速度快，非常方便）。之後又轉用tensorflow的C++ API來搭建CNN重新實現一遍目標分類、檢測、分割（執行效率高）。現在再轉用caffe實現一遍。

先從配置說起。

1.準備環境

（1） VS2013

（2） cuda8.0+cudnnv5.1(如何安裝配置驗證參考我的之前博文）點擊打開鏈接

（3） caffe-master 點擊打開鏈接

（4）因爲在編譯過程中會自動nuget一些相關包，所以要確保安裝了Nuget,如果沒有可以在此鏈接下下載點擊打開鏈接，選擇vs2013版的

（5） matlab2014a //編譯caffe的matlab接口要用

（6） Anaconda2 //編譯caffe的python接口要用

2. 用VS2013打開caffe-master文件夾下的Caffe.sln解決方案

(1)拷貝一份CommonSettings.props.example並把備份文件改名爲CommonSettings.props

（2）修改CommonSettings.props的文件中的值，結合自己的配置路徑設置，我的設置如下：

<?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">
        <BuildDir>$(SolutionDir)..\Build</BuildDir>
        <!--NOTE: CpuOnlyBuild and UseCuDNN flags can't be set at the same time.-->
        <CpuOnlyBuild>false</CpuOnlyBuild>  //用GPU編譯這裏設爲false
        <UseCuDNN>true</UseCuDNN>          //啓用cudnn
        <CudaVersion>8.0</CudaVersion>     //cuda版本
        <!-- 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>true</PythonSupport> //支持生成python接口
        <!-- NOTE: If Matlab support is enabled, MatlabDir (below) needs to be
         set to the root of your Matlab installation. -->
        <MatlabSupport>true</MatlabSupport> //支持生成matlab接口
        <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</CudaArchitecture>

        <!-- CuDNN 4 and 5 are supported -->
        <CuDnnPath>D:\software\cudnn-8.0-windows7-x64-v5.1</CuDnnPath> //cuddnv5.1的路徑
	<CUDA_PATH>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0</CUDA_PATH> //這行是我自己加上的，選擇好cuda8.0的位置
        <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>C:\Program Files\Anaconda2</PythonDir> //python35.dll python.exe所在的路徑
        <LibraryPath>$(PythonDir)\libs;$(LibraryPath)</LibraryPath>
        <IncludePath>$(PythonDir)\include;$(IncludePath)</IncludePath>
    </PropertyGroup>
    <PropertyGroup Condition="'$(MatlabSupport)'=='true'">
        <MatlabDir>C:\Program Files\MATLAB\R2014a</MatlabDir> //matlab所在的路徑
        <LibraryPath>$(MatlabDir)\extern\lib\win64\microsoft;$(LibraryPath)</LibraryPath>
        <IncludePath>$(MatlabDir)\extern\include;$(MatlabDir)\toolbox\distcomp\gpu\extern\include;$(IncludePath)</IncludePath> //自己添加了一個$(MatlabDir)\toolbox\distcomp\gpu\extern\include
    </PropertyGroup>
    <ItemDefinitionGroup Condition="'$(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>
        <CpuOnlyBuild>false</CpuOnlyBuild>  //用GPU編譯這裏設爲false
        <UseCuDNN>true</UseCuDNN>          //啓用cudnn
        <CudaVersion>8.0</CudaVersion>     //cuda版本
        <!-- 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>true</PythonSupport> //支持生成python接口
        <!-- NOTE: If Matlab support is enabled, MatlabDir (below) needs to be
         set to the root of your Matlab installation. -->
        <MatlabSupport>true</MatlabSupport> //支持生成matlab接口
        <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</CudaArchitecture>

        <!-- CuDNN 4 and 5 are supported -->
        <CuDnnPath>D:\software\cudnn-8.0-windows7-x64-v5.1</CuDnnPath> //cuddnv5.1的路徑
	<CUDA_PATH>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0</CUDA_PATH> //這行是我自己加上的，選擇好cuda8.0的位置
        <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>C:\Program Files\Anaconda2</PythonDir> //python35.dll python.exe所在的路徑
        <LibraryPath>$(PythonDir)\libs;$(LibraryPath)</LibraryPath>
        <IncludePath>$(PythonDir)\include;$(IncludePath)</IncludePath>
    </PropertyGroup>
    <PropertyGroup Condition="'$(MatlabSupport)'=='true'">
        <MatlabDir>C:\Program Files\MATLAB\R2014a</MatlabDir> //matlab所在的路徑
        <LibraryPath>$(MatlabDir)\extern\lib\win64\microsoft;$(LibraryPath)</LibraryPath>
        <IncludePath>$(MatlabDir)\extern\include;$(MatlabDir)\toolbox\distcomp\gpu\extern\include;$(IncludePath)</IncludePath> //自己添加了一個$(MatlabDir)\toolbox\distcomp\gpu\extern\include
    </PropertyGroup>
    <ItemDefinitionGroup Condition="'$(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>

（3）右擊libcaffe,在屬性頁c/c++ 下General裏的Treat Warning As Errors設爲No(/WX-)

（4）生成解決方案。由於設置的libcaffe爲啓動項，且libcaffe的依賴項如下圖所示：

libcaffe並沒有依賴於其它項，所以在D:\caffe_learn\caffe-master\Build\x64\Release目錄下

只看到了libcaffe的相關dll。其它工程如果有需要編譯，可以手動去執行編譯生成。接下來的博客（二）中有許多例子依賴這些工程的生成。

接下來的工作主要爲一下幾項：

（1）用caffe.exe或者命令行模式（python、matlab）去訓練minist、cifar、mydata數據集

（2）預測一張minist、cifar、mydata數據集圖像（用c++（exe形式或者命令行）、python、matlab接口去預測）

參考博客：點擊打開鏈接

點擊打開鏈接

windows下vs2013配置caffe及基本使用

前端使用 Konva 實現可視化設計器（13）- 折線 - 最優路徑應用【思路篇】

深度學習之檢測、分類及分割（一）

傳統算法目標檢測知識點整理（一）

深度學習之檢測、分類及分割（二）

Caffe基礎（一）-win10 vs2015 顯卡compute capability7.5 Python3.5.2環境下編譯配置caffe

windows下vs2013配置caffe及基本使用

Mac下配置sublime實現LaTeX

https://yachay.unat.edu.pe/blog/index.php?comment_area=format_blog&comment_component=blog&comment_co

linux以太網驅動總結