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Posts Tagged ‘Visual Studio 2012’

Project Template in Visual Studio

Posted by Hemprasad Y. Badgujar on March 5, 2015


 Sample Image - maximum width is 600 pixels


This article describes the step by step process of creating project template in Visual Studio 2012 and VSIX installer that deploys the project template. Each step contains an image snapshot that helps the reader to keep focused.


A number of predefined project and project item templates are installed when you install Visual Studio. You can use one of the many project templates to create the basic project container and a preliminary set of items for your application, class, control, or library. You can also use one of the many project item templates to create, for example, a Windows Forms application or a Web Forms page to customize as you develop your application.

You can create custom project templates and project item templates and have these templates appear in the New Project and Add New Item dialog boxes. The article describes the complete process of creating and deploying the project template.

Using the Code

Here, I have taken a very simple example which contains nearly no code but this can be extended as per your needs.

Create Project Template

First of all, create the piece (project or item) that resembles the thing you want to get created started from the template we are going to create.

Then, export the template (we are going to use the exported template as a shortcut to build our Visual Studio template package):

Visual Studio Project Templates

We are creating a project template here.

Fill all the required details:

A zip file should get created:

Creating Visual Studio Package Project

To use VSIX projects, you need to install the Visual Studio 2012 VSSDK.

Download the Visual Studio 2012 SDK.

You should see new project template “Visual Studio Package” after installing SDK.

Select C# as our project template belongs to C#.

Provide details:

Currently, we don’t need unit test project but they are good to have.

In the solution, double-click the manifest, so designer opens.

Fill all the tabs. The most important is Assert. Here you give path of our project template(

As a verification step, build the solution, you should see a .vsix being generated after its dependency project:

Installing the Extension

Project template is located under “Visual C#” node.

Uninstalling the Project Template


Posted in .Net Platform, C, Computer Languages, Computer Software, Computer Softwares, Computer Vision, CUDA, GPU (CUDA), Installation, OpenMP, PARALLEL | Tagged: , , | Leave a Comment »

Building Static zlib v1.2.7 with MSVC 2012

Posted by Hemprasad Y. Badgujar on January 22, 2015

This post will explain how to obtain and build the zlib C programming library from source, using MS Visual Studio 2012 on Windows 7. The result will be a static release version that you can use in your C/C++ projects for data compression, or as a dependency for other libraries.


The Environment

  1. Decompress anduntar the library with7zip and you’ll end up with a directory path similar to this:


  1. Modify “libs\zlib-1.2.7\contrib\masmx86\bld_ml32.bat,” adding “/safeseh” to the following two lines.

    ml /coff /Zi /c /Flmatch686.lst match686.asm
    ml /coff /Zi /c /Flinffas32.lst inffas32.asm


    ml /safeseh /coff /Zi /c /Flmatch686.lst match686.asm
    ml /safeseh /coff /Zi /c /Flinffas32.lst inffas32.asm
  2. Open the solution file that came with the package, “libs\zlib-1.2.7\contrib\vstudio\vc10\zlibvc.sln,” and upgrade the solution file if necessary to MSVC 2012.
  3. Change to “Release” configuration.
  4. Remove “ZLIB_WINAPI;” from the “zlibstat” project’s property page: “Configuration Properties → C/C++ → Preprocessor → Preprocessor Definitions
  5. Build the solution.
  6. The new static library fileis created in a newsubfolder:


  1. Create a place for the zlib library with “zlib” and “lib”subfolders.
    mkdir "C:\workspace\lib\zlib\zlib-1.2.7\zlib"
    mkdir "C:\workspace\lib\zlib\zlib-1.2.7\lib"
  2. Copy the header files.
    xcopy "C:\Users\%USERNAME%\Downloads\lib\zlib-1.2.7\*.h" "C:\workspace\lib\zlib\zlib-1.2.7\zlib"
  3. Copy the library file.
    xcopy "C:\Users\%USERNAME%\Downloads\lib\zlib-1.2.7\contrib\vstudio\vc10\x86\ZlibStatRelease\zlibstat.lib" "C:\workspace\lib\zlib\zlib-1.2.7\lib\zlibstat.lib"
  4. Add the include and lib paths to the default project property page in MSVC 2012:
    View → Other Windows → Property Manager → Release/Debug → Microsoft.Cpp.Win32.user
    Be sure to save the property sheet so that the changes take effect.


  1. Create a new project, “LibTest” in MSVC 2012.
  2. Explicitly add the zlib library to the project: Project → Properties →Linker → Input → Additional Dependencies = “zlibstat.lib;”
  3. Create a source file in the project and copy the “zpipe.c” example code.

Build the project. It should compile and link successfully.

Potential Issues

These are some of the problems that you might run into while trying to build zlib.

LNK2026: module unsafe for SAFESEH image

Need to include support for safe exception handling. Modify “libs\zlib-1.2.7\contrib\masmx86\bld_ml32.bat,” adding “/safeseh” to the following two lines.

ml /coff /Zi /c /Flmatch686.lst match686.asm
ml /coff /Zi /c /Flinffas32.lst inffas32.asm


ml /safeseh /coff /Zi /c /Flmatch686.lst match686.asm
ml /safeseh /coff /Zi /c /Flinffas32.lst inffas32.asm

LNK2001: unresolved external symbol _inflateInit_

The code is trying to link with the DLL version of the library instead of the static version. Remove “ZLIB_WINAPI;” from the “zlibstat” project’s property page: “Configuration Properties → C/C++ → Preprocessor → Preprocessor Definitions

Posted in C, Computer Languages, Computing Technology, Cryptography, Free Tools | Tagged: , , , | Leave a Comment »

cuSVM for CUDA 6.0 and Matlab x64

Posted by Hemprasad Y. Badgujar on October 13, 2014

cuSVM for CUDA 6.0 and Matlab x64

This page shows how to build cuSVM, GPU accelerated SVM with dense format. Library has been written by AUSTIN CARPENTER. The procedure use CUDA 6.0, MATLAB x64 and Visual Studio 2012. The code and project files were modified in order to compile and link library, many steps were taken from


  1. Addmatlab variables:
    1. cuSVMTrainIter – contains number of iteration the solver does
    2. cuSVMTrainObj –  contains the final objective function value after the trainning
  2. In file lines 869-874 all calls of cudaMemcpyToSymbol was changed, because of changes made in CUDA 6.0 runtime library –
    before the change:
    mxCUDA_SAFE_CALL(cudaMemcpyToSymbol(„taumin”, &h_taumin, sizeof(float) ));
    after the change:
    mxCUDA_SAFE_CALL(cudaMemcpyToSymbol(taumin, &h_taumin, sizeof(float) ));
  3. In functions FindBI, FindBJ, FindStoppingJ – change the way reduction in shared memory was done (
  4. The kernel cache size is constrained to 400MB, if you want bigger cache you can modify line 24
    #define KERNEL_CACHE_SIZE (400*1024*1024)


Build Procedure

Download preconfigure cuSVM Visual Studio 2010 solution with LibSVM and matlab scritp for classification

All steps describe below are done, you have to check if all paths are set correctly and yours GPU computational capability is set properly.

My setup:

  • windows 7 x64
  • visual studio 2012
  • CUDA 6.0
  • Matlab R2014a
  • the code was tested on Quadro 5000 and Geforce GTX 580


Determine paths:

  1. Matlab include path, mine is „D:\Program Files\MATLAB\R2014a\extern\include” (Matlab was installed on drive d:\)
  2. Matlab library path: „D:\Program Files\MATLAB\R2014a\extern\lib\win64\microsoft”
  3. CUDA toolkit include path: „C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.0\include”
  4. GPU compute capability, mine is 1.2 in case of GeForce GT 330M(compute_12,sm_12), and 3.0 in case GeForce GTX 690 (compute_30,sm_30)


Changes made in projects properties (the same steps are for both projects: cuSVMPredict, cuSVMTrain):

  1. Open solution in VS 2010
  2. Right click on project (cuSVMTrain or cuSVMPredict)  and choose „Build Customizations …”, make sure that „CUDA 5.0(.targets, .props)” is checked
  3. Right click oncuSVMTrain and choose project „Properties”
    1. Expand „Configuration Properties”
      1. General->Target Extension: .mexw64
      2. General->Configuration Type: Dynamic Library (.dll)
    2. Expand c/c++-
      1. General->Additional Include Directories: $(SolutionDir)inc\;D:\Program Files\MATLAB\R2014a\extern\include;$(CudaToolkitIncludeDir);%(AdditionalIncludeDirectories)
    3. ExpandCUDA C/C++
      1. Common->Additional Include Directories: $(SolutionDir)inc\;D:\Program Files\MATLAB\R2014a\extern\include;$(CudaToolkitIncludeDir);%(AdditionalIncludeDirectories)
      2. Common->Target Machine Platform: 64-bit (–machine 64)
      3. Device->Code Generation: compute_30,sm_30– this depends on your GPU compute capability
    4. Expand Linker
      1. General->Additional Library Directories: %(AdditionalLibraryDirectories); $(CudaToolkitLibDir); D:\Program Files\MATLAB\R2014a\extern\lib\win64\microsoft
      2. Input->Additional Dependencies: cuda.lib;cublas.lib;libmex.lib;libmat.lib;libmx.lib;cudart.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)
      3. Input->Module Definition File: TrainModule.def (for cuSVMTrain project, for cuSVMPredict set PredictModule.def)
    5. Expand Build Events
      1. Post-Build Event->Command Line:
        echo copy „$(CudaToolkitBinDir)\cudart*.dll” „$(OutDir)”
        copy „$(CudaToolkitBinDir)\cudart*.dll” „$(OutDir)”
        each command in separate line

Eventually you can check if it is „Release” or „Debug” build.


How to use cuSVM

The zip package contains two folders:

  • cuSVM – Visual Studio 2012 solution
  • cuSVMmatlab – contains:
  1. libsvm,
  2. compile cuSVMTrain.mexw64 and cuSVMPredict.mexw64 in Libfolder,
  3. sample datasets in datafolder
  4. matlab script cuSVMTest.m
  1. Build cuSVM in Release or Debug mode – important check your GPU compute capability
  2. Copy cuSVMTrain.mexw64 and cuSVMPredict.mexw64 to Lib folder
  3. Add Libfolder matlab search path.
  4. If you want classify some dataset open  mfile.




Posted in Computing Technology, GPU (CUDA), GPU Accelareted, Image Processing | Tagged: , | Leave a Comment »

Setting Global C++ Include Paths in Visual Studio 2012 (and 2011, and 2010)

Posted by Hemprasad Y. Badgujar on May 14, 2014

Setting Global C++ Include Paths in Visual Studio 2012 (and 2011, and 2010)

Starting with Visual Studio 2010, Microsoft decided to make life hard on C++ developers.  System-wide include path settings used to be accessed through Tools | Options | Projects and Solutions | VC++ Directories.  However, that option is gone:


Instead, the system-wide include paths are now located within the ‘Properties’ interface.  To access it, select View | Property Manager.  No dialog will appear yet. Instead, the Property Manager appears as a tab along with the Solution Explorer:


Note:  The Property Manager won’t contain anything unless a solution is loaded.

Now, expand one of your projects, then expand Debug | Win32 or Release | Win32:


Right click Microsoft.Cpp.Win32.user and select Properties:


This brings up the Microsoft.Cpp.Win32.User Property Pages dialog, which should look familiar enough:


Alternate Access

The properties can be accessed directly as an XML file by editing%LOCALAPPDATA%\Microsoft\MSBuild\v4.0\Microsoft.Cpp.Win32.user.props



Posted in Apps Development, Computer Network & Security, Computer Softwares, Computer Vision, CUDA, Installation, OpenCL, OpenCV | Tagged: , , , , | Leave a Comment »

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