Tuesday, April 6th, 2010, 1170 days ago
OpenCV with VS2008
To create your own OpenCV-based project in Visual Studio do the following:
Linking DLLs:
- To permanantly include necessary dll files, add “C:\Program Files\OpenCV\bin” to PATH by visiting Advanced tab in System of Windows (the locate of directory might be different).
- One can just copy necessary dll files into project directory with source files.
- It might be required to restart Visual C++ when execution of instance failes after successful build.
Customize Global Options:
- Open the Visual C++ .Net Application. In the menu bar, select Tools->Options
- In the listing, choose Projects->VC++ Directories.
- First, select Library files from the “Show Directories for” List Box.
- Click the Insert New icon, and locate the folder where you have installed opencv.
- Consider that it is installed in “C:/Program Files/OpenCV”.
- In the Library files list, locate and add:
“C:\Program Files\OpenCV\lib”
- Now choose Include files in the list box, and locate and add the following directories:
“C:\Program Files\OpenCV\cv\include”
“C:\Program Files\OpenCV\cxcore\include”
“C:\Program Files\OpenCV\otherlibs\highgui”
“C:\Program Files\OpenCV\cvaux\include”
“C:\Program Files\OpenCV\otherlibs\_graphics\include”
- Next, choose source files in the list box, and locate and add the following directories:
“C:\Program Files\OpenCV\cv\src”
“C:\Program Files\OpenCV\cxcore\src”
“C:\Program Files\OpenCV\cvaux\src”
“C:\Program Files\OpenCV\otherlibs\highgui”
“C:\Program Files\OpenCV\otherlibs\_graphics\src”
- Now click OK in the Options dialog.
- You have successfully configured the global settings.
Create New Project:
- Within Developer Studio create new application:
- Select from menu “File”->”New…”->”Projects” tab.
- Choose “Win32 Application” or “Win32 console application” – the latter is the easier variant and both the sample projects have this type.
- Type the project name and choose location
- Click Ok.. In the Application Wizard, Just click Finish.
- After the above steps done Developer Studio will create the project folder (by default it has the same name as the project), <project name>.vcproj file, Solution <project name>.sln and, Three Source files: <project name>.cpp, stdafx.cpp and stdafx.h. StdAfx files are precompiled header files, which can be very useful if you want to reduce the compilation time.
- For example, consider that we have created a new “Hello” Project. Open the Hello.cpp file, and include the OpenCV-related #include directives:
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>
- Note that these should be included after stdafx.h or you may get build errors.
- Now Type some OpenCV code, and Build the Solution by pressing the F7 Key. There should be linker errors.
- Add dependency projects into workspace
- Choose from menu: “Project” -> “Properties”.
- Choose “Linker” tab -> “Input” category -> “Additional Dependencies:”. Add the paths to all necessary import libraries (cxcore[d].lib cv[d].lib highgui[d].lib cvaux[d].lib cvcam[d].lib)
- Note: The debug versions are available only when you Build the Visual C++ .NET solution provided with the OpenCV installation.
- If the build process complains about a missing ‘windows.h’ header file, then you’ll need to install the latest version of the Microsoft Windows SDK.
- . That’s it!.. Now Build and Run the application using F5 key and enjoy OpenCV!
.
Post quoted from: openCV Wiki, all copyrights reserved by original authors.
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thank you Andol, this is very useful.
Thank you bvhoang.
Is there any way to include all the headers, linker dependencies, etc by default? For example, I create a lot of small projects that use openCV. I don’t want to go through all the steps of including headers, dependencies, etc. When I create a new project, I want all these to be included by default. I’m using VS 2010 Ultimate.
Great…!!! It’s really helpful 4 beginners.Thank U very much Mr.Andol.
pleasure this helps
Hello Andol,
When I install OpenCV2.4.2,I followed the following process.
1)Extracted OpenCV files to C:\
2)Configure and build OpenCV with visual studio 2008 using Cmake.
3)Add libraries to Visual Studio.
That is in this video: http://www.youtube.com/watch?v=kZvjTTK9zTw
>>Is this process correct(video and mentioned steps) ?
>>Are there any other methods to install and configure OpenCV with VS2008 on windows with out using Cmake ?
>>If there,what is that?
I must be thankful 2 u if u reply.
Thank U.
@bestelec
an alternative to install latest version of openCV in windows is to use pre-compiled version – this version can be installed as normal applications and its codes are all compiled already.
@Mr.Andol,
Sorry I cant understand what u say.From where can I get pre complied version of OpenCV. Then don’t I need to configure it with Cmake?
yes, there is a version of openCV release that can be installed directly in windows without incurring source code compilation.
google it, sorry I cannot remember if the latest version still has one of this.
Thanks…
Hello Andol,
Actually I’m new to all OpenCV stuff.Even I can’t run this simple sample program.When I debug this it shows this
message:-The program ‘[384] OpenCV_Hello-World.exe: Native’ has exited with code -1 (0xffffffff).
This is sample program:-
#include
#include
#include
#include
using namespace cv;
using namespace std;
int main( int argc, char** argv )
{
if( argc != 2)
{
cout <<" Usage: display_image ImageToLoadAndDisplay" << endl;
return -1;
}
Mat image;
image = imread(argv[1], CV_LOAD_IMAGE_COLOR); // Read the file
if(! image.data ) // Check for invalid input
{
cout << "Could not open or find the image" << std::endl ;
return -1;
}
namedWindow( "Display window", CV_WINDOW_AUTOSIZE );// Create a window for display.
imshow( "Display window", image ); // Show our image inside it. waitKey(0); // Wait for a keystroke in the window
return 0;
}
Please tell me which lines should I change to show the image.
Please Reply,
Thank U.
@bestelec
the code you made should be run in command lines – as the code needs to read the target image path from the command in argv[1].
this can be simplified as below:
===
#include your headers here
using namespace std;
using namespace cv;
Mat img = imread(“c:/lena.jpg”,0);
namedWindow(“show”, 0);
imshow(“show”, img);
return 0;
===
Yep..I Got It
Many thanks…!!!