Installing and using OpenCV with Visual Studio 2010 express

Here’s the low-down on installing and getting started with OpenCV on Visual Studio Express 2010 on Windows.

1) Download OpenCV2.2 from Source Forge
Download the OpenCV-2.2.0-win32-vs2010.exe as it already contains the libraries and the binaries required for running OpenCV.
You can untar the file into a directory named /opencv2.2/

2) Download and install Visual Studio 2010 express (free) version and install on your PC.

3) Once Visual Studio 2010  is installed open VC++ and select  “New Project” and choose Win32 Console Application for e.g. first

4) Include the any relevant OpenCV code into first.cpp (snippet given below)

5) Include the following 3 directories under
Browse to the folder containing the files below and select them
Project->first properties->VC++ Directories->Include Directories. Click Edit
.\opencv2.2\include
.\opencv2.2\include\opencv
.\opencv2.2\include\opencv2
Click Apply and OK

6) Now include the library path
Browse to the folder below

Project->first properties->Library Directories
.\opencv2.2\lib
Click Apply and OK

7) Now the last step is to include all the necessary OpenCV libraries during the linking phase
For this go to Project->first properties->Linker->Input->Additional Dependencies and cut and paste all the following libraries by clicking the “Edit”

opencv_calib3d220.lib
opencv_calib3d220d.lib
opencv_contrib220.lib
opencv_contrib220d.lib
opencv_core220.lib
opencv_core220d.lib
opencv_features2d220.lib
opencv_features2d220d.lib
opencv_ffmpeg220.lib
opencv_ffmpeg220d.lib
opencv_flann220.lib
opencv_flann220d.lib
opencv_gpu220.lib
opencv_gpu220d.lib
opencv_highgui220.lib
opencv_highgui220d.lib
opencv_imgproc220.lib
opencv_imgproc220d.lib
opencv_legacy220.lib
opencv_legacy220d.lib
opencv_ml220.lib
opencv_ml220d.lib
opencv_objdetect220.lib
opencv_objdetect220d.lib
opencv_ts220.lib
opencv_video220.lib
opencv_video220d.lib

Click Apply and Ok.

8) Copy the baboon.jpg from the .\opencv2.2\samples\cpp to your projects\first\first folder

9) Now you are good to go. Build by choosing Debug->Build Solution
It should through fine  when  you now run the code
You should see

Here is a sample snippet

#include "stdafx.h"
#include "cv.h"
#include "highgui.h"
int main( int argc, char** argv ) {
// cvLoadImage determines an image type and creates datastructure with appropriate size
    IplImage* img = cvLoadImage("baboon.jpg",1);
// create a window. Window name is determined by a supplied argument
    cvNamedWindow( "test", CV_WINDOW_AUTOSIZE );
    // Apply Gaussian smooth
    //cvSmooth( img, img, CV_GAUSSIAN, 9, 9, 0, 0 );
    cvErode (img, img,NULL,2);
// Display an image inside and window. Window name is determined by a supplied argument
    cvShowImage( "test", img );
    //Save image
        cvSaveImage( "c:\\shanthi\\baboon2.png", img, 0);
// wait indefinitely for keystroke
    cvWaitKey(0);
// release pointer to an object
    cvReleaseImage( &img );
// Destroy a window
    cvDestroyWindow( argv[1] );
}

Checkout my book ‘Deep Learning from first principles Second Edition- In vectorized Python, R and Octave’.  My book is available on Amazon  as paperback ($18.99) and in kindle version($9.99/Rs449).

You may also like my companion book “Practical Machine Learning with R and Python:Third Edition- Machine Learning in stereo” available in Amazon in paperback($12.99) and Kindle($9.99/Rs449) versions.

See also
– Experiments with deblurring using OpenCV
– De-blurring revisited with Wiener filter using OpenCV
–  Dabbling with Wiener filter using OpenCV
– Re-working the Lucy-Richardson Algorithm in OpenCV

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