OPENCV 2.4.10 +vs2010 project configuration record

Because the work needs, a little research on OPENCV image processing, the main purpose is to sharpen the image, Gaussian blur and other processing;

Record your own installation of VS2010 and OPENCV configuration process, easy to view the use of the development environment to build:

1. Download the installation OpenCV, go to the official website http://opencv.org/can download the latest version of OpenCV, here is OpenCV 2.4.10

Installation of the Fool-style, the latest version of the installation is equivalent to extract to the installation directory you specified

2. Configure environment variables, my computer?? Property?? Senior?? Environment variables

Edit Ptah:

For 32-bit systems, add:

"; XX Your installation directory Xx\opencv\build\x86\vc10\bin "(with"; ") to separate)

For 64-bit systems, you can add both:

”; XX Your installation directory Xx\opencv\build\x86\vc10\bin "

and "; XX Your installation directory Xx\opencv\build\x64\vc10\bin "

3. Configuration in the VS2010

A. Project include directory configuration

Menu bar Pastry < View >--< Property Manager, in the new Property Manager workspace, click Project->debug| Win32->microsoft.cpp.win32.userdirectories (Right-click Property, or Double-tap) to open the Properties page.

"Common Properties", "VC + + Directory", "Include Directories" added

Xx\opencv\build\include

Xx\opencv\build\include\opencv

Xx\opencv\build\include\opencv2 these three directories.

Note that changes are based on their own paths;

B. Engineering Library catalog configuration

Property Manager workspace, click Project->debug| Win32->microsoft.cpp.win32.userdirectories (anti-key attribute, or double-click) to open the Properties page.

Next step, in the "Common Properties", "VC + + Directory", "Library directory", add

Xx\opencv\build\x86\vc10\lib

C. link library Configuration

Property Manager workspace, click Project->debug| You can open the Properties page by Win32->microsoft.cpp.win32.userdirectories (the inverse key attribute, or double-click). Additional dependencies, input, common properties, linker, add the following content:

Opencv_calib3d2410.lib
Opencv_calib3d2410d.lib
opencv_contrib2410.lib
Opencv_contrib2410d.lib
Opencv_core2410.lib
Opencv_core2410d.lib
opencv_features2d2410.lib
Opencv_features2d2410d.lib
Opencv_flann2410.lib
Opencv_flann2410d.lib
opencv_gpu2410.lib
Opencv_gpu2410d.lib
Opencv_ Highgui2410.lib
Opencv_highgui2410d.lib
opencv_imgproc2410.lib
Opencv_imgproc2410d.lib
Opencv_ Legacy2410.lib
Opencv_legacy2410d.lib
opencv_ml2410.lib
Opencv_ml2410d.lib
Opencv_nonfree2410.lib
Opencv_nonfree2410d.lib
Opencv_objdetect2410.lib
opencv_objdetect2410d.lib
Opencv_ocl2410.lib
Opencv_ocl2410d.lib
Opencv_photo2410.lib
opencv_photo2410d.lib
Opencv_stitching2410.lib
Opencv_ Stitching2410d.lib
Opencv_superres2410.lib
opencv_superres2410d.lib
Opencv_ts2410.lib
Opencv_ Ts2410d.lib
Opencv_video2410.lib
opencv_video2410d.lib
Opencv_videostab2410.lib
Opencv_ Videostab2410d.lib

4. OK, you're done, you can use OPENCV to do what you want to do!

A simple test code

#include <iostream>  #include <opencv2/core/core.hpp>  #include <opencv2/highgui/highgui.hpp >  using namespace CV;    int main ()  {      Mat img=imread ("pic.jpg");//read into a picture    Namedwindow ("Test");      Create a imshow named Test window    ("Test", IMG);   The window shows the image    Waitkey (;            Wait for 5000ms window to close automatically}  

OPENCV 2.4.10 +vs2010 project configuration record