Shulou(Shulou.com)06/03 Report--

This article mainly introduces how to install visual studio 2012 configuration, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let Xiaobian take you to understand.

First, install vs2012

Download vs2012

1. Double-click the installation file to set the installation path

two。 Select the required installation package

3. Installation in progress

4. The installation is finally complete.

5. Click start

Prompt for product key

YKCW6-BPFPF-BT8C9-7DCTH-QXGWC

Activation succeeded

6. Other configuration pages appear

C++ is chosen as the default development environment here.

7. Start

8. Note that sometimes compatibility problems may occur and you need to download the update package

Just click install.

Second, install opencv

1. Download the opencv source code

Opencv official website address: http://opencv.org/, the network speed is a little slow

Click Download, and select the opencv version you want to download in the new page that pops up. Select 2.4.9 here.

Then, start downloading

Probably 349MB

two。 Decompress the source code

Any decompression path

Decompression password

3. Configure environment variables for opencv

(1) right-click "Properties" on the computer

(2) Advanced system settings

(3) Click the environment variable

(4) add the bin folder path of opencv to the environment variable named PATH, specifically:

① 32-bit system, add: d:\ File Program\ opencv\ build\ x86\ vc11\ bin

② 64-bit system, add:

D:\ File Program\ opencv\ build\ x86\ vc11\ bin (corresponding to 32-bit systems)

D:\ File Program\ opencv\ build\ x64\ vc11\ bin (corresponding to 64-bit systems)

The goal is to switch back and forth between compilers Win32 and X64

Note 1 opencv D:\ File Program\ opencv is the decompression path of opencv.

Note 2:vc11 indicates that the compilation environment is Microsoft Visual Studio 2012.

3. Configure opencv in vs2012

1. Open vs2012

two。 Create a new win32 console application

3. In solution Explorer: source File-> add-> New item

4. Configure at the property Manager

(a configuration in the property manager is equivalent to a general configuration process, and the new project does not have to be reconfigured in the future.)

(1) View-> property Manager

(2) property Manager pops up

(3) configure Debug Win32

Note: what is discussed here is that the configuration of Debug,Release is completely similar.

Right-click "Properties" in Microsoft.Cpp.Win32.user at Debug | Win32

Pop-up Microsoft.Cpp.Win32.user property page

(4) start configuring the Microsoft.Cpp.Win32.user property page

① adds an inclusion directory so that C++ programs can include opencv

Specifically: in the pop-up property page, find the "VC++ directory", and in the corresponding right include directory, enter the build- > include directory of opencv.

As you can see, there are two folders under the opencv- > build- > include directory. You should add this large directory and two folder directories to the include directory.

Add the following three directories to the include directory

D:\ File Program\ opencv\ build\ include

D:\ File Program\ opencv\ build\ include\ opencv

D:\ File Program\ opencv\ build\ include\ opencv2

② add Library Directory

Still to the right of the VC++ directory, add the opencv- > build- > x86-> vc11- > lib path to the library directory

That is: d:\ File Program\ opencv\ build\ x86\ vc11\ lib

Note: whether x64 or x86 is used here depends on the compiler (not the operating system! )

As shown in the following figure, the compiler is Win32, so you should select the library in the x86 directory

In addition:

Vc10 = Visual Studio 2010

Vc11 = Visual Studio 2012

Vc12 = Visual Studio 2013

③ adds a link library (i.e. dll)

Find the additional dependency on the right side of the linker-> input of the Microsoft.Cpp.Win32.user property page

Add the following dll name (version 2.4.9-dynamic link library in opencv corresponding to Debug)

Opencv_ml249d.lib

Opencv_calib3d249d.lib

Opencv_contrib249d.lib

Opencv_core249d.lib

Opencv_features2d249d.lib

Opencv_flann249d.lib

Opencv_gpu249d.lib

Opencv_highgui249d.lib

Opencv_imgproc249d.lib

Opencv_legacy249d.lib

Opencv_objdetect249d.lib

Opencv_ts249d.lib

Opencv_video249d.lib

Opencv_nonfree249d.lib

Opencv_ocl249d.lib

Opencv_photo249d.lib

Opencv_stitching249d.lib

Opencv_superres249d.lib

Opencv_videostab249d.lib

Note: if Release | Win32 is configured, the following 19 release versions without d need to be added

Opencv_objdetect249.lib

Opencv_ts249.lib

Opencv_video249.lib

Opencv_nonfree249.lib

Opencv_ocl249.lib

Opencv_photo249.lib

Opencv_stitching249.lib

Opencv_superres249.lib

Opencv_videostab249.lib

Opencv_calib3d249.lib

Opencv_contrib249.lib

Opencv_core249.lib

Opencv_features2d249.lib

Opencv_flann249.lib

Opencv_gpu249.lib

Opencv_highgui249.lib

Opencv_imgproc249.lib

Opencv_legacy249.lib

Opencv_ml249.lib

In addition, for opencv2.4.8

Debug version

Opencv_ml248d.lib

Opencv_calib3d248d.lib

Opencv_contrib248d.lib

Opencv_core248d.lib

Opencv_features2d248d.lib

Opencv_flann248d.lib

Opencv_gpu248d.lib

Opencv_highgui248d.lib

Opencv_imgproc248d.lib

Opencv_legacy248d.lib

Opencv_objdetect248d.lib

Opencv_ts248d.lib

Opencv_video248d.lib

Opencv_nonfree248d.lib

Opencv_ocl248d.lib

Opencv_photo248d.lib

Opencv_stitching248d.lib

Opencv_superres248d.lib

Opencv_videostab248d.lib

Release version

Opencv_objdetect248.lib

Opencv_ts248.lib

Opencv_video248.lib

Opencv_nonfree248.lib

Opencv_ocl248.lib

Opencv_photo248.lib

Opencv_stitching248.lib

Opencv_superres248.lib

Opencv_videostab248.lib

Opencv_calib3d248.lib

Opencv_contrib248.lib

Opencv_core248.lib

Opencv_features2d248.lib

Opencv_flann248.lib

Opencv_gpu248.lib

Opencv_highgui248.lib

Opencv_imgproc248.lib

Opencv_legacy248.lib

Opencv_ml248.lib

Test whether opencv is configured successfully

Create a new blank win32 console application

Add a cpp to the project and enter the following code in cpp

Note: be sure to make sure that the project path is under the pic image!

Or give the absolute path of the image directly (this can avoid path errors)

# include # include # include using namespace cv; int main () {/ / read a picture (original game painting) Mat img=imread ("pic.jpg"); / / create a window called "original game painting" window cvNamedWindow ("original game painting"); / / display the original game painting imshow ("original game painting", img) in the window; / / wait for 6000 ms and the window automatically closes waitKey (6000);}

(1) compilation

Success, no compilation errors

(2) run the program to display the image successfully

Note 1: if there is no image to be manipulated under the path, the following error occurs

Thank you for reading this article carefully. I hope the article "how to install and configure visual studio 2012" shared by the editor will be helpful to everyone. At the same time, I also hope that you will support us and pay attention to the industry information channel. More related knowledge is waiting for you to learn!

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