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Using	openCV 2.4.9	
with	Visual	Studio	
Express	2012
David	Hsu
openCV 2.4.9	ft.	Visual	Studio	2012
• openCV 2.4.9
https://sourceforge.net/projects/opencvlibrary/files/opencv-
win/2.4.9/opencv-2.4.9.exe/download
• Visual	Studio	Express	2012
https://www.microsoft.com/en-us/download/details.aspx?id=34673
Other	versions
• This	tutorial	works	under	the	platform	of	windows	10	pro,	with	
openCV 2.4.9 using	Visual	Studio	Express	2012.	
• It	is	also	applicable	to	other	versions	but	with	some	minor	
differences	in	setting.
• OpenCV provides	the	official	built-in	library	for	visual	studio,	
depending	on	the	compiler’s	version.	Please	check	if	there	is	the	
corresponding	built-in	library	in	the	opencv package	you	have.
• vc14	:	built	for	Visual	Studio	2015
vc12	:	built	for	Visual	Studio	2013
vc11	:	built	for	Visual	Studio	2012
vc10	:	built	for	Visual	Studio	2010
• For	example,	for	opencv 2.4.9,	it	supports	Visual	Studio	2010,	2012,	
and	2013.
Extract	opencv under	C	drive
• Extract	opencv under	C:
Set	up	System	Environment	Path
• Choose	Advanced	system	settings	in	System panel
Set	up	System	Environment	Path
• Click	Environment	Variables in	System	Properties
Set	up	System	Environment	Path
• Double	click	Path to	edit
Set	up	System	Environment	Path
• Add	path	:	C:opencvbuildx64vc11bin
1.
2.
Set	up	System	Environment	Path
• Add	path	:	C:opencvbuildx64vc11bin
3.
5.
4.
Reboot	the	computer	after	setting
• It	is	recommended	to	reboot	the	computer	after	setting.
6. 7.
New	Project	in	Visual	Studio	
• New	Project…
New	Project	in	Visual	Studio	
• Name	the	project		(e.g.	cvProject)
Win32	Application	Wizard
• Next
Application	Settings
• Check	“Console	application”	and	“Empty	project”
Set	up	project’s	Properties
•
Set	up	project’s	Properties
•
Configuration	Manager…
•
New	a	Platform
•
Choose	x64	as	a	new	platform
•
x64	platform
•
Choose	All	Configurations
•
Select	C/C++
•
Edit	Additional	Include	Directories
•
Additional	Include	Directories
•
Additional	Include	Directories
• Add	directory	:	C:opencvbuildinclude
Additional	Include	Directories
• Same	steps	to	add	directory	:		C:opencvbuildincludeopencv
C:opencvbuildincludeopencv2
Linker	>	General
•
Additional	Library	Directories
•
Additional	Library	Directories
• Choose	the	suitable	folder	corresponding	to	your	IDE
Additional	Library	Directories
• Add	directory	:	C:opencvbuildx64vc11lib
Change	Configuration	to	Debug
•
Save	the	settings
•
Additional	Dependencies	(Debug)
•
Additional	Dependencies	(Debug)
• Add	the	following	libraries	:
opencv_contrib249d.lib
opencv_videostab249d.lib
opencv_superres249d.lib
opencv_nonfree249d.lib
opencv_gpu249d.lib
opencv_ocl249d.lib
opencv_legacy249d.lib
opencv_ts249d.lib
opencv_calib3d249d.lib
opencv_features2d249d.lib
opencv_objdetect249d.lib
opencv_highgui249d.lib
opencv_video249d.lib
opencv_photo249d.lib
opencv_imgproc249d.lib
opencv_flann249d.lib
opencv_ml249d.lib
opencv_core249d.lib
• Notice:	Name	may	be	different	according	to	the	opencv version	you	have.
e.g.	opencv_core310d.lib	for	opencv 3.1.0	(d means	the	.lib	is	for	debug	mode)
Change	Configuration	to	Release
•
Save	the	settings
•
Additional	Dependencies	(Release)
• Similar	steps	for	Release	mode
Additional	Dependencies	(Release)
• Add	the	following	libraries	:
opencv_stitching249.lib
opencv_contrib249.lib
opencv_videostab249.lib
opencv_superres249.lib
opencv_nonfree249.lib
opencv_gpu249.lib
opencv_ocl249.lib
opencv_legacy249.lib
opencv_ts249.lib
opencv_calib3d249.lib
opencv_features2d249.lib
opencv_objdetect249.lib
opencv_highgui249.lib
opencv_video249.lib
opencv_photo249.lib
opencv_imgproc249.lib
opencv_flann249.lib
opencv_ml249.lib
opencv_core249.lib
• Notice:	Name	may	be	different	according	to	the	opencv version	you	have.
e.g.	opencv_core310.lib	for	opencv 3.1.0
Complete	project’s	settings
•
Add	Resource	Files
• Right	click	“Resource	Files”	to	add	.cpp files
Add	Resource	Files
• Right	click	“Resource	Files”	to	add	.cpp files
Add	Resource	Files
• Add	a	.cpp file
main.cpp
main.cpp
#include	<opencv2/core/core.hpp>
#include	<opencv2/highgui/highgui.hpp>
#include	<iostream>
using	namespace	cv;
using	namespace	std;
int main()
{
Mat	image;
image	=	imread("lena.bmp",	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",	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;
}
Build	and	Run	the	project
• Place	the	image	under	the	same	folder	with	the	.cpp file	or	
use	image’s	direct	directory	to	open	the	image.
Load	and	display	an	image
• Use	this	project	as	a	template	to	develop	opencv projects	in	
the	future.

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