【opencv】win7 64位系统 opencv1.0与vc6.0配置|opencv2.4.9与vs2012配置

opencv1.0（支持vc6.0）与vc6.0配置

假设安装到E盘下

1、添加环境变量 path下 E:\opencv1.0\bin

2、打开vc6.0进行配置，选择tools->options->Directories，选择include files在下方填入路径

E:\opencv1.0\cxcore\include

E:\opencv1.0\cv\include

E:\opencv1.0\cvaux\include

E:\opencv1.0\ml\include

E:\opencv1.0\otherlibs\highgui

E:\opencv1.0\otherlibs\cvcam\include

选择library files 在下方填入路径

E:\opencv1.0\lib

选择source files 在下方填入路径

E:\opencv1.0\cxcore\src

E:\opencv1.0\cv\src

E:\opencv1.0\cvaux\src

E:\opencv1.0\otherlibs\highgui

E:\opencv1.0\otherlibs\cvcam\src\windows

3、建立一个工程，手动添加lib 选择 project->settings->link

在object/library modules:

cxcore.lib cv.lib ml.lib cvaux.lib highgui.lib cvcam.lib 

完成配置

opencv2.4.9（支持vc10 vc11 vc12）与vs2012配置

假设安装到E盘下

1、添加环境变量 path下 E:\opencv\build\x64\vc11\bin  （64位系统选择x64位，32位系统选择x86，vc11为vs2012，vc10为vs2010，vc12为vc2013）

2、项目上右键->属性->vc++目录

可执行文件目录（path目录）添加：

E:\opencv\build\x64\vc11\bin;

包含目录添加：

E:\opencv\build\include\opencv2;

E:\opencv\build\include\opencv;

E:\opencv\build\include;

库目录添加：

E:\opencv\build\x64\vc11\lib;

3、项目上右键->属性->链接器->输入  附加依赖项添加：

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_ml249d.lib

opencv_nonfree249d.lib

opencv_objdetect249d.lib

opencv_ocl249d.lib

opencv_photo249d.lib

opencv_stitching249d.lib

opencv_superres249d.lib

opencv_ts249d.lib

opencv_video249d.lib

opencv_videostab249d.lib

后面带d的为Debug  没有d的为release

4、64位配置

项目上右键->属性->链接器->高级  目标计算机选择

MachineX64

项目上右键->属性->配置管理器->平台 选择

x64

 

opencv3.0新特性

Text detection and recognition by Lluis Gomez
HDR by Fedor Morozov and Alexander Shishkov
KAZE/A-KAZE by Eugene Khvedchenya, the algorithm author Pablo Alcantarilla and some improvements by F. Morozov.
Smart segmentation and edge-aware filters by Vitaly Lyudvichenko, Yuri Gitman, Alexander Shishkov and Alexander Mordvintsev
Car detection using Waldboost, ACF by Vlad Shakhuro and Nikita Manovich
TLD tracker and several common-use optimization algorithms by Alex Leontiev
Matlab bindings by Hilton Bristow, with support from Mathworks.
Greatly extended Python bindings, including Python 3 support, and several OpenCV+Python tutorials by Alexander Mordvintsev, Abid Rahman and others.
3D Visualization using VTK by Ozan Tonkal and Anatoly Baksheev.
RGBD module by Vincent Rabaud
Line Segment Detector by Daniel Angelov
Many useful Computational Photography algorithms by Siddharth Kherada
Shape descriptors, matching and morphing shapes (shape module) by Juan Manuel Perez Rua and Ilya Lysenkov
Long-term tracking + saliency-based improvements (tracking module) by Antonella Cascitelli and Francesco Puja
Another good pose estimation algorithm and the tutorial on pose estimation by Edgar Riba and Alexander Shishkov
Line descriptors and matchers by Biagio Montesano and Manuele Tambourin
Myriads of improvements in various parts of the library by Steven Puttemans; thank you a lot, Steven!
Several NEON optimizations by Adrian Stratulat, Cody Rigney, Alexander Petrikov, Yury Gorbachev and others.
Fast foreach loop over cv::Mat by Kazuki Matsuda
Image alignment (ECC algorithm) by Georgios Evangelidis
GDAL image support by Marvin Smith
RGBD module by Vincent Rabaud
Fisheye camera model by Ilya Krylov
OSX framework build script by Eugene Khvedchenya
Multiple FLANN improvements by Pierre-Emmanuel Viel
Improved WinRT support by Gregory Morse
Latent SVM Cascade by Evgeniy Kozhinov and NNSU team (awaiting integration)
Logistic regression by Rahul Kavi
Five-point pose estimation algorithm by Bo Li