OpenCV 学习笔记（1）WIN10+ VS2013 配置Opencv2413 64位

VS2013 配置Opencv2413  64位

系统变量 Path：  F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\bin

用户变量：添加opencv变量，值： F:\2biancheng_tool\Opencv2413\opencv\build

 

工程目录的配置（Debug）

 

找到属性管理器，如果找不到，请安装下图方法找到。双击Debug |X64打开如下窗口，

 

 

设置如下：（下图红框项为设置项）

0 可执行目录

F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\bin

 

1、包含目录：（VC++目录）

 

F:\2biancheng_tool\Opencv2413\opencv\build\include

F:\2biancheng_tool\Opencv2413\opencv\build\include\opencv

F:\2biancheng_tool\Opencv2413\opencv\build\include\opencv2

 

2、库目录：（VC++目录）

F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\lib

可选配置 VS SDK(如果报错缺少kernel32.lib)

C:\Program Files (x86)\Microsoft SDKs\Windows\v7.1A\Lib\x64

 额外声明：如果添加了还是提示缺少文件，那可能是VS没安装好导致环境windos sdk 环境配置出现问题，重新用微软官网资源安装一遍，不要随便乱用VS2013安装源。

 

3、连接器->输入->附加依赖项：

 

opencv_ml2413d.lib
opencv_calib3d2413d.lib
opencv_contrib2413d.lib
opencv_core2413d.lib
opencv_features2d2413d.lib
opencv_flann2413d.lib
opencv_gpu2413d.lib
opencv_highgui2413d.lib
opencv_imgproc2413d.lib
opencv_legacy2413d.lib
opencv_objdetect2413d.lib
opencv_ts2413d.lib
opencv_video2413d.lib
opencv_nonfree2413d.lib
opencv_ocl2413d.lib
opencv_photo2413d.lib
opencv_stitching2413d.lib
opencv_superres2413d.lib
opencv_videostab2413d.lib

 

其实以上都是D:\Program Files\opencv\build\x86\vc12\lib下所有的lib文件，你会发现，有的后面带上d，有的没有d，这是因为Debug的就有d，Release则没有d。

 

工程目录的配置（Release）

 

其他与Debug一样，只是连接器->输入->附加依赖项不一样，设置如下：

 

opencv_objdetect2413.lib
opencv_ts2413.lib
opencv_video2413.lib
opencv_nonfree2413.lib
opencv_ocl2413.lib
opencv_photo2413.lib
opencv_stitching2413.lib
opencv_superres2413.lib
opencv_videostab2413.lib
opencv_calib3d2413.lib
opencv_contrib2413.lib
opencv_core2413.lib
opencv_features2d2413.lib
opencv_flann2413.lib
opencv_gpu2413.lib
opencv_highgui2413.lib
opencv_imgproc2413.lib
opencv_legacy2413.lib
opencv_ml2413.lib

 

测试代码一 读取图片

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#include <iostream> #include<core/core.hpp> #include<highgui/highgui.hpp>   using namespace cv; using namespace std;   int main() {     //读入图片，注意图片路径     //Mat image = imread("D:\\Picture\\lena.jpg");     Mat image = imread("timg.jpg");             //图片读入成功与否判定     if (!image.data)     {         cout << "you idiot！where did you hide lena！" << endl;           //等待按键         system("pause");         return -1;     }       //创建一个名字为“Lena”的图像显示窗口，（不提前声明也可以）     namedWindow("Lena", 1);       //显示图像     imshow("Lena", image);       //等待按键     waitKey();     return 0; }

　　

 

 测试二 读取视频

 

 

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#include <iostream> #include <opencv2/opencv.hpp> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> using namespace cv;   int main() {     VideoCapture capture("C:\\Desktop\\1.avi");//读入视频文件       while (1)//循环显示每一帧     {         Mat frame;         capture >> frame;         namedWindow("未处理视频");         imshow("未处理视频", frame);         waitKey(30);           Mat edges;         cvtColor(frame, edges, CV_BGR2GRAY);//边缘化处理视频         blur(edges, edges, Size(7, 7));         Canny(edges, edges, 0, 30, 3);         namedWindow("处理后视频");         imshow("处理后视频", edges);         waitKey(30);     }     return 0; }

　　

测试三 1 读取实时视频

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#include <iostream> #include <opencv2/opencv.hpp> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> using namespace cv;   int main() {       VideoCapture capture(0);//从摄像头读入图像     Mat edges;     while (1)     {         Mat frame;         capture >> frame;         namedWindow("未处理图像");         imshow("未处理图像", frame);                   if (waitKey(30) >= 0)             break;     }     return 0; }

测试三 2 读取实时视频  边缘检测

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#include <iostream> #include <opencv2/opencv.hpp> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> using namespace cv;   int main() {       VideoCapture capture(0);//从摄像头读入图像     Mat edges;     while (1)     {         Mat frame;         capture >> frame;         namedWindow("未处理图像");         imshow("未处理图像", frame);           cvtColor(frame, edges, CV_BGR2GRAY);//将摄像头读入的图像转换成灰度图像输出         blur(edges, edges, Size(7, 7));         Canny(edges, edges, 0, 30, 3);         imshow("处理后图像", edges);         if (waitKey(30) >= 0)             break;     }     return 0; }