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_toolOpencv2413opencvuildx64vc12in

用户变量：添加opencv变量，值： F:2biancheng_toolOpencv2413opencvuild

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_toolOpencv2413opencvuildx64vc12in

F:2biancheng_toolOpencv2413opencvuildinclude

F:2biancheng_toolOpencv2413opencvuildincludeopencv

F:2biancheng_toolOpencv2413opencvuildincludeopencv2

F:2biancheng_toolOpencv2413opencvuildx64vc12lib

可选配置 VS SDK(如果报错缺少kernel32.lib)

C:Program Files (x86)Microsoft SDKsWindowsv7.1ALibx64

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 Filesopencvuildx86vc12lib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

#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

#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

#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

#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;
}