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

#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;
}

  

 


免责声明!

本站转载的文章为个人学习借鉴使用,本站对版权不负任何法律责任。如果侵犯了您的隐私权益,请联系本站邮箱yoyou2525@163.com删除。



 
粤ICP备18138465号  © 2018-2025 CODEPRJ.COM