目录
一、安装opencv3.4.10
1.将opencv3.4.10压缩包放到home下
进行解压缩
unzip opencv-3.4.1.zip
2.安装依赖库cmake
3.安装完cmake之后执行命令 ,创建编译文件夹
4.开始配置
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
5.开始编译
sudo make -j4
执行命令
sudo make install
配置OpenCV编译环境
sudo make install 执行完毕后OpenCV编译过程就结束了,接下来就需要配置一些OpenCV的编译环境首先将OpenCV的库添加到路径,从而可以让系统找到
sudo gedit /etc/ld.so.conf.d/opencv.conf
让路径生效并配置bash
[外链图片转存失败,源站可能有防盗在这里插入!链机制,建描述]议将图片上https://传(imblogC5WGsdnimg.cn/2020105330-640565.png#pic_center3(https://imgblog.csdnimg.cn/20201030153005656.png#pic_center)]
在末尾加
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH
使配置生效并更新
source /etc/bash.bashrc
sudo updatedb
二、图像预处理
创建函数
#include <opencv2/highgui.hpp>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
CvPoint center;
double scale = -3;
IplImage* image = cvLoadImage("lena.jpg");
argc == 2? cvLoadImage(argv[1]) : 0;
cvShowImage("Image", image);
if (!image) return -1; center = cvPoint(image->width / 2, image->height / 2);
for (int i = 0;i<image->height;i++)
for (int j = 0;j<image->width;j++) {
double dx = (double)(j - center.x) / center.x;
double dy = (double)(i - center.y) / center.y;
double weight = exp((dx*dx + dy*dy)*scale);
uchar* ptr = &CV_IMAGE_ELEM(image, uchar, i, j * 3);
ptr[0] = cvRound(ptr[0] * weight);
ptr[1] = cvRound(ptr[1] * weight);
ptr[2] = cvRound(ptr[2] * weight);
}
Mat src;Mat dst;
src = cvarrToMat(image);
cv::imwrite("test.png", src);
cvNamedWindow("test",1); imshow("test", src);
cvWaitKey();
return 0;
}
保存并翻译
g++ test.cpp -o test `pkg-config --cflags --libs opencv`
三、用opencv打开摄像头
配置虚拟机摄像头USB
Win+R打开cmd 输入services.msc确认虚拟机的USB服务处于开启状态
点击右下角的摄像头图标
此时摄像头亮起
简单执行
#include<opencv2/opencv.hpp>
using namespace cv;
int main()
{
//从摄像头读取视频
Videocapture capture(0);
//循环显示每一帧
white (1)
{
Mat frame;//定义一个Mat变量,用于存储每一的图像
Capture>>frame;//读取当前帧
imshow("读取视频帧", frame);//显示当前顿
waitKey(30);//延时30m
}
system("pause");
return 0;
}
打开摄像头采集图像并保存
代码
#include<iostream>
#include <opencv2/opencv.hpp>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
using namespace cv;
using namespace std;
void main()
{
//打开电脑摄像头
VideoCapture cap(0);
if (!cap.isOpened())
{
cout << "error" << endl;
waitKey(0);
return;
}
//获得cap的分辨率
int w = static_cast<int>(cap.get(CV_CAP_PROP_FRAME_WIDTH));
int h = static_cast<int>(cap.get(CV_CAP_PROP_FRAME_HEIGHT));
Size videoSize(w, h);
VideoWriter writer("RecordVideo.avi", CV_FOURCC('M', 'J', 'P', 'G'), 25, videoSize);
Mat frame;
int key;//记录键盘按键
char startOrStop = 1;//0 开始录制视频; 1 结束录制视频
char flag = 0;//正在录制标志 0-不在录制; 1-正在录制
while (1)
{
cap >> frame;
key = waitKey(100);
if (key == 32)//按下空格开始录制、暂停录制 可以来回切换
{
startOrStop = 1 - startOrStop;
if (startOrStop == 0)
{
flag = 1;
}
}
if (key == 27)//按下ESC退出整个程序,保存视频文件到磁盘
{
break;
}
if (startOrStop == 0 && flag==1)
{
writer << frame;
cout << "recording" << endl;
}
else if (startOrStop == 1)
{
flag = 0;
cout << "end recording" << endl;
}
imshow("picture", frame);
}
cap.release();
writer.release();
destroyAllWindows();
}
编译过程获得opencv头文件、链接lib库文件的路径的方法:
如果编译没有指定路径,头文件就会查看gcc的环境变量和查找系统默认的目录:/usr/include;/usr/local/include,链接lib库gcc的环境变量和查找默认路径/lib;/usr/lib;/usr/local/lib。可以之后我们就可以运行: