1. Qt的ui界面，找著畫就好
2.頭文件直接貼出，之后有時間慢慢解釋吧
#pragma once
#include <QtWidgets/QWidget>
#include "ui_camaraGet.h"
#ifndef CAMARAGET_H
#define CAMARAGET_H
#include <opencv2corecore.hpp>
#include <QWidget>
#include <QImage>
#include <QTimer> // 設置采集數據的間隔時間
#include <QGraphicsScene>
#include <QGraphicsView>
#include <highgui/highgui_c.h> //包含opencv庫頭文件
#include <opencv2imgprocimgproc.hpp>
#include <opencv2corecore.hpp>
#include <opencv2highguihighgui.hpp> //opencv申明
#include <opencv/cv.hpp>
using namespace cv;
namespace Ui {
class camaraGet;
}
class camaraGet : public QWidget
{
Q_OBJECT
public:
explicit camaraGet(QWidget *parent = 0);
~camaraGet();
private slots:
void openCamara(); // 打開攝像頭
void getFrame(); // 讀取當前幀信息
void closeCamara(); // 關閉攝像頭。
void takingPictures(); // 拍照
private:
Ui::camaraGet ui;
QTimer *timer;
QImage *imag;
CvCapture *cam;// 視頻獲取結構， 用來作為視頻獲取函數的一個參數
IplImage *frame;
VideoCapture capture1;
Mat showimage;
QImage Mat2Qimage(Mat cvImg);
// camaraGet(QWidget * parent);
//申請IplImage類型指針，就是申請內存空間來存放每一幀圖像
};
#endif // CAMARAGET_H
3.源文件
#pragma once
#include <QtWidgets/QWidget>
#include "ui_camaraGet.h"
#ifndef CAMARAGET_H
#define CAMARAGET_H
#include <opencv2corecore.hpp>
#include <QWidget>
#include <QImage>
#include <QTimer> // 設置采集數據的間隔時間
#include "camaraGet.h"
#include<stdlib.h>
#include<random>
using namespace cv;
using namespace std;
camaraGet::camaraGet(QWidget *parent):
QWidget(parent)
{
ui.setupUi(this);
connect(ui.pushButton, SIGNAL(clicked()), this, SLOT(openCamara()));
connect(ui.pushButton_2, SIGNAL(clicked()), this, SLOT(takingPictures()));
connect(ui.pushButton_3, SIGNAL(clicked()), this, SLOT(closeCamara()));
setWindowTitle(tr("Main Window"));
timer = new QTimer(this);
imag = new QImage();
connect(timer, SIGNAL(timeout()), this, SLOT(getFrame()));//超時就讀取當前攝像頭信息
}
camaraGet::~camaraGet()
{
}
void camaraGet::openCamara()
{
capture1.open(1); //打開攝像頭，從攝像頭中獲取視頻
timer->start(10);
}
void camaraGet::getFrame() {
capture1 >> showimage;
QImage imag = Mat2Qimage(showimage);
ui.label_2->setScaledContents(true);
ui.label_2->setPixmap(QPixmap::fromImage(imag));
}
void camaraGet::closeCamara()
{
timer->stop();
ui.label->clear();
capture1.release();
}
string strRand(int length) { // length: 產生字符串的長度
char tmp; // tmp: 暫存一個隨機數
string buffer; // buffer: 保存返回值
random_device rd; // 產生一個 std::random_device 對象 rd
default_random_engine random(rd()); // 用 rd 初始化一個隨機數發生器 random
for (int i = 0; i < length; i++) {
tmp = random() % 36;
if (tmp < 10) {
tmp += "0";
}
else {
tmp -= 10;
tmp += "A";
}
buffer += tmp;
}
return buffer;
}
void camaraGet::takingPictures()
{
capture1.open(1);
capture1 >> showimage;
QImage img = Mat2Qimage(showimage);
ui.label->setScaledContents(true);
ui.label->setPixmap(QPixmap::fromImage(img));
string writePath = "../tempPhoto/";
string name;
int i = 0;
name = writePath + strRand(4) + ".jpg";
imwrite(name, showimage);
i++;
}
QImage camaraGet::Mat2Qimage(Mat cvImg)
{
// 8-bits unsigned, NO. OF CHANNELS = 1
if (cvImg.type() == CV_8UC1)
{
QImage image(cvImg.cols, cvImg.rows, QImage::Format_Indexed8);
// Set the color table (used to translate colour indexes to qRgb values)
image.setColorCount(256);
for (int i = 0; i < 256; i++)
{
image.setColor(i, qRgb(i, i, i));
}
// Copy input Mat
uchar *pSrc = cvImg.data;
for (int row = 0; row < cvImg.rows; row++)
{
uchar *pDest = image.scanLine(row);
memcpy(pDest, pSrc, cvImg.cols);
pSrc += cvImg.step;
}
return image;
}
// 8-bits unsigned, NO. OF CHANNELS = 3
else if (cvImg.type() == CV_8UC3)
{
// Copy input Mat
const uchar *pSrc = (const uchar*)cvImg.data;
// Create QImage with same dimensions as input Mat
QImage image(pSrc, cvImg.cols, cvImg.rows, cvImg.step, QImage::Format_RGB888);
return image.rgbSwapped();
}
else if (cvImg.type() == CV_8UC4)
{
// qDebug() << "CV_8UC4";
// Copy input Mat
const uchar *pSrc = (const uchar*)cvImg.data;
// Create QImage with same dimensions as input Mat
QImage image(pSrc, cvImg.cols, cvImg.rows, cvImg.step, QImage::Format_ARGB32);
return image.copy();
}
else
{
// qDebug() << "ERROR: Mat could not be converted to QImage.";
return QImage();
}
}
#include <QGraphicsScene>
#include <QGraphicsView>
#include <highgui/highgui_c.h> //包含opencv庫頭文件
#include <opencv2imgprocimgproc.hpp>
#include <opencv2corecore.hpp>
#include <opencv2highguihighgui.hpp> //opencv申明
#include <opencv/cv.hpp>
using namespace cv;
namespace Ui {
class camaraGet;
}
class camaraGet : public QWidget
{
Q_OBJECT
public:
explicit camaraGet(QWidget *parent = 0);
~camaraGet();
private slots:
void openCamara(); // 打開攝像頭
void getFrame(); // 讀取當前幀信息
void closeCamara(); // 關閉攝像頭。
void takingPictures(); // 拍照
private:
Ui::camaraGet ui;
QTimer *timer;
QImage *imag;
CvCapture *cam;// 視頻獲取結構， 用來作為視頻獲取函數的一個參數
IplImage *frame;
VideoCapture capture1;
Mat showimage;
QImage Mat2Qimage(Mat cvImg);
// camaraGet(QWidget * parent);
//申請IplImage類型指針，就是申請內存空間來存放每一幀圖像
};
#endif // CAMARAGET_H
4.運行效果
完整項目下載：QtWidgetsApplication2.rar
到此這篇關于VS2017+Qt5+Opencv3.4調用攝像頭拍照并存儲的文章就介紹到這了,更多相關Qt5 Opencv3.4拍照并存儲內容請搜索服務器之家以前的文章或繼續瀏覽下面的相關文章希望大家以后多多支持服務器之家！
原文鏈接：https://blog.csdn.net/zuoyou_yi/article/details/117338900
