qt+opencv读QR码demo
#ifndef OPENCVREADCODE_H
#define OPENCVREADCODE_H
#include <QObject>
#include <opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2\imgproc\types_c.h>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv.hpp>
#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <opencv2/imgproc/imgproc_c.h>
#include "opencv2/opencv.hpp"
#include "QImage"
using namespace std;
using namespace cv;
class OpencvReadCode : public QObject
{
Q_OBJECT
public:
explicit OpencvReadCode(QObject *parent = nullptr);
void ReadQRCode();
void SetImage(QImage image_);
QImage GetResultImage();
void ReadQRCodeTest();///读码测试
signals:
public:
/**
@brief 条码的结果
*/
QString _code_str;
/**
@brief 原图
*/
cv::Mat _source_image;
/**
@brief 结果图片
*/
cv::Mat _target_image;
};
#endif // OPENCVREADCODE_H
#include "opencvreadcode.h"
OpencvReadCode::OpencvReadCode(QObject *parent) : QObject(parent)
{
}
void OpencvReadCode::ReadQRCode()
{
if(_source_image.rows>0&&_source_image.cols>0)
{
_code_str=QString::fromStdString("");
cv::QRCodeDetector qr_code;
std::vector<cv::Point> list;
cv::Mat point_code_,rectifiedImage_;
_target_image=_source_image.clone();
std::string code_data_ = qr_code.detectAndDecode(_target_image,
point_code_,
rectifiedImage_);
///判断条码结果
if(code_data_.length()>0)
{
int n = point_code_.cols;
for(int i = 0 ; i < n ; i++)
{
// 下面有点小问题，自己画线
Point2i one_point_(point_code_.at<float>(i,0),
point_code_.at<float>(i,1));
Point2i two_point_(point_code_.at<float>(((i+1)%n),0),
point_code_.at<float>((i+1) % n,1));
line(_target_image,
one_point_,
two_point_,
Scalar(255,0,0), 3);
}
//rectifiedImage_.convertTo(rectifiedImage_, CV_8UC3);
//imshow("Rectified QRCode", rectifiedImage_);
//waitKey(0);
_code_str=QString::fromStdString(code_data_);
}
}
}
void OpencvReadCode::SetImage(QImage image_)
{
Mat mat = Mat::zeros(image_.height(), image_.width(),image_.format()); //初始化Mat
switch(image_.format()) //判断image的类型
{
case QImage::QImage::Format_Grayscale8: //灰度图
mat = Mat(image_.height(), image_.width(),
CV_8UC1,(void*)image_.constBits(),image_.bytesPerLine());
break;
case QImage::Format_RGB888: //3通道彩色
mat = Mat(image_.height(), image_.width(),
CV_8UC3,(void*)image_.constBits(),image_.bytesPerLine());
break;
case QImage::Format_ARGB32: //4通道彩色
mat = Mat(image_.height(), image_.width(),
CV_8UC4,(void*)image_.constBits(),image_.bytesPerLine());
break;
case QImage::Format_Indexed8:
mat = cv::Mat(image_.height(), image_.width(),
CV_8UC1, (void*)image_.bits(), image_.bytesPerLine());
break;
default:
;
}
_source_image=mat.clone();
// cv::namedWindow("sourceImage",1);
// cv::imshow("sourceImage",_source_image);
}
QImage OpencvReadCode::GetResultImage()
{
if(_code_str.length()>0)
{
//判断m的类型，可能是CV_8UC1 CV_8UC2 CV_8UC3 CV_8UC4
switch(_target_image.type())
{
//QIamge 构造函数, ((const uchar *data, 宽(列),高(行), 一行共多少个（字节）通道，宽度*字节数，宏参数)
case CV_8UC1:
{
QImage img((uchar *)_target_image.data,_target_image.cols,_target_image.rows,_target_image.cols * 1,QImage::Format_Grayscale8);
return img;
}
break;
case CV_8UC3: //一个像素点由三个字节组成
{
//cvtColor(m,m,COLOR_BGR2RGB); BGR转RGB
QImage img((uchar *)_target_image.data,_target_image.cols,_target_image.rows,_target_image.cols * 3,QImage::Format_RGB888);
return img.rgbSwapped(); //opencv是BGR Qt默认是RGB 所以RGB顺序转换
}
break;
case CV_8UC4:
{
QImage img((uchar *)_target_image.data,_target_image.cols,_target_image.rows,_target_image.cols * 4,QImage::Format_RGBA8888);
return img;
}
break;
default:
{
QImage img; //如果遇到一个图片均不属于这三种，返回一个空的图片
return img;
}
}
}
else
{
QImage img; //如果遇到一个图片均不属于这三种，返回一个空的图片
return img;
}
}
void OpencvReadCode::ReadQRCodeTest()
{
QImage image_;//当前的图片
image_.load("C:\\Users\\Administrator\\Desktop\\tupian\\gray.bmp");
Mat inputImage;
//inputImage = imread("C:\\Users\\Administrator\\Desktop\\tupian\\1.bmp");
switch(image_.format()) //判断image的类型
{
case QImage::QImage::Format_Grayscale8: //灰度图
inputImage = Mat(image_.height(), image_.width(),
CV_8UC1,(void*)image_.constBits(),image_.bytesPerLine());
break;
case QImage::Format_RGB888: //3通道彩色
inputImage = Mat(image_.height(), image_.width(),
CV_8UC3,(void*)image_.constBits(),image_.bytesPerLine());
break;
case QImage::Format_ARGB32: //4通道彩色
inputImage = Mat(image_.height(), image_.width(),
CV_8UC4,(void*)image_.constBits(),image_.bytesPerLine());
break;
case QImage::Format_Indexed8:
inputImage = cv::Mat(image_.height(), image_.width(),
CV_8UC1, (void*)image_.bits(), image_.bytesPerLine());
break;
default:
;
}
if(inputImage.rows>0&&inputImage.cols>0)
{
QRCodeDetector qrDecoder;
//namedWindow("Result",0);
//imshow("Result", inputImage);
Mat bbox, rectifiedImage;
std::string data = qrDecoder.detectAndDecode(inputImage, bbox, rectifiedImage);
if(data.length()>0)
{
int n = bbox.rows;
for(int i = 0 ; i < n ; i++)
{
line(inputImage, Point2i(bbox.at<float>(i,0),bbox.at<float>(i,1)), Point2i(bbox.at<float>((i+1) % n,0), bbox.at<float>((i+1) % n,1)), Scalar(255,0,0), 3);
}
imshow("Result", inputImage);
rectifiedImage.convertTo(rectifiedImage, CV_8UC3);
imshow("Rectified QRCode", rectifiedImage);
waitKey(0);
}
}
}