Qt功能优化:Qt人脸识别
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Qt功能优化:Qt人脸识别
@TOC
一、效果图
如图1所示,为我用Qt所做的一个简易的人脸识别代码,点击识别即可自动识别出照片中的人脸。
二、使用步骤
项目架构:
1. .pro部分
#-------------------------------------------------
#
# Project created by QtCreator 2021-08-01T20:37:50
#
#-------------------------------------------------
QT += core gui
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets
TARGET = OpencvFace
TEMPLATE = app
# The following define makes your compiler emit warnings if you use
# any feature of Qt which has been marked as deprecated (the exact warnings
# depend on your compiler). Please consult the documentation of the
# deprecated API in order to know how to port your code away from it.
DEFINES += QT_DEPRECATED_WARNINGS
# You can also make your code fail to compile if you use deprecated APIs.
# In order to do so, uncomment the following line.
# You can also select to disable deprecated APIs only up to a certain version of Qt.
#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000 # disables all the APIs deprecated before Qt 6.0.0
SOURCES += \\
main.cpp \\
mainwindow.cpp
HEADERS += \\
mainwindow.h
FORMS += \\
mainwindow.ui
INCLUDEPATH += D:\\TYUT\\C-yunding\\ProgramApp\\C++\\Qt\\OpenCV_3.4.3-Build\\install\\include
LIBS += D:\\TYUT\\C-yunding\\ProgramApp\\C++\\Qt\\OpenCV_3.4.3-Build\\install\\x86\\mingw\\bin\\libopencv_*.dll
2. .h部分
#include <QMainWindow>
#include "opencv2/opencv.hpp"
#include <vector>
using namespace cv;
using namespace std;
namespace Ui
class MainWindow;
class MainWindow : public QMainWindow
Q_OBJECT
public:
explicit MainWindow(QWidget *parent = 0);
~MainWindow();
void initMainWindow();
void imgProc();
void imgShow();
private slots:
void on_detectPushButton_clicked();
private:
Ui::MainWindow *ui;
Mat myImg;
QImage myQImg;
;
#endif // MAINWINDOW_H
## 3. .cpp部分
> 代码如下:
```c
#include "mainwindow.h"
#include "ui_mainwindow.h"
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
ui->setupUi(this);
initMainWindow();
MainWindow::~MainWindow()
delete ui;
void MainWindow::initMainWindow()
QString imgPath = "ly.jpg";//你要识别的图片,所在位置需与pro文件在同级目录
Mat imgData = imread(imgPath.toLatin1().data());
cvtColor(imgData,imgData,COLOR_BGR2RGB);
myImg = imgData;
myQImg = QImage((const unsigned char*)(imgData.data),imgData.cols,imgData.rows,QImage::Format_RGB888);
imgShow();
void MainWindow::imgShow()
ui->viewLabel->setPixmap(QPixmap::fromImage(myQImg.scaled(ui->viewLabel->size(),Qt::KeepAspectRatio)));
void MainWindow::imgProc()
CascadeClassifier face_detector;
CascadeClassifier eyes_detector;
string fDetectorPath = "haarcascade_frontalface_alt.xml";
face_detector.load(fDetectorPath);
string eDetectorPath = "haarcascade_eye_tree_eyeglasses.xml";
eyes_detector.load(eDetectorPath);
vector<Rect> faces;
Mat imgSrc = myImg;
Mat imgGray;
cvtColor(imgSrc,imgGray,CV_RGB2GRAY);
equalizeHist(imgGray,imgGray);
face_detector.detectMultiScale(imgGray,faces,1.1,2,0 | CV_HAAR_SCALE_IMAGE,Size(30,30));
for(int i=0; i<faces.size(); i++)
Point center(faces[i].x + faces[i].width * 0.5,faces[i].y + faces[i].height * 0.5);
ellipse(imgSrc,center,Size(faces[i].width * 0.5,faces[i].height * 0.5),0,0,360,Scalar(255,0,255),4,8,0);
Mat faceROI = imgGray(faces[i]);
vector<Rect> eyes;
eyes_detector.detectMultiScale(faceROI,eyes,1.1,2,0 | CV_HAAR_SCALE_IMAGE,Size(30,30));
for(int j=0; j<eyes.size(); j++)
Point center(faces[i].x + eyes[j].x + eyes[j].width * 0.5,faces[i].y + eyes[j].y + eyes[j].height * 0.5);
int radius = cvRound((eyes[j].width + eyes[i].height) * 0.25);
circle(imgSrc,center,radius,Scalar(255,0,0),4,8,0);
Mat imgDst = imgSrc;
myQImg = QImage((const unsigned char*)(imgDst.data),imgDst.cols,imgDst.rows,QImage::Format_RGB888);
imgShow();
void MainWindow::on_detectPushButton_clicked()
imgProc();
4. .ui部分:
---
# 总结
以上是部分Qt关于功能优化的部分,希望通过这些文章能够使大家的Qt软件更加美观和完美 !!!
希望能帮助到大家,感谢大家支持~( ̄▽ ̄~)~
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