Linux下QT+OpenCV实现人脸实时检测(摄像头)

一、环境介绍

ubuntu版本: VM虚拟机运行ubuntu18.04 64位

OpenCV版本: 3.4.9

QT版本: 5.12

OpenCV 是 Intel 开源计算机视觉库。它由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。

OpenCV 拥有包括 300 多个 C 函数的跨平台的中、高层 API。它不依赖于其它的外部库 —— 尽管也可以使用某些外部库。OpenCV 对非商业应用和商业应用都是免费（FREE）的。

二、程序思路说明

程序功能: 在子线程里打开摄像头，获取摄像头的数据，通过信号与槽的方式，将摄像头数据传递给主UI界面实时显示，在采用定时器每100ms取一次标签上的数据进行人脸检测处理，将处理的数据再显示到另一个标签上。人脸检测分类器采用OpenCV自带的分类器，程序主要目的是介绍OpenCV配合QT如何进行开发。

三、实现效果

四、核心代码

xxx.pro工程文件：

QT       += core gui
QT       += multimediawidgets
QT       += xml
QT       += multimedia
QT       += network
QT       += widgets
QT       += serialport
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets

CONFIG += c++11

# The following define makes your compiler emit warnings if you use
# any Qt feature that has been marked 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 it uses 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 \
    widget.cpp

HEADERS += \
    widget.h

FORMS += \
    widget.ui

# Default rules for deployment.
qnx: target.path = /tmp/$${TARGET}/bin
else: unix:!android: target.path = /opt/$${TARGET}/bin
!isEmpty(target.path): INSTALLS += target

#linu平台的路径设置
linux {
#添加opencv头文件的路径，需要根据自己的头文件路径进行修改
INCLUDEPATH+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/include\
             /home/wbyq/work_pc/opencv-3.4.9/_install/install/include/opencv\
             /home/wbyq/work_pc/opencv-3.4.9/_install/install/include/opencv2

LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_calib3d.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_core.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_dnn.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_features2d.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_flann.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_highgui.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_imgcodecs.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_imgproc.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_ml.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_objdetect.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_photo.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_shape.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_stitching.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_superres.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_videoio.so
LIBS+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_video.so
}

RESOURCES += \
    image.qrc

widget.cpp文件代码：

#include "widget.h"
#include "ui_widget.h"
class VideoAudioEncode videoaudioencode_0;

Widget::Widget(QWidget *parent)
    : QWidget(parent)
    , ui(new Ui::Widget)
{
    ui->setupUi(this);

    //驾驶室摄像头
    //工作对象
    videoRead_WorkClass_0=new VideoReadThread_0;
    videoRead_Workthread_0=new QThread;
    //连接摄像头采集信号,在主线程实时显示视频画面
    connect(videoRead_WorkClass_0,SIGNAL(VideoDataOutput(QImage )),this,SLOT(VideoDataDisplay_0(QImage )));
    //摄像头初始化函数
    connect(this,SIGNAL(Init_VideoAudio_WorkClass_0()),videoRead_WorkClass_0,SLOT(run()));
    //停止视频采集
    connect(this,SIGNAL(Stop_AudioVideo0_work_0()),videoRead_WorkClass_0,SLOT(stop()));
    //将工作对象移动到子线程里工作
    videoRead_WorkClass_0->moveToThread(videoRead_Workthread_0);
    //更新设备列表
    UpdateVideoAudiodDevice(ui->comboBox_video_0,ui->plainTextEdit_log_0);
    //
    timer.start(100);
    connect(&timer,SIGNAL(timeout()), this, SLOT(update()));
    timer.start(100);
}

Widget::~Widget()
{
    delete ui;
}

//分类器的路径
#define source_xml_addr "/home/wbyq/work_pc/opencv-3.4.9/data/haarcascades_cuda/haarcascade_frontalface_alt2.xml"

//将要检测的图片路径
#define source_pix_addr "/mnt/hgfs/linux-share-dir/1.jpg"

//人脸检测代码
void Widget::opencv_face(QImage qImage)
{
    QTime time;
    time.start();

    static CvMemStorage* storage = 0;
    static CvHaarClassifierCascade* cascade = 0;
    const char*cascade_name =source_xml_addr;
    //加载分类器
    cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );
    if( !cascade )
    {
        Log_Display_0("分类器加载错误.\n");
        return ;
    }

    //创建内存空间
    storage = cvCreateMemStorage(0);

    //加载需要检测的图片
    //const char* filename =source_pix_addr;
    //IplImage* img = cvLoadImage(filename, 1 );
    IplImage* img = QImageToIplImage(&qImage);

    if(img ==nullptr )
    {
        Log_Display_0("图片加载错误.\n");
        return;
    }

    double scale=1.2;
    static CvScalar colors[] = {
        {{0,0,255}},{{0,128,255}},{{0,255,255}},{{0,255,0}},
        {{255,128,0}},{{255,255,0}},{{255,0,0}},{{255,0,255}}
    };//Just some pretty colors to draw with
    IplImage* gray = cvCreateImage(cvSize(img->width,img->height),8,1);
    IplImage* small_img=cvCreateImage(cvSize(cvRound(img->width/scale),cvRound(img->height/scale)),8,1);
    cvCvtColor(img,gray, CV_BGR2GRAY);
    cvResize(gray, small_img, CV_INTER_LINEAR);
    cvEqualizeHist(small_img,small_img); //直方图均衡
    cvClearMemStorage(storage);
    double t = (double)cvGetTickCount();
    CvSeq* objects = cvHaarDetectObjects(small_img,
                                           cascade,
                                           storage,
                                           1.1,
                                           2,
                                           0/*CV_HAAR_DO_CANNY_PRUNING*/,
                                           cvSize(30,30));
       t = (double)cvGetTickCount() - t;
    //遍历找到对象和周围画盒
    for(int i=0;i<(objects->total);++i)
    {
        CvRect* r=(CvRect*)cvGetSeqElem(objects,i);
        cvRectangle(img, cvPoint(r->x*scale,r->y*scale), cvPoint((r->x+r->width)*scale,(r->y+r->height)*scale), colors[i%8]);
    }

    for( int i = 0; i < (objects? objects->total : 0); i++ )
    {
        CvRect* r = (CvRect*)cvGetSeqElem( objects, i );
        CvPoint center;
        int radius;
        center.x = cvRound((r->x + r->width*0.5)*scale);
        center.y = cvRound((r->y + r->height*0.5)*scale);
        radius = cvRound((r->width + r->height)*0.25*scale);
        cvCircle(img, center, radius, colors[i%8], 3, 8, 0 );
    }
    show_face(img);  //显示检测的结果
    cvReleaseImage(&gray);
    cvReleaseImage(&small_img);
    //释放图片
    cvReleaseImage(&img);
    Log_Display_0(tr("耗时:%1 ms\n").arg(time.elapsed()));
}

/*将QImage图片转为opecv的qimage格式*/
IplImage *Widget::QImageToIplImage(const QImage * qImage)
{
    int width = qImage->width();
    int height = qImage->height();
    CvSize Size;
    Size.height = height;
    Size.width = width;
    IplImage *IplImageBuffer = cvCreateImage(Size, IPL_DEPTH_8U, 3);
    for (int y = 0; y < height; ++y)
    {
        for (int x = 0; x < width; ++x)
        {
            QRgb rgb = qImage->pixel(x, y);
            CV_IMAGE_ELEM( IplImageBuffer, uchar, y, x*3+0 ) = qBlue(rgb);
            CV_IMAGE_ELEM( IplImageBuffer, uchar, y, x*3+1 ) = qGreen(rgb);
            CV_IMAGE_ELEM( IplImageBuffer, uchar, y, x*3+2 ) = qRed(rgb);
        }
     }
     return IplImageBuffer;
}

/*将opecv的图片转为qimage格式*/
QImage *Widget::IplImageToQImage(IplImage *img)
{
    QImage *qmg;
    uchar *imgData=(uchar *)img->imageData;
    qmg = new QImage(imgData,img->width,img->height,QImage::Format_RGB888);
    *qmg=qmg->rgbSwapped(); //BGR格式转RGB
    return qmg;
}

//显示检测的结果
void Widget::show_face(IplImage* img)
{
    uchar *imgData=(uchar *)img->imageData;
    QImage  my_image=QImage(imgData,img->width,img->height,QImage::Format_RGB888);
    my_image=my_image.rgbSwapped(); //BGR格式转RGB
    QPixmap my_pix; //创建画图类
    my_pix.convertFromImage(my_image);
    /*在控件上显示*/
    ui->label_display->setPixmap(my_pix);
}

//开始采集
void Widget::on_pushButton_Start_clicked()
{
    //设置当前选择的摄像头
    videoaudioencode_0.camera=video_dev_list.at(ui->comboBox_video_0->currentIndex());
    Stop_VideoAudioEncode_0(true);
    Start_VideoAudioEncode_Thread_0();
}

//析构函数
VideoReadThread_0::~VideoReadThread_0()
{

}

//停止视频采集
void VideoReadThread_0::stop()
{
    qDebug()<<"停止视频采集--stop";
    if(camera)
    {
        camera->stop();
        delete camera;
        camera=nullptr;
    }
    if(m_pProbe)
    {
        delete  m_pProbe;
        m_pProbe=nullptr;
    }
}

//执行线程
void VideoReadThread_0::run()
{
    stop();
    Camear_Init();
    qDebug()<<"摄像头开始采集数据";
}

void VideoReadThread_0::Camear_Init()
{
    /*创建摄像头对象，根据选择的摄像头打开*/
    camera = new QCamera(videoaudioencode_0.camera);
    m_pProbe = new QVideoProbe;
    if(m_pProbe != nullptr)
    {
        m_pProbe->setSource(camera); // Returns true, hopefully.
        connect(m_pProbe, SIGNAL(videoFrameProbed(QVideoFrame)),this, SLOT(slotOnProbeFrame(QVideoFrame)), Qt::QueuedConnection);
    }

    /*配置摄像头捕    QCamera *camera;
    QVideoProbe *m_pProbe;获模式为帧捕获模式*/
    //camera->setCaptureMode(QCamera::CaptureStillImage);  //如果在Linux系统下运行就这样设置
     camera->setCaptureMode(QCamera::CaptureVideo);//如果在android系统下运行就这样设置

    /*启动摄像头*/
    camera->start();

    /*设置摄像头的采集帧率和分辨率*/
    QCameraViewfinderSettings settings;
    settings.setPixelFormat(QVideoFrame::Format_YUYV); //设置像素格式  Android上只支持NV21格式
    settings.setResolution(QSize(VIDEO_WIDTH,VIDEO_HEIGHT)); //设置摄像头的分辨率
    camera->setViewfinderSettings(settings);
}

/**
 * NV21是android相机默认格式
 * @param data
 * @param rgb
 * @param width
 * @param height
 */
void NV21_TO_RGB24(unsigned char *yuyv, unsigned char *rgb, int width, int height)
{
        const int nv_start = width * height ;
        int  index = 0, rgb_index = 0;
        uint8_t y, u, v;
        int r, g, b, nv_index = 0,i, j;

        for(i = 0; i < height; i++){
            for(j = 0; j < width; j ++){
                //nv_index = (rgb_index / 2 - width / 2 * ((i + 1) / 2)) * 2;
                nv_index = i / 2  * width + j - j % 2;

                y = yuyv[rgb_index];
                u = yuyv[nv_start + nv_index ];
                v = yuyv[nv_start + nv_index + 1];

                r = y + (140 * (v-128))/100;  //r
                g = y - (34 * (u-128))/100 - (71 * (v-128))/100; //g
                b = y + (177 * (u-128))/100; //b

                if(r > 255)   r = 255;
                if(g > 255)   g = 255;
                if(b > 255)   b = 255;
                if(r < 0)     r = 0;
                if(g < 0)     g = 0;
                if(b < 0)     b = 0;

                index = rgb_index % width + (height - i - 1) * width;
                //rgb[index * 3+0] = b;
                //rgb[index * 3+1] = g;
                //rgb[index * 3+2] = r;

                //颠倒图像
                //rgb[height * width * 3 - i * width * 3 - 3 * j - 1] = b;
                //rgb[height * width * 3 - i * width * 3 - 3 * j - 2] = g;
                //rgb[height * width * 3 - i * width * 3 - 3 * j - 3] = r;

                //正面图像
                rgb[i * width * 3 + 3 * j + 0] = b;
                rgb[i * width * 3 + 3 * j + 1] = g;
                rgb[i * width * 3 + 3 * j + 2] = r;

                rgb_index++;
            }
        }
}
/*
函数功能: 将YUV数据转为RGB格式
函数参数:
unsigned char *yuv_buffer: YUV源数据
unsigned char *rgb_buffer: 转换之后的RGB数据
int iWidth,int iHeight   : 图像的宽度和高度
*/
void yuyv_to_rgb(unsigned char *yuv_buffer,unsigned char *rgb_buffer,int iWidth,int iHeight)
{
    int x;
    int z=0;
    unsigned char *ptr = rgb_buffer;
    unsigned char *yuyv= yuv_buffer;
    for (x = 0; x < iWidth*iHeight; x++)
    {
        int r, g, b;
        int y, u, v;

        if (!z)
        y = yuyv[0] << 8;
        else
        y = yuyv[2] << 8;
        u = yuyv[1] - 128;
        v = yuyv[3] - 128;

        r = (y + (359 * v)) >> 8;
        g = (y - (88 * u) - (183 * v)) >> 8;
        b = (y + (454 * u)) >> 8;

        *(ptr++) = (r > 255) ? 255 : ((r < 0) ? 0 : r);
        *(ptr++) = (g > 255) ? 255 : ((g < 0) ? 0 : g);
        *(ptr++) = (b > 255) ? 255 : ((b < 0) ? 0 : b);

        if(z++)
        {
            z = 0;
            yuyv += 4;
        }
    }
}

void VideoReadThread_0::slotOnProbeFrame(const QVideoFrame &frame)
{
   QVideoFrame cloneFrame(frame);
   cloneFrame.map(QAbstractVideoBuffer::ReadOnly);
   //qDebug()<<"height:"label_ImageDisplay_0->pixmap())
    opencv_face(ui->label_ImageDisplay_0->pixmap()->toImage());
}
();>(video_dev_list.at(i).devicename());>

widget.h文件代码：

#ifndef WIDGET_H
#define WIDGET_H

#include 
//opencv include
#include 
#include 
#include 

#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
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#include 
#include 

QT_BEGIN_NAMESPACE
namespace Ui { class Widget; }
QT_END_NAMESPACE

class Widget : public QWidget
{
    Q_OBJECT

public:
    Widget(QWidget *parent = nullptr);
    void opencv_face(QImage qImage);
    ~Widget();
    QList video_dev_list;
    void show_face(IplImage* img);
    class VideoReadThread_0 *videoRead_WorkClass_0;  //视频工作类
    QThread *videoRead_Workthread_0; //视频线程
    /*驾驶室摄像头*/
    void Stop_VideoAudioEncode_0(bool flag);//停止线程
    void Start_VideoAudioEncode_Thread_0(); //启动线程
    void Log_Text_Display(QPlainTextEdit *plainTextEdit_log,QString text);
    void UpdateVideoAudiodDevice(QComboBox *comboBox_video, QPlainTextEdit *plainTextEdit_log);
    IplImage *QImageToIplImage(const QImage * qImage);
    QImage *IplImageToQImage(IplImage *img);
    QTimer timer;
signals:
    void Init_VideoAudio_WorkClass_0();
    void Stop_AudioVideo0_work_0();
private slots:
    void update();
    void on_pushButton_Start_clicked();
    void Log_Display_0(QString text);
    void VideoDataDisplay_0(QImage );
    void on_pushButton_update_clicked();

    void on_pushButton_stop_clicked();

private:
    Ui::Widget *ui;
};

class VideoReadThread_0:public QObject
{
    Q_OBJECT
public:
    QCamera *camera;
    QVideoProbe *m_pProbe;
    VideoReadThread_0(QObject* parent=nullptr):QObject(parent){camera=nullptr;m_pProbe=nullptr;}
    ~VideoReadThread_0();
    void Camear_Init(void);
public slots:
    void stop();
    void run();
    void slotOnProbeFrame(const QVideoFrame &frame);
signals:
    void VideoDataOutput(QImage); //输出信号
};
//视频音频编码类
class VideoAudioEncode
{
public:
    QCameraInfo camera; //当前选择的摄像头
};
//视频输出尺寸
#define VIDEO_WIDTH  640
#define VIDEO_HEIGHT 480
extern class VideoAudioEncode videoaudioencode_0;
#endif // WIDGET_H

main.cpp文件代码：

#include "widget.h"

#include 

int main(int argc, char *argv[])
{
    QApplication a(argc, argv);
    Widget w;
    w.show();
    return a.exec();
}

UI界面：