Linux下QT配合OpenCV完成图像处理(实现人脸检测)
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 是一个基于 bsd 许可（开源）发行的跨平台计算机视觉和机器学习软件库，可以运行在 linux、windows、android 和 mac os 操作系统上。
opencv 的全称是 open source computer vision library，是一个跨平台的计算机视觉库。opencv 是由英特尔公司发起并参与开发，以 bsd 许可证授权发行，可以在商业和研究领域中免费使用。opencv 可用于开发实时的图像处理、计算机视觉以及模式识别程序。
opencv 用 c++语言编写，它具有 c ++，python，java 和 matlab 接口，并支持 windows，linux，android 和 mac os，opencv 主要倾向于实时视觉应用，并在可用时利用 mmx 和 sse 指令， 如今也提供对于 c#、ch、ruby，go 的支持。
二、建立qt工程加入opencv依赖库 下面编写例子很简单，使用opencv自带的分类器，检测一张图中的人脸，并圈出来。
opencv源码自带的人脸检测分类器目录：opencv-3.4.9/data/haarcascades_cuda/haarcascade_frontalface_alt2.xml
xxx.pro工程文件代码：
qt += core guigreaterthan(qt_major_version, 4): qt += widgetsconfig += 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 6.0.0sources += \ main.cpp \ widget.cppheaders += \ widget.hforms += \ widget.ui# default rules for deployment.qnx: target.path = /tmp/$${target}/binelse: unix:!android: target.path = /opt/$${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/opencv2libs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_calib3d.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_core.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_dnn.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_features2d.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_flann.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_highgui.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_imgcodecs.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_imgproc.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_ml.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_objdetect.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_photo.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_shape.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_stitching.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_superres.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_videoio.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_video.so} widget.cpp文件代码：
#include widget.h#include ui_widget.hwidget::widget(qwidget *parent) : qwidget(parent) , ui(new ui::widget){ ui->setupui(this); opencv_face();}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(){ static cvmemstorage* storage = 0; static cvhaarclassifiercascade* cascade = 0; fprintf( stderr, start------------------------------>1 \n ); const char*cascade_name =source_xml_addr; //加载分类器 cascade = (cvhaarclassifiercascade*)cvload( cascade_name, 0, 0, 0 ); if( !cascade ) { fprintf( stderr, error: could not load classifier cascade\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 ); if(img ==nullptr ) { fprintf( stderr, jpg load error! \n ); return; } fprintf( stderr, start------------------------------>2 \n ); 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; fprintf( stderr, start------------------------------>3 \n ); //遍历找到对象和周围画盒 for(int i=0;itotal);++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]); } fprintf( stderr, start------------------------------>4 \n ); for( int i = 0; i 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 );}//显示检测的结果void widget::show_face(iplimage* img){ /*将opecv的图片转为qimage格式*/ uchar *imgdata=(uchar *)img->imagedata; qimage my_image(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_face->setpixmap(my_pix);} widget.h文件代码：
#ifndef widget_h#define widget_h#include //opencv include#include #include #include qt_begin_namespacenamespace ui { class widget; }qt_end_namespaceclass widget : public qwidget{ q_objectpublic: widget(qwidget *parent = nullptr); void opencv_face(); ~widget(); void show_face(iplimage* img);private: ui::widget *ui;};#endif // widget_h 运行代码检测结果如下:
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Linux下QT配合OpenCV完成图像处理(实现人脸检测)
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opencv版本: 3.4.9
qt版本: 5.12
opencv 是一个基于 bsd 许可（开源）发行的跨平台计算机视觉和机器学习软件库，可以运行在 linux、windows、android 和 mac os 操作系统上。
opencv 的全称是 open source computer vision library，是一个跨平台的计算机视觉库。opencv 是由英特尔公司发起并参与开发，以 bsd 许可证授权发行，可以在商业和研究领域中免费使用。opencv 可用于开发实时的图像处理、计算机视觉以及模式识别程序。
opencv 用 c++语言编写，它具有 c ++，python，java 和 matlab 接口，并支持 windows，linux，android 和 mac os，opencv 主要倾向于实时视觉应用，并在可用时利用 mmx 和 sse 指令， 如今也提供对于 c#、ch、ruby，go 的支持。
二、建立qt工程加入opencv依赖库 下面编写例子很简单，使用opencv自带的分类器，检测一张图中的人脸，并圈出来。
opencv源码自带的人脸检测分类器目录：opencv-3.4.9/data/haarcascades_cuda/haarcascade_frontalface_alt2.xml
xxx.pro工程文件代码：
qt += core guigreaterthan(qt_major_version, 4): qt += widgetsconfig += 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 6.0.0sources += \ main.cpp \ widget.cppheaders += \ widget.hforms += \ widget.ui# default rules for deployment.qnx: target.path = /tmp/$${target}/binelse: unix:!android: target.path = /opt/$${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/opencv2libs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_calib3d.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_core.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_dnn.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_features2d.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_flann.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_highgui.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_imgcodecs.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_imgproc.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_ml.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_objdetect.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_photo.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_shape.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_stitching.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_superres.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_videoio.solibs+=/home/wbyq/work_pc/opencv-3.4.9/_install/install/lib/libopencv_video.so} widget.cpp文件代码：
#include widget.h#include ui_widget.hwidget::widget(qwidget *parent) : qwidget(parent) , ui(new ui::widget){ ui->setupui(this); opencv_face();}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(){ static cvmemstorage* storage = 0; static cvhaarclassifiercascade* cascade = 0; fprintf( stderr, start------------------------------>1 \n ); const char*cascade_name =source_xml_addr; //加载分类器 cascade = (cvhaarclassifiercascade*)cvload( cascade_name, 0, 0, 0 ); if( !cascade ) { fprintf( stderr, error: could not load classifier cascade\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 ); if(img ==nullptr ) { fprintf( stderr, jpg load error! \n ); return; } fprintf( stderr, start------------------------------>2 \n ); 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; fprintf( stderr, start------------------------------>3 \n ); //遍历找到对象和周围画盒 for(int i=0;itotal);++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]); } fprintf( stderr, start------------------------------>4 \n ); for( int i = 0; i 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 );}//显示检测的结果void widget::show_face(iplimage* img){ /*将opecv的图片转为qimage格式*/ uchar *imgdata=(uchar *)img->imagedata; qimage my_image(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_face->setpixmap(my_pix);} widget.h文件代码：
#ifndef widget_h#define widget_h#include //opencv include#include #include #include qt_begin_namespacenamespace ui { class widget; }qt_end_namespaceclass widget : public qwidget{ q_objectpublic: widget(qwidget *parent = nullptr); void opencv_face(); ~widget(); void show_face(iplimage* img);private: ui::widget *ui;};#endif // widget_h 运行代码检测结果如下:
iPhone仍是苹果在智能手机市场的杀手锏
人工智能时代已经来临_它的未来也在改变着人类的未来
VR游戏《Crisis VRigade》目前已经是SideQuest下载量最高的应用程序
全球前30大PCB厂总盘点 过半是中国企业
以后你的手机想怎么弯就怎么弯，因为有它
Linux下QT配合OpenCV完成图像处理(实现人脸检测)
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使用uIP堆栈将MAXQ微控制器联网
努比亚Z17S评测 诠释全面屏真正含义
光纤传感器概述
人员定位管理系统的应用场景：实现安全与效率的智能解决方案
投影画面偏色实例及应对方法
Google在“ 电话”应用中启动一项称为“ 已验证电话”的新功能
红米Redmi与抖音展开战略合作首款新机即将发布
针式打印机的打印针寿命
SQL优化的一般步骤与案例分析
半导体行业未来发展方向究竟是什么?