Cascade Classifier 级联分类器

来源：互联网发布：鼎捷软件股份有限公司编辑：程序博客网时间：2024/05/16 11:11
opencv_traincascade训练分类器，手势识别。

#include "opencv2/objdetect/objdetect.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include <iostream> #include <stdio.h> using namespace std; using namespace cv; /** Function Headers */ void detectAndDisplay( Mat frame ); /** Global variables */ String face_cascade_name = "haarcascade_frontalface_alt.xml"; String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml"; CascadeClassifier face_cascade; CascadeClassifier eyes_cascade; string window_name = "Capture - Face detection"; RNG rng(12345); /** @function main */ int main( int argc, const char** argv ) {   CvCapture* capture;   Mat frame;   //-- 1. Load the cascades   if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };   if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };   //-- 2. Read the video stream   capture = cvCaptureFromCAM( -1 );   if( capture )   {     while( true )     {   frame = cvQueryFrame( capture );   //-- 3. Apply the classifier to the frame       if( !frame.empty() )       { detectAndDisplay( frame ); }       else       { printf(" --(!) No captured frame -- Break!"); break; }       int c = waitKey(10);       if( (char)c == 'c' ) { break; }      }   }   return 0; }/** @function detectAndDisplay */void detectAndDisplay( Mat frame ){  std::vector<Rect> faces;  Mat frame_gray;  cvtColor( frame, frame_gray, CV_BGR2GRAY );  equalizeHist( frame_gray, frame_gray );  //-- Detect faces  face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );  for( size_t 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( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );    Mat faceROI = frame_gray( faces[i] );    std::vector<Rect> eyes;    //-- In each face, detect eyes    eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );    for( size_t 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[j].height)*0.25 );       circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );     }  }  //-- Show what you got  imshow( window_name, frame ); }
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