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Open Source Computer Vision Library
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79 lines
2.0 KiB
79 lines
2.0 KiB
13 years ago
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/**
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* @file objectDetection2.cpp
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* @author A. Huaman ( based in the classic facedetect.cpp in samples/c )
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* @brief A simplified version of facedetect.cpp, show how to load a cascade classifier and how to find objects (Face + eyes) in a video stream - Using LBP here
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*/
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#include "opencv2/objdetect/objdetect.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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using namespace std;
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using namespace cv;
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/** Function Headers */
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void detectAndDisplay( Mat frame );
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/** Global variables */
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String face_cascade_name = "lbpcascade_frontalface.xml";
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CascadeClassifier face_cascade;
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string window_name = "Capture - Face detection";
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RNG rng(12345);
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/**
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* @function main
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*/
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int main( int argc, const char** argv )
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{
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CvCapture* capture;
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Mat frame;
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//-- 1. Load the cascade
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if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
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//-- 2. Read the video stream
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capture = cvCaptureFromCAM( -1 );
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if( capture )
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{
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while( true )
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{
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frame = cvQueryFrame( capture );
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//-- 3. Apply the classifier to the frame
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if( !frame.empty() )
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{ detectAndDisplay( frame ); }
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else
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{ printf(" --(!) No captured frame -- Break!"); break; }
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int c = waitKey(10);
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if( (char)c == 'c' ) { break; }
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}
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}
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return 0;
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}
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/**
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* @function detectAndDisplay
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*/
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void detectAndDisplay( Mat frame )
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{
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std::vector<Rect> faces;
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Mat frame_gray;
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cvtColor( frame, frame_gray, CV_BGR2GRAY );
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equalizeHist( frame_gray, frame_gray );
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//-- Detect faces
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face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) );
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for( int i = 0; i < faces.size(); i++ )
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{
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Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
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ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 0 ), 2, 8, 0 );
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}
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//-- Show what you got
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imshow( window_name, frame );
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}
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