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https://github.com/opencv/opencv.git
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2a6fb2867e
Made all STL usages explicit to be able automatically find all usages of particular class or function.
96 lines
2.8 KiB
C++
96 lines
2.8 KiB
C++
/**
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* @file objectDetection.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
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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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//-- Note, either copy these two files from opencv/data/haarscascades to your current folder, or change these locations
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string face_cascade_name = "haarcascade_frontalface_alt.xml";
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string eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
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CascadeClassifier face_cascade;
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CascadeClassifier eyes_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( void )
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{
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CvCapture* capture;
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Mat frame;
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//-- 1. Load the cascades
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if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
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if( !eyes_cascade.load( eyes_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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for(;;)
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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|CV_HAAR_SCALE_IMAGE, Size(30, 30) );
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for( size_t i = 0; i < faces.size(); i++ )
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{
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Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 );
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ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2), 0, 0, 360, Scalar( 255, 0, 255 ), 2, 8, 0 );
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Mat faceROI = frame_gray( faces[i] );
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std::vector<Rect> eyes;
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//-- In each face, detect eyes
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eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
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for( size_t j = 0; j < eyes.size(); j++ )
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{
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Point eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 );
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int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
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circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 3, 8, 0 );
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}
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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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