mirror of
https://github.com/opencv/opencv.git
synced 2024-12-18 11:28:02 +08:00
96 lines
2.8 KiB
C++
96 lines
2.8 KiB
C++
/**
|
|
* @file objectDetection.cpp
|
|
* @author A. Huaman ( based in the classic facedetect.cpp in samples/c )
|
|
* @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
|
|
*/
|
|
#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 */
|
|
//-- Note, either copy these two files from opencv/data/haarscascades to your current folder, or change these locations
|
|
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( void )
|
|
{
|
|
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 )
|
|
{
|
|
for(;;)
|
|
{
|
|
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/2, faces[i].y + faces[i].height/2 );
|
|
ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2), 0, 0, 360, Scalar( 255, 0, 255 ), 2, 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 eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 );
|
|
int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
|
|
circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 3, 8, 0 );
|
|
}
|
|
}
|
|
//-- Show what you got
|
|
imshow( window_name, frame );
|
|
}
|