using VideoCapture instead of CvCapture* in cascade tutorial
corrected constants, changed objdetection.cpp as well updated objDetection2.cpp as well fixed headers in objdetection2.cpp removed useles RNG fixed buildbot warnings (wow, i like that bot!) victim of the war on whitespace fixing buildbot warnings fixing last buildbot warning, heya . trying to rebase/squash commits
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@ -26,91 +26,90 @@ This tutorial code's is shown lines below. You can also download it from `here <
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.. code-block:: cpp
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#include "opencv2/objdetect.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/objdetect.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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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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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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/** Function Headers */
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void detectAndDisplay( Mat frame );
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/** Global variables */
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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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/** Global variables */
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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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/** @function main */
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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 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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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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/** @function detectAndDisplay */
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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( int i = 0; i < faces.size(); i++ )
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/** @function main */
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int main( void )
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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, 255 ), 4, 8, 0 );
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VideoCapture capture;
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Mat frame;
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Mat faceROI = frame_gray( faces[i] );
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std::vector<Rect> eyes;
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//-- 1. Load the cascades
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if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; };
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if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\n"); return -1; };
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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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//-- 2. Read the video stream
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capture.open( -1 );
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if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; }
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for( int j = 0; j < eyes.size(); j++ )
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{
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Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
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int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
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circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
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}
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while ( capture.read(frame) )
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{
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if( frame.empty() )
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{
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printf(" --(!) No captured frame -- Break!");
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break;
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}
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//-- 3. Apply the classifier to the frame
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detectAndDisplay( frame );
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int c = waitKey(10);
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if( (char)c == 27 ) { break; } // escape
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}
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return 0;
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}
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/** @function detectAndDisplay */
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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, COLOR_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|CASCADE_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 ), 4, 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 |CASCADE_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, center, radius, Scalar( 255, 0, 0 ), 4, 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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//-- Show what you got
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imshow( window_name, frame );
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}
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Explanation
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============
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@ -1,14 +1,6 @@
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/**
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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 "opencv2/core/utility.hpp"
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#include "opencv2/highgui/highgui_c.h"
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#include "opencv2/objdetect.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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@ -20,79 +12,73 @@ using namespace cv;
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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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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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String window_name = "Capture - Face detection";
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/**
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* @function main
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*/
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/** @function main */
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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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VideoCapture 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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//-- 1. Load the cascades
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if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; };
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if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\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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//-- 2. Read the video stream
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capture.open( -1 );
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if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; }
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while ( capture.read(frame) )
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{
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frame = cv::cvarrToMat(cvQueryFrame( capture ));
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if( frame.empty() )
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{
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printf(" --(!) No captured frame -- Break!");
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break;
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}
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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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//-- 3. Apply the classifier to the frame
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detectAndDisplay( frame );
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int c = waitKey(10);
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if( (char)c == 27 ) { break; } // escape
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}
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}
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return 0;
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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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/** @function detectAndDisplay */
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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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std::vector<Rect> faces;
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Mat frame_gray;
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cvtColor( frame, frame_gray, COLOR_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|CASCADE_SCALE_IMAGE, Size(30, 30) );
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cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
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equalizeHist( frame_gray, frame_gray );
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for( size_t i = 0; i < faces.size(); i++ )
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//-- Detect faces
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face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_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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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 ), 4, 8, 0 );
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Mat faceROI = frame_gray( faces[i] );
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std::vector<Rect> eyes;
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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 |CASCADE_SCALE_IMAGE, Size(30, 30) );
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//-- In each face, detect eyes
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eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_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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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, center, radius, Scalar( 255, 0, 0 ), 4, 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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//-- Show what you got
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imshow( window_name, frame );
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}
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@ -3,12 +3,9 @@
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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 "opencv2/core/utility.hpp"
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#include "opencv2/highgui/highgui_c.h"
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#include "opencv2/objdetect.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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@ -20,46 +17,43 @@ using namespace cv;
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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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string eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
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String face_cascade_name = "lbpcascade_frontalface.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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String window_name = "Capture - Face detection";
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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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VideoCapture 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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if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
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//-- 1. Load the cascade
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if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; };
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if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\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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//-- 2. Read the video stream
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capture.open( -1 );
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if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; }
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while ( capture.read(frame) )
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{
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frame = cv::cvarrToMat(cvQueryFrame( capture ));
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if( frame.empty() )
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{
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printf(" --(!) No captured frame -- Break!");
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break;
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}
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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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//-- 3. Apply the classifier to the frame
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detectAndDisplay( frame );
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//-- bail out if escape was pressed
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int c = waitKey(10);
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if( (char)c == 27 ) { break; }
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}
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}
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return 0;
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return 0;
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}
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/**
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@ -67,37 +61,37 @@ int main( void )
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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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std::vector<Rect> faces;
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Mat frame_gray;
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cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
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equalizeHist( frame_gray, frame_gray );
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cvtColor( frame, frame_gray, COLOR_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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//-- Detect faces
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face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) );
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for( size_t i = 0; i < faces.size(); i++ )
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for( size_t i = 0; i < faces.size(); i++ )
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{
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Mat faceROI = frame_gray( faces[i] );
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std::vector<Rect> eyes;
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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 |CASCADE_SCALE_IMAGE, Size(30, 30) );
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if( eyes.size() == 2)
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{
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//-- Draw the face
|
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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, 0 ), 2, 8, 0 );
|
||||
//-- In each face, detect eyes
|
||||
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) );
|
||||
if( eyes.size() == 2)
|
||||
{
|
||||
//-- Draw the face
|
||||
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, 0 ), 2, 8, 0 );
|
||||
|
||||
for( size_t j = 0; j < eyes.size(); j++ )
|
||||
{ //-- Draw the eyes
|
||||
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, 255 ), 3, 8, 0 );
|
||||
}
|
||||
}
|
||||
for( size_t j = 0; j < eyes.size(); j++ )
|
||||
{ //-- Draw the eyes
|
||||
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, 255 ), 3, 8, 0 );
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
//-- Show what you got
|
||||
imshow( window_name, frame );
|
||||
//-- Show what you got
|
||||
imshow( window_name, frame );
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user