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Commit 580677f4 authored by Roman Donchenko's avatar Roman Donchenko Committed by OpenCV Buildbot
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Merge pull request #1304 from berak:doc_tut_cascade

parents 365def60 50288f13
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doc/tutorials/objdetect/cascade_classifier/cascade_classifier.rst
View file @ 580677f4
...@@ -26,91 +26,90 @@ This tutorial code's is shown lines below. You can also download it from `here < ...@@ -26,91 +26,90 @@ This tutorial code's is shown lines below. You can also download it from `here <
.. code-block:: cpp .. code-block:: cpp
#include "opencv2/objdetect.hpp" #include "opencv2/objdetect.hpp"
#include "opencv2/highgui.hpp" #include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp" #include "opencv2/imgproc.hpp"
#include <iostream> #include <iostream>
#include <stdio.h> #include <stdio.h>
using namespace std; using namespace std;
using namespace cv; 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 */ /** Function Headers */
void detectAndDisplay( Mat frame ) void detectAndDisplay( Mat frame );
{
std::vector<Rect> faces;
Mat frame_gray;
cvtColor( frame, frame_gray, CV_BGR2GRAY ); /** Global variables */
equalizeHist( frame_gray, frame_gray ); 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";
//-- Detect faces /** @function main */
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) ); int main( void )
{
VideoCapture capture;
Mat frame;
//-- 1. Load the cascades
if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; };
if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\n"); return -1; };
//-- 2. Read the video stream
capture.open( -1 );
if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; }
while ( capture.read(frame) )
{
if( frame.empty() )
{
printf(" --(!) No captured frame -- Break!");
break;
}
//-- 3. Apply the classifier to the frame
detectAndDisplay( frame );
int c = waitKey(10);
if( (char)c == 27 ) { break; } // escape
}
return 0;
}
for( int i = 0; i < faces.size(); i++ ) /** @function detectAndDisplay */
void detectAndDisplay( Mat frame )
{ {
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 ); std::vector<Rect> faces;
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 frame_gray;
cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
equalizeHist( frame_gray, frame_gray );
//-- Detect faces
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) );
Mat faceROI = frame_gray( faces[i] ); for( size_t i = 0; i < faces.size(); i++ )
std::vector<Rect> eyes; {
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 ), 4, 8, 0 );
//-- In each face, detect eyes Mat faceROI = frame_gray( faces[i] );
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) ); std::vector<Rect> eyes;
for( int j = 0; j < eyes.size(); j++ ) //-- In each face, detect eyes
{ eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) );
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 ); for( size_t j = 0; j < eyes.size(); j++ )
circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 ); {
} 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 ), 4, 8, 0 );
}
}
//-- Show what you got
imshow( window_name, frame );
} }
//-- Show what you got
imshow( window_name, frame );
}
Explanation Explanation
============ ============
......
samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
View file @ 580677f4
/** #include "opencv2/objdetect.hpp"
* @file objectDetection.cpp #include "opencv2/highgui.hpp"
* @author A. Huaman ( based in the classic facedetect.cpp in samples/c ) #include "opencv2/imgproc.hpp"
* @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 "opencv2/core/utility.hpp"
#include "opencv2/highgui/highgui_c.h"
#include <iostream> #include <iostream>
#include <stdio.h> #include <stdio.h>
...@@ -20,79 +12,73 @@ using namespace cv; ...@@ -20,79 +12,73 @@ using namespace cv;
void detectAndDisplay( Mat frame ); void detectAndDisplay( Mat frame );
/** Global variables */ /** 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 face_cascade_name = "haarcascade_frontalface_alt.xml"; String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
string eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade; CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade; CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection"; String window_name = "Capture - Face detection";
RNG rng(12345);
/** /** @function main */
* @function main
*/
int main( void ) int main( void )
{ {
CvCapture* capture; VideoCapture capture;
Mat frame; Mat frame;
//-- 1. Load the cascades //-- 1. Load the cascades
if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; }; if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; };
if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; }; if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\n"); return -1; };
//-- 2. Read the video stream
capture = cvCaptureFromCAM( -1 );
if( capture )
{
for(;;)
{
frame = cv::cvarrToMat(cvQueryFrame( capture ));
//-- 3. Apply the classifier to the frame //-- 2. Read the video stream
if( !frame.empty() ) capture.open( -1 );
{ detectAndDisplay( frame ); } if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; }
else
{ printf(" --(!) No captured frame -- Break!"); break; }
int c = waitKey(10); while ( capture.read(frame) )
if( (char)c == 'c' ) { break; } {
if( frame.empty() )
{
printf(" --(!) No captured frame -- Break!");
break;
}
//-- 3. Apply the classifier to the frame
detectAndDisplay( frame );
int c = waitKey(10);
if( (char)c == 27 ) { break; } // escape
} }
} return 0;
return 0;
} }
/** /** @function detectAndDisplay */
* @function detectAndDisplay
*/
void detectAndDisplay( Mat frame ) void detectAndDisplay( Mat frame )
{ {
std::vector<Rect> faces; std::vector<Rect> faces;
Mat frame_gray; Mat frame_gray;
cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
equalizeHist( frame_gray, frame_gray );
cvtColor( frame, frame_gray, COLOR_BGR2GRAY ); //-- Detect faces
equalizeHist( frame_gray, frame_gray ); face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) );
//-- Detect faces
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) );
for( size_t i = 0; i < faces.size(); i++ ) 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 ); 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 ); ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2 ), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );
Mat faceROI = frame_gray( faces[i] ); Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes; std::vector<Rect> eyes;
//-- In each face, detect eyes //-- In each face, detect eyes
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) ); eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) );
for( size_t j = 0; j < eyes.size(); j++ ) 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 ); 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 ); int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 3, 8, 0 ); circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
} }
} }
//-- Show what you got //-- Show what you got
imshow( window_name, frame ); imshow( window_name, frame );
} }
samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp
View file @ 580677f4
...@@ -3,12 +3,9 @@ ...@@ -3,12 +3,9 @@
* @author A. Huaman ( based in the classic facedetect.cpp in samples/c ) * @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 - Using LBP here * @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
*/ */
#include "opencv2/objdetect/objdetect.hpp" #include "opencv2/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp" #include "opencv2/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp" #include "opencv2/imgproc.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/highgui/highgui_c.h"
#include <iostream> #include <iostream>
#include <stdio.h> #include <stdio.h>
...@@ -20,46 +17,43 @@ using namespace cv; ...@@ -20,46 +17,43 @@ using namespace cv;
void detectAndDisplay( Mat frame ); void detectAndDisplay( Mat frame );
/** Global variables */ /** Global variables */
string face_cascade_name = "lbpcascade_frontalface.xml"; String face_cascade_name = "lbpcascade_frontalface.xml";
string eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml"; String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade; CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade; CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection"; String window_name = "Capture - Face detection";
RNG rng(12345);
/** /**
* @function main * @function main
*/ */
int main( void ) int main( void )
{ {
CvCapture* capture; VideoCapture capture;
Mat frame; Mat frame;
//-- 1. Load the cascade
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 = cv::cvarrToMat(cvQueryFrame( capture ));
//-- 3. Apply the classifier to the frame //-- 1. Load the cascade
if( !frame.empty() ) if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; };
{ detectAndDisplay( frame ); } if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\n"); return -1; };
else
{ printf(" --(!) No captured frame -- Break!"); break; }
int c = waitKey(10); //-- 2. Read the video stream
if( (char)c == 'c' ) { break; } capture.open( -1 );
if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; }
while ( capture.read(frame) )
{
if( frame.empty() )
{
printf(" --(!) No captured frame -- Break!");
break;
}
//-- 3. Apply the classifier to the frame
detectAndDisplay( frame );
//-- bail out if escape was pressed
int c = waitKey(10);
if( (char)c == 27 ) { break; }
} }
} return 0;
return 0;
} }
/** /**
...@@ -67,37 +61,37 @@ int main( void ) ...@@ -67,37 +61,37 @@ int main( void )
*/ */
void detectAndDisplay( Mat frame ) void detectAndDisplay( Mat frame )
{ {
std::vector<Rect> faces; std::vector<Rect> faces;
Mat frame_gray; Mat frame_gray;
cvtColor( frame, frame_gray, COLOR_BGR2GRAY ); cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
equalizeHist( frame_gray, frame_gray ); equalizeHist( frame_gray, frame_gray );
//-- Detect faces //-- Detect faces
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) ); face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) );
for( size_t i = 0; i < faces.size(); i++ ) for( size_t i = 0; i < faces.size(); i++ )
{ {
Mat faceROI = frame_gray( faces[i] ); Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes; std::vector<Rect> eyes;
//-- In each face, detect eyes //-- In each face, detect eyes
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) ); eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) );
if( eyes.size() == 2) if( eyes.size() == 2)
{ {
//-- Draw the face //-- Draw the face
Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 ); 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 ); 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++ ) for( size_t j = 0; j < eyes.size(); j++ )
{ //-- Draw the eyes { //-- 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 ); 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 ); int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
circle( frame, eye_center, radius, Scalar( 255, 0, 255 ), 3, 8, 0 ); circle( frame, eye_center, radius, Scalar( 255, 0, 255 ), 3, 8, 0 );
} }
} }
} }
//-- Show what you got //-- Show what you got
imshow( window_name, frame ); imshow( window_name, frame );
} }
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