mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-24 11:10:21 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Update objectDetection.cpp

Browse Source
This commit is contained in:
Suleyman TURKMEN 2017-01-19 11:17:53 +02:00
parent a22f03e749
commit 50bda8adfe
3 changed files with 16 additions and 106 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
doc/tutorials/objdetect/cascade_classifier/cascade_classifier.markdown
View File

@ -19,8 +19,6 @@ Code
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp)
. The second version (using LBP for face detection) can be [found
here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp)
@include samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
Explanation
@ -34,8 +32,8 @@ Result
![](images/Cascade_Classifier_Tutorial_Result_Haar.jpg)
Remember to copy the files *haarcascade_frontalface_alt.xml* and
*haarcascade_eye_tree_eyeglasses.xml* in your current directory. They are located in
Be sure the program will find the path of files *haarcascade_frontalface_alt.xml* and
*haarcascade_eye_tree_eyeglasses.xml*. They are located in
*opencv/data/haarcascades*
-# This is the result of using the file *lbpcascade_frontalface.xml* (LBP trained) for the face

18
samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
View File

@ -13,15 +13,25 @@ using namespace cv;
void detectAndDisplay( Mat frame );
/** Global variables */
String face_cascade_name = "haarcascade_frontalface_alt.xml";
String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
String face_cascade_name, eyes_cascade_name;
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
String window_name = "Capture - Face detection";
/** @function main */
int main( void )
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv,
"{help h||}"
"{face_cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{eyes_cascade|../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}");
cout << "\nThis program demonstrates using the cv::CascadeClassifier class to detect objects (Face + eyes) in a video stream.\n"
"You can use Haar or LBP features.\n\n";
parser.printMessage();
face_cascade_name = parser.get<string>("face_cascade");
eyes_cascade_name = parser.get<string>("eyes_cascade");
VideoCapture capture;
Mat frame;
@ -30,7 +40,7 @@ int main( void )
if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\n"); return -1; };
//-- 2. Read the video stream
capture.open( -1 );
capture.open( 0 );
if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; }
while ( capture.read(frame) )

98
samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp
View File

@ -1,98 +0,0 @@
/**
* @file objectDetection2.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 - Using LBP here
*/
#include "opencv2/objdetect.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;
/** Function Headers */
void detectAndDisplay( Mat frame );
/** Global variables */
String face_cascade_name = "lbpcascade_frontalface.xml";
String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
String window_name = "Capture - Face detection";
/**
* @function main
*/
int main( void )
{
VideoCapture capture;
Mat frame;
//-- 1. Load the cascade
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 );
//-- bail out if escape was pressed
char c = (char)waitKey(10);
if( c == 27 ) { break; }
}
return 0;
}
/**
* @function detectAndDisplay
*/
void detectAndDisplay( Mat frame )
{
std::vector<Rect> faces;
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, Size(80, 80) );
for( size_t i = 0; i < faces.size(); i++ )
{
Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes;
//-- 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 );
}
}
}
//-- Show what you got
imshow( window_name, frame );
}