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This commit is contained in:
Andrey Kamaev
2012-08-07 13:29:43 +04:00
parent b061d4847f
commit 639bbec44a
66 changed files with 1180 additions and 1305 deletions
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24
doc/tutorials/objdetect/cascade_classifier/cascade_classifier.rst
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@@ -14,7 +14,7 @@ In this tutorial you will learn how to:
* :cascade_classifier_load:`load <>` to load a .xml classifier file. It can be either a Haar or a LBP classifer
* :cascade_classifier_detect_multiscale:`detectMultiScale <>` to perform the detection.
Theory
======
@@ -22,9 +22,9 @@ Theory
Code
====
This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp>`_ . The second version (using LBP for face detection) can be `found here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp>`_
This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp>`_ . The second version (using LBP for face detection) can be `found here <http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp>`_
.. code-block:: cpp
.. code-block:: cpp
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
@@ -56,7 +56,7 @@ This tutorial code's is shown lines below. You can also download it from `here <
//-- 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 )
@@ -64,15 +64,15 @@ This tutorial code's is shown lines below. You can also download it from `here <
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; }
if( (char)c == 'c' ) { break; }
}
}
return 0;
@@ -103,11 +103,11 @@ This tutorial code's is shown lines below. You can also download it from `here <
for( int j = 0; j < eyes.size(); j++ )
{
Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
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 );
circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
}
}
}
//-- Show what you got
imshow( window_name, frame );
}
@@ -124,11 +124,11 @@ Result
:align: center
:height: 300pt
Remember to copy the files *haarcascade_frontalface_alt.xml* and *haarcascade_eye_tree_eyeglasses.xml* in your current directory. They are located in *opencv/data/haarcascades*
Remember to copy the files *haarcascade_frontalface_alt.xml* and *haarcascade_eye_tree_eyeglasses.xml* in your current directory. They are located in *opencv/data/haarcascades*
#. This is the result of using the file *lbpcascade_frontalface.xml* (LBP trained) for the face detection. For the eyes we keep using the file used in the tutorial.
#. This is the result of using the file *lbpcascade_frontalface.xml* (LBP trained) for the face detection. For the eyes we keep using the file used in the tutorial.
.. image:: images/Cascade_Classifier_Tutorial_Result_LBP.jpg
:align: center
:height: 300pt
:height: 300pt