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
![](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
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;
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) )
+++ /dev/null
-/**
- * @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 );
-}