新手一枚。根據工具書的指導，復制...\opencv\sources\data\haarcascades之中的haarcascade_eye_tree_eyeglasses.xml和haarcascade_frontalface_alt.xml到源檔案檔案夾之中，后分別使用...\opencv\sources\samples\cpp\tutorial_code\objectDetection里面兩個函式objectDetection.cpp以及objectDetection2.cpp進行除錯，發現都是閃了一下之后就滅了。添加了getchar（）；和waitKey（）；都沒有見效，是我哪里出錯了嗎？
庫中的objectDetection代碼如下：
#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 = "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";
/** @function main */
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(10000);
if( (char)c == 27 ) { break; } // escape
}
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|CASCADE_SCALE_IMAGE, Size(30, 30) );
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 );
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] );
std::vector<Rect> eyes;
//-- In each face, detect eyes
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) );
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 );
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 );
}
和objectDetection2代碼：
/**
* @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
int c = waitKey(10);
if( (char)c == 27 ) { break; }
}
getchar();
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）；
}
uj5u.com熱心網友回復：
waitKey(0)uj5u.com熱心網友回復：
加在第二個代碼 依然不變呀 還是閃了一下就沒有了 況且第二個代碼本身就帶有getchar不是嗎uj5u.com熱心網友回復：
那你加兩個getchar試試uj5u.com熱心網友回復：
如果還不行，那就加斷點跟一下看看是哪兒退出了uj5u.com熱心網友回復：
waitKey(0)和
getchar()
不是一回事！
uj5u.com熱心網友回復：
main函式里面打斷點1.看看兩個xml檔案讀取到沒有,兩個檔案讀取的xml是不同的
2.看看視頻讀取到沒有
基本上就這兩個地方了
uj5u.com熱心網友回復：
兩個xml檔案沒錯。我現在還不懂讀到沒有是什么意思QAQ。。。以及打斷點。應該怎么打呢
uj5u.com熱心網友回復：
VS IDE中，在不明白的符號上點滑鼠右鍵，選轉到定義。uj5u.com熱心網友回復：
僅供參考：D:\FaceDetector
+---data
| \---haarcascades
| haarcascade_frontalface_alt2.xml
| haarcascade_mcs_eyepair_big.xml
|
\---demo
\---bin
0-14.avi
FaceDetector.exe
opencv_calib3d230.dll
opencv_contrib230.dll
opencv_core230.dll
opencv_features2d230.dll
opencv_ffmpeg.dll
opencv_flann230.dll
opencv_gpu230.dll
opencv_highgui230.dll
opencv_imgproc230.dll
opencv_legacy230.dll
opencv_ml230.dll
opencv_objdetect230.dll
opencv_ts230.dll
opencv_video230.dll
uj5u.com熱心網友回復：
String faceName="../../data/haarcascades/haarcascade_frontalface_alt2.xml";
String eyesName="../../data/haarcascades/haarcascade_mcs_eyepair_big.xml";
CascadeClassifier face, eyes;
if (!face.load(faceName)) {cerr<<"Could not load classifier cascade for face:"<<faceName<<endl;return -1;}
if (!eyes.load(eyesName)) {cerr<<"Could not load classifier cascade for eyes:"<<eyesName<<endl;return -1;}
uj5u.com熱心網友回復：
用我的這個吧，親測有效。/**
* @file objectDetection.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
*/
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;
/** Function Headers */
void detectAndDisplay(Mat frame);
/** Global variables */
//-- Note, either copy these two files from opencv/data/haarscascades to your current folder, or change these locations
String face_cascade_name = "D:/Program Files/opencv2017/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml";
String eyes_cascade_name = "D:/Program Files/opencv2017/opencv/sources/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection";
RNG rng(12345);
/**
* @function main
*/
int main(void)
{
VideoCapture 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.open(0);
if (capture.isOpened())
{
for (;;)
{
capture >> frame;
//-- 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
*/
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 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
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);
ellipse(frame, center, Size(faces[i].width / 2, faces[i].height / 2), 0, 0, 360, Scalar(255, 0, 255), 2, 8, 0);
Mat faceROI = frame_gray(faces[i]);
std::vector<Rect> eyes;
// -- In each face, detect eyes
eyes_cascade.detectMultiScale(faceROI, eyes, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
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);
int radius = cvRound((eyes[j].width + eyes[j].height)*0.25);
circle(frame, eye_center, radius, Scalar(255, 0, 0), 3, 8, 0);
}
}
//-- Show what you got
imshow(window_name, frame);
}
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