Opencv 2.4 compilation error with objectdetect.hpp - c++

I have installed OpenCV using the instructions provided on the wiki using cmake. I have built the files on my desktop. The first program that I tried to run was a simple capture from camera program. Its source is
#include "cv.h"
#include "highgui.h"
#include <stdio.h>
int main() {
CvCapture* capture = cvCaptureFromCAM( CV_CAP_ANY );
if ( !capture ) {
fprintf( stderr, "ERROR: capture is NULL \n" );
getchar();
return -1;
}
cvNamedWindow( "mywindow", CV_WINDOW_AUTOSIZE );
while ( 1 ) {
IplImage* frame = cvQueryFrame( capture );
if ( !frame ) {
fprintf( stderr, "ERROR: frame is null...\n" );
getchar();
break;
}
cvShowImage( "Cam WIndow", frame );
if ( (cvWaitKey(10) & 255) == 27 ) break;
}
cvReleaseCapture( &capture );
cvDestroyWindow( "Cam WIndow" );
return 0;
}
It is compiling properly with the g++ command with pkg-config provided below:
g++ -o cam Camera.cpp pkg-config opencv --cflags --libs
The second program that I have tried to run is also fom there wiki, the face recognition program, its source is given below.
#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;
void detectAndDisplay( Mat frame );
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";
RNG rng(12345);
int main( int argc, const char** argv )
{
CvCapture* capture;
Mat frame;
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;
};
capture = cvCaptureFromCAM( -1 );
if( capture )
{
while( true )
{
frame = cvQueryFrame( capture );
if( !frame.empty() )
{ detectAndDisplay( frame ); }
else
{ printf(" --(!) No captured frame -- Break!"); break; }
int c = waitKey(10);
if( (char)c == 'c' ) { break; }
}
}
return 0;
}
void detectAndDisplay( Mat frame )
{
std::vector<Rect> faces;
Mat frame_gray;
cvtColor( frame, frame_gray, CV_BGR2GRAY );
equalizeHist( frame_gray, frame_gray );
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) );
for( int i = 0; i < faces.size(); i++ )
{
Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes;
eyes_cascade.detectMultiScale(faceROI,eyes,1.1,2,0|CV_HAAR_SCALE_IMAGE,Size(30, 30));
if( eyes.size() == 2)
{
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
ellipse(frame,center,Size(faces[i].width*0.5,faces[i].height*0.5),0,0,360,Scalar(255,0,0),2,8,0);
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 );
int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
circle( frame, center, radius, Scalar( 255, 0, 255 ), 3, 8, 0 );
}
}
}
imshow( window_name, frame );
}
Now this program I compiled using the command given below:
g++ -o cam Cam1.cpp -lopencv_core -lopencv_imgproc -lopencv_calib3d -lopencv_video -lopencv_features2d -lopencv_ml -lopencv_highgui -lopencv_objdetect -lopencv_contrib -lopencv_legacyD
This compilation command gives the error
fatal error: opencv2/objdetect/objdetect.hpp: No such file or directory
What to do?

The error is because of the compiler couldn't find the file "objdetect.hpp". There might be two reasons for that.
1)The file "objdetect.hpp" will be generated during the installation process of the opencv, so if there any problem at this step the file might haven't created, so first check for that file.
2)If you could find that file, then the problem will be due to the compiler couldn't get the path to the file, so you have to fix it. It can be done by either include the exact path to the list of included paths in the make file for the objectdetcet module using -I/path/to/the/file.
If you don't have such a make file then you can specify the path through command line using the above -I/ Option.
It can also be done in another way by exporting the path to some flag(I don't know the name of the flag),so that the compiler will look into that path exported , during the compile time,I am not sure about this method ,Please check it in internet.
Hope that you can fix the problem with this ..

Related

Face detection to unlock door

I found this code from opencv website and tried it out. I got this problem where detectAndDisplay shows an error saying incomplete type is not allowed, CascadeClassifier is not a type name, CvCapture is undefined and so on... How do I solve these errors
#include "C:\opencv\build\include\opencv\objdetect.hpp"
#include "C:\opencv\build\include\opencv2\highgui.hpp"
#include "C:\opencv\build\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";
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 */
void detectAndDisplay( Mat frame )
{
std::vector<Rect> faces;
Mat frame_gray;
cvtColor( frame, frame_gray, CV_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*0.5, faces[i].y + faces[i].height*0.5 );
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 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 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 );
}
Are you using Windows?
If you are the first line should be #include "C:\opencv\build\include\opencv2//objdetect.hpp" I think (with double slashes before objdetect.hpp). This should be able to solve the problem with CascadeClassifier.
As for the CvCapture problem, which version of OpenCV are you using? I'm pretty sure it's no longer supported if you are using the latest versions (3.0 or above) and I'm not sure if it's still available in the older versions. See this What is the difference between the CvCapture structure and the VideoCapture structure?.
I'd suggest using VideoCapture instead http://docs.opencv.org/2.4/modules/highgui/doc/reading_and_writing_images_and_video.html#videocapture (looks like OpenCV 2.4 is not supporting CvCapture as well). They're pretty much the same thing and I'm using VideoCapture right now so it should work well!

Fail to Load .xml file when trying to run OpenCv objectDetection

I was trying to run the facial detection with OpenCV3.0 sample c++ code under macOS Sierria version 10.12.5. However, I failed the load the ".xml" file. I tried using relative path as well as absolute path to "haarcascade_frontalface_alt.xml" and "haarcascade_eye_tree_eyeglasses.xml" run it, but it did not solve the problem for me. I compiled the code successfully but got error message:
--(!)Error loading face cascade
I think there's some problem to do with the load method of the CascadeClassifier. I read about some threads. But none gives specific instructions on solving this matter. I beg for specific instructions on solving this. Thank you all so much!
Here is the sample code:
#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 = "/my/path/to/haarcascade_frontalface_alt.xml";
String eyes_cascade_name = "/my/path/to/haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
String window_name = "Capture - Face detection";
/** #function main */
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;
//-- 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( 0 );
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 );
char c = (char)waitKey(10);
if( 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 );
}

OpenCV Help - Error: no operator "=" Matches these operands. operand types are cv::Mat = IplImage*

I have recently started learning how to use OpenCV and i have been following the tutorials hosted by their website. I am using OpenCV 3.0, however, it seems some of the tutorial information is out of date.
I and on the tutorial "Cascade Classifier" link:
http://www.docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html
They provided example code is not running for me and I cannot understand why. I have provided the code example below:
#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 */
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 */
void detectAndDisplay( Mat frame )
{
std::vector<Rect> faces;
Mat frame_gray;
cvtColor( frame, frame_gray, CV_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*0.5, faces[i].y + faces[i].height*0.5 );
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 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 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 );
}
The error for me arises on line 38 "frame = cvQueryFrame( capture );"
the "=" is underlined red and gives the error message displayed in the title of the question
I'm sorry if the code is not displayed correctly, this is my first time asking a question.
no fear, it's not exactly your fault, - you stumbled over outdated tutorial code, the arcane c-api is no more adequate today(and won't work with 3.0).
please replace :
CvCapture* capture;
capture = cvCaptureFromCAM( -1 );
if( capture )
{
with:
VideoCapture capture(-1);
if (capture.isOpened())
{
and:
frame = cvQueryFrame( capture );
with:
capture.read(frame);
also, opencv3.0 docs: http://docs.opencv.org/ref/master/
(your sample code is from 2.4.x)

face detection does not work

I'm using OpenCV on a 64-bit Win 7, with VS2010 (C++).
I've tried so many source codes for detecting faces, they compile and run, but no detection takes place.
I'll give two examples:
1) In this first example, I'm using source code from:
http://www.bsd-noobz.com/opencv-guide/60-3-face-detection
I get the picture, but not the squares.
2) In this second example, I'm using code that I had downloaded some time ago (can't remember where from). This one shows the stream from the webcam, and again no detection is happening.
#include "stdafx.h"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
using namespace std;
using namespace cv;
/** Function Headers */
void detectAndDisplay2( 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;
//RNG rng(12345);
/** #function main */
int main()
{
CvCapture* 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 eye cascade\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() )
{ detectAndDisplay2( frame ); }
else
{ printf(" --(!) No captured frame -- Break!"); break; }
int c = waitKey(10);
if( (char)c == 'c' ) { break; }
}
}
cvReleaseCapture(&capture);
cvDestroyWindow("Capture - Face detection");
return 0;
}
/** #function detectAndDisplay */
void detectAndDisplay2( Mat frame )
{
vector<Rect> faces;
Mat frame_gray;
cvtColor( frame, frame_gray, CV_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( int i = 0; i < faces.size(); i++ )
{
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
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 faceROI = frame_gray( faces[i] );
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( 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 );
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( "Processed", frame_gray );
imshow( "Capture - Face detection", frame );
}
I'd be really grateful if someone can help.
This is a opencv project in github. This error stems from two issues that I can see.
1) Make sure you’ve installed the correct OpenCV version. I suggest this install guide… It worked well for me.
2) Then, make sure you have added haarcascade_frontalface_alt.xml to inside of the executable file – which should be in a folder like ../build/bin/haarcascade_frontalface_alt.xml when you built the project).

How to execute some shell script after opencv detect circle

How to execute some shell script (e.g 1.sh) after opencv detect circle?
I have used exec, it works but opencv program close after circle detected, and what I want is that the program didn't close until I press "q" key.
Here is my code:
#include<cv.h>
#include<highgui.h>
#include <math.h>
#include <stdlib.h>
#include <unistd.h>
using namespace std;
int main( int argc, char **argv )
{
CvCapture *capture = 0;
IplImage *img = 0;
int key = 0;
CvFont font;
cvInitFont(&font, CV_FONT_HERSHEY_PLAIN,1.0,1.0,0,1,CV_AA);
capture = cvCaptureFromCAM( 0 );
if ( !capture ) {
fprintf( stderr, "Cannot open initialize webcam!\n" );
return 1;
}
cvNamedWindow( "result", CV_WINDOW_AUTOSIZE );
img = cvQueryFrame( capture );
if (!img)
exit(1);
IplImage* gray = cvCreateImage( cvGetSize(img), 8, 1 );
CvMemStorage* storage = cvCreateMemStorage(0);
while( key != 'q' ) {
img = cvQueryFrame( capture );
if( !img ) break;
cvCvtColor( img, gray, CV_BGR2GRAY );
cvSmooth( gray, gray, CV_GAUSSIAN, 5, 5 );
CvSeq* circles = cvHoughCircles( gray, storage, CV_HOUGH_GRADIENT, 2, >gray->height/40, 200, 100/*, 20, 100*/ );
int i;
for( i = 0; i < circles->total; i++ )
{
float* p = (float*)cvGetSeqElem( circles, i );
cvCircle( img, cvPoint(cvRound(p[0]),cvRound(p[1])), cvRound(p[2]), >CV_RGB(50,255,30), 5, 8, 0 );
cvPutText(img, "CIRCLE",cvPoint(cvRound(p[0]+45),cvRound(p[1]+45)), &font, >CV_RGB(50,10,255));
if ( circles ) {
execl("./1.sh", (char *)0);
}
}
cvShowImage( "result", img );
cvShowImage("gray", gray);
key = cvWaitKey( 1 );
}
// cvReleaseMemStorage(storage);
// cvReleaseImage(gray);
cvDestroyAllWindows();
cvDestroyWindow( "result" );
cvReleaseCapture( &capture );
return 0;
}
I used codeblocks on ubuntu.
After exec*, none of the code (in that process) will be reached. You can fork, exec if you want the program to continue without waiting for the script to complete, otherwise add a wait. Alternatively, you could use system or popen.
Examples:
example function to fork a command and wait:
#include <unistd.h>
/*as a macro*/
#define FORK_EXEC_WAIT(a) ({int s,p;if((p=fork())==0) \
{execvp(a[0],a);}else{while(wait(&s)!= p);}})
/*as a function*/
void fork_exec_wait(char** a) {
int s,p;
if((p=fork())==0){
execvp(a[0],a);
}else{
while(wait(&s)!= p);
}
}
to fork a command and continue
#include <unistd.h>
/*as a macro*/
#define FORK_EXEC(a) ({if((fork())==0) execvp(a[0],a);})
/*as a function*/
void fork_exec(char** a) {
int s,p;
if((p=fork())==0)
execvp(a[0],a);
}
the system command is ~ fork-exec-wait of "sh -c command args"
#include <stdlib.h>
system("command args");
the popen command is similar without the sh -c and will give you the output as a stream (think pipes, fifo, etc)
#include <stdio.h>
FILE *fp;
fp = popen("command args", "r");
...
pclose(fp);