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Obje takibi taslak

#include <iostream>

#include <iomanip>

#include <cv.h>

#include <highgui.h>

#include <cvblob.h>

using namespace cvb;

int main()

{

CvTracks tracks;

cvNamedWindow("red_object_tracking", CV_WINDOW_AUTOSIZE); /* pencereyi oluşturduk*/

CvCapture *capture = cvCaptureFromCAM(0); /* webcamden görüntü almaya başlıyoruz */

cvGrabFrame(capture);

IplImage *img = cvRetrieveFrame(capture); /* aldığımız frameleri img değişkenine atıyoruz */

CvSize imgSize = cvGetSize(img);

IplImage *frame = cvCreateImage(imgSize, img->depth, img->nChannels);

IplConvKernel* morphKernel = cvCreateStructuringElementEx(5, 5, 1, 1, CV_SHAPE_RECT, NULL);

//unsigned int frameNumber = 0;

unsigned int blobNumber = 0;

bool quit = false;

/* Aşağıdaki döngünün sebebi eğer frame alamazsak, işlenecek bir şey olmayacağından program durdurmak */

while (!quit&&cvGrabFrame(capture))

{

IplImage *img = cvRetrieveFrame(capture);

cvConvertScale(img, frame, 1, 0);

IplImage *segmentated = cvCreateImage(imgSize, 8, 1);

/*Burada kırmızı pixelleri tespit edeceğiz

for (int j=0; j<imgSize.height; j++)

for (int i=0; i<imgSize.width; i++)

{

CvScalar c = cvGet2D(frame, j, i);

double b = ((double)c.val[0])/255.;

double g = ((double)c.val[1])/255.;

double r = ((double)c.val[2])/255.;

unsigned char f = 255*((r>0.2+g)&&(r>0.2+b));

cvSet2D(segmentated, j, i, CV_RGB(f, f, f));

}

cvMorphologyEx(segmentated, segmentated, NULL, morphKernel, CV_MOP_OPEN, 1);

IplImage *labelImg = cvCreateImage(cvGetSize(frame), IPL_DEPTH_LABEL, 1);

/* labeling yaptığımız kısım.*/

CvBlobs blobs;

unsigned int result = cvLabel(segmentated, labelImg, blobs);

cvFilterByArea(blobs, 250, 1000000);

cvRenderBlobs(labelImg, blobs, frame, frame, CV_BLOB_RENDER_BOUNDING_BOX);

cvUpdateTracks(blobs, tracks, 200., 5);

cvRenderTracks(tracks, frame, frame, CV_TRACK_RENDER_ID|CV_TRACK_RENDER_BOUNDING_BOX);

cvShowImage("red_object_tracking", frame);

filename << "redobject_" << std::setw(5) << std::setfill('0') << frameNumber << ".png";

cvSaveImage(filename.str().c_str(), frame);*/

cvReleaseImage(&labelImg);

cvReleaseImage(&segmentated);

/* Aşağıdaki kısım ise kullanıcıya programdan nasıl çıkacağını gösteriyor. */

char k = cvWaitKey(10)&0xff;

switch (k)

{

case 27:

case 'q':

case 'Q':

quit = true;

break;

case 's':

case 'S':

for (CvBlobs::const_iterator it=blobs.begin(); it!=blobs.end(); ++it)

{

std::stringstream filename;

filename << "redobject_blob_" << std::setw(5) << std::setfill('0') << blobNumber << ".png";

cvSaveImageBlob(filename.str().c_str(), img, it->second);

blobNumber++;

std::cout << filename.str() << " saved!" << std::endl;

}

break;

}

cvReleaseBlobs(blobs);

}

cvReleaseStructuringElement(&morphKernel);

cvReleaseImage(&frame);

cvDestroyWindow("red_object_tracking");

return 0;

}

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Taslak

#include <stdlib.h>

#include <stdio.h>

#include <math.h>

#include <string.h>

#include <opencv2/opencv.hpp>

#include <opencv2/highgui/highgui.hpp>

#include <iostream>

using namespace std;

int drag=0;

int x,y;

int click=0;

int numoflines=0;

int key=0;

CvPoint point[100];

IplImage* img = cvLoadImage("/home/umuttugrahan/Masaüstü/white.jpg");

IplImage* img2 = cvCloneImage(img);

CvContour* contourFromPosition(CvContour *contours, int x, int y);

char pointIsInsideContour(CvContour *contour, int x, int y);

void cvMouseHandler(int event,int x,int y, int flags, void* param)

{

if(event==CV_EVENT_LBUTTONDOWN && !drag)

{

click=1;

point[numoflines]=cvPoint(x,y);

drag=1;

numoflines ++;

}

if(click==0)

{

return;

}

if(event==CV_EVENT_MOUSEMOVE )

{

for(int i = 0; i < numoflines-1; i++)

{

cvLine(img2,point[i],point[i+1],cvScalar(255,255,0),2,8,0);

}

drag=0;

}

CvContour* contourFromPosition(CvContour *contours, int x, int y){

CvContour *contour; //This will point to a single contour.

CvContour *tmpContour=0, *output=0; //Two more pointers, first a temporary contour and the final output.

if(!contours)return 0; //Don't bother doing anything if there are no contours.

contour = contours; //Now contour points to the first contour in the list

while(contour){ //We loop through the list of contours...

if(pointIsInsideContour(contour, x, y)){ //Check to see if the point the user clicked on is inside the current contour, if yes...

output = contour; //Since the point is inside the contour, set the output accordingly.

//We now need to check all the contours inside the one we are processing. We go down one level by following the v_next (vertical next) pointer in the

//CvSeq/CvContour structure. From then, we recurse into this function to go through all the contours.

if(contour->v_next){

//It's possible that this will return a null pointer, so we store the results in a temporary pointer...

tmpContour = contourFromPosition((CvContour *)contour->v_next,x,y);

//and only update the output if the pointer is valid.

if(tmpContour)output = tmpContour;

//At this point, because the sequence is organized as a tree, we know that output points to the inner-most contour, which is what we want.

}

//Once we're done with this contour, we need to move to the following contour that's not included in the one we just processed.

//This is pointed to by the h_next (horizontal next) pointer.

contour = (CvContour *)(contour->h_next);

}

return output;

}

char pointIsInsideContour(CvContour *contour, int x, int y){

//We know that a point is inside a contour if we can find one point in the contour that is immediately to the left,

//one that is immediately on top, one that is immediately to the right and one that is immediately below the (x,y) point.

//We will update the boolean variables below when these are found:

char found_left=0, found_top=0, found_right=0, found_bottom=0;

int count, i; //Variables used for iteration

CvPoint *contourPoint; //A pointer to a single contour poit.

if(!contour)return 0; //Don't bother doing anything if there is no contour.

count = contour->total; //The total field holds the number of points in the contour.

for(i=0;i<count;i++){ //So, for every point in the contour...

//We retrieve a pointer to the point at index i using the useful macro CV_GET_SEQ_ELEM

contourPoint = (CvPoint *)CV_GET_SEQ_ELEM(CvPoint,contour,i);

if(contourPoint->x == x){ //If the point is on the same vertical plane as (x,y)...

if(contourPoint->y < y)found_top = 1; //and is above (x,y), we found the top.

else found_bottom = 1; //Otherwise, it's the bottom.

}

if(contourPoint->y == y){ //Do the same thing for the horizontal axis...

if(contourPoint->x < x)found_left = 1;

else found_right = 1;

}

return found_left && found_top && found_right && found_bottom; //Did we find all four points?

}

int main(int argc, const char *argv[])

{

int thresh1=120, thresh2=120;

IplImage *small_image = cvCreateImage(cvGetSize(img2),IPL_DEPTH_8U,3);

IplImage *small_grey_image = cvCreateImage(cvGetSize(small_image), IPL_DEPTH_8U, 1);

IplImage *edge_image = cvCreateImage(cvGetSize(small_image), IPL_DEPTH_8U, 1);

CvMemStorage *storage = cvCreateMemStorage(0);

CvSeq *contours = 0;

while( key != 'q' )

{

cvSetMouseCallback("img2", cvMouseHandler, NULL);

cvResize(img2,small_image, CV_INTER_LINEAR);

cvCvtColor(small_image, small_grey_image, CV_RGB2GRAY);

cvCanny(small_grey_image, edge_image, (double)thresh1, (double)thresh2, 3);

cvShowImage("img2332",edge_image);

cvDilate(edge_image, small_grey_image, 0, 1);

cvFindContours(small_grey_image, storage, &contours, sizeof(CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_NONE, cvPoint(0,0));

cvDrawContours(small_image, contours, CV_RGB(255,0,0), CV_RGB(254,0,0), 10, 1, CV_AA, cvPoint(0,0));

cvShowImage("img2", small_image);

key = cvWaitKey( 1 );

}

cvDestroyAllWindows();

cvReleaseMemStorage(&storage);

cvReleaseImage(&small_image);

cvReleaseImage(&small_grey_image);

cvReleaseImage(&edge_image);

return 0;

}

How to Add OpenCV and CvBlob Libraries to Eclipse

Start Eclipse.

Go to File->New->C++ Project

Choose a name. For example i named my project "umuttugrahan"

Press finish.

Then you can see your project at "Project Explorer"

Right click to your project file. New->Folder

We gotta name our folder "src". Don't forget it

Right click to "src" folder. Then create source file. I named my source file "umuttugrahan.cpp"

Now we're in our source file.

Let's start to add cvblob library.

Go Project->Properties

In C/C++ Build choose "Settings". And then choose "Includes" from GCC C++ Compiler.

Now, we're gonna add include paths

1-/usr/local/include

2-/usr/local/include/opencv

Go GCC C++ Linker

We must add library path and libraries.

Our library path /usr/local/lib

Now, adding libraries

We gotta write this libraries to libraries part

opencv_core

opencv_imgproc

opencv_highgui

opencv_ml

opencv_video

opencv_features2d

opencv_calib3d

opencv_objdetect

opencv_contrib

opencv_legacy

opencv_flann

cvblob

Now we are done.

Come back to source file. In this post "umuttugrahan.cpp"

#include<iostream>

#include<iomanip>

#if (defined(_WIN32) || defined(__WIN32__) || defined(__TOS_WIN__) || defined(__WINDOWS__) || (defined(__APPLE__) & defined(__MACH__)))

#include<cv.h>

#include<highgui.h>

#else

#include<opencv/cv.h>

#include<opencv/highgui.h>

#endif

#include<cvblob.h>

using namespace cvb;

int main()

{

CvTracks tracks;

cvNamedWindow("red_object_tracking", CV_WINDOW_AUTOSIZE);

CvCapture *capture = cvCaptureFromCAM(0);

cvGrabFrame(capture);

IplImage *img = cvRetrieveFrame(capture);

CvSize imgSize = cvGetSize(img);

IplImage *frame = cvCreateImage(imgSize, img->depth, img->nChannels);

IplConvKernel* morphKernel = cvCreateStructuringElementEx(5, 5, 1, 1, CV_SHAPE_RECT, NULL);

//unsigned int frameNumber = 0;

unsigned int blobNumber = 0;

bool quit = false;

while (!quit&&cvGrabFrame(capture))

{

IplImage *img = cvRetrieveFrame(capture);

cvConvertScale(img, frame, 1, 0);

IplImage *segmentated = cvCreateImage(imgSize, 8, 1);

// Detecting red pixels:

// (This is very slow, use direct access better...)

for (int j=0; j<imgSize.height; j++)

for (int i=0; i<imgSize.width; i++)

{

CvScalar c = cvGet2D(frame, j, i);

double b = ((double)c.val[0])/255.;

double g = ((double)c.val[1])/255.;

double r = ((double)c.val[2])/255.;

unsigned char f = 255*((r>0.2+g)&&(r>0.2+b));

cvSet2D(segmentated, j, i, CV_RGB(f, f, f));

}

cvMorphologyEx(segmentated, segmentated, NULL, morphKernel, CV_MOP_OPEN, 1);

//cvShowImage("segmentated", segmentated);

IplImage *labelImg = cvCreateImage(cvGetSize(frame), IPL_DEPTH_LABEL, 1);

CvBlobs blobs;

unsignedint result = cvLabel(segmentated, labelImg, blobs);

cvFilterByArea(blobs, 250, 1000000);

cvRenderBlobs(labelImg, blobs, frame, frame, CV_BLOB_RENDER_BOUNDING_BOX);

cvUpdateTracks(blobs, tracks, 200., 5);

cvRenderTracks(tracks, frame, frame, CV_TRACK_RENDER_ID|CV_TRACK_RENDER_BOUNDING_BOX);

cvShowImage("red_object_tracking", frame);

/*std::stringstream filename;

filename << "redobject_" << std::setw(5) << std::setfill('0') << frameNumber << ".png";

cvSaveImage(filename.str().c_str(), frame);*/

cvReleaseImage(&labelImg);

cvReleaseImage(&segmentated);

char k = cvWaitKey(10)&0xff;

switch (k)

{

case 27:

case'q':

case'Q':

quit = true;

break;

case's':

case'S':

for (CvBlobs::const_iterator it=blobs.begin(); it!=blobs.end(); ++it)

{

std::stringstream filename;

filename << "redobject_blob_" << std::setw(5) << std::setfill('0') << blobNumber << ".png";

cvSaveImageBlob(filename.str().c_str(), img, it->second);

blobNumber++;

std::cout << filename.str() << " saved!" << std::endl;

}

break;

}

cvReleaseBlobs(blobs);

//frameNumber++;

}

cvReleaseStructuringElement(&morphKernel);

cvReleaseImage(&frame);

cvDestroyWindow("red_object_tracking");

return 0;

}

Build and Run this code. This is so great example for blob tracking using cvblob library.

#cvblob #opencv #c++#c #linux #eclipse

How to Add OpenCV 2.4.6 Libraries to Visual Studio 2012

Image 1

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Image 3

Image 4

Image 5

Image 6

Image 7

Image 8

Image 9

Image 10

Image 11

Image 12

Image 13

Image 14

The libraries that u gotta add at Image 8 like i show

opencv_calib3d246.lib opencv_contrib246.lib opencv_core246.lib opencv_features2d246.lib opencv_flann246.lib opencv_gpu246.lib opencv_haartraining_engine.lib opencv_highgui246.lib opencv_imgproc246.lib opencv_legacy246.lib opencv_ml246.lib opencv_nonfree246.lib opencv_objdetect246.lib opencv_photo246.lib opencv_stitching246.lib opencv_ts246.lib opencv_video246.lib opencv_videostab246.lib

Source Code at Image 10

#include <stdio.h>

#include <iostream>

#include "opencv2/core/core.hpp"

#include "opencv2/features2d/features2d.hpp"

#include "opencv2/highgui/highgui.hpp"

#include "opencv2/calib3d/calib3d.hpp"

using namespace cv;

using namespace std;

int main()

{

CvCapture* capture = cvCaptureFromCAM(0);

IplImage* frame;

while(1){

frame= cvQueryFrame(capture);

cvShowImage("umuttugrahan",frame);

int key = cvWaitKey(1);

if(key=='q') break;

}

cvReleaseCapture(&capture);

return 0;

}

Tüm anlatım bana aittir, her hangi bir adımdaki hata için [email protected]

You can ask me anything about that

[email protected]

#OpenCV #VisualStudio #C #C++#Programming #Language

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