include<iostream>
include<cv.h>
include<opencv2 core="" core.hpp="">
include<opencv2 highgui="" highgui.hpp="">
include<opencv2 imgproc="" imgproc.hpp="">
include<stdio.h>
include<math.h>
using namespace cv; using namespace std;
define CLS()
//printf("\033 [H\033[2J"); //fflush(stdout); typedef struct {
Point sum; Point sum_abs; Point av_sum; Point av_abs; float av_angle; int n; } LineStruct;
float calcAngle(Point delta) { float angle; if(delta.y !=0) angle =(float)atan(((double)delta.x/ -(double)delta.y)); else angle =CV_PI/2; return angle; } void setLabel(Mat& dst, string label, vector& contour) { int fontface = FONT_HERSHEY_PLAIN; double scale =0.5; int thickness =1; int baseline =0; //char text[50]; Size text = getTextSize(label, fontface, scale, thickness, &baseline); Rect r = boundingRect(contour); //putText(im, label, fontFace, fontScale, CV_RGB(0,0,0), thickness, 8);//char screenshot[50]; //int screenshot_counter =0; //putText(cdst, text, label, fontface, scale, Scalar(0,255,0), thickness, 8); } int main(int agrc, char * argv[1]) { CvCapture* capture =0; capture =cvCreateFileCapture(argv[1]); if (!capture) { return -1; } IplImage bgr_frame=cvQueryFrame(capture); CvSize size =cvSize((int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_WIDTH),(int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_HEIGHT)); IplImage pgm_frame= cvCreateImage(size,IPL_DEPTH_8U,1); int frame_count=0; int frames =(int) cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_COUNT);
//char text[50]; //int fontFace = FONT_HERSHEY_PLAIN; //double fontScale =1; //int thickness =1; char screenshot[50]; int screenshot_counter =0; while( (bgr_frame=cvQueryFrame(capture)) !=NULL) { frame_count++; if(frame_count==frames-1) { cvSetCaptureProperty(capture,CV_CAP_PROP_POS_FRAMES,0); frame_count=0; } cvConvertImage(bgr_frame, pgm_frame,0); Mat gray=pgm_frame; Mat dst = bgr_frame; GaussianBlur( gray, gray,Size(9,9), 2,2); Canny (gray, gray, 50, 200,3); vector<vector<point> >contours; findContours(gray.clone(),contours,CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE); vector<point>approx; //Mat dst = bgr_frame.clone(); for (int i=0;i< contours.size(); i++) { approxPolyDP(Mat(contours[i]),approx, arcLength(cv::Mat(contours[i]),true)* 0.02,true); if(fabs(contourArea(contours[i]))<100 || ! isContourConvex(approx)) //{ continue; //}
if(approx.size() >= 4 && approx.size() >6) {
printf("circle Detection\n"); double area =contourArea(contours[i]); Rect r= boundingRect(contours[i]); int radius =r.width/2; if (abs(1-((double)r.width/r.height))<= 0.2 && abs(1-(area/(CV_PI * pow(radius,2))))<= 0.2) { setLabel(dst, "CIR", contours[i]); } } }
Point circle_center; circle(dst, Point(size.width/2,size.height/2),4,Scalar(255,0,0),-1,8,0); CLS(); if ((!pgm_frame)||(!bgr_frame)) break; cvShowImage("Edges",pgm_frame); cvShowImage("Result",bgr_frame); imshow("Detected Lines", dst); char c= cvWaitKey(33); if(c=='p')
{ c=0; while(1) { c =cvWaitKey(33); if (c=='p') break; if (c==27) break; if (c=='s') { sprintf(screenshot,"screenshot %d.jpg", screenshot_counter); imwrite(screenshot, dst); screenshot_counter++; } } } if (c==27) break; if(c=='s') { sprintf(screenshot,"Screenshot%d.jpg", screenshot_counter); imwrite(screenshot,dst); screenshot_counter++; } } cvReleaseImage(&bgr_frame); cvReleaseImage(&pgm_frame); cvReleaseCapture(&capture); cvDestroyWindow("Edges"); cvDestroyWindow("Result"); cvDestroyWindow("Detected Lines"); return 0; }
But it showing some error, i tried a lot to find out according Opencv Tutorial, but couldn't. The error are as follows,
circle_detect.cpp:34:39: error: ‘vector’ is not a type circle_detect.cpp: In function ‘int main(int, char**)’: circle_detect.cpp:101:40: error: invalid initialization of reference of type ‘int&’ from expression of type ‘std::vector<cv::point_<int> >’ circle_detect.cpp:34:6: error: in passing argument 3 of ‘void setLabel(cv::Mat&, std::string, int&)’
