Define CV NO BACKWARD COMPATIBILITY

#define CV_NO_BACKWARD_COMPATIBILITY#include "cv.h" #include "highgui.h"#include <fstream> #include <iostream> #include <cstdio> #include <cassert> #include <vector> using namespace std; using namespace cv; int RectDetect(int ROI_x, int ROI_y, int ROI_height, int ROI_width, int found_x, int found_y, int found_height, int found_width); int main( int argc, const char** argv ) {IplImage *current_image; IplImage *draw_image; IplImage *gray_image; IplImage *small_image; const int scale = 1; const char *WINDOW_NAME = "Video Camera";//Hard coded regions of interest (parking spaces) int dummy = 0; //currently all work on the image is scaled by 2 so ROIs are based on 1/2 the resolution of the original image int spot1 = 0; int spot1x = 140; int spot1y = 160; int spot1height = 55; int spot1width = 55; int spot2 = 0; int spot2x = 230; int spot2y = 160; int spot2height = 55; int spot2width = 55; int spot3 = 0; int spot3x = 320; int spot3y = 160; int spot3height = 55; int spot3width = 65; int spot4 = 0; int spot4x = 420; int spot4y = 160; int spot4height = 55; int spot4width = 60; int spot5 = 0; int spot5x = 100; int spot5y = 290; int spot5height = 70; int spot5width = 60; int spot6 = 0; int spot6x = 200; int spot6y = 290; int spot6height = 70; int spot6width = 80; int spot7 = 0; int spot7x = 320; int spot7y = 290; int spot7height = 70; int spot7width = 70; int spot8 = 0; int spot8x = 440; int spot8y = 290; int spot8height = 70; int spot8width = 70;//Read in a cascade xml file and allocate memory //const char *CASCADE_NAME = "C:/OpenCV2.0/data/haarcascades/haarcascade_frontalface_default.xml"; const char *CASCADE_NAME = "C:/OpenCV2.0/data/haarcascades/windshield.xml"; CvHaarClassifierCascade *cascade = (CvHaarClassifierCascade *) cvLoad(CASCADE_NAME, 0, 0, 0); CvMemStorage *storage = cvCreateMemStorage(0); assert(storage); if(!cascade) { cout << "Fail"; system("pause"); } //video stream location CvCapture *capture = cvCreateFileCapture("http://192.168.1.2/video2.mjpg");//Capture an image current_image = cvQueryFrame(capture);//image setup for processing: Original -> BW original -> BW scaled draw_image = cvCreateImage(cvSize(current_image->width, current_image- >height), IPL_DEPTH_8U, 3); gray_image = cvCreateImage(cvSize(current_image->width, current_image- >height), IPL_DEPTH_8U, 1); small_image = cvCreateImage(cvSize(current_image->width / scale, current_image->height / scale), IPL_DEPTH_8U, 1); assert(current_image && gray_image && draw_image);//Uncomment the while loop to continually grab a new image and run detection while(current_image = cvQueryFrame(capture)) { cvCvtColor(current_image, gray_image, CV_BGR2GRAY); cvResize(gray_image, small_image, CV_INTER_LINEAR);CvSeq *cars = cvHaarDetectObjects(small_image, cascade, storage, 1.1, 2, CV_HAAR_DO_CANNY_PRUNING, cvSize(30, 30)); cvFlip(current_image, draw_image, 1); for(int i = 0; i < (cars ? cars->total : 0); i++) { cout << "cars: " << cars->total << endl;//draw circle around detected object (set up currently for face detection)change to rect for cars CvRect *r = (CvRect *) cvGetSeqElem(cars, i); cout << "X: " << r->x << " Y: " << r->y << " Height: " << r->height << " Width: " << r->width << endl;//THIS IS WHERE ROI AND COMPARING GO if (spot1 == 0){ dummy = RectDetect(spot1x, spot1y, spot1height, spot1width, r->x, r->y, r->height, r->height); if (dummy == 1) spot1 = 1; } if (spot2 == 0){ dummy = RectDetect(spot2x, spot2y, spot2height, spot2width, r->x, r->y, r->height, r->height); if (dummy == 1) spot2 = 1; } if (spot3 == 0){ dummy = RectDetect(spot3x, spot3y, spot3height, spot3width, r->x, r->y, r->height, r->height); if (dummy == 1) spot3 = 1; } if (spot4 == 0){ dummy = RectDetect(spot4x, spot4y, spot4height, spot4width, r->x, r->y, r->height, r->height); if (dummy == 1) spot4 = 1; } if (spot5 == 0){ dummy = RectDetect(spot5x, spot5y, spot5height, spot5width, r->x, r->y, r->height, r->height); if (dummy == 1) spot5 = 1; } if (spot6 == 0){ dummy = RectDetect(spot6x, spot6y, spot6height, spot6width, r->x, r->y, r->height, r->height); if (dummy == 1) spot6 = 1; } if (spot7 == 0){ dummy = RectDetect(spot7x, spot7y, spot7height, spot7width, r->x, r->y, r->height, r->height); if (dummy == 1) spot7 = 1; } if (spot8 == 0){ dummy = RectDetect(spot8x, spot8y, spot8height, spot8width, r->x, r->y, r->height, r->height); if (dummy == 1) spot8 = 1; }CvPoint center; int radius; center.x = cvRound((small_image->width - r->width * 0.5 - r->x) * scale); center.y = cvRound((r->y + r->height * 0.5) * scale); radius = cvRound((r->width + r->height) * 0.25 * scale); cvCircle(draw_image, center, radius, CV_RGB(0, 255, 0), 3, 8, 0);} ofstream Parking_a; Parking_a.open("C:\\inetpub\\wwwroot\\parking_a.csv"); Parking_a <<"1," << spot1 << endl; Parking_a <<"2," << spot2 << endl; Parking_a <<"3," << spot3 << endl; Parking_a <<"4," << spot4 << endl; Parking_a <<"5," << spot5 << endl; Parking_a <<"6," << spot6 << endl; Parking_a <<"7," << spot7 << endl; Parking_a <<"8," << spot8 << endl; Parking_a.close(); spot1 = 0; spot2 = 0; spot3 = 0; spot4 = 0; spot5 = 0; spot6 = 0; spot7 = 0; spot8 = 0; //cvWaitKey is in ms and controls the speed at which the loop runs (higher number less cpu power needed) cvShowImage(WINDOW_NAME, draw_image); int key = cvWaitKey(1); if (key == 'q' || key == 'Q') break;//While loop's close bracket } system("pause"); return 0; } int RectDetect(int ROI_x, int ROI_y, int ROI_height, int ROI_width, int found_x, int found_y, int found_height, int found_width) { int i = 0; int j = 0; int hit = 0;/* int ROI_x = 10; int ROI_y = 10; int ROI_height = 10; int ROI_width = 10;//Dynamically allocation of 2d Arrays int **ROI_Rec_x; ROI_Rec_x = new int* [ROI_width + 1]; for (i = 0; i < ROI_width + 1; i++){ ROI_Rec_x[i] = new int [ROI_height +1]; } int **ROI_Rec_y; ROI_Rec_y = new int* [ROI_width + 1]; for (i = 0; i < ROI_width + 1; i++){ ROI_Rec_y[i] = new int [ROI_height +1]; } int ROI_Rec_x[ROI_width + 1][ROI_height + 1]; int ROI_Rec_y[ROI_width + 1][ROI_height + 1]; int found_x = 15; int found_y = 15; int found_height = 10; int found_width = 10; int **found_Rec_x; found_Rec_x = new int* [found_width + 1]; for (i = 0; i < found_width + 1; i++){ found_Rec_x[i] = new int [found_height +1]; } int **found_Rec_y; found_Rec_y = new int* [found_width + 1]; for (i = 0; i < found_width + 1; i++){ found_Rec_y[i] = new int [found_height +1]; } int found_Rec_X[found_width + 1][found_height + 1]; int found_Rec_Y[found_width + 1][found_height + 1];// build original_Rec while (i <= ROI_width) { //cout << "i = " < i = 0; j = 0;// build found_Rec while (i <= found_width) { //cout << "i = " << i + ROI_x << endl; while (j <= found_height) { //cout << "j = " << j + ROI_y << endl; found_Rec_x[i][j] = i + found_x; found_Rec_y[i][j] = j + found_y; //cout << found_Rec_Y[i][j] << endl; j++; } i++; j = 0; } */ int ROI_max_x = ROI_x + ROI_width; int ROI_min_x = ROI_x; int found_max_x = found_x + found_width; int found_min_x = found_x; int ROI_max_y = ROI_y + ROI_height; int ROI_min_y = ROI_y; int found_max_y = found_y + found_height; int found_min_y = found_y; if ((found_min_x <= ROI_max_x && found_min_x >= ROI_min_x) || (found_max_x <= ROI_max_x && found_max_x >= ROI_min_x)) { if ((found_min_y <= ROI_max_y && found_min_y >= ROI_min_y) || (found_max_y <= ROI_max_y && found_max_y >= ROI_min_y)) { hit = 1; } } if ((ROI_min_x <= found_max_x && ROI_min_x >= found_min_x) || (ROI_max_x <= found_max_x && ROI_max_x >= found_min_x)) { if ((ROI_min_y <= found_max_y && ROI_min_y >= found_min_y) || (ROI_max_y <= found_max_y && ROI_max_y >= found_min_y)) { hit = 1; } } /* //Deallocation for( int i = ROI_width - 1; i >= 0; i-- ) delete [ ] ROI_Rec_x[ i ]; delete [ ] ROI_Rec_x; for( int i = ROI_width - 1; i >= 0; i-- ) delete [ ] ROI_Rec_y[ i ]; delete [ ] ROI_Rec_y; for( int i = found_width - 1; i >= 0; i-- ) delete [ ] found_Rec_x[ i ]; delete [ ] found_Rec_x; for( int i = found_width - 1; i >= 0; i-- ) delete [ ] found_Rec_y[ i ]; delete [ ] found_Rec_y; */ if (hit == 1) { cout << "Hit" << endl; return 1; } cout << "Miss" << endl; return 0; }

Define CV NO BACKWARD COMPATIBILITY

Details

Download

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

Support