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Vista-core-API/main.cpp

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// This demo will show you how the Vista-core-API can be used. It was test code I left for demonstration purposes
// so it hasn't been properely managed in any way. You'll see a lot of unecessary redundancy.
// The absolutely addresses to videos on my local machines directory should be replaced with your own.
// If you are using your own videos then make sure the input params to run are
// properly choosen. Details on what the input params should be are available in the carCounter.h file.
#include "main.h"
// Wrapper methods for creating instances of car counter and calling the run function on them.
// These can be threaded to make multiple instances of carCounters run at the same time.
// Ideally you should make a single wrapper capable of handing multiple params instead of creating
// multiple ones and defining the inputs to run() locally.
void runACounter1(int id){
char fileName[100] = "Standard_SCU3IU_2014-08-18_0700.002.avi";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 2;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(150,100);
cv::Point Sp4(250,100);
cv::Point Sp2(150,400);
cv::Point Sp3(250,400);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(300,80);
cv::Point Ep4(450,80);
cv::Point Ep2(300,180);
cv::Point Ep3(450,180);
cv::vector<cv::Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
cv::Point overlay1[1][4];
overlay1[0][0] = cv::Point( 0, 0 );
overlay1[0][1] = cv::Point( 0, 180 );
overlay1[0][2] = cv::Point( 580, 0 );
overlay1[0][3] = cv::Point( 580, 0 );
const cv::Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
cv::Point overlay2[1][4];
overlay2[0][0] = cv::Point( 0, 320 );
overlay2[0][1] = cv::Point( 0, 480 );
overlay2[0][2] = cv::Point( 720, 480);
overlay2[0][3] = cv::Point( 720, 0 );
const cv::Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(id,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
}
void runACounter2(int id){
char fileName[100] = "Standard_SCU3IP_2014-10-21_0830.023.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 100;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(200,250);
cv::Point Sp4(600,250);
cv::Point Sp2(200,300);
cv::Point Sp3(600,300);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(300,375);
cv::Point Ep4(700,375);
cv::Point Ep2(300,425);
cv::Point Ep3(700,425);
cv::vector<cv::Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
cv::Point overlay1[1][4];
overlay1[0][0] = cv::Point( 0, 0 );
overlay1[0][1] = cv::Point( 0, 480 );
overlay1[0][2] = cv::Point( 320, 480);
overlay1[0][3] = cv::Point( 30, 0 );
const cv::Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
cv::Point overlay2[1][4];
overlay2[0][0] = cv::Point( 40, 0 );
overlay2[0][1] = cv::Point( 720, 380 );
overlay2[0][2] = cv::Point( 720, 380 );
overlay2[0][3] = cv::Point( 720, 0 );
const cv::Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(7,true);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
}
void runACounter3(int id){
char fileName[100] = "Standard_SCU3IP_2014-10-21_0830.010.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 100;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(200,250);
cv::Point Sp4(600,250);
cv::Point Sp2(200,300);
cv::Point Sp3(600,300);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(200,325);
cv::Point Ep4(600,325);
cv::Point Ep2(200,375);
cv::Point Ep3(600,375);
cv::vector<cv::Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
cv::Point overlay1[1][4];
overlay1[0][0] = cv::Point( 0, 0 );
overlay1[0][1] = cv::Point( 0, 480 );
overlay1[0][2] = cv::Point( 320, 480);
overlay1[0][3] = cv::Point( 30, 0 );
const cv::Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
cv::Point overlay2[1][4];
overlay2[0][0] = cv::Point( 40, 0 );
overlay2[0][1] = cv::Point( 720, 400 );
overlay2[0][2] = cv::Point( 720, 400 );
overlay2[0][3] = cv::Point( 720, 0 );
const cv::Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(6,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
}
void runACounter4(int id){
char fileName[100] = "Standard_SCU3IS_2014-10-21_0930.012.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(100,325);
cv::Point Sp4(400,325);
cv::Point Sp2(100,375);
cv::Point Sp3(400,375);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(100,250);
cv::Point Ep4(400,250);
cv::Point Ep2(100,300);
cv::Point Ep3(400,300);
cv::vector<cv::Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
cv::Point overlay1[1][4];
overlay1[0][0] = cv::Point( 0, 0 );
overlay1[0][1] = cv::Point( 0, 480 );
overlay1[0][2] = cv::Point( 0, 480);
overlay1[0][3] = cv::Point( 370, 0 );
const cv::Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
cv::Point overlay2[1][4];
overlay2[0][0] = cv::Point( 410, 0 );
overlay2[0][1] = cv::Point( 480, 480 );
overlay2[0][2] = cv::Point( 720, 480 );
overlay2[0][3] = cv::Point( 720, 0 );
const cv::Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(8,true);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
}
int main()
{
using namespace cv;
int runTest = 1;
// User Prompt
std::cout << "CTDOT CARCOUNTER DEMO: \n";
std::cout << "This a simple demo application using the CTDOT car counting API. \n\n";
std::cout << "Note: Feel free to play around with the runWrapper file to get an idea for how to use this API. \n\n";
std::cout << "The following test runs are available: \n";
std::cout << "1: Day Time/Going away from camera/Multithreaded \n";
std::cout << "2: Night Time/Going towards camera/Uconn/Before Intersection \n";
std::cout << "3: Day Time/Going towards camera/Uconn/After Intersection \n";
std::cout << "4: Night Time/Going towards camera/Uconn/After Intersection \n";
std::cout << "5: Night Time/Going away from camera/Uconn/Before Intersection \n";
std::cout << "6: Day Time/Going away from camera/Uconn/Before Intersection \n";
std::cout << "7: Day Time/Parallel/Highway/Shaky \n";
std::cout << "8: Day to Night Time/Going towards camera/Uconn/After Intersection \n";
std::cout << "9: Day to Night Time/Going towards camera/4-way intersection \n";
std::cout << "10: Day Time/Going away from camera/4-way intersection \n";
std::cout << "11: Day Time/Parallel/Highway/Stable \n";
std::cout << "Select (1-11): ";
std::cin >> runTest;
// TEST1: Day Time/Going away from camera/Multithreaded
if(runTest == 1)
{
std::thread thread1(runACounter1,1);
std::thread thread2(runACounter2,2);
std::thread thread3(runACounter3,3);
std::thread thread4(runACounter4,4);
thread1.detach();
thread2.detach();
thread3.detach();
thread4.detach();
while(true);
}
// TEST2: Night Time/Going towards camera/Uconn/Before Intersection
if (runTest == 2){
char fileName[100] = "Standard_SCU3JD_2014-10-21_0845.012.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(300,250);
cv::Point Sp4(600,250);
cv::Point Sp2(300,300);
cv::Point Sp3(600,300);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(300,325);
cv::Point Ep4(600,325);
cv::Point Ep2(300,375);
cv::Point Ep3(600,375);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 480 );
overlay1[0][2] = Point( 320, 480);
overlay1[0][3] = Point( 240, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 230, 0 );
overlay2[0][1] = Point( 720, 400 );
overlay2[0][2] = Point( 720, 400 );
overlay2[0][3] = Point( 720, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(5,true);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST3: Day Time/Going towards camera/Uconn/After Intersection
} if(runTest == 3) {
char fileName[100] = "Standard_SCU3IP_2014-10-21_0830.010.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 100;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(200,250);
cv::Point Sp4(600,250);
cv::Point Sp2(200,300);
cv::Point Sp3(600,300);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(200,325);
cv::Point Ep4(600,325);
cv::Point Ep2(200,375);
cv::Point Ep3(600,375);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 480 );
overlay1[0][2] = Point( 320, 480);
overlay1[0][3] = Point( 30, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 40, 0 );
overlay2[0][1] = Point( 720, 400 );
overlay2[0][2] = Point( 720, 400 );
overlay2[0][3] = Point( 720, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(6,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST4: Night Time/Going towards camera/Uconn/After Intersection
} if(runTest == 4) {
char fileName[100] = "Standard_SCU3IP_2014-10-21_0830.023.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 100;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(200,250);
cv::Point Sp4(600,250);
cv::Point Sp2(200,300);
cv::Point Sp3(600,300);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(300,375);
cv::Point Ep4(700,375);
cv::Point Ep2(300,425);
cv::Point Ep3(700,425);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 480 );
overlay1[0][2] = Point( 320, 480);
overlay1[0][3] = Point( 30, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 40, 0 );
overlay2[0][1] = Point( 720, 380 );
overlay2[0][2] = Point( 720, 380 );
overlay2[0][3] = Point( 720, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(7,true);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST5: Night Time/Going away from camera/Uconn/Before Intersection/ DOESN'T WORK.
} if(runTest == 5) {
char fileName[100] = "Standard_SCU3IS_2014-10-21_0930.012.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(100,325);
cv::Point Sp4(400,325);
cv::Point Sp2(100,375);
cv::Point Sp3(400,375);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(100,250);
cv::Point Ep4(400,250);
cv::Point Ep2(100,300);
cv::Point Ep3(400,300);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 480 );
overlay1[0][2] = Point( 0, 480);
overlay1[0][3] = Point( 370, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 410, 0 );
overlay2[0][1] = Point( 480, 480 );
overlay2[0][2] = Point( 720, 480 );
overlay2[0][3] = Point( 720, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(8,true);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST6: Day Time/Going away from camera/Uconn/Before Intersection
} if(runTest == 6) {
char fileName[100] = "Standard_SCU3IS_2014-10-21_0930.003.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 100;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(100,325);
cv::Point Sp4(500,325);
cv::Point Sp2(100,375);
cv::Point Sp3(500,375);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(100,150);
cv::Point Ep4(500,150);
cv::Point Ep2(100,200);
cv::Point Ep3(500,200);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 480 );
overlay1[0][2] = Point( 0, 480);
overlay1[0][3] = Point( 370, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 410, 0 );
overlay2[0][1] = Point( 480, 480 );
overlay2[0][2] = Point( 720, 480 );
overlay2[0][3] = Point( 720, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(9,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST7: Day Time/Parallel/Highway/Shaky
} if(runTest == 7) {
char fileName[100] = "Standard_SCU3JD_2014-07-30_0500.002.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 200;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 1000;
int fps = 30;
int expectedDist = 100;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
cv::Point Sp1(100,220);
cv::Point Sp4(150,220);
cv::Point Sp2(100,375);
cv::Point Sp3(150,375);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(300,220);
cv::Point Ep4(350,220);
cv::Point Ep2(300,375);
cv::Point Ep3(350,375);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 270 );
overlay1[0][2] = Point( 720, 270);
overlay1[0][3] = Point( 720, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 0, 300 );
overlay2[0][1] = Point( 0, 480 );
overlay2[0][2] = Point( 720, 480 );
overlay2[0][3] = Point( 720, 300 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(10,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST8: Day to Night Time/Going towards camera/Uconn/After Intersection
} if(runTest == 8) {
char fileName[100] = "Standard_SCU3IP_2014-10-21_0830.010.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 100;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(200,250);
cv::Point Sp4(600,250);
cv::Point Sp2(200,300);
cv::Point Sp3(600,300);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(300,375);
cv::Point Ep4(700,375);
cv::Point Ep2(300,425);
cv::Point Ep3(700,425);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 480 );
overlay1[0][2] = Point( 320, 480);
overlay1[0][3] = Point( 30, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 40, 0 );
overlay2[0][1] = Point( 720, 380 );
overlay2[0][2] = Point( 720, 380 );
overlay2[0][3] = Point( 720, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(11,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST9: Day to Night Time/Going towards camera/4-way intersection/
} if(runTest == 9) {
char fileName[100] = "Standard_SCU3IU_2015-01-08_1600.002.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 200;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 1000;
int fps = 30;
int expectedDist = 100;
int horizontalBandwidth = 50;
int nmixtures = 5;
double backgroundratio = .6;
cv::Point Sp1(20,220);
cv::Point Sp4(60,220);
cv::Point Sp2(20,375);
cv::Point Sp3(60,375);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(70,190);
cv::Point Ep4(110,190);
cv::Point Ep2(70,350);
cv::Point Ep3(110,350);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 0 );
overlay1[0][2] = Point( 0, 0 );
overlay1[0][3] = Point( 0, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 0, 0 );
overlay2[0][1] = Point( 0, 0 );
overlay2[0][2] = Point( 0, 0 );
overlay2[0][3] = Point( 0, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(12,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST10: Day Time/Going away from camera/4-way intersection/
} if(runTest == 10) {
char fileName[100] = "Standard_SCU026-R_2014-03-11_0700.002.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 3000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 100;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(200,200);
cv::Point Sp4(500,200);
cv::Point Sp2(200,300);
cv::Point Sp3(500,300);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(300,50);
cv::Point Ep4(700,50);
cv::Point Ep2(300,150);
cv::Point Ep3(700,150);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 0 );
overlay1[0][2] = Point( 0, 0 );
overlay1[0][3] = Point( 0, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 0, 0 );
overlay2[0][1] = Point( 0, 0 );
overlay2[0][2] = Point( 0, 0 );
overlay2[0][3] = Point( 0, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(13,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
// TEST11: Day Time/Parallel/Highway/Stable
} if(runTest == 11) {
char fileName[100] = "Standard_SCU3JD_2014-08-11_0000.016.mp4";
char saveImgTo[200] = "C:/Users/Vanya/Desktop/Car/";
char dataBase[200] = "C:/Users/Vanya/Desktop/car_count_db";
int bufferSize = 30;
int minObjectSizeDay = 5000;
int minObjectSizeNight = 10;
int skip = 3;
int learningTime = 240;
int fps = 30;
int expectedDist = 20;
int horizontalBandwidth = 100;
int nmixtures = 5;
double backgroundratio = .6;
bool detectShadows = false;
bool online = true;
cv::Point Sp1(50,100);
cv::Point Sp4(200,100);
cv::Point Sp2(50,400);
cv::Point Sp3(200,400);
cv::vector<cv::Point> startRegion;
startRegion.push_back(Sp1);
startRegion.push_back(Sp2);
startRegion.push_back(Sp3);
startRegion.push_back(Sp4);
cv::Point Ep1(400,100);
cv::Point Ep4(700,100);
cv::Point Ep2(400,400);
cv::Point Ep3(700,400);
vector<Point> endRegion;
endRegion.push_back(Ep1);
endRegion.push_back(Ep2);
endRegion.push_back(Ep3);
endRegion.push_back(Ep4);
Point overlay1[1][4];
overlay1[0][0] = Point( 0, 0 );
overlay1[0][1] = Point( 0, 0 );
overlay1[0][2] = Point( 0, 0 );
overlay1[0][3] = Point( 0, 0 );
const Point* ppt[1] = { overlay1[0] };
int npt[] = { 4 };
Point overlay2[1][4];
overlay2[0][0] = Point( 0, 0 );
overlay2[0][1] = Point( 0, 0 );
overlay2[0][2] = Point( 0, 0 );
overlay2[0][3] = Point( 0, 0 );
const Point* ppt2[1] = { overlay2[0] };
int npt2[] = { 4 };
carCounter CC(14,false);
CC.run(bufferSize,minObjectSizeDay,minObjectSizeNight,skip,learningTime,fileName,saveImgTo,dataBase,fps,expectedDist,horizontalBandwidth,RUN_ONLINE,
*ppt,*ppt2,npt,npt2,
USE_MOG2_ON,nmixtures,backgroundratio,
DETECT_SHADOWS_ON,SHOW_LAST_CAR_ON,SHOW_BOUNDBOX_ON,SHOW_PREDICTION_ON,SHOW_LATEST_PATHS_ON,SHOW_TRANSIT_LEDGER_ON,SHOW_REGION_MONITORS_ON,
SHOW_PATH_OF_CAR_X_OFF,USE_RESIZED_WITH_OVERLAYS_FRAME, startRegion, endRegion);
return 0;
}
}