void WayFinderApp::setup()
{
println("WayFinderApp started.");
// Load destinations from config file.
destinations = Destination::getDestinations();
if(destinations.size() == 0) {
println("No destinations found, check the config file.");
exit(EXIT_FAILURE);
}
println("Destinations loaded.");
// Initialized state.
spotlightRadius = (float)getWindowWidth() / 16.0f;
arrowLength = (float)min(getWindowWidth(), getWindowHeight()) / 2.0f;
spotlightCenter2D = Vec2f((float)getWindowWidth() / 2.0f, (float)getWindowHeight() / 2.0f);
spotlightCenter3D = Vec3f((float)getWindowWidth() / 2.0f, (float)getWindowHeight() / 2.0f, 0.0f);
detected = false;
//capture = Capture::create(WayFinderApp::WIDTH, WayFinderApp::HEIGHT);
capture = Capture::create(getWindowWidth(), getWindowHeight());
capture->start();
//bg.set("bShadowDetection", false);
bg.set("nmixtures", 3);
bg.setBool("detectShadows", true);
debugView = false;
}
int main(int argc, const char** argv) {
int persons = 1;
const bool recalibrate = true;
// read args
if (argc > 1)
persons = atoi(argv[1]);
// setup path to file
char* filepath;
filepath = "/home/charence/Workspace/biomotion-vision/images/set2/%d/10/frame%04d.jpg";
// is it my mac?
#ifdef MYMAC
filepath = "/Users/charence/Workspace/biomotion-vision/images/set2/%d/10/frame%04d.jpg";
#endif
// is it on doc?
#ifdef ONDOC
filepath = "/media/Charence500/Data/20121221/10/%d/frame%04d.jpg";
#endif
int start = 0;
int end = 2485;
switch(persons) {
case 1: end = 2485; break;
case 2: end = 3621; break;
case 3: end = 4489; break;
}
// setup background model
bgmodel.set("history", history);
bgmodel.set("varThreshold", varThreshold);
bgmodel.set("detectShadows", true);
// setup homography
if (recalibrate) {
}
else {
}
// setup tracker
pointTracker.setArguments(3.5, 50);
//cout << "ImageNum,ContourArea,RectCentreX,RectCentreY,RectAngle,RectWidth,RectHeight,CircCentreX,CircCentreY,Radius" << endl;
//cout << "ImageNum,ContourArea,CircCentreX,CircCentreY,Radius" << endl;
// process sequence
for (int i = start; i <= end; i++) {
if (i > 200)
i = 999; //1050; // 999; // 1050;*/
char filename [128];
sprintf(filename, filepath, persons, i);
//cout << "In: " << filename << endl;
imageNum = i;
// load image
cv::Mat image = cv::imread(filename);
if (image.empty()) {
throw runtime_error("Could not load image");
}
// detect objects
learningRate = (i > 200) ? 0.00005 : 0.01;
//delay = (i > 900) ? 500 : 5; // slows down update so I can get screencaps
//vector<ObjectInfo> detectedObjects = detectPeople(image);
vector<cv::Mat> detectedObjects = detectPeople(image);
// homography
//detectedObjects = ho
// track objects
//objectTracker->update(detectedObjects);
if (i > 200) {
trackObjects(detectedObjects);
predictObjects(image);
}
// translate coordinates
}
cout << "Total frames: " << numFrames << endl;
cout << "Merged frames: " << numMerged << endl;
cout << "Split frames: " << numSplit << endl;
cout << "Unsplit frames: " << numUnsplit << endl;
return 0;
}