int main(int argc, const char *argv[]) {
/* if(argc < 2) {
std::cout << " Input Arguments required " << std::endl;
return -1;
}*/
std::cout<< atoi(argv[1]) << std::endl;
VideoProcessorClass* videoProcessor = VideoProcessorClass::getInstance(atoi(argv[1]));// new VideoProcessorClass(atoi(argv[1]));
CamshiftProcessing* camshift = new CamshiftProcessing();
HOGFeatureSelector* hogfeatureSelector = new HOGFeatureSelector();
SVMClassifier* svmClassifier = new SVMClassifier();
//HoughTransformClass* houghClass = new HoughTransformClass();
// MarkerLessAR* markerlessAR = new MarkerLessAR();
// markerlessAR->startDrawing(1);
// cv::Mat inputSource = cv::imread("/home/pratheba/workspace/QTProject/HandDetectionWithCamshift/Images/Test/circle.jpg",CV_LOAD_IMAGE_COLOR);
// houghClass->findCircles(inputSource);
hogfeatureSelector->ComputeHOGFeatures("/home/pratheba/workspace/QTProject/HandDetectionWithCamshift/Images/Training/Triangle/", 25, IMG_TRIANGLE);
hogfeatureSelector->ComputeHOGFeatures("/home/pratheba/workspace/QTProject/HandDetectionWithCamshift/Images/Training/Non/", 10, IMG_NONE);
hogfeatureSelector->ComputeHOGFeatures("/home/pratheba/workspace/QTProject/HandDetectionWithCamshift/Images/Training/Circle/", 38, IMG_CIRCLE);
/* Train the images to classify as triangle or circle using SVM classifier */
svmClassifier->TrainData(hogfeatureSelector->hogDescriptorMat, hogfeatureSelector->TrainingClass);
/* Compute features for SVM classifier using HOG feature selector */
/* Get the VideoProcessing */
videoProcessor->SetVideoCaptureInstance();
//videoProcessor->ChooseProcessorClass(atoi(argv[1]));
videoProcessor->SetframeToStopProcessing(30);
videoProcessor->displayInput("Input Frame");
videoProcessor->displayOutput("Output Frame");
//// // To get the time taken in terms of second
double initialTickCount = (double)cv::getTickCount();
videoProcessor->ProcessVideoFrame();
double finalTickCount = (double)cv::getTickCount();
double timeextended = (finalTickCount - initialTickCount)/cv::getTickFrequency();
std::cout << timeextended << std::endl;
/* Get the color Probability mask */
camshift->TrackRegionOfInterest();
std::string testImagefileName = "/home/pratheba/workspace/QTProject/HandDetectionWithCamshift/Images/Test/";
hogfeatureSelector->ComputeHOGFeaturesForTestImage(testImagefileName);
svmClassifier->ClassifyImage(hogfeatureSelector->TestClassMat);
videoProcessor->release();
delete camshift;
delete hogfeatureSelector;
delete svmClassifier;
// delete houghClass;
//delete markerlessAR;
return 0;
}
