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extract_features.cpp
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extract_features.cpp
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/*------------------------------------------------------*/
/* Copyright 2013, Dmytro Mishkin [email protected] */
/*------------------------------------------------------*/
#undef __STRICT_ANSI__
#include <fstream>
#include <string>
#include <iomanip>
#include <sys/time.h>
#include <map>
#include "io_mods.h"
#include "detectors/mser/extrema/extrema.h"
#include "detectors/helpers.h"
#include "matching/siftdesc.h"
#include "synth-detection.hpp"
#include "detectors/affinedetectors/scale-space-detector.hpp"
#include "detectors/detectors_parameters.hpp"
#include "descriptors_parameters.hpp"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "matching.hpp"
#include "configuration.hpp"
#include "imagerepresentation.h"
#include "correspondencebank.h"
//#define SCV
#ifdef SCV
#include "scv/scv_entrypoint.hpp"
#endif
#ifdef WITH_ORSA
#include "orsa.h"
#endif
#ifdef _OPENMP
#include <omp.h>
#endif
using namespace std;
const int nn_n = 50; //number of nearest neighbours retrieved to get 1st inconsistent
//inline long getMilliSecs()
//{
// timeval t;
// gettimeofday(&t, NULL);
// return t.tv_sec*1000 + t.tv_usec/1000;
//}
int main(int argc, char **argv)
{
if ((argc < 4))
{
std::cerr << " ************************************************************************** " << std::endl
<< " ******** Two-view Matching with On-Demand Synthesis ********************** " << std::endl
<< " ************************************************************************** " << std::endl
<< "Usage: " << argv[0] << " imgIn1.png keys-1.txt config_iter.ini iters.ini" << std::endl
<< "- imgIn1.png: input image " << std::endl
<< "- keys1.txt: affine regions and their descriptors." << std::endl
<< "- config_iter.ini: input file with detectors and descriptors paramaters [optional, default = 'config_iter.ini'] " << std::endl
<< "- iters.ini: input file with parameters of iterative view synthesis [optional, default= 'iters.ini']" << std::endl
<< " ******************************************************************************* " << std::endl;
return 1;
}
long c_start = getMilliSecs();
double time1;
TimeLog TimingLog;
logs log1;
/// Parameters reading
configs Config1;
if (getCLIparamExtractFeatures(Config1,argc,argv)) return 1;
int VERB = Config1.OutputParam.verbose;
/// Input images reading
cv::Mat img1;
SynthImage tilt_img1;
tilt_img1.id=0;
img1 = cv::imread(Config1.CLIparams.img1_fname,Config1.LoadColor); // load grayscale; Try RGB?
if(!img1.data) {
std::cerr << "Could not open or find the image1 " << Config1.CLIparams.img1_fname << std::endl;
return 1;
}
/// Data structures preparation
ImageRepresentation ImgRep1;
if (Config1.CLIparams.doCLAHE)
{
long clahe_start = getMilliSecs();
Ptr<CLAHE> clahe = createCLAHE();
clahe->setClipLimit(4);
cv::Mat img1_clahe;
clahe->apply(img1,img1_clahe);
double time2 = ((double)(getMilliSecs() - clahe_start))/1000;
if (VERB) std::cerr << " CLAHE done in " << time2<< " seconds" << endl;
ImgRep1 = ImageRepresentation(img1_clahe,Config1.CLIparams.img1_fname);
}
else
{
ImgRep1 = ImageRepresentation(img1,Config1.CLIparams.img1_fname);
}
#ifdef WITH_CAFFE
caffe::Caffe::set_phase(caffe::Caffe::TEST);
caffe::Caffe::set_mode(caffe::Caffe::CPU);
caffe::Net<float> caffe_net(Config1.DescriptorPars.CaffeDescParam.ProtoTxt);
caffe_net.CopyTrainedLayersFrom(Config1.DescriptorPars.CaffeDescParam.WeightsFile);
ImgRep1.InitCaffe(&caffe_net);
#endif
/// Affine regions detection
std::cerr << "View synthesis, detection and description..." << endl;
#ifdef _OPENMP
omp_set_nested(1);
#endif
ImgRep1.SynthDetectDescribeKeypoints(Config1.ItersParam[0],
Config1.DetectorsPars,
Config1.DescriptorPars,
Config1.DomOriPars);
TimeLog img1time = ImgRep1.GetTimeSpent();
/// Writing images and logs
std::cerr << "Writing files... " << endl;
// ImgRep1.SaveRegions(Config1.CLIparams.k1_fname,0);
ImgRep1.SaveRegions(Config1.CLIparams.k1_fname,0);
return 0;
}