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imagerepresentation.cpp
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/*------------------------------------------------------*/
/* Copyright 2013, Dmytro Mishkin [email protected] */
/*------------------------------------------------------*/
#include "imagerepresentation.h"
#include "synth-detection.hpp"
#include "detectors/mser/extrema/extrema.h"
#include <opencv2/features2d/features2d.hpp>
#include <opencv2/nonfree/nonfree.hpp>
#include <opencv2/nonfree/features2d.hpp>
#include "opensurf/surflib.h"
#include "matching/liopdesc.hpp"
#include "akaze/src/lib/AKAZE.h"
#include "TILDE/c++/src/libTILDE.hpp"
//#include "detectors/new-saddle/sorb.h"
//#include "synthviewdet_old.hpp"
//#include "synthviewdet_old.hpp"
#ifdef _OPENMP
#include <omp.h>
#endif
//inline long getMilliSecs()
//{
// timeval t;
// gettimeofday(&t, NULL);
// return t.tv_sec*1000 + t.tv_usec/1000;
//}
#define VERBOSE 1
//
void saveKP(AffineKeypoint &ak, std::ostream &s) {
s << ak.x << " " << ak.y << " " << ak.a11 << " " << ak.a12 << " " << ak.a21 << " " << ak.a22 << " ";
s << ak.pyramid_scale << " " << ak.octave_number << " " << ak.s << " " << ak.sub_type << " ";
}
void saveKPBench(AffineKeypoint &ak, std::ostream &s) {
s << ak.x << " " << ak.y << " " << ak.s << " " << ak.a11 << " " << ak.a12 << " " << ak.a21 << " " << ak.a22;
}
// det([a11,a12;a21,a22}) = 1
void saveKPMichal(AffineKeypoint &ak, std::ostream &s) {
//float x, y, s, a11, a12, a21, a22, int type, float response, unsigned char desc[128]
ak.s *= sqrt(fabs(ak.a11*ak.a22 - ak.a12*ak.a21))*3.0*sqrt(3.0);
rectifyAffineTransformationUpIsUp(ak.a11,ak.a12,ak.a21,ak.a22);
s << ak.x << " " << ak.y << " " << ak.s << " " << ak.a11 << " " << ak.a12 << " " << ak.a21 << " " << ak.a22 << " ";
s << ak.sub_type << " " << ak.response << " ";
}
void saveKPMichalBin(AffineKeypoint &ak, std::ostream &s) {
//float x, y, s, a11, a12, a21, a22, int type, float response, unsigned char desc[128]
ak.s *= sqrt(fabs(ak.a11*ak.a22 - ak.a12*ak.a21))*3.0*sqrt(3.0);
rectifyAffineTransformationUpIsUp(ak.a11,ak.a12,ak.a21,ak.a22);
float x = (float)ak.x;
s.write((char *)&x, sizeof(float));
float y = (float)ak.y;
s.write((char *)&y, sizeof(float));
//float scale = ak.s*mrSize;
float scale = (float)ak.s;
s.write((char *)&scale, sizeof(float));
float a11 = (float)ak.a11;
s.write((char *)&a11, sizeof(float));
float a12 = (float)ak.a12;
s.write((char *)&a12, sizeof(float));
float a21 = (float)ak.a21;
s.write((char *)&a21, sizeof(float));
float a22 = (float)ak.a22;
s.write((char *)&a22, sizeof(float));
s.write((char *)&ak.sub_type, sizeof(int));
float resp = (float)ak.response;
s.write((char *)&resp, sizeof(float));
// std::cerr << x << " " << y << " " << scale << std::endl;
// s << ak.x << " " << ak.y << " " << ak.s << " " << ak.a11 << " " << ak.a12 << " " << ak.a21 << " " << ak.a22 << " ";
// s << ak.sub_type << " " << ak.response << " ";
}
void saveAR(AffineRegion &ar, std::ostream &s) {
s << ar.id << " " << ar.img_id << " " << ar.img_reproj_id << " ";
s << ar.parent_id << " ";
saveKP(ar.det_kp,s);
saveKP(ar.reproj_kp,s);
// s << ar.desc.type <<
s << " " << ar.desc.vec.size() << " ";
for (unsigned int i = 0; i < ar.desc.vec.size(); ++i) {
s << ar.desc.vec[i] << " ";
}
}
void saveARBench(AffineRegion &ar, std::ostream &s, std::ostream &s2) {
saveKPBench(ar.det_kp,s2);
saveKPBench(ar.reproj_kp,s);
}
void saveARMichal(AffineRegion &ar, std::ostream &s) {
// s << ar.id << " " << ar.img_id << " " << ar.img_reproj_id << " ";
// s << ar.parent_id << " ";
// saveKP(ar.det_kp,s);
saveKPMichal(ar.reproj_kp,s);
// s << ar.desc.type <<
// s << " " << ar.desc.vec.size() << " ";
for (unsigned int i = 0; i < ar.desc.vec.size(); ++i) {
s << ar.desc.vec[i] << " ";
}
}
void saveARMichalBinary(AffineRegion &ar, std::ostream &s) {
// s << ar.id << " " << ar.img_id << " " << ar.img_reproj_id << " ";
// s << ar.parent_id << " ";
// saveKP(ar.det_kp,s);
saveKPMichalBin(ar.reproj_kp,s);
// s << ar.desc.type <<
// s << " " << ar.desc.vec.size() << " ";
// std::cerr << ar.desc.vec.size() << std::endl;
for (unsigned int i = 0; i < ar.desc.vec.size(); ++i) {
int desc = (int)MAX(0,MIN(ar.desc.vec[i], 255));
unsigned char desc1 = (unsigned char) (desc);
s.write((char *)&desc1, sizeof(unsigned char));
// s << ar.desc.vec[i] << " ";
}
}
void loadKP(AffineKeypoint &ak, std::istream &s) {
s >> ak.x >> ak.y >> ak.a11 >> ak.a12 >>ak.a21 >> ak.a22 >> ak.pyramid_scale >> ak.octave_number >> ak.s >> ak.sub_type;
}
void loadAR(AffineRegion &ar, std::istream &s) {
s >> ar.id >> ar.img_id >> ar.img_reproj_id;
s >> ar.parent_id;
loadKP(ar.det_kp,s);
loadKP(ar.reproj_kp,s);
// s >> ar.desc.type;
int size1;
s >> size1;
ar.desc.vec.resize(size1);
for (unsigned int i = 0; i < ar.desc.vec.size(); ++i) {
s >> ar.desc.vec[i];
}
}
#ifdef WITH_CAFFE
using namespace caffe; // NOLINT(build/namespaces)
bool cvMatToDatum(const cv::Mat & cv_img, const int label, Datum* datum) {
// accept only char type matrices
CV_Assert(cv_img.depth() != sizeof(uchar));
if (!cv_img.data) {
return false;
}
const unsigned int num_channels = cv_img.channels();
const unsigned int height = cv_img.rows;
const unsigned int width = cv_img.cols;
datum->set_channels(num_channels);
datum->set_height(height);
datum->set_width(width);
datum->set_label(label);
datum->clear_data();
datum->clear_float_data();
string* datum_string = datum->mutable_data();
for (unsigned int c=0; c < num_channels; ++c) {
for (unsigned int h = 0; h < height; ++h){
const cv::Vec3b *cv_img_data = cv_img.ptr<cv::Vec3b>(h);
for (unsigned int w = 0; w < width; ++w){
datum_string->push_back(static_cast<char>(cv_img_data[w][c]));
}
}
}
return true;
}
#endif
void L2normalize(const float* input_arr, int size, std::vector<float> &output_vect)
{
double norm = 0.0;
for (int i = 0; i < size; ++i) {
norm+=input_arr[i] * input_arr[i];
}
const double norm_coef = 1.0/sqrt(norm);
for (int i = 0; i < size; ++i) {
const float v1 = floor(512.0*norm_coef*input_arr[i]);
output_vect[i] = v1;
}
}
void L1normalize(const float* input_arr, int size, std::vector<float> &output_vect)
{
double norm=0.0;
for (int i = 0; i < size; ++i) {
norm+=input_arr[i];
}
const double norm_coef = 1.0/norm;
for (int i = 0; i < size; ++i) {
const float v1 = floor(512.0*norm_coef*input_arr[i]);
output_vect[i] = v1;
}
}
void RootNormalize(const float* input_arr, int size, std::vector<float> &output_vect)
{
L2normalize(input_arr,size,output_vect);
double norm=0.0;
for (int i = 0; i < size; ++i) {
norm+=input_arr[i];
}
const double norm_coef = 1.0/norm;
for (int i = 0; i < size; ++i) {
const float v1 = sqrt(512.0*norm_coef*input_arr[i]);
output_vect[i] = v1;
}
}
ImageRepresentation::ImageRepresentation(cv::Mat _in_img, std::string _name)
{
if (_in_img.channels() ==3) {
_in_img.convertTo(OriginalImg,CV_32FC3);
} else {
_in_img.convertTo(OriginalImg,CV_32F);
}
Name = _name;
}
ImageRepresentation::ImageRepresentation()
{
}
#ifdef WITH_CAFFE
void ImageRepresentation::InitCaffe(caffe::Net<float>* net_ptr)
{
caffe_net_ptr = net_ptr;
}
#endif
ImageRepresentation::~ImageRepresentation()
{
RegionVectorMap.clear();
}
descriptor_type ImageRepresentation::GetDescriptorType(std::string desc_name)
{
for (unsigned int i=0; i< DescriptorNames.size(); i++)
if (DescriptorNames[i].compare(desc_name)==0)
return static_cast<descriptor_type>(i);
return DESC_UNKNOWN;
}
detector_type ImageRepresentation::GetDetectorType(std::string det_name)
{
for (unsigned int i=0; i< DetectorNames.size(); i++)
if (DetectorNames[i].compare(det_name)==0)
return static_cast<detector_type>(i);
return DET_UNKNOWN;
}
TimeLog ImageRepresentation::GetTimeSpent()
{
return TimeSpent;
}
int ImageRepresentation::GetRegionsNumber(std::string det_name)
{
int reg_number = 0;
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
if (det_name.compare("All") == 0)
{
for (regions_it = RegionVectorMap.begin();
regions_it != RegionVectorMap.end(); regions_it++)
{
AffineRegionVectorMap::iterator desc_it;
if ( (desc_it = regions_it->second.find("None")) != regions_it->second.end() )
reg_number += desc_it->second.size();
}
}
else
{
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
AffineRegionVectorMap::iterator desc_it;
if ( (desc_it = regions_it->second.find("None")) != regions_it->second.end() )
reg_number += desc_it->second.size();
}
}
return reg_number;
}
int ImageRepresentation::GetDescriptorsNumber(std::string desc_name, std::string det_name)
{
int reg_number = 0;
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
if (det_name.compare("All") == 0)
{
for (regions_it = RegionVectorMap.begin();
regions_it != RegionVectorMap.end(); regions_it++)
if (desc_name.compare("All") == 0)
{
for (desc_it = regions_it->second.begin();
desc_it != regions_it->second.end(); desc_it++)
reg_number += desc_it->second.size();
}
else
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
reg_number += desc_it->second.size();
}
}
else
{
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
if (desc_name.compare("All") == 0)
{
for (desc_it = regions_it->second.begin();
desc_it != regions_it->second.end(); desc_it++)
reg_number += desc_it->second.size();
}
else
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
reg_number += desc_it->second.size();
}
}
}
return reg_number;
}
int ImageRepresentation::GetDescriptorDimension(std::string desc_name)
{
int dim = 0;
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
for (regions_it = RegionVectorMap.begin();regions_it != RegionVectorMap.end(); regions_it++)
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
if (desc_it->second.size() > 0)
{
dim = desc_it->second[0].desc.vec.size();
break;
}
}
return dim;
}
cv::Mat ImageRepresentation::GetDescriptorsMatByDetDesc(const std::string desc_name,const std::string det_name)
{
unsigned int dim = GetDescriptorDimension(desc_name);
unsigned int n_descs = GetDescriptorsNumber(desc_name,det_name);
cv::Mat descriptors(dim, n_descs, CV_32F);
int reg_number = 0;
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
if (det_name.compare("All") == 0)
{
for (regions_it = RegionVectorMap.begin();
regions_it != RegionVectorMap.end(); regions_it++)
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
unsigned int curr_size = currentDescVector->size();
for (unsigned int i = 0; i<curr_size; i++, reg_number++)
{
float* Row = descriptors.ptr<float>(reg_number);
AffineRegion curr_region = (*currentDescVector)[i];
for (unsigned int j = 0; j<dim; j++)
Row[j] = curr_region.desc.vec[j];
}
}
}
}
else
{
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
unsigned int curr_size = currentDescVector->size();
for (unsigned int i = 0; i<curr_size; i++, reg_number++)
{
float* Row = descriptors.ptr<float>(reg_number);
AffineRegion curr_region = (*currentDescVector)[i];
for (unsigned int j = 0; j<dim; j++)
Row[j] = curr_region.desc.vec[j];
}
}
}
}
return descriptors;
}
cv::Mat ImageRepresentation::GetDescriptorsMatByDetDesc(std::vector<Point2f> &coordinates, const std::string desc_name,const std::string det_name)
{
unsigned int dim = GetDescriptorDimension(desc_name);
unsigned int n_descs = GetDescriptorsNumber(desc_name,det_name);
cv::Mat descriptors(dim, n_descs, CV_32F);
coordinates.clear();
coordinates.reserve(n_descs);
int reg_number = 0;
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
if (det_name.compare("All") == 0)
{
for (regions_it = RegionVectorMap.begin();
regions_it != RegionVectorMap.end(); regions_it++)
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
unsigned int curr_size = currentDescVector->size();
for (unsigned int i = 0; i<curr_size; i++, reg_number++)
{
float* Row = descriptors.ptr<float>(reg_number);
AffineRegion curr_region = (*currentDescVector)[i];
Point2f curr_point;
curr_point.x = curr_region.reproj_kp.x;
curr_point.y = curr_region.reproj_kp.y;
coordinates.push_back(curr_point);
for (unsigned int j = 0; j<dim; j++)
Row[j] = curr_region.desc.vec[j];
}
}
}
}
else
{
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
unsigned int curr_size = currentDescVector->size();
for (unsigned int i = 0; i<curr_size; i++, reg_number++)
{
float* Row = descriptors.ptr<float>(reg_number);
AffineRegion curr_region = (*currentDescVector)[i];
Point2f curr_point;
curr_point.x = curr_region.reproj_kp.x;
curr_point.y = curr_region.reproj_kp.y;
coordinates.push_back(curr_point);
for (unsigned int j = 0; j<dim; j++)
Row[j] = curr_region.desc.vec[j];
}
}
}
}
return descriptors;
}
AffineRegion ImageRepresentation::GetAffineRegion(std::string desc_name, std::string det_name, int idx)
{
AffineRegion curr_region;
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
curr_region = (*currentDescVector)[idx];
return curr_region;
}
}
return curr_region;
}
AffineRegionVector ImageRepresentation::GetAffineRegionVector(std::string desc_name, std::string det_name, std::vector<int> idxs)
{
unsigned int n_regs = idxs.size();
AffineRegionVector regions;
regions.reserve(n_regs);
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
for (unsigned int i = 0; i < n_regs; i++)
regions.push_back((*currentDescVector)[idxs[i]]);
}
}
return regions;
}
AffineRegionVector ImageRepresentation::GetAffineRegionVector(std::string desc_name, std::string det_name)
{
unsigned int n_regs = GetDescriptorsNumber(desc_name,det_name);
AffineRegionVector regions;
regions.reserve(n_regs);
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
if (det_name.compare("All") == 0) {
for (regions_it = RegionVectorMap.begin();
regions_it != RegionVectorMap.end(); regions_it++)
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
for (unsigned int i = 0; i < n_regs; i++)
regions.push_back((*currentDescVector)[i]);
}
}
}
else {
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
for (unsigned int i = 0; i < n_regs; i++)
regions.push_back((*currentDescVector)[i]);
}
}
}
return regions;
}
void ImageRepresentation::AddRegions(AffineRegionVector &RegionsToAdd, std::string det_name, std::string desc_name)
{
std::map<std::string, AffineRegionVectorMap>::iterator regions_it;
AffineRegionVectorMap::iterator desc_it;
regions_it = RegionVectorMap.find(det_name);
if ( regions_it != RegionVectorMap.end())
{
desc_it = regions_it->second.find(desc_name);
if (desc_it != regions_it->second.end() )
{
AffineRegionVector *currentDescVector = &(desc_it->second);
ImageRepresentation::AddRegionsToList(*currentDescVector,RegionsToAdd);
}
else
{
regions_it->second[desc_name] = RegionsToAdd;
}
}
else
{
std::map<std::string, AffineRegionVector> new_desc;
new_desc[desc_name] = RegionsToAdd;
RegionVectorMap[det_name] = new_desc;
}
}
void ImageRepresentation::AddRegions(AffineRegionVectorMap &RegionsMapToAdd, std::string det_name)
{
AffineRegionVectorMap::iterator desc_it;
for (desc_it = RegionsMapToAdd.begin();
desc_it != RegionsMapToAdd.end(); desc_it++)
AddRegions(desc_it->second,det_name,desc_it->first);
}
void ImageRepresentation::AddRegionsToList(AffineRegionList &kp_list, AffineRegionList &new_kps)
{
int size = (int)kp_list.size();
unsigned int new_size = size + new_kps.size();
AffineRegionList::iterator ptr = new_kps.begin();
for (unsigned int i=size; i< new_size; i++, ptr++)
{
AffineRegion temp_reg = *ptr;
temp_reg.id += size;
temp_reg.parent_id +=size;
kp_list.push_back(temp_reg);
}
}
void ImageRepresentation::SynthDetectDescribeKeypoints (IterationViewsynthesisParam &synth_par,
DetectorsParameters &det_par,
DescriptorsParameters &desc_par,
DominantOrientationParams &dom_ori_par)
{
double time1 = 0;
#ifdef _OPENMP
omp_set_nested(1);
#endif
#pragma omp parallel for schedule (dynamic,1)
for (unsigned int det=0; det < DetectorNames.size(); det++)
{
std::string curr_det = DetectorNames[det];
unsigned int n_synths = synth_par[curr_det].size();
std::vector<AffineRegionVectorMap> OneDetectorKeypointsMapVector;
OneDetectorKeypointsMapVector.resize(n_synths);
#pragma omp parallel for schedule (dynamic,1)
for (unsigned int synth=0; synth<n_synths; synth++)
{
///Synthesis
long s_time = getMilliSecs1();
AffineRegionVector temp_kp1;
AffineRegionVectorMap temp_kp_map;
SynthImage temp_img1;
if ((curr_det != "TILDE") && (curr_det != "TILDE-plugin")) {
GenerateSynthImageCorr(OriginalImg, temp_img1, Name.c_str(),
synth_par[curr_det][synth].tilt,
synth_par[curr_det][synth].phi,
synth_par[curr_det][synth].zoom,
synth_par[curr_det][synth].InitSigma,
synth_par[curr_det][synth].doBlur, synth);
} else {
cv::Mat rgbimg;
if (OriginalImg.channels() == 3)
{
const bool convert_to_gray = false;
GenerateSynthImageCorr(OriginalImg, temp_img1, Name.c_str(),
synth_par[curr_det][synth].tilt,
synth_par[curr_det][synth].phi,
synth_par[curr_det][synth].zoom,
synth_par[curr_det][synth].InitSigma,
synth_par[curr_det][synth].doBlur, synth,convert_to_gray);
temp_img1.rgb_pixels = temp_img1.pixels.clone();
std::vector<cv::Mat> RGB_planes(3);
cv::Mat in_32f;
temp_img1.rgb_pixels.convertTo(in_32f,CV_32FC3);
cv::split(in_32f, RGB_planes);
temp_img1.pixels = (RGB_planes[0] + RGB_planes[1] + RGB_planes[2]) / 3.0 ;
} else
{
std::cerr << "Grayscale input to TILDE!" << std::endl;
GenerateSynthImageCorr(OriginalImg, temp_img1, Name.c_str(),
synth_par[curr_det][synth].tilt,
synth_par[curr_det][synth].phi,
synth_par[curr_det][synth].zoom,
synth_par[curr_det][synth].InitSigma,
synth_par[curr_det][synth].doBlur, synth);
cv::cvtColor(temp_img1.pixels, rgbimg, CV_GRAY2BGR);
temp_img1.rgb_pixels = rgbimg;
}
}
bool doExternalAffineAdaptation = false;
time1 = ((double)(getMilliSecs1() - s_time))/1000;
TimeSpent.SynthTime += time1;
///Structures initialization
IplImage *int_img; //for SURF
IpVec ipts1;//for SURF
cv::Mat CharImage; //for OpenCV detectors
aka::AKAZEOptions options; //For KAZE
options.img_width = temp_img1.pixels.cols;
options.img_height = temp_img1.pixels.rows;
aka::AKAZE evolution1(options);
std::vector<cv::KeyPoint> keypoints_1; //for binary-dets
cv::Mat descriptors_1; //for binary-dets
bool OpenCV_det = ((curr_det.compare("ORB") == 0) ||
(curr_det.compare("Saddle") == 0) ||
(curr_det.compare("FAST") == 0) ||
(curr_det.compare("STAR") == 0) ||
(curr_det.compare("KAZE") == 0) ||
(curr_det.compare("BRISK") == 0));
bool SIFT_like_desc = false;
bool HalfSIFT_like_desc = false;
for (unsigned int i_desc=0; i_desc < synth_par[curr_det][synth].descriptors.size();i_desc++) {
std::string curr_desc = synth_par[curr_det][synth].descriptors[i_desc];
// if (curr_desc.find("LIOP") != std::string::npos) {
// SIFT_like_desc = true;
// }
// if (curr_desc.find("Pixels") != std::string::npos) {
// SIFT_like_desc = true;
// }
// if (curr_desc.find("SIFT") != std::string::npos) {
if (curr_desc.find("Half") != std::string::npos) {
HalfSIFT_like_desc = true;
}
if (curr_desc.find("SIFT") != std::string::npos) {
// if ((curr_desc.find("ORB") != std::string::npos) || (curr_desc.find("FREAK") != std::string::npos)
// || (curr_desc.find("KAZE") != std::string::npos)) {
SIFT_like_desc = true;
} else {
SIFT_like_desc = false;
}
}
/// Detection
s_time = getMilliSecs1();
if (curr_det.compare("HessianAffine")==0)
{
DetectAffineRegions(temp_img1, temp_kp1,det_par.HessParam,DET_HESSIAN,DetectAffineKeypoints);
}
else if (curr_det.compare("ReadAffs") == 0) {
std::ifstream focikp(det_par.ReadAffsFromFileParam.fname);
if (focikp.is_open()) {
int kp_size;
focikp >> kp_size;
std::cerr << kp_size << std::endl;
temp_kp1.reserve(kp_size);
for (int kp_num = 0; kp_num < kp_size; kp_num++) {
AffineRegion temp_region;
temp_region.det_kp.pyramid_scale = -1;
temp_region.det_kp.octave_number = -1;
temp_region.det_kp.sub_type = 101;
focikp >> temp_region.det_kp.x;
focikp >> temp_region.det_kp.y;
focikp >> temp_region.det_kp.s;
focikp >> temp_region.det_kp.a11;
focikp >> temp_region.det_kp.a12;
focikp >> temp_region.det_kp.a21;
focikp >> temp_region.det_kp.a22;
temp_region.det_kp.response = 100;
temp_region.type = DET_FOCI;
temp_kp1.push_back(temp_region);
}
}
focikp.close();
}
else if (curr_det.compare("FOCI")==0)
{
doExternalAffineAdaptation = det_par.FOCIParam.doBaumberg;
// DetectAffineRegions(temp_img1, temp_kp1,det_par.DoGParam,DET_DOG,DetectAffineKeypoints);
int rnd1 = (int) getMilliSecs() + (std::rand() % (int)(1001));
std::string img_fname = "FOCI"+std::to_string(synth+rnd1)+".png";
cv::imwrite(img_fname,temp_img1.pixels);
//srand();
std::string command = "wine EdgeFociAndBice.exe -mi -i " + img_fname;
// command += " -mi";
if (det_par.FOCIParam.numberKPs > 0) {
command += " -n "+ std::to_string(det_par.FOCIParam.numberKPs);
}
if (det_par.FOCIParam.computeOrientation) {
command += " -co";
if (det_par.FOCIParam.secondOrientation) {
command += " -mo ";
}
}
std::string fname1 = "FOCI" + std::to_string(synth+rnd1) + ".txt";
command += " -o " + fname1;
std::cerr << command <<std::endl;
system(command.c_str());
std::ifstream focikp(fname1);
if (focikp.is_open()) {
int kp_size;
focikp >> kp_size;
temp_kp1.reserve(kp_size);
for (int kp_num=0; kp_num < kp_size; kp_num++)
{
AffineRegion temp_region;
temp_region.det_kp.pyramid_scale = -1;
temp_region.det_kp.octave_number = -1;
temp_region.det_kp.sub_type = 55;
focikp >> temp_region.det_kp.x;
focikp >> temp_region.det_kp.y;
focikp >> temp_region.det_kp.a11;
temp_region.det_kp.a11 = sqrt(temp_region.det_kp.a11);
focikp >> temp_region.det_kp.a12;
temp_region.det_kp.a12 = sqrt(temp_region.det_kp.a12);
temp_region.det_kp.a21 = 0;
focikp >> temp_region.det_kp.a22;
temp_region.det_kp.a22 = sqrt(temp_region.det_kp.a22);
temp_region.det_kp.s = 1.0; //?
focikp >> temp_region.det_kp.response;
temp_region.type = DET_FOCI;
float angle;
focikp >> angle; //Not good yet
temp_region.det_kp.s *= sqrt(fabs(temp_region.det_kp.a11*temp_region.det_kp.a22
- temp_region.det_kp.a12*temp_region.det_kp.a21));
rectifyAffineTransformationUpIsUp(temp_region.det_kp.a11,
temp_region.det_kp.a12,
temp_region.det_kp.a21,
temp_region.det_kp.a22);
temp_kp1.push_back(temp_region);
}
}
focikp.close();
std::string rm_command = "rm " + fname1;
system(rm_command.c_str());
rm_command = "rm " + img_fname;
system(rm_command.c_str());
}
else if (curr_det.compare("SFOP")==0)
{
doExternalAffineAdaptation = det_par.SFOPParam.doBaumberg;
int rnd1 = (int) getMilliSecs() + (std::rand() % (int)(1001));
std::string img_fname = "SFOP"+std::to_string(synth+rnd1)+".png";
cv::imwrite(img_fname,temp_img1.pixels);
std::string command = "./sfop -i " + img_fname;
command += " --display false";
command += " --noise "+ std::to_string(det_par.SFOPParam.noise);
command += " --pTresh "+ std::to_string(det_par.SFOPParam.pThresh);
command += " --lWeight "+ std::to_string(det_par.SFOPParam.lWeight);
command += " --numOctaves "+ std::to_string(det_par.SFOPParam.nLayers);
command += " --numLayers "+ std::to_string(det_par.SFOPParam.nOctaves);
std::string fname1 = "SFOP" + std::to_string(synth+rnd1) + ".txt";
command += " -o " + fname1;
std::cerr << command <<std::endl;
system(command.c_str());
std::ifstream focikp(fname1);
if (focikp.is_open()) {
ReadKPsMik(temp_kp1, focikp, det_par.ToSMSERParam.scale);
}
focikp.close();
std::string rm_command = "rm " + fname1;
system(rm_command.c_str());
rm_command = "rm " + img_fname;
system(rm_command.c_str());
}
else if (curr_det.compare("WAVE")==0)
{
doExternalAffineAdaptation = det_par.WAVEParam.doBaumberg;
int rnd1 = (int) getMilliSecs() + (std::rand() % (int)(1001));
std::string img_fname = "WAVE"+std::to_string(synth+rnd1)+".png";
cv::imwrite(img_fname,temp_img1.pixels);
std::string command = "./WaveDetector -i " + img_fname;
command += " -b "+ std::to_string(det_par.WAVEParam.b_wave);
command += " --non_maxima_suppression "+ std::to_string(det_par.WAVEParam.nms);
command += " -s "+ std::to_string(det_par.WAVEParam.s);
command += " -t "+ std::to_string(det_par.WAVEParam.t);
command += " -r "+ std::to_string(det_par.WAVEParam.r);
command += " -k "+ std::to_string(det_par.WAVEParam.k);
if (det_par.WAVEParam.pyramid) {
command += " --pyramid";
}
std::string fname1 = "WAVE" + std::to_string(synth+rnd1) + ".txt";
command += " -o " + fname1;
std::cerr << command <<std::endl;
system(command.c_str());
std::ifstream focikp(fname1);
if (focikp.is_open()) {
ReadKPsMik(temp_kp1, focikp);
}
focikp.close();
std::string rm_command = "rm " + fname1;
system(rm_command.c_str());
rm_command = "rm " + img_fname;
system(rm_command.c_str());
}
else if (curr_det.compare("WASH")==0)
{
doExternalAffineAdaptation = det_par.WASHParam.doBaumberg;
int rnd1 = (int) getMilliSecs() + (std::rand() % (int)(1001));
std::string img_fname = "WASH"+std::to_string(synth+rnd1)+".png";
cv::imwrite(img_fname,temp_img1.pixels);
std::string command = "./WaSH_linux_64 -i " + img_fname;
command += " -t "+ std::to_string(det_par.WASHParam.threshold);
std::string fname1 = img_fname + ".wash";
std::cerr << command <<std::endl;
system(command.c_str());
std::ifstream focikp(fname1);
if (focikp.is_open()) {
ReadKPsMik(temp_kp1, focikp, det_par.ToSMSERParam.scale);
}
focikp.close();
std::string rm_command = "rm " + fname1;
system(rm_command.c_str());
rm_command = "rm " + img_fname;
system(rm_command.c_str());
}
/* else if (curr_det.compare("Saddle")==0)
{
doExternalAffineAdaptation = det_par.SaddleParam.doBaumberg;
cmp::SORB CurrentDetector(det_par.SaddleParam.respThreshold,
det_par.SaddleParam.scalefac,
det_par.SaddleParam.pyrLevels,
det_par.SaddleParam.edgeThreshold,
det_par.SaddleParam.epsilon,
det_par.SaddleParam.WTA_K,
det_par.SaddleParam.scoreType,
det_par.SaddleParam.descSize,
det_par.SaddleParam.doNMS,
cmp::SORB::K_BYTES,
(uchar) det_par.SaddleParam.deltaThr,
det_par.SaddleParam.nfeatures,
det_par.SaddleParam.allC1feats,
det_par.SaddleParam.strictMaximum,
det_par.SaddleParam.subPixPrecision,
det_par.SaddleParam.gravityCenter,
det_par.SaddleParam.innerTstType);
//cmp::SORB detector(responseThr, scaleFactor, nlevels, edgeThreshold, epsilon, 2, cmp::SORB::DELTA_SCORE , 31,
// doNMS, descSize, deltaThr, nfeatures, allC1feats, strictMaximum, subPixPrecision, gravityCenter, innerTstType);
Mat dcts, mask;
printf("Detecting SADDLE points... \n");
temp_img1.pixels.convertTo(CharImage,CV_8U);
CurrentDetector(CharImage, mask, keypoints_Sad);//, dcts, false );
printf("Done \n");
int kp_size = keypoints_Sad.size();
temp_kp1.resize(kp_size);
for (int kp_num=0; kp_num<kp_size; kp_num++)
{
temp_kp1[kp_num].det_kp.x = keypoints_Sad[kp_num].pt.x;
temp_kp1[kp_num].det_kp.y = keypoints_Sad[kp_num].pt.y;
temp_kp1[kp_num].det_kp.a11 = cos(keypoints_Sad[kp_num].angle*M_PI/180.0);
temp_kp1[kp_num].det_kp.a12 = sin(keypoints_Sad[kp_num].angle*M_PI/180.0);
temp_kp1[kp_num].det_kp.a21 = -sin(keypoints_Sad[kp_num].angle*M_PI/180.0);
temp_kp1[kp_num].det_kp.a22 = cos(keypoints_Sad[kp_num].angle*M_PI/180.0);
temp_kp1[kp_num].det_kp.s = sqrt(keypoints_Sad[kp_num].size);// /3.0; //?
temp_kp1[kp_num].det_kp.response = keypoints_Sad[kp_num].response;
temp_kp1[kp_num].type = DET_SADDLE;
}
// //./saddlepts1 -i image-00547.bmp -o pts_saddle.txt
// doExternalAffineAdaptation = det_par.SaddleParam.doBaumberg;
// int rnd1 = (int) getMilliSecs() + (std::rand() % (int)(1001));
// std::string img_fname = "Saddle"+std::to_string(synth+rnd1)+".png";
// cv::imwrite(img_fname,temp_img1.pixels);
// std::string command = "./saddlepts_very_new -i " + img_fname;
// std::string fname1 = img_fname + ".saddle";
// command += " -o "+ fname1;
// command += " -t "+ std::to_string(det_par.SaddleParam.threshold);
// command += " -l "+ std::to_string(det_par.SaddleParam.pyrLevels);
// command += " -s "+ std::to_string(det_par.SaddleParam.scalefac);
// command += " -e "+ std::to_string(det_par.SaddleParam.epsilon);
// if (det_par.SaddleParam.doNMS) {
// command += " -n ";
// };
// std::cerr << command << std::endl;
// system(command.c_str());
// std::ifstream focikp(fname1);
// if (focikp.is_open()) {
// ReadKPsMik(temp_kp1, focikp,DET_SADDLE, 5.192);
// }
// focikp.close();
// std::cout << temp_kp1.size() << " saddle points detected" << std::endl;
// std::string rm_command = "rm " + fname1;
// system(rm_command.c_str());
// rm_command = "rm " + img_fname;
// system(rm_command.c_str());
} */
else if (curr_det.compare("TOS-MSER")==0)
{
//./saddlepts1 image-00547.bmp pts_saddle.txt 0/1
// doExternalAffineAdaptation = det_par.SaddleParam.doBaumberg;
int rnd1 = (int) getMilliSecs() + (std::rand() % (int)(1001));
std::string img_fname = "tos-mser"+std::to_string(synth+rnd1)+".png";
cv::imwrite(img_fname,temp_img1.pixels);
std::string command = "./Trees_no_img " + img_fname;
std::string fname1 = img_fname + ".tosmser";
command += " "+ fname1;
command += " "+ std::to_string(det_par.ToSMSERParam.run_mode);
std::cerr << command << std::endl;
system(command.c_str());
std::ifstream focikp(fname1);
if (focikp.is_open()) {
ReadKPsMik(temp_kp1, focikp,DET_TOS_MSER, det_par.ToSMSERParam.scale);
}
focikp.close();
std::cout << temp_kp1.size() << " ToS-MSER points detected" << std::endl;
// for (int kp_num=0; kp_num < temp_kp1.size(); kp_num++) {
// temp_kp1[kp_num].det_kp.s = sqrt(temp_kp1[kp_num].det_kp.s);// / (sqrt(3.0)*3.0);
// }
std::string rm_command = "rm " + fname1;