Чтение нарушения доступа в FeatureDetector OpenCV 2.4.5
Я попробовал примеры кодов о соответствии многих изображений вOpenCV 2.4.5 и я изменил этот код. Я нашел код ошибки:
Unhandled exception at 0x585a7090 in testing.exe:
0xC0000005: Access violation reading location 0x00000000.
Его вина вfeatureDetector->detect(queryImage, queryKeypoints).
Я не могу найти решение этой проблемы. Пожалуйста, помогите мне.
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\features2d\features2d.hpp>
#include <opencv2\contrib\contrib.hpp>
#include <iostream>
#include <fstream>
#include <conio.h>
#include <string>
using namespace std;
using namespace cv;
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames);
static bool readImages(const string& queryImageName, Mat& queryImage);
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames);
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints,
const vector<Mat>& trainImages, vector<vector<KeyPoint>>& trainKeypoints, Ptr<FeatureDetector>& featureDetector);
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames)
{
trainFilenames.clear();
ifstream file(filename.c_str());
if(!file.is_open())
{
cout << "File can't open" << endl;
return;
}
size_t pos = filename.rfind("\\");
char dlmtr = '\\';
if(pos == String::npos)
{
pos = filename.rfind('/');
dlmtr = '/';
}
dirName = pos == string::npos ? "" : filename.substr(0, pos) + dlmtr;
while(!file.eof())
{
string str; getline(file, str);
if(str.empty()) break;
trainFilenames.push_back(str);
} // end while
file.close();
} // end void readTrainFilenames
static bool readImages(const string& queryImageName, Mat& queryImage)
{
cout << "reading images..." << endl;
queryImage = imread(queryImageName, CV_LOAD_IMAGE_GRAYSCALE);
if(queryImage.empty())
{
cout << "query image can not be read. \n";
return false;
} // end if
return true;
}
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames)
{
cout << "reading training images..." << endl;
string trainDirName = "D:/matching_to_many_images/";
readTrainFilenames(trainFilename, trainDirName, trainImageNames);
if(trainImageNames.empty())
{
cout << "Train image filenames can not be read." << endl;
return false;
} // end if
int readImageCount = 0;
for(size_t i = 0; i < trainImageNames.size(); i++)
{
string filename = trainDirName + trainImageNames[i];
Mat img = imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
if(img.empty())
{
cout << "Train image " << filename << " can not be read." << endl;
}
else
{
readImageCount++;
}// end if
trainImages.push_back(img);
} // end for
if(!readImageCount)
{
cout << "All train images can not be read." << endl;
return false;
}
else
{
cout << readImageCount << " train images were read." << endl;
}
cout << endl;
return true;
}
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints,
const vector<Mat>& trainImages,
vector<vector<KeyPoint>>& trainKeypoints,
Ptr<FeatureDetector>& featureDetector){
cout << endl << "Extracting keypoints from images..." << endl;
try{
featureDetector->detect(queryImage, queryKeypoints);
}
catch(Ptr<FeatureDetector> a)
{
cout << "hmm" << endl;
}
cout << endl;
} // end void detectKeypoints
int main()
{
const string defaultDetectorType = "SURF";
const string defaultDescriptorType = "SURF";
const string defaultMatcherType = "FlannBased";
const string defaultQueryImageName = "D:/matching_to_many_images/query.png";
const string defaultFileWithTrainImages = "D:/matching_to_many_images/train/trainImages.txt";
const string defaultDirToSaveResImages = "D:/matching_to_many_images/results";
Ptr<FeatureDetector> featureDetector;
Ptr<DescriptorExtractor> descriptorExtractor;
Ptr<DescriptorMatcher> descriptorMatcher;
Mat queryImages;
vector<Mat> trainImages;
vector<string> trainImagesNames;
vector<KeyPoint> queryKeypoints;
vector<vector<KeyPoint>> trainKeypoints;
if(!readImages(defaultQueryImageName, queryImages))
{
_getch();
return -1;
} // end if
if(!readTrainImages(defaultFileWithTrainImages, trainImages, trainImagesNames))
{
_getch();
return -1;
}
detectKeypoints(queryImages, queryKeypoints, trainImages, trainKeypoints, featureDetector);
cout << "\n done \n";
_getch();
return 0;
} // end main method
Обновить:
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\features2d\features2d.hpp>
#include <opencv2\contrib\contrib.hpp>
#include <iostream>
#include <fstream>
#include <conio.h>
#include <string>
using namespace std;
using namespace cv;
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames);
static bool readImages(const string& queryImageName, Mat& queryImage);
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames);
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, Ptr<FeatureDetector>& featureDetector);
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames)
{
trainFilenames.clear();
ifstream file(filename.c_str());
if(!file.is_open())
{
cout << "File can't open" << endl;
return;
}
size_t pos = filename.rfind("\\");
char dlmtr = '\\';
if(pos == String::npos)
{
pos = filename.rfind('/');
dlmtr = '/';
}
dirName = pos == string::npos ? "" : filename.substr(0, pos) + dlmtr;
while(!file.eof())
{
string str; getline(file, str);
if(str.empty()) break;
trainFilenames.push_back(str);
} // end while
file.close();
} // end void readTrainFilenames
static bool readImages(const string& queryImageName, Mat& queryImage)
{
cout << "reading images..." << endl;
queryImage = imread(queryImageName, CV_LOAD_IMAGE_GRAYSCALE);
if(queryImage.empty())
{
cout << "query image can not be read. \n";
return false;
} // end if
return true;
}
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames)
{
cout << "reading training images..." << endl;
string trainDirName = "D:/matching_to_many_images/";
readTrainFilenames(trainFilename, trainDirName, trainImageNames);
if(trainImageNames.empty())
{
cout << "Train image filenames can not be read." << endl;
return false;
} // end if
int readImageCount = 0;
for(size_t i = 0; i < trainImageNames.size(); i++)
{
string filename = trainDirName + trainImageNames[i];
Mat img = imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
if(img.empty())
{
cout << "Train image " << filename << " can not be read." << endl;
}
else
{
readImageCount++;
}// end if
trainImages.push_back(img);
} // end for
if(!readImageCount)
{
cout << "All train images can not be read." << endl;
return false;
}
else
{
cout << readImageCount << " train images were read." << endl;
}
cout << endl;
return true;
}
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, Ptr<FeatureDetector>& featureDetector){
cout << endl << "Extracting keypoints from images..." << endl;
featureDetector->detect(queryImage, queryKeypoints);
cout << endl;
} // end void detectKeypoints
int main()
{
const string defaultDetectorType = "SURF";
const string defaultDescriptorType = "SURF";
const string defaultMatcherType = "FlannBased";
const string defaultQueryImageName = "D:/matching_to_many_images/query.png";
const string defaultFileWithTrainImages = "D:/matching_to_many_images/train/trainImages.txt";
const string defaultDirToSaveResImages = "D:/matching_to_many_images/results";
Ptr<FeatureDetector> featureDetector;
Ptr<DescriptorExtractor> descriptorExtractor;
Ptr<DescriptorMatcher> descriptorMatcher;
Mat queryImages;
vector<Mat> trainImages;
vector<string> trainImagesNames;
vector<KeyPoint> queryKeypoints;
vector<vector<KeyPoint>> trainKeypoints;
if(!readImages(defaultQueryImageName, queryImages))
{
_getch();
return -1;
} // end if
if(!readTrainImages(defaultFileWithTrainImages, trainImages, trainImagesNames))
{
_getch();
return -1;
}
detectKeypoints(queryImages, queryKeypoints, featureDetector);
cout << "\n done \n";
_getch();
return 0;
} // end main method
РЕШЕННЫЕ ПРОБЛЕМЫ:
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\features2d\features2d.hpp>
#include <opencv2\contrib\contrib.hpp>
#include <opencv2\nonfree\nonfree.hpp>
#include <iostream>
#include <fstream>
#include <conio.h>
#include <string>
using namespace std;
using namespace cv;
const string defaultDetectorType = "SURF";
const string defaultDescriptorType = "SURF";
const string defaultMatcherType = "FlannBased";
const string defaultQueryImageName = "D:/matching_to_many_images/query.png";
const string defaultFileWithTrainImages = "D:/matching_to_many_images/train/trainImages.txt";
const string defaultDirToSaveResImages = "D:/matching_to_many_images/results";
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames);
static bool readImages(const string& queryImageName, Mat& queryImage);
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames);
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, Ptr<FeatureDetector>& featureDetector);
static bool createDetectorDescriptorMatcher(const string& detectorType,
const string& descriptorType,
const string& matcherType,
Ptr<FeatureDetector>& featureDetector,
Ptr<DescriptorExtractor>& descriptorExtractor,
Ptr<DescriptorMatcher>& descriptorMatcher);
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames)
{
trainFilenames.clear();
ifstream file(filename.c_str());
if(!file.is_open())
{
cout << "File can't open" << endl;
return;
}
size_t pos = filename.rfind("\\");
char dlmtr = '\\';
if(pos == String::npos)
{
pos = filename.rfind('/');
dlmtr = '/';
}
dirName = pos == string::npos ? "" : filename.substr(0, pos) + dlmtr;
while(!file.eof())
{
string str; getline(file, str);
if(str.empty()) break;
trainFilenames.push_back(str);
} // end while
file.close();
} // end void readTrainFilenames
static bool readImages(const string& queryImageName, Mat& queryImage)
{
cout << "reading images..." << endl;
queryImage = imread(queryImageName, CV_LOAD_IMAGE_GRAYSCALE);
if(queryImage.empty())
{
cout << "query image can not be read. \n";
return false;
} // end if
return true;
}
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames)
{
cout << "reading training images..." << endl;
string trainDirName = "D:/matching_to_many_images/";
readTrainFilenames(trainFilename, trainDirName, trainImageNames);
if(trainImageNames.empty())
{
cout << "Train image filenames can not be read." << endl;
return false;
} // end if
int readImageCount = 0;
for(size_t i = 0; i < trainImageNames.size(); i++)
{
string filename = trainDirName + trainImageNames[i];
Mat img = imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
if(img.empty())
{
cout << "Train image " << filename << " can not be read." << endl;
}
else
{
readImageCount++;
}// end if
trainImages.push_back(img);
} // end for
if(!readImageCount)
{
cout << "All train images can not be read." << endl;
return false;
}
else
{
cout << readImageCount << " train images were read." << endl;
}
cout << endl;
return true;
}
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, Ptr<FeatureDetector>& featureDetector){
cout << endl << "Extracting keypoints from images..." << endl;
if(queryImage.empty())
{
cout << "Query Image EMPTY" << endl;
}
else{
cout << "Query Image FILLED" << endl;
}
featureDetector->detect(queryImage, queryKeypoints);
cout << endl;
} // end void detectKeypoints
static bool createDetectorDescriptorMatcher(const string& detectorType,
const string& descriptorType,
const string& matcherType,
Ptr<FeatureDetector>& featureDetector,
Ptr<DescriptorExtractor>& descriptorExtractor,
Ptr<DescriptorMatcher>& descriptorMatcher)
{
cout << "Creating feature detector, descriptor extractor and descriptor matcher ... " << endl;
featureDetector = FeatureDetector::create(detectorType);
descriptorExtractor = DescriptorExtractor::create(descriptorType);
descriptorMatcher = DescriptorMatcher::create(matcherType);
cout << endl;
if(featureDetector.empty())
{
cout << "feature detector empty" << endl;
}
if(descriptorExtractor.empty())
{
cout << "descriptor extractor empty" << endl;
}
if(descriptorMatcher.empty())
{
cout << "descriptor matcher empty" << endl;
}
bool isCreated = !(featureDetector.empty() || descriptorExtractor.empty() || descriptorMatcher.empty());
if(!isCreated)
{
cout << "can not create feature detector or descriptor extractor or descriptor matcher of given types." << endl;
} // end if
return isCreated;
} // end void createDetectorDescriptorMatcher
int main()
{
initModule_nonfree();
string detectorType = defaultDetectorType;
string descriptorType = defaultDetectorType;
string matcherType = defaultMatcherType;
string queryImageName = defaultQueryImageName;
string fileWithTrainImages = defaultFileWithTrainImages;
string dirToSaveResImages = defaultDirToSaveResImages;
Ptr<FeatureDetector> featureDetector = FeatureDetector::create("SURF");
Ptr<DescriptorExtractor> descriptorExtractor = DescriptorExtractor::create("SURF");
Ptr<DescriptorMatcher> descriptorMatcher;
if(!createDetectorDescriptorMatcher(detectorType, descriptorType, matcherType, featureDetector, descriptorExtractor, descriptorMatcher))
{
_getch();
return -1;
}
Mat queryImages;
vector<Mat> trainImages;
vector<string> trainImagesNames;
vector<KeyPoint> queryKeypoints;
vector<vector<KeyPoint>> trainKeypoints;
if(!readImages(defaultQueryImageName, queryImages))
{
_getch();
return -1;
} // end if
if(!readTrainImages(defaultFileWithTrainImages, trainImages, trainImagesNames))
{
_getch();
return -1;
}
detectKeypoints(queryImages, queryKeypoints, featureDetector);
cout << "\n done \n";
_getch();
return 0;
} // end main method
ПОЛНЫЙ ОБРАЗЕЦ КОДОВ, ПОДХОДЯЩИХ К МНОГИМ ИЗОБРАЖЕНИЯМ
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\features2d\features2d.hpp>
#include <opencv2\contrib\contrib.hpp>
#include <opencv2\nonfree\nonfree.hpp>
#include <iostream>
#include <fstream>
#include <conio.h>
#include <string>
using namespace std;
using namespace cv;
const string defaultDetectorType = "SURF";
const string defaultDescriptorType = "SURF";
const string defaultMatcherType = "FlannBased";
const string defaultQueryImageName = "D:/matching_to_many_images/query.png";
const string defaultFileWithTrainImages = "D:/matching_to_many_images/train/trainImages.txt";
const string defaultDirToSaveResImages = "D:/matching_to_many_images/results";
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames);
static bool readImages(const string& queryImageName, Mat& queryImage);
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames);
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, const vector<Mat>& trainImages, vector<vector<KeyPoint>>& trainKeypoints, Ptr<FeatureDetector>& featureDetector);
static bool createDetectorDescriptorMatcher(const string& detectorType,
const string& descriptorType,
const string& matcherType,
Ptr<FeatureDetector>& featureDetector,
Ptr<DescriptorExtractor>& descriptorExtractor,
Ptr<DescriptorMatcher>& descriptorMatcher);
static void computeDescriptors(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, Mat& queryDescriptors,
const vector<Mat>& trainImages, vector<vector<KeyPoint>>& trainKeypoints, vector<Mat>& trainDescriptors,
Ptr<DescriptorExtractor>& descriptorExtractor);
static void matchDescriptors(const Mat& queryDescriptors, const vector<Mat>& trainDescriptors, vector<DMatch>& matches, Ptr<DescriptorMatcher>& descriptorMatcher);
static void maskMatchesByTrainImgIdx(const vector<DMatch>& matches, int trainImgIdx, vector<char>& mask);
static void readTrainFilenames(const string& filename, string& dirName, vector<string>& trainFilenames)
{
trainFilenames.clear();
ifstream file(filename.c_str());
if(!file.is_open())
{
cout << "File can't open" << endl;
return;
}
size_t pos = filename.rfind("\\");
char dlmtr = '\\';
if(pos == String::npos)
{
pos = filename.rfind('/');
dlmtr = '/';
}
dirName = pos == string::npos ? "" : filename.substr(0, pos) + dlmtr;
while(!file.eof())
{
string str; getline(file, str);
if(str.empty()) break;
trainFilenames.push_back(str);
} // end while
file.close();
} // end void readTrainFilenames
static bool readImages(const string& queryImageName, Mat& queryImage)
{
cout << "reading images..." << endl;
queryImage = imread(queryImageName, CV_LOAD_IMAGE_GRAYSCALE);
if(queryImage.empty())
{
cout << "query image can not be read. \n";
return false;
} // end if
return true;
}
static bool readTrainImages(const string& trainFilename, vector<Mat>& trainImages, vector<string>& trainImageNames)
{
cout << "reading training images..." << endl;
string trainDirName = "D:/matching_to_many_images/";
readTrainFilenames(trainFilename, trainDirName, trainImageNames);
if(trainImageNames.empty())
{
cout << "Train image filenames can not be read." << endl;
return false;
} // end if
int readImageCount = 0;
for(size_t i = 0; i < trainImageNames.size(); i++)
{
string filename = trainDirName + trainImageNames[i];
Mat img = imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
if(img.empty())
{
cout << "Train image " << filename << " can not be read." << endl;
}
else
{
readImageCount++;
}// end if
trainImages.push_back(img);
} // end for
if(!readImageCount)
{
cout << "All train images can not be read." << endl;
return false;
}
else
{
cout << readImageCount << " train images were read." << endl;
}
cout << endl;
return true;
}
static void detectKeypoints(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, const vector<Mat>& trainImages, vector<vector<KeyPoint>>& trainKeypoints, Ptr<FeatureDetector>& featureDetector){
cout << endl << "Extracting keypoints from images..." << endl;
if(queryImage.empty())
{
cout << "Query Image EMPTY" << endl;
}
else{
cout << "Query Image FILLED" << endl;
}
featureDetector->detect(queryImage, queryKeypoints);
featureDetector->detect(trainImages, trainKeypoints);
cout << endl;
} // end void detectKeypoints
static bool createDetectorDescriptorMatcher(const string& detectorType,
const string& descriptorType,
const string& matcherType,
Ptr<FeatureDetector>& featureDetector,
Ptr<DescriptorExtractor>& descriptorExtractor,
Ptr<DescriptorMatcher>& descriptorMatcher)
{
cout << "Creating feature detector, descriptor extractor and descriptor matcher ... " << endl;
featureDetector = FeatureDetector::create(detectorType);
descriptorExtractor = DescriptorExtractor::create(descriptorType);
descriptorMatcher = DescriptorMatcher::create(matcherType);
cout << endl;
if(featureDetector.empty())
{
cout << "feature detector empty" << endl;
}
if(descriptorExtractor.empty())
{
cout << "descriptor extractor empty" << endl;
}
if(descriptorMatcher.empty())
{
cout << "descriptor matcher empty" << endl;
}
bool isCreated = !(featureDetector.empty() || descriptorExtractor.empty() || descriptorMatcher.empty());
if(!isCreated)
{
cout << "can not create feature detector or descriptor extractor or descriptor matcher of given types." << endl;
} // end if
return isCreated;
} // end void createDetectorDescriptorMatcher
static void computeDescriptors(const Mat& queryImage, vector<KeyPoint>& queryKeypoints, Mat& queryDescriptors,
const vector<Mat>& trainImages, vector<vector<KeyPoint>>& trainKeypoints, vector<Mat>& trainDescriptors,
Ptr<DescriptorExtractor>& descriptorExtractor)
{
cout << "computing descriptors for keypoints..." << endl;
descriptorExtractor->compute(queryImage, queryKeypoints, queryDescriptors);
descriptorExtractor->compute(trainImages, trainKeypoints, trainDescriptors);
int totalTrainDesc = 0;
for(vector<Mat>::const_iterator tdIter = trainDescriptors.begin(); tdIter != trainDescriptors.end(); tdIter++)
totalTrainDesc += tdIter->rows;
cout << "Query descriptors count : " << queryDescriptors.rows << "; Total train descriptors count : " << totalTrainDesc << endl;
cout << endl;
} // end void computeDescriptors
static void matchDescriptors(const Mat& queryDescriptors, const vector<Mat>& trainDescriptors, vector<DMatch>& matches, Ptr<DescriptorMatcher>& descriptorMatcher)
{
cout << "Set train descriptors collection in the matcher and match query descriptors to them..." << endl;
TickMeter tm;
tm.start();
descriptorMatcher->add(trainDescriptors);
descriptorMatcher->train();
tm.stop();
double buildTime = tm.getTimeMilli();
tm.start();
descriptorMatcher->match(queryDescriptors, matches);
tm.stop();
double matchTime = tm.getTimeMilli();
CV_Assert(queryDescriptors.rows == (int)matches.size() || matches.empty());
cout << "Number of matches: " << matches.size() << endl;
cout << "Build time: " << buildTime << " ms; Match time: " << matchTime << " ms" << endl;
cout << endl;
} // end void matchDescriptors
static void saveResultImages(const Mat& queryImage, const vector<KeyPoint>& queryKeypoints,
const vector<Mat>& trainImages, const vector<vector<KeyPoint>> &trainKeypoints, const vector<DMatch>& matches,
const vector<string>& trainImageNames, const string& resultDir)
{
cout << "Save results..." << endl;
Mat drawImg;
vector<char> mask;
for(size_t i = 0; i < trainImages.size(); i++)
{
if(!trainImages[i].empty())
{
maskMatchesByTrainImgIdx(matches, (int)i, mask);
drawMatches(queryImage, queryKeypoints, trainImages[i], trainKeypoints[i], matches, drawImg, Scalar(255, 0, 0), Scalar(0, 255, 255), mask);
string filename = resultDir + "/res_" + trainImageNames[i];
if(!imwrite(filename, drawImg))
{
cout << "Image " << filename << " can not be saved (may be because directory " << resultDir << " does not exist" << endl;
} // end if
} // end if
}
} // end void saveResultImages
static void maskMatchesByTrainImgIdx(const vector<DMatch>& matches, int trainImgIdx, vector<char>& mask)
{
mask.resize(matches.size());
fill(mask.begin(), mask.end(), 0);
for(size_t i = 0; i < matches.size(); i++)
{
if(matches[i].imgIdx == trainImgIdx)
{
mask[i] = 1;
}
}
} // end void maskMatchesByTrainImgIdx
int main()
{
initModule_nonfree();
string detectorType = defaultDetectorType;
string descriptorType = defaultDetectorType;
string matcherType = defaultMatcherType;
string queryImageName = defaultQueryImageName;
string fileWithTrainImages = defaultFileWithTrainImages;
string dirToSaveResImages = defaultDirToSaveResImages;
Ptr<FeatureDetector> featureDetector = FeatureDetector::create("SURF");
Ptr<DescriptorExtractor> descriptorExtractor = DescriptorExtractor::create("SURF");
Ptr<DescriptorMatcher> descriptorMatcher;
if(!createDetectorDescriptorMatcher(detectorType, descriptorType, matcherType, featureDetector, descriptorExtractor, descriptorMatcher))
{
_getch();
return -1;
}
Mat queryImages;
vector<Mat> trainImages;
vector<string> trainImagesNames;
vector<KeyPoint> queryKeypoints;
vector<vector<KeyPoint>> trainKeypoints;
if(!readImages(defaultQueryImageName, queryImages))
{
_getch();
return -1;
} // end if
if(!readTrainImages(defaultFileWithTrainImages, trainImages, trainImagesNames))
{
_getch();
return -1;
}
detectKeypoints(queryImages, queryKeypoints, trainImages, trainKeypoints, featureDetector);
Mat queryDescriptors;
vector<Mat> trainDescriptors;
computeDescriptors(queryImages, queryKeypoints, queryDescriptors, trainImages, trainKeypoints, trainDescriptors, descriptorExtractor);
vector<DMatch> matches;
matchDescriptors(queryDescriptors, trainDescriptors, matches, descriptorMatcher);
saveResultImages(queryImages, queryKeypoints, trainImages, trainKeypoints, matches, trainImagesNames, dirToSaveResImages);
cout << "\n done \n";
_getch();
return 0;
} // end main method