FeatureDetector OpenCV 2.4.5中的访问冲突读取 [英] Access violation reading in FeatureDetector OpenCV 2.4.5
本文介绍了FeatureDetector OpenCV 2.4.5中的访问冲突读取的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我在 OpenCV 2.4.5 中尝试了有关与许多图像匹配的示例代码，并修改了该代码.我发现了错误代码:
I tried the sample codes about matching to many images in OpenCV 2.4.5 and I modified that code. I found the error code:
Unhandled exception at 0x585a7090 in testing.exe:
0xC0000005: Access violation reading location 0x00000000.
它的故障是在featureDetector->detect(queryImage, queryKeypoints).
我无法从该问题中找到解决方案. 请帮助我.
I can't find the solution from that problem. Please help me.
#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
更新:
#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
已解决的问题:
#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
匹配许多图像的完整示例代码:
#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
推荐答案
The documentation for class FeatureDetector says, that it is an abstract base class, which means that you should not be able to create an instance of that class. It is OpenCV's fault, that the compiler is not complaining!
尝试添加:
Ptr<FeatureDetector> featureDetector = FeatureDetector::create(defaultDetectorType);
更新:
我的下一个建议是减少复杂性.简化主程序，直到有了最低工作版本:
My next suggestion would be to reduce complexity. Simplify the main program until you have a minimal working version:
int main()
{
cv::initModule_nonfree(); // to load SURF/SIFT etc.
std::vector<cv::KeyPoint> queryKeypoints;
cv::Mat queryImage = cv::imread(FILENAME, CV_LOAD_IMAGE_GRAYSCALE);
cv::Ptr<FeatureDetector> featureDetector = cv::FeatureDetector::create("SURF");
featureDetector->detect(queryImage, queryKeypoints);
}
如果上述版本有效，请开始(慢慢地)添加更多功能，直到获得当前版本为止.错误再次出现时，您知道最后添加的部分是罪魁祸首，您可以专注于此.
If the above version works, start adding more functionality (slowly), until you arrive at your current version. The moment the error comes back, you know that the last added part is the culprit and you can focus on that.
如果以上版本不起作用，则您至少已创建一个 SSCCE ，您可以尝试修复该错误(在其他人的帮助下).
If the above version does not work, you have at least created a SSCCE, which you can try to fix (with the help of others).
BTW:错误消息告诉您，您的程序正在尝试读取内存位置0x00000000，这是一个指标，您正在使用未初始化的数据结构，但是我不确定程序中的问题所在
BTW: The error message is telling you, that your program is trying to read memory location 0x00000000 which is an indicator, that you are using an uninitialized data structure, but I am not sure where the problem is in your program.
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