- iOS/Objective-C 元类和类别
- objective-c - -1001 错误,当 NSURLSession 通过 httpproxy 和/etc/hosts
- java - 使用网络类获取 url 地址
- ios - 推送通知中不播放声音
我尝试了关于匹配 OpenCV 2.4.5 中的许 multimap 像的示例代码,并修改了该代码。我找到了错误代码:
Unhandled exception at 0x585a7090 in testing.exe:
0xC0000005: Access violation reading location 0x00000000.
它的错误在 featureDetector->detect(queryImage, queryKeypoints)
。
我找不到那个问题的解决方案。请帮助我。
#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
与许 multimap 像匹配的完整示例代码:
#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
最佳答案
documentation for class FeatureDetector
表示,它是一个抽象基类,这意味着您不应该能够创建该类的实例。这是 OpenCV 的错,编译器没有提示!
尝试添加:
Ptr<FeatureDetector> featureDetector = FeatureDetector::create(defaultDetectorType);
更新:
我的下一个建议是降低复杂性。简化主程序,直到你有一个最小的工作版本:
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);
}
如果以上版本有效,开始添加更多功能(慢慢地),直到您到达当前版本。一旦错误再次出现,您就知道最后添加的部分是罪魁祸首,您可以专注于此。
如果上面的版本不行,你至少创建了一个SSCCE ,您可以尝试修复(在其他人的帮助下)。
顺便说一句:错误消息告诉你,你的程序正在尝试读取内存位置 0x00000000
这是一个指示符,你正在使用未初始化的数据结构,但我不确定在哪里问题出在你的程序中。
关于c++ - FeatureDetector OpenCV 2.4.5 中的访问违规读取,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/16516023/
#include using namespace std; class C{ private: int value; public: C(){ value = 0;
这个问题已经有答案了: What is the difference between char a[] = ?string?; and char *p = ?string?;? (8 个回答) 已关闭
关闭。此题需要details or clarity 。目前不接受答案。 想要改进这个问题吗?通过 editing this post 添加详细信息并澄清问题. 已关闭 7 年前。 此帖子已于 8 个月
除了调试之外,是否有任何针对 c、c++ 或 c# 的测试工具,其工作原理类似于将独立函数复制粘贴到某个文本框,然后在其他文本框中输入参数? 最佳答案 也许您会考虑单元测试。我推荐你谷歌测试和谷歌模拟
我想在第二台显示器中移动一个窗口 (HWND)。问题是我尝试了很多方法,例如将分辨率加倍或输入负值,但它永远无法将窗口放在我的第二台显示器上。 关于如何在 C/C++/c# 中执行此操作的任何线索 最
我正在寻找 C/C++/C## 中不同类型 DES 的现有实现。我的运行平台是Windows XP/Vista/7。 我正在尝试编写一个 C# 程序,它将使用 DES 算法进行加密和解密。我需要一些实
很难说出这里要问什么。这个问题模棱两可、含糊不清、不完整、过于宽泛或夸夸其谈,无法以目前的形式得到合理的回答。如需帮助澄清此问题以便重新打开,visit the help center . 关闭 1
有没有办法强制将另一个 窗口置于顶部? 不是应用程序的窗口,而是另一个已经在系统上运行的窗口。 (Windows, C/C++/C#) 最佳答案 SetWindowPos(that_window_ha
假设您可以在 C/C++ 或 Csharp 之间做出选择,并且您打算在 Windows 和 Linux 服务器上运行同一服务器的多个实例,那么构建套接字服务器应用程序的最明智选择是什么? 最佳答案 如
你们能告诉我它们之间的区别吗? 顺便问一下,有什么叫C++库或C库的吗? 最佳答案 C++ 标准库 和 C 标准库 是 C++ 和 C 标准定义的库,提供给 C++ 和 C 程序使用。那是那些词的共同
下面的测试代码,我将输出信息放在注释中。我使用的是 gcc 4.8.5 和 Centos 7.2。 #include #include class C { public:
很难说出这里问的是什么。这个问题是含糊的、模糊的、不完整的、过于宽泛的或修辞性的,无法以目前的形式得到合理的回答。如需帮助澄清此问题以便重新打开它,visit the help center 。 已关
我的客户将使用名为 annoucement 的结构/类与客户通信。我想我会用 C++ 编写服务器。会有很多不同的类继承annoucement。我的问题是通过网络将这些类发送给客户端 我想也许我应该使用
我在 C# 中有以下函数: public Matrix ConcatDescriptors(IList> descriptors) { int cols = descriptors[0].Co
我有一个项目要编写一个函数来对某些数据执行某些操作。我可以用 C/C++ 编写代码,但我不想与雇主共享该函数的代码。相反,我只想让他有权在他自己的代码中调用该函数。是否可以?我想到了这两种方法 - 在
我使用的是编写糟糕的第 3 方 (C/C++) Api。我从托管代码(C++/CLI)中使用它。有时会出现“访问冲突错误”。这使整个应用程序崩溃。我知道我无法处理这些错误[如果指针访问非法内存位置等,
关闭。这个问题不符合Stack Overflow guidelines .它目前不接受答案。 我们不允许提问寻求书籍、工具、软件库等的推荐。您可以编辑问题,以便用事实和引用来回答。 关闭 7 年前。
已关闭。此问题不符合Stack Overflow guidelines 。目前不接受答案。 要求我们推荐或查找工具、库或最喜欢的场外资源的问题对于 Stack Overflow 来说是偏离主题的,因为
我有一些 C 代码,将使用 P/Invoke 从 C# 调用。我正在尝试为这个 C 函数定义一个 C# 等效项。 SomeData* DoSomething(); struct SomeData {
这个问题已经有答案了: Why are these constructs using pre and post-increment undefined behavior? (14 个回答) 已关闭 6
我是一名优秀的程序员,十分优秀!