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This commit is contained in:
Gary Bradski 2010-11-29 07:54:10 +00:00
parent 1066bd2fa2
commit edc41d4cab
1 changed files with 21 additions and 19 deletions
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40
samples/cpp/matching_to_many_images.cpp
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@ -7,16 +7,6 @@
using namespace cv; using namespace cv;
using namespace std; using namespace std;
/*
* This is a sample on matching descriptors detected on one image to descriptors detected in image set.
* So we have one query image and several train images. For each keypoint descriptor of query image
* the one nearest train descriptor is found the entire collection of train images. To visualize the result
* of matching we save images, each of which combines query and train image with matches between them (if they exist).
* Match is drawn as line between corresponding points. Count of all matches is equel to count of
* query keypoints, so we have the same count of lines in all set of result images (but not for each result
* (train) image).
*/
const string defaultDetectorType = "SURF"; const string defaultDetectorType = "SURF";
const string defaultDescriptorType = "SURF"; const string defaultDescriptorType = "SURF";
const string defaultMatcherType = "FlannBased"; const string defaultMatcherType = "FlannBased";
@ -24,6 +14,27 @@ const string defaultQueryImageName = "../../opencv/samples/cpp/matching_to_many_
const string defaultFileWithTrainImages = "../../opencv/samples/cpp/matching_to_many_images/train/trainImages.txt"; const string defaultFileWithTrainImages = "../../opencv/samples/cpp/matching_to_many_images/train/trainImages.txt";
const string defaultDirToSaveResImages = "../../opencv/samples/cpp/matching_to_many_images/results"; const string defaultDirToSaveResImages = "../../opencv/samples/cpp/matching_to_many_images/results";
void printPrompt( const string& applName )
{
cout << "/*\n"
<< " * This is a sample on matching descriptors detected on one image to descriptors detected in image set.\n"
<< " * So we have one query image and several train images. For each keypoint descriptor of query image\n"
<< " * the one nearest train descriptor is found the entire collection of train images. To visualize the result\n"
<< " * of matching we save images, each of which combines query and train image with matches between them (if they exist).\n"
<< " * Match is drawn as line between corresponding points. Count of all matches is equel to count of\n"
<< " * query keypoints, so we have the same count of lines in all set of result images (but not for each result\n"
<< " * (train) image).\n"
<< " */\n" << endl;
cout << endl << "Format:" << endl;
cout << "./" << applName << " [detectorType] [descriptorType] [matcherType] [queryImage] [fileWithTrainImages] [dirToSaveResImages]" << endl;
cout << endl;
cout << "\nExample:" << endl
<< "./" << applName << " " << defaultDetectorType << " " << defaultDescriptorType << " " << defaultMatcherType << " "
<< defaultQueryImageName << " " << defaultFileWithTrainImages << " " << defaultDirToSaveResImages << endl;
}
void maskMatchesByTrainImgIdx( const vector<DMatch>& matches, int trainImgIdx, vector<char>& mask ) void maskMatchesByTrainImgIdx( const vector<DMatch>& matches, int trainImgIdx, vector<char>& mask )
{ {
mask.resize( matches.size() ); mask.resize( matches.size() );
@ -166,15 +177,6 @@ void saveResultImages( const Mat& queryImage, const vector<KeyPoint>& queryKeypo
cout << ">" << endl; cout << ">" << endl;
} }
void printPrompt( const string& applName )
{
cout << endl << "Format:" << endl;
cout << applName << " [detectorType] [descriptorType] [matcherType] [queryImage] [fileWithTrainImages] [dirToSaveResImages]" << endl;
cout << endl << "Example:" << endl
<< defaultDetectorType << " " << defaultDescriptorType << " " << defaultMatcherType << " "
<< defaultQueryImageName << " " << defaultFileWithTrainImages << " " << defaultDirToSaveResImages << endl;
}
int main(int argc, char** argv) int main(int argc, char** argv)
{ {
string detectorType = defaultDetectorType; string detectorType = defaultDetectorType;