samples: use findFile() in "cpp"

This commit is contained in:
Alexander Alekhin
2018-10-31 15:48:56 +03:00
committed by Alexander Alekhin
parent 2fa9bd221d
commit c4c31f5bba
52 changed files with 359 additions and 286 deletions
+19 -19
View File
@@ -12,7 +12,7 @@ static void help()
{
cout << "\n This program demonstrates how to detect compute and match ORB BRISK and AKAZE descriptors \n"
"Usage: \n"
" ./matchmethod_orb_akaze_brisk --image1=<image1(../data/basketball1.png as default)> --image2=<image2(../data/basketball2.png as default)>\n"
" ./matchmethod_orb_akaze_brisk --image1=<image1(basketball1.png as default)> --image2=<image2(basketball2.png as default)>\n"
"Press a key when image window is active to change algorithm or descriptor";
}
@@ -28,34 +28,34 @@ int main(int argc, char *argv[])
typeDesc.push_back("AKAZE"); // see http://docs.opencv.org/trunk/d8/d30/classcv_1_1AKAZE.html
typeDesc.push_back("ORB"); // see http://docs.opencv.org/trunk/de/dbf/classcv_1_1BRISK.html
typeDesc.push_back("BRISK"); // see http://docs.opencv.org/trunk/db/d95/classcv_1_1ORB.html
// This algorithm would be used to match descriptors see http://docs.opencv.org/trunk/db/d39/classcv_1_1DescriptorMatcher.html#ab5dc5036569ecc8d47565007fa518257
// This algorithm would be used to match descriptors see http://docs.opencv.org/trunk/db/d39/classcv_1_1DescriptorMatcher.html#ab5dc5036569ecc8d47565007fa518257
typeAlgoMatch.push_back("BruteForce");
typeAlgoMatch.push_back("BruteForce-L1");
typeAlgoMatch.push_back("BruteForce-Hamming");
typeAlgoMatch.push_back("BruteForce-Hamming(2)");
cv::CommandLineParser parser(argc, argv,
"{ @image1 | ../data/basketball1.png | }"
"{ @image2 | ../data/basketball2.png | }"
"{ @image1 | basketball1.png | }"
"{ @image2 | basketball2.png | }"
"{help h ||}");
if (parser.has("help"))
{
help();
return 0;
}
fileName.push_back(parser.get<string>(0));
fileName.push_back(parser.get<string>(1));
fileName.push_back(samples::findFile(parser.get<string>(0)));
fileName.push_back(samples::findFile(parser.get<string>(1)));
Mat img1 = imread(fileName[0], IMREAD_GRAYSCALE);
Mat img2 = imread(fileName[1], IMREAD_GRAYSCALE);
if (img1.rows*img1.cols <= 0)
{
cout << "Image " << fileName[0] << " is empty or cannot be found\n";
return(0);
}
if (img2.rows*img2.cols <= 0)
{
cout << "Image " << fileName[1] << " is empty or cannot be found\n";
return(0);
}
if (img1.empty())
{
cerr << "Image " << fileName[0] << " is empty or cannot be found" << endl;
return 1;
}
if (img2.empty())
{
cerr << "Image " << fileName[1] << " is empty or cannot be found" << endl;
return 1;
}
vector<double> desMethCmp;
Ptr<Feature2D> b;
@@ -74,10 +74,10 @@ int main(int argc, char *argv[])
vector<String>::iterator itMatcher = typeAlgoMatch.end();
if (*itDesc == "AKAZE-DESCRIPTOR_KAZE_UPRIGHT"){
b = AKAZE::create(AKAZE::DESCRIPTOR_KAZE_UPRIGHT);
}
}
if (*itDesc == "AKAZE"){
b = AKAZE::create();
}
}
if (*itDesc == "ORB"){
b = ORB::create();
}
@@ -157,12 +157,12 @@ int main(int argc, char *argv[])
}
catch (const Exception& e)
{
cerr << "Exception: " << e.what() << endl;
cout << "Feature : " << *itDesc << "\n";
if (itMatcher != typeAlgoMatch.end())
{
cout << "Matcher : " << *itMatcher << "\n";
}
cout << e.msg << endl;
}
}
int i=0;