Repository for OpenCV's extra modules
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/**************************************************************************************
The structered edge demo requires you to provide a model.
This model can be found at the opencv_extra repository on Github on the following link:
https://github.com/Itseez/opencv_extra/blob/master/testdata/cv/ximgproc/model.yml.gz
***************************************************************************************/
#include <opencv2/ximgproc.hpp>
#include "opencv2/highgui.hpp"
#include "opencv2/core/utility.hpp"
using namespace cv;
using namespace cv::ximgproc;
const char* keys =
{
"{i || input image name}"
"{m || model name}"
"{o || output image name}"
};
int main( int argc, const char** argv )
{
bool printHelp = ( argc == 1 );
printHelp = printHelp || ( argc == 2 && std::string(argv[1]) == "--help" );
printHelp = printHelp || ( argc == 2 && std::string(argv[1]) == "-h" );
if ( printHelp )
{
printf("\nThis sample demonstrates structured forests for fast edge detection\n"
"Call:\n"
" structured_edge_detection -i=in_image_name -m=model_name [-o=out_image_name]\n\n");
return 0;
}
cv::CommandLineParser parser(argc, argv, keys);
if ( !parser.check() )
{
parser.printErrors();
return -1;
}
std::string modelFilename = parser.get<std::string>("m");
std::string inFilename = parser.get<std::string>("i");
std::string outFilename = parser.get<std::string>("o");
cv::Mat image = cv::imread(inFilename, 1);
if ( image.empty() )
{
printf("Cannot read image file: %s\n", inFilename.c_str());
return -1;
}
image.convertTo(image, cv::DataType<float>::type, 1/255.0);
cv::Mat edges(image.size(), image.type());
cv::Ptr<StructuredEdgeDetection> pDollar =
createStructuredEdgeDetection(modelFilename);
pDollar->detectEdges(image, edges);
if ( outFilename == "" )
{
cv::namedWindow("edges", 1);
cv::imshow("edges", edges);
cv::waitKey(0);
}
else
cv::imwrite(outFilename, 255*edges);
return 0;
}