Commit e11951c1 authored by Alexander Alekhin's avatar Alexander Alekhin

Merge pull request #883 from sovrasov:structured_edge_det_rounding_fix

parents f427be6e 98f305e4
......@@ -7,6 +7,7 @@ https://github.com/opencv/opencv_extra/blob/master/testdata/cv/ximgproc/model.ym
#include <opencv2/ximgproc.hpp>
#include "opencv2/highgui.hpp"
#include "opencv2/core/utility.hpp"
#include <iostream>
using namespace cv;
using namespace cv::ximgproc;
......@@ -21,52 +22,51 @@ const char* keys =
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" );
printHelp = printHelp || ( argc == 2 && String(argv[1]) == "--help" );
printHelp = printHelp || ( argc == 2 && String(argv[1]) == "-h" );
if ( printHelp )
{
printf("\nThis sample demonstrates structured forests for fast edge detection\n"
std::cout << "\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");
" structured_edge_detection -i=in_image_name -m=model_name [-o=out_image_name]\n\n";
return 0;
}
cv::CommandLineParser parser(argc, argv, keys);
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");
String modelFilename = parser.get<String>("m");
String inFilename = parser.get<String>("i");
String outFilename = parser.get<String>("o");
cv::Mat image = cv::imread(inFilename, 1);
Mat image = imread(inFilename, 1);
if ( image.empty() )
{
printf("Cannot read image file: %s\n", inFilename.c_str());
return -1;
}
CV_Error(Error::StsError, String("Cannot read image file: ") + inFilename);
image.convertTo(image, cv::DataType<float>::type, 1/255.0);
if ( modelFilename.size() == 0)
CV_Error(Error::StsError, String("Empty model name"));
cv::Mat edges(image.size(), image.type());
image.convertTo(image, DataType<float>::type, 1/255.0);
cv::Ptr<StructuredEdgeDetection> pDollar =
Mat edges(image.size(), image.type());
Ptr<StructuredEdgeDetection> pDollar =
createStructuredEdgeDetection(modelFilename);
pDollar->detectEdges(image, edges);
if ( outFilename == "" )
if ( outFilename.size() == 0 )
{
cv::namedWindow("edges", 1);
cv::imshow("edges", edges);
cv::waitKey(0);
namedWindow("edges", 1);
imshow("edges", edges);
waitKey(0);
}
else
cv::imwrite(outFilename, 255*edges);
imwrite(outFilename, 255*edges);
return 0;
}
......@@ -235,6 +235,7 @@ static void gradientHist(const cv::Mat &src, cv::Mat &magnitude, cv::Mat &histog
magnitude /= imsmooth( magnitude, gnrmRad )
+ 0.01*cv::Mat::ones( magnitude.size(), magnitude.type() );
int pHistSize = histogram.cols*histogram.channels() - 1;
for (int i = 0; i < phase.rows; ++i)
{
const float *pPhase = phase.ptr<float>(i);
......@@ -243,7 +244,11 @@ static void gradientHist(const cv::Mat &src, cv::Mat &magnitude, cv::Mat &histog
float *pHist = histogram.ptr<float>(i/pSize);
for (int j = 0; j < phase.cols; ++j)
pHist[cvRound((j/pSize + pPhase[j])*nBins)] += pMagn[j] / CV_SQR(pSize);
{
int index = cvRound((j/pSize + pPhase[j])*nBins);
index = std::max(0, std::min(index, pHistSize));
pHist[index] += pMagn[j] / CV_SQR(pSize);
}
}
}
......
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