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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "perf_precomp.hpp"
namespace opencv_test {
typedef tuple<string, double, double, double> Image_RhoStep_ThetaStep_Threshold_t;
typedef perf::TestBaseWithParam<Image_RhoStep_ThetaStep_Threshold_t> Image_RhoStep_ThetaStep_Threshold;
PERF_TEST_P(Image_RhoStep_ThetaStep_Threshold, HoughLines,
testing::Combine(
testing::Values( "cv/shared/pic5.png", "stitching/a1.png" ),
testing::Values( 1, 10 ),
testing::Values( 0.01, 0.1 ),
testing::Values( 0.5, 1.1 )
)
)
{
string filename = getDataPath(get<0>(GetParam()));
double rhoStep = get<1>(GetParam());
double thetaStep = get<2>(GetParam());
double threshold_ratio = get<3>(GetParam());
Mat image = imread(filename, IMREAD_GRAYSCALE);
if (image.empty())
FAIL() << "Unable to load source image" << filename;
Canny(image, image, 32, 128);
// add some synthetic lines:
line(image, Point(0, 0), Point(image.cols, image.rows), Scalar::all(255), 3);
line(image, Point(image.cols, 0), Point(image.cols/2, image.rows), Scalar::all(255), 3);
vector<Vec2f> lines;
declare.time(60);
int hough_threshold = (int)(std::min(image.cols, image.rows) * threshold_ratio);
TEST_CYCLE() HoughLines(image, lines, rhoStep, thetaStep, hough_threshold);
printf("%dx%d: %d lines\n", image.cols, image.rows, (int)lines.size());
if (threshold_ratio < 1.0)
{
EXPECT_GE(lines.size(), 2u);
}
EXPECT_LT(lines.size(), 3000u);
#if 0
cv::cvtColor(image,image,cv::COLOR_GRAY2BGR);
for( size_t i = 0; i < lines.size(); i++ )
{
float rho = lines[i][0], theta = lines[i][1];
Point pt1, pt2;
double a = cos(theta), b = sin(theta);
double x0 = a*rho, y0 = b*rho;
pt1.x = cvRound(x0 + 1000*(-b));
pt1.y = cvRound(y0 + 1000*(a));
pt2.x = cvRound(x0 - 1000*(-b));
pt2.y = cvRound(y0 - 1000*(a));
line(image, pt1, pt2, Scalar(0,0,255), 1, cv::LINE_AA);
}
cv::imshow("result", image);
cv::waitKey();
#endif
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(Image_RhoStep_ThetaStep_Threshold, HoughLines3f,
testing::Combine(
testing::Values( "cv/shared/pic5.png", "stitching/a1.png" ),
testing::Values( 1, 10 ),
testing::Values( 0.01, 0.1 ),
testing::Values( 0.5, 1.1 )
)
)
{
string filename = getDataPath(get<0>(GetParam()));
double rhoStep = get<1>(GetParam());
double thetaStep = get<2>(GetParam());
double threshold_ratio = get<3>(GetParam());
Mat image = imread(filename, IMREAD_GRAYSCALE);
if (image.empty())
FAIL() << "Unable to load source image" << filename;
Canny(image, image, 32, 128);
// add some synthetic lines:
line(image, Point(0, 0), Point(image.cols, image.rows), Scalar::all(255), 3);
line(image, Point(image.cols, 0), Point(image.cols/2, image.rows), Scalar::all(255), 3);
vector<Vec3f> lines;
declare.time(60);
int hough_threshold = (int)(std::min(image.cols, image.rows) * threshold_ratio);
TEST_CYCLE() HoughLines(image, lines, rhoStep, thetaStep, hough_threshold);
printf("%dx%d: %d lines\n", image.cols, image.rows, (int)lines.size());
if (threshold_ratio < 1.0)
{
EXPECT_GE(lines.size(), 2u);
}
EXPECT_LT(lines.size(), 3000u);
SANITY_CHECK_NOTHING();
}
} // namespace
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