mirror of
https://github.com/opencv/opencv.git
synced 2024-11-30 06:10:02 +08:00
ed207d79e7
* Added accumulator value to the output of HoughLines and HoughCircles * imgproc: refactor Hough patch - eliminate code duplication - fix type handling, fix OpenCL code - fix test data generation - re-generated test data in debug mode via plain CPU code path
116 lines
3.6 KiB
C++
116 lines
3.6 KiB
C++
// 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 syntetic 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 syntetic 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
|