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8a62b03761
C-API cleanup for OpenCV 5.x (imgproc, highgui) * imgproc: C-API cleanup * imgproc: increase cvtColor test diff threshold * imgproc: C-API cleanup pt.2 * imgproc: C-API cleanup pt.3 * imgproc: C-API cleanup pt.4 * imgproc: C-API cleanup pt.5 * imgproc: C-API cleanup pt.5 * imgproc: C-API cleanup pt.6 * highgui: C-API cleanup * highgui: C-API cleanup pt.2 * highgui: C-API cleanup pt.3 * highgui: C-API cleanup pt.3 * imgproc: C-API cleanup pt.7 * fixup! highgui: C-API cleanup pt.3 * fixup! imgproc: C-API cleanup pt.6 * imgproc: C-API cleanup pt.8 * imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9
86 lines
2.2 KiB
C++
86 lines
2.2 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "perf_precomp.hpp"
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#include "opencv2/imgproc/types_c.h"
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namespace opencv_test {
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PERF_TEST(PerfHoughCircles, Basic)
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{
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string filename = getDataPath("cv/imgproc/stuff.jpg");
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const double dp = 1.0;
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double minDist = 20;
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double edgeThreshold = 20;
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double accumThreshold = 30;
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int minRadius = 20;
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int maxRadius = 200;
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Mat img = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty()) << "Unable to load source image " << filename;
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GaussianBlur(img, img, Size(9, 9), 2, 2);
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vector<Vec3f> circles;
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declare.in(img);
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TEST_CYCLE()
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{
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HoughCircles(img, circles, cv::HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
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}
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST(PerfHoughCircles2, ManySmallCircles)
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{
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string filename = getDataPath("cv/imgproc/beads.jpg");
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const double dp = 1.0;
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double minDist = 10;
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double edgeThreshold = 90;
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double accumThreshold = 11;
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int minRadius = 7;
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int maxRadius = 18;
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Mat img = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty()) << "Unable to load source image " << filename;
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vector<Vec3f> circles;
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declare.in(img);
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TEST_CYCLE()
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{
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HoughCircles(img, circles, cv::HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
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}
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST(PerfHoughCircles4f, Basic)
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{
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string filename = getDataPath("cv/imgproc/stuff.jpg");
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const double dp = 1.0;
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double minDist = 20;
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double edgeThreshold = 20;
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double accumThreshold = 30;
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int minRadius = 20;
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int maxRadius = 200;
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Mat img = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty()) << "Unable to load source image " << filename;
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GaussianBlur(img, img, Size(9, 9), 2, 2);
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vector<Vec4f> circles;
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declare.in(img);
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TEST_CYCLE()
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{
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HoughCircles(img, circles, cv::HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
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}
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SANITY_CHECK_NOTHING();
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}
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} // namespace
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