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C-API cleanup: apps, imgproc_c and some constants #25075 Merge with https://github.com/opencv/opencv_contrib/pull/3642 * Removed obsolete apps - traincascade and createsamples (please use older OpenCV versions if you need them). These apps relied heavily on C-API * removed all mentions of imgproc C-API headers (imgproc_c.h, types_c.h) - they were empty, included core C-API headers * replaced usage of several C constants with C++ ones (error codes, norm modes, RNG modes, PCA modes, ...) - most part of this PR (split into two parts - all modules and calib+3d - for easier backporting) * removed imgproc C-API headers (as separate commit, so that other changes could be backported to 4.x) Most of these changes can be backported to 4.x.
85 lines
2.2 KiB
C++
85 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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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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