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47426a8ae5
* goodFeaturesToTrack returns also corner value (cherry picked from commit4a8f06755c) * Added response to GFTT Detector keypoints (cherry picked from commitb88fb40c6e) * Moved corner values to another optional variable to preserve backward compatibility (cherry picked from commit6137383d32) * Removed corners valus from perf tests and better unit tests for corners values (cherry picked from commitf3d0ef21a7) * Fixed detector gftt call (cherry picked from commitbe2975553b) * Restored test_cornerEigenValsVecs (cherry picked from commitea3e11811f) * scaling fixed; mineigen calculation rolled back; gftt function overload added (with quality parameter); perf tests were added for the new api function; external bindings were added for the function (with different alias); fixed issues with composition of the output array of the new function (e.g. as requested in comments) ; added sanity checks in the perf tests; removed C API changes. * minor change to GFTTDetector::detect * substitute ts->printf with EXPECT_LE * avoid re-allocations Co-authored-by: Anas <anas.el.amraoui@live.com> Co-authored-by: amir.tulegenov <amir.tulegenov@xperience.ai>
78 lines
2.9 KiB
C++
78 lines
2.9 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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typedef tuple<string, int, double, int, int, bool> Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris_t;
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typedef perf::TestBaseWithParam<Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris_t> Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris;
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PERF_TEST_P(Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris, goodFeaturesToTrack,
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testing::Combine(
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testing::Values( "stitching/a1.png", "cv/shared/pic5.png"),
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testing::Values( 100, 500 ),
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testing::Values( 0.1, 0.01 ),
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testing::Values( 3, 5 ),
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testing::Values( 3, 5 ),
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testing::Bool()
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)
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)
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{
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string filename = getDataPath(get<0>(GetParam()));
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int maxCorners = get<1>(GetParam());
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double qualityLevel = get<2>(GetParam());
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int blockSize = get<3>(GetParam());
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int gradientSize = get<4>(GetParam());
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bool useHarrisDetector = get<5>(GetParam());
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Mat image = imread(filename, IMREAD_GRAYSCALE);
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if (image.empty())
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FAIL() << "Unable to load source image" << filename;
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std::vector<Point2f> corners;
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double minDistance = 1;
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TEST_CYCLE() goodFeaturesToTrack(image, corners, maxCorners, qualityLevel, minDistance, noArray(), blockSize, gradientSize, useHarrisDetector);
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if (corners.size() > 50)
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corners.erase(corners.begin() + 50, corners.end());
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SANITY_CHECK(corners);
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}
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PERF_TEST_P(Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris, goodFeaturesToTrackWithQuality,
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testing::Combine(
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testing::Values( "stitching/a1.png", "cv/shared/pic5.png"),
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testing::Values( 50 ),
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testing::Values( 0.01 ),
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testing::Values( 3 ),
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testing::Values( 3 ),
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testing::Bool()
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)
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)
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{
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string filename = getDataPath(get<0>(GetParam()));
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int maxCorners = get<1>(GetParam());
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double qualityLevel = get<2>(GetParam());
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int blockSize = get<3>(GetParam());
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int gradientSize = get<4>(GetParam());
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bool useHarrisDetector = get<5>(GetParam());
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double minDistance = 1;
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Mat image = imread(filename, IMREAD_GRAYSCALE);
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if (image.empty())
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FAIL() << "Unable to load source image" << filename;
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std::vector<Point2f> corners;
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std::vector<float> cornersQuality;
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TEST_CYCLE() goodFeaturesToTrack(image, corners, maxCorners, qualityLevel, minDistance, noArray(),
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cornersQuality, blockSize, gradientSize, useHarrisDetector);
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SANITY_CHECK(corners);
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SANITY_CHECK(cornersQuality, 1e-6);
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}
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} // namespace
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