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https://github.com/opencv/opencv.git
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Alexander Smorkalov
579dfb6e02
Enable KleidiCV on Linux and Mac Mx by default #27640 OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1296 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
71 lines
2.6 KiB
C++
71 lines
2.6 KiB
C++
#include "perf_precomp.hpp"
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namespace opencv_test {
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using namespace perf;
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CV_ENUM(MotionType, MOTION_TRANSLATION, MOTION_EUCLIDEAN, MOTION_AFFINE, MOTION_HOMOGRAPHY)
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CV_ENUM(ReadFlag, IMREAD_GRAYSCALE, IMREAD_COLOR)
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typedef std::tuple<MotionType, ReadFlag> TestParams;
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typedef perf::TestBaseWithParam<TestParams> ECCPerfTest;
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PERF_TEST_P(ECCPerfTest, findTransformECC,
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testing::Combine(testing::Values(MOTION_TRANSLATION, MOTION_EUCLIDEAN, MOTION_AFFINE, MOTION_HOMOGRAPHY),
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testing::Values(IMREAD_GRAYSCALE, IMREAD_COLOR))) {
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int transform_type = get<0>(GetParam());
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int readFlag = get<1>(GetParam());
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Mat img = imread(getDataPath("cv/shared/fruits_ecc.png"), readFlag);
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Mat templateImage;
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Mat warpMat;
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Mat warpGround;
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double angle;
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switch (transform_type) {
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case MOTION_TRANSLATION:
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warpGround = (Mat_<float>(2, 3) << 1.f, 0.f, 7.234f, 0.f, 1.f, 11.839f);
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warpAffine(img, templateImage, warpGround, Size(200, 200), INTER_LINEAR + WARP_INVERSE_MAP);
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break;
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case MOTION_EUCLIDEAN:
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angle = CV_PI / 30;
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warpGround = (Mat_<float>(2, 3) << (float)cos(angle), (float)-sin(angle), 12.123f, (float)sin(angle),
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(float)cos(angle), 14.789f);
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warpAffine(img, templateImage, warpGround, Size(200, 200), INTER_LINEAR + WARP_INVERSE_MAP);
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break;
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case MOTION_AFFINE:
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warpGround = (Mat_<float>(2, 3) << 0.98f, 0.03f, 15.523f, -0.02f, 0.95f, 10.456f);
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warpAffine(img, templateImage, warpGround, Size(200, 200), INTER_LINEAR + WARP_INVERSE_MAP);
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break;
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case MOTION_HOMOGRAPHY:
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warpGround = (Mat_<float>(3, 3) << 0.98f, 0.03f, 15.523f, -0.02f, 0.95f, 10.456f, 0.0002f, 0.0003f, 1.f);
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warpPerspective(img, templateImage, warpGround, Size(200, 200), INTER_LINEAR + WARP_INVERSE_MAP);
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break;
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}
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TEST_CYCLE() {
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if (transform_type < 3)
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warpMat = Mat::eye(2, 3, CV_32F);
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else
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warpMat = Mat::eye(3, 3, CV_32F);
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findTransformECC(templateImage, img, warpMat, transform_type,
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TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 5, -1));
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}
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if (transform_type == MOTION_HOMOGRAPHY)
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{
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// NOTE: for Mac M1 + KleidiCV
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// ECCPerfTest_findTransformECC.findTransformECC/6, where GetParam() = (MOTION_HOMOGRAPHY, IMREAD_GRAYSCALE)
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SANITY_CHECK(warpMat, 8.3e-3);
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}
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else
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{
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SANITY_CHECK(warpMat, 3e-3);
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}
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}
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} // namespace opencv_test
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