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a7e53aa184
Tests added for mixed type arithmetic operations #25671 ### Changes * added accuracy tests for mixed type arithmetic operations _Note: div-by-zero values are removed from checking since the result is implementation-defined in common case_ * added perf tests for the same cases * fixed a typo in `getMulExtTab()` function that lead to dead code ### 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 - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
802 lines
19 KiB
C++
802 lines
19 KiB
C++
#include "perf_precomp.hpp"
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#include <numeric>
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#include "opencv2/core/softfloat.hpp"
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namespace opencv_test
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{
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using namespace perf;
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using BroadcastTest = perf::TestBaseWithParam<std::tuple<std::vector<int>, perf::MatType, std::vector<int>>>;
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typedef Size_MatType BinaryOpTest;
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PERF_TEST_P_(BroadcastTest, basic)
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{
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std::vector<int> shape_src = get<0>(GetParam());
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int dt_type = get<1>(GetParam());
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std::vector<int> shape_dst = get<2>(GetParam());
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cv::Mat src(static_cast<int>(shape_src.size()), shape_src.data(), dt_type);
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cv::Mat dst(static_cast<int>(shape_dst.size()), shape_dst.data(), dt_type);
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cv::randu(src, -1.f, 1.f);
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TEST_CYCLE() cv::broadcast(src, shape_dst, dst);
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SANITY_CHECK_NOTHING();
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}
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INSTANTIATE_TEST_CASE_P(/*nothing*/ , BroadcastTest,
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testing::Combine(
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testing::Values(std::vector<int>{1, 100, 800},
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std::vector<int>{10, 1, 800},
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std::vector<int>{10, 100, 1}),
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testing::Values(CV_32FC1),
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testing::Values(std::vector<int>{10, 100, 800})
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)
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);
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PERF_TEST_P_(BinaryOpTest, min)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Mat b = Mat(sz, type);
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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TEST_CYCLE() cv::min(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, minScalarDouble)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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TEST_CYCLE() cv::min(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, minScalarSameType)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) < CV_32S)
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{
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b = Scalar(1, 0, 3, 4); // don't pass non-integer values for 8U/8S/16U/16S processing
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}
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else if (CV_MAT_DEPTH(type) == CV_32S)
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{
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b = Scalar(1, 0, -3, 4); // don't pass non-integer values for 32S processing
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}
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TEST_CYCLE() cv::min(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, max)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Mat b = Mat(sz, type);
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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TEST_CYCLE() cv::max(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, maxScalarDouble)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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TEST_CYCLE() cv::max(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, maxScalarSameType)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) < CV_32S)
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{
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b = Scalar(1, 0, 3, 4); // don't pass non-integer values for 8U/8S/16U/16S processing
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}
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else if (CV_MAT_DEPTH(type) == CV_32S)
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{
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b = Scalar(1, 0, -3, 4); // don't pass non-integer values for 32S processing
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}
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TEST_CYCLE() cv::max(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, absdiff)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Mat b = Mat(sz, type);
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: absdiff can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::absdiff(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, absdiffScalarDouble)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: absdiff can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::absdiff(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, absdiffScalarSameType)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) < CV_32S)
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{
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b = Scalar(1, 0, 3, 4); // don't pass non-integer values for 8U/8S/16U/16S processing
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}
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else if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: absdiff can be without saturation on 32S
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a /= 2;
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b = Scalar(1, 0, -3, 4); // don't pass non-integer values for 32S processing
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}
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TEST_CYCLE() cv::absdiff(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, add)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Mat b = Mat(sz, type);
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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declare.time(50);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: add can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::add(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, addScalarDouble)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: add can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::add(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, addScalarSameType)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) < CV_32S)
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{
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b = Scalar(1, 0, 3, 4); // don't pass non-integer values for 8U/8S/16U/16S processing
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}
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else if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: add can be without saturation on 32S
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a /= 2;
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b = Scalar(1, 0, -3, 4); // don't pass non-integer values for 32S processing
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}
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TEST_CYCLE() cv::add(a, b, c, noArray(), type);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, subtract)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Mat b = Mat(sz, type);
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: subtract can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::subtract(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, subtractScalarDouble)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: subtract can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::subtract(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, subtractScalarSameType)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type);
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cv::Scalar b;
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cv::Mat c = Mat(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) < CV_32S)
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{
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b = Scalar(1, 0, 3, 4); // don't pass non-integer values for 8U/8S/16U/16S processing
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}
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else if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//see ticket 1529: subtract can be without saturation on 32S
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a /= 2;
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b = Scalar(1, 0, -3, 4); // don't pass non-integer values for 32S processing
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}
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TEST_CYCLE() cv::subtract(a, b, c, noArray(), type);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, multiply)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a(sz, type), b(sz, type), c(sz, type);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//According to docs, saturation is not applied when result is 32bit integer
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a /= (2 << 16);
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b /= (2 << 16);
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}
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TEST_CYCLE() cv::multiply(a, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, multiplyScale)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a(sz, type), b(sz, type), c(sz, type);
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double scale = 0.5;
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(type) == CV_32S)
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{
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//According to docs, saturation is not applied when result is 32bit integer
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a /= (2 << 16);
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b /= (2 << 16);
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}
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TEST_CYCLE() cv::multiply(a, b, c, scale);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, divide)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a(sz, type), b(sz, type), c(sz, type);
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double scale = 0.5;
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declare.in(a, b, WARMUP_RNG).out(c);
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TEST_CYCLE() cv::divide(a, b, c, scale);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, reciprocal)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat b(sz, type), c(sz, type);
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double scale = 0.5;
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declare.in(b, WARMUP_RNG).out(c);
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TEST_CYCLE() cv::divide(scale, b, c);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(BinaryOpTest, transposeND)
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{
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Size sz = get<0>(GetParam());
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int type = get<1>(GetParam());
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cv::Mat a = Mat(sz, type).reshape(1);
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std::vector<int> order(a.dims);
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std::iota(order.begin(), order.end(), 0);
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std::reverse(order.begin(), order.end());
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std::vector<int> new_sz(a.dims);
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std::copy(a.size.p, a.size.p + a.dims, new_sz.begin());
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std::reverse(new_sz.begin(), new_sz.end());
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cv::Mat b = Mat(new_sz, type);
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declare.in(a,WARMUP_RNG).out(b);
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TEST_CYCLE() cv::transposeND(a, order, b);
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SANITY_CHECK_NOTHING();
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}
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INSTANTIATE_TEST_CASE_P(/*nothing*/ , BinaryOpTest,
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testing::Combine(
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testing::Values(szVGA, sz720p, sz1080p),
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testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_8SC1, CV_16SC1, CV_16SC2, CV_16SC3, CV_16SC4, CV_32SC1, CV_32FC1)
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)
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);
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///////////// Mixed type arithmetics ////////
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typedef perf::TestBaseWithParam<std::tuple<cv::Size, std::tuple<perf::MatType, perf::MatType>>> ArithmMixedTest;
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PERF_TEST_P_(ArithmMixedTest, add)
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{
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auto p = GetParam();
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Size sz = get<0>(p);
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int srcType = get<0>(get<1>(p));
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int dstType = get<1>(get<1>(p));
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cv::Mat a = Mat(sz, srcType);
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cv::Mat b = Mat(sz, srcType);
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cv::Mat c = Mat(sz, dstType);
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declare.in(a, b, WARMUP_RNG).out(c);
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declare.time(50);
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if (CV_MAT_DEPTH(dstType) == CV_32S)
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{
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//see ticket 1529: add can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::add(a, b, c, /* mask */ noArray(), dstType);
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P_(ArithmMixedTest, addScalarDouble)
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{
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auto p = GetParam();
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Size sz = get<0>(p);
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int srcType = get<0>(get<1>(p));
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int dstType = get<1>(get<1>(p));
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cv::Mat a = Mat(sz, srcType);
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cv::Scalar b;
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cv::Mat c = Mat(sz, dstType);
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declare.in(a, b, WARMUP_RNG).out(c);
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if (CV_MAT_DEPTH(dstType) == CV_32S)
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{
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//see ticket 1529: add can be without saturation on 32S
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a /= 2;
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b /= 2;
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}
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TEST_CYCLE() cv::add(a, b, c, /* mask */ noArray(), dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, addScalarSameType)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat a = Mat(sz, srcType);
|
|
cv::Scalar b;
|
|
cv::Mat c = Mat(sz, dstType);
|
|
|
|
declare.in(a, b, WARMUP_RNG).out(c);
|
|
|
|
if (CV_MAT_DEPTH(dstType) < CV_32S)
|
|
{
|
|
b = Scalar(1, 0, 3, 4); // don't pass non-integer values for 8U/8S/16U/16S processing
|
|
}
|
|
else if (CV_MAT_DEPTH(dstType) == CV_32S)
|
|
{
|
|
//see ticket 1529: add can be without saturation on 32S
|
|
a /= 2;
|
|
b = Scalar(1, 0, -3, 4); // don't pass non-integer values for 32S processing
|
|
}
|
|
|
|
TEST_CYCLE() cv::add(a, b, c, /* mask */ noArray(), dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, subtract)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat a = Mat(sz, srcType);
|
|
cv::Mat b = Mat(sz, srcType);
|
|
cv::Mat c = Mat(sz, dstType);
|
|
|
|
declare.in(a, b, WARMUP_RNG).out(c);
|
|
|
|
if (CV_MAT_DEPTH(dstType) == CV_32S)
|
|
{
|
|
//see ticket 1529: subtract can be without saturation on 32S
|
|
a /= 2;
|
|
b /= 2;
|
|
}
|
|
|
|
TEST_CYCLE() cv::subtract(a, b, c, /* mask */ noArray(), dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, subtractScalarDouble)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat a = Mat(sz, srcType);
|
|
cv::Scalar b;
|
|
cv::Mat c = Mat(sz, dstType);
|
|
|
|
declare.in(a, b, WARMUP_RNG).out(c);
|
|
|
|
if (CV_MAT_DEPTH(dstType) == CV_32S)
|
|
{
|
|
//see ticket 1529: subtract can be without saturation on 32S
|
|
a /= 2;
|
|
b /= 2;
|
|
}
|
|
|
|
TEST_CYCLE() cv::subtract(a, b, c, /* mask */ noArray(), dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, subtractScalarSameType)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat a = Mat(sz, srcType);
|
|
cv::Scalar b;
|
|
cv::Mat c = Mat(sz, dstType);
|
|
|
|
declare.in(a, b, WARMUP_RNG).out(c);
|
|
|
|
if (CV_MAT_DEPTH(dstType) < CV_32S)
|
|
{
|
|
b = Scalar(1, 0, 3, 4); // don't pass non-integer values for 8U/8S/16U/16S processing
|
|
}
|
|
else if (CV_MAT_DEPTH(dstType) == CV_32S)
|
|
{
|
|
//see ticket 1529: subtract can be without saturation on 32S
|
|
a /= 2;
|
|
b = Scalar(1, 0, -3, 4); // don't pass non-integer values for 32S processing
|
|
}
|
|
|
|
TEST_CYCLE() cv::subtract(a, b, c, /* mask */ noArray(), dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, multiply)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat a(sz, srcType), b(sz, srcType), c(sz, dstType);
|
|
|
|
declare.in(a, b, WARMUP_RNG).out(c);
|
|
if (CV_MAT_DEPTH(dstType) == CV_32S)
|
|
{
|
|
//According to docs, saturation is not applied when result is 32bit integer
|
|
a /= (2 << 16);
|
|
b /= (2 << 16);
|
|
}
|
|
|
|
TEST_CYCLE() cv::multiply(a, b, c, /* scale */ 1.0, dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, multiplyScale)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat a(sz, srcType), b(sz, srcType), c(sz, dstType);
|
|
double scale = 0.5;
|
|
|
|
declare.in(a, b, WARMUP_RNG).out(c);
|
|
|
|
if (CV_MAT_DEPTH(dstType) == CV_32S)
|
|
{
|
|
//According to docs, saturation is not applied when result is 32bit integer
|
|
a /= (2 << 16);
|
|
b /= (2 << 16);
|
|
}
|
|
|
|
TEST_CYCLE() cv::multiply(a, b, c, scale, dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, divide)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat a(sz, srcType), b(sz, srcType), c(sz, dstType);
|
|
double scale = 0.5;
|
|
|
|
declare.in(a, b, WARMUP_RNG).out(c);
|
|
|
|
TEST_CYCLE() cv::divide(a, b, c, scale, dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P_(ArithmMixedTest, reciprocal)
|
|
{
|
|
auto p = GetParam();
|
|
Size sz = get<0>(p);
|
|
int srcType = get<0>(get<1>(p));
|
|
int dstType = get<1>(get<1>(p));
|
|
|
|
cv::Mat b(sz, srcType), c(sz, dstType);
|
|
double scale = 0.5;
|
|
|
|
declare.in(b, WARMUP_RNG).out(c);
|
|
|
|
TEST_CYCLE() cv::divide(scale, b, c, dstType);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(/*nothing*/ , ArithmMixedTest,
|
|
testing::Combine(
|
|
testing::Values(szVGA, sz720p, sz1080p),
|
|
testing::Values(std::tuple<perf::MatType, perf::MatType>{CV_8U, CV_16U},
|
|
std::tuple<perf::MatType, perf::MatType>{CV_8S, CV_16S},
|
|
std::tuple<perf::MatType, perf::MatType>{CV_8U, CV_32F},
|
|
std::tuple<perf::MatType, perf::MatType>{CV_8S, CV_32F}
|
|
)
|
|
)
|
|
);
|
|
|
|
///////////// Rotate ////////////////////////
|
|
|
|
typedef perf::TestBaseWithParam<std::tuple<cv::Size, int, perf::MatType>> RotateTest;
|
|
|
|
PERF_TEST_P_(RotateTest, rotate)
|
|
{
|
|
Size sz = get<0>(GetParam());
|
|
int rotatecode = get<1>(GetParam());
|
|
int type = get<2>(GetParam());
|
|
cv::Mat a(sz, type), b(sz, type);
|
|
|
|
declare.in(a, WARMUP_RNG).out(b);
|
|
|
|
TEST_CYCLE() cv::rotate(a, b, rotatecode);
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(/*nothing*/ , RotateTest,
|
|
testing::Combine(
|
|
testing::Values(szVGA, sz720p, sz1080p),
|
|
testing::Values(ROTATE_180, ROTATE_90_CLOCKWISE, ROTATE_90_COUNTERCLOCKWISE),
|
|
testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_8SC1, CV_16SC1, CV_16SC2, CV_16SC3, CV_16SC4, CV_32SC1, CV_32FC1)
|
|
)
|
|
);
|
|
|
|
|
|
///////////// PatchNaNs ////////////////////////
|
|
|
|
template<typename _Tp>
|
|
_Tp randomNan(RNG& rng);
|
|
|
|
template<>
|
|
float randomNan(RNG& rng)
|
|
{
|
|
uint32_t r = rng.next();
|
|
Cv32suf v;
|
|
v.u = r;
|
|
// exp & set a bit to avoid zero mantissa
|
|
v.u = v.u | 0x7f800001;
|
|
return v.f;
|
|
}
|
|
|
|
template<>
|
|
double randomNan(RNG& rng)
|
|
{
|
|
uint32_t r0 = rng.next();
|
|
uint32_t r1 = rng.next();
|
|
Cv64suf v;
|
|
v.u = (uint64_t(r0) << 32) | uint64_t(r1);
|
|
// exp &set a bit to avoid zero mantissa
|
|
v.u = v.u | 0x7ff0000000000001;
|
|
return v.f;
|
|
}
|
|
|
|
typedef Size_MatType PatchNaNsFixture;
|
|
|
|
PERF_TEST_P_(PatchNaNsFixture, PatchNaNs)
|
|
{
|
|
const Size_MatType_t params = GetParam();
|
|
Size srcSize = get<0>(params);
|
|
const int type = get<1>(params), cn = CV_MAT_CN(type);
|
|
|
|
Mat src(srcSize, type);
|
|
declare.in(src, WARMUP_RNG).out(src);
|
|
|
|
// generating NaNs
|
|
{
|
|
srcSize.width *= cn;
|
|
RNG& rng = theRNG();
|
|
for (int y = 0; y < srcSize.height; ++y)
|
|
{
|
|
float *const ptrf = src.ptr<float>(y);
|
|
for (int x = 0; x < srcSize.width; ++x)
|
|
{
|
|
ptrf[x] = (x + y) % 2 == 0 ? randomNan<float >(rng) : ptrf[x];
|
|
}
|
|
}
|
|
}
|
|
|
|
TEST_CYCLE() cv::patchNaNs(src, 17.7);
|
|
|
|
SANITY_CHECK(src);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(/*nothing*/ , PatchNaNsFixture,
|
|
testing::Combine(
|
|
testing::Values(szVGA, sz720p, sz1080p, sz2160p),
|
|
testing::Values(CV_32FC1, CV_32FC2, CV_32FC3, CV_32FC4)
|
|
)
|
|
);
|
|
|
|
} // namespace
|