Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
namespace opencv_test
{
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using namespace perf;
#define DECL_ROUND_TEST(NAME, OP, EXTRA) \
template <typename T> \
static void OP ## Mat(const cv::Mat & src, cv::Mat & dst) \
{ \
for (int y = 0; y < dst.rows; ++y) \
{ \
const T * sptr = src.ptr<T>(y); \
int * dptr = dst.ptr<int>(y); \
\
for (int x = 0; x < dst.cols; ++x) \
dptr[x] = OP(sptr[x]) EXTRA; \
} \
} \
\
PERF_TEST_P(Size_MatType, CvRound_Float ## NAME, \
testing::Combine(testing::Values(TYPICAL_MAT_SIZES), \
testing::Values(CV_32FC1, CV_64FC1))) \
{ \
Size size = get<0>(GetParam()); \
int type = get<1>(GetParam()), depth = CV_MAT_DEPTH(type); \
\
cv::Mat src(size, type), dst(size, CV_32SC1); \
\
declare.in(src, WARMUP_RNG).out(dst); \
\
if (depth == CV_32F) \
{ \
TEST_CYCLE() \
OP ## Mat<float>(src, dst); \
} \
else if (depth == CV_64F) \
{ \
TEST_CYCLE() \
OP ## Mat<double>(src, dst); \
} \
\
SANITY_CHECK_NOTHING(); \
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}
DECL_ROUND_TEST(,cvRound,)
DECL_ROUND_TEST(_Ceil,cvCeil,)
DECL_ROUND_TEST(_Floor,cvFloor,)
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/* For FP classification tests, try to test them in way which uses
branching logic and avoids extra FP logic. */
DECL_ROUND_TEST(_NaN,cvIsNaN, ? 1 : 2)
DECL_ROUND_TEST(_Inf,cvIsInf, ? 1 : 2)
} // namespace