Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
#define TYPICAL_MAT_SIZES_BITW_ARITHM TYPICAL_MAT_SIZES
#define TYPICAL_MAT_TYPES_BITW_ARITHM CV_8UC1, CV_8SC1, CV_8UC4, CV_32SC1, CV_32SC4
#define TYPICAL_MATS_BITW_ARITHM testing::Combine(testing::Values(TYPICAL_MAT_SIZES_BITW_ARITHM), testing::Values(TYPICAL_MAT_TYPES_BITW_ARITHM))
PERF_TEST_P(Size_MatType, bitwise_not, TYPICAL_MATS_BITW_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, WARMUP_RNG).out(c);
declare.time(100);
TEST_CYCLE() cv::bitwise_not(a, c);
SANITY_CHECK(c);
}
PERF_TEST_P(Size_MatType, bitwise_and, TYPICAL_MATS_BITW_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
declare.time(100);
TEST_CYCLE() bitwise_and(a, b, c);
SANITY_CHECK(c);
}
PERF_TEST_P(Size_MatType, bitwise_or, TYPICAL_MATS_BITW_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
declare.time(100);
TEST_CYCLE() bitwise_or(a, b, c);
SANITY_CHECK(c);
}
PERF_TEST_P(Size_MatType, bitwise_xor, TYPICAL_MATS_BITW_ARITHM)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
cv::Mat a = Mat(sz, type);
cv::Mat b = Mat(sz, type);
cv::Mat c = Mat(sz, type);
declare.in(a, b, WARMUP_RNG).out(c);
declare.time(100);
TEST_CYCLE() bitwise_xor(a, b, c);
SANITY_CHECK(c);
}