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;
PERF_TEST_P(Size_MatType, sum, TYPICAL_MATS)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
Mat arr(sz, type);
Scalar s;
declare.in(arr, WARMUP_RNG).out(s);
TEST_CYCLE() s = sum(arr);
SANITY_CHECK(s, 1e-6, ERROR_RELATIVE);
}
PERF_TEST_P(Size_MatType, mean, TYPICAL_MATS)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
Mat src(sz, type);
Scalar s;
declare.in(src, WARMUP_RNG).out(s);
TEST_CYCLE() s = mean(src);
SANITY_CHECK(s, 1e-5);
}
PERF_TEST_P(Size_MatType, mean_mask, TYPICAL_MATS)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
Mat src(sz, type);
Mat mask = Mat::ones(src.size(), CV_8U);
Scalar s;
declare.in(src, WARMUP_RNG).in(mask).out(s);
TEST_CYCLE() s = mean(src, mask);
SANITY_CHECK(s, 5e-5);
}
PERF_TEST_P(Size_MatType, meanStdDev, TYPICAL_MATS)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
Mat src(sz, matType);
Scalar mean;
Scalar dev;
declare.in(src, WARMUP_RNG).out(mean, dev);
TEST_CYCLE() meanStdDev(src, mean, dev);
SANITY_CHECK(mean, 1e-6);
SANITY_CHECK(dev, 1e-6);
}
PERF_TEST_P(Size_MatType, meanStdDev_mask, TYPICAL_MATS)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
Mat src(sz, matType);
Mat mask = Mat::ones(sz, CV_8U);
Scalar mean;
Scalar dev;
declare.in(src, WARMUP_RNG).in(mask).out(mean, dev);
TEST_CYCLE() meanStdDev(src, mean, dev, mask);
SANITY_CHECK(mean, 1e-5);
SANITY_CHECK(dev, 1e-5);
}
PERF_TEST_P(Size_MatType, countNonZero, testing::Combine( testing::Values( TYPICAL_MAT_SIZES ), testing::Values( CV_8UC1, CV_8SC1, CV_16UC1, CV_16SC1, CV_32SC1, CV_32FC1, CV_64FC1 ) ))
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
Mat src(sz, matType);
int cnt = 0;
declare.in(src, WARMUP_RNG);
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) cnt = countNonZero(src);
SANITY_CHECK(cnt);
}