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;
CV_ENUM(ThreshType, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV)
typedef std::tr1::tuple<Size, MatType, ThreshType> Size_MatType_ThreshType_t;
typedef perf::TestBaseWithParam<Size_MatType_ThreshType_t> Size_MatType_ThreshType;
PERF_TEST_P(Size_MatType_ThreshType, threshold,
testing::Combine(
testing::Values(TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16SC1),
testing::ValuesIn(ThreshType::all())
)
)
{
Size sz = get<0>(GetParam());
int type = get<1>(GetParam());
ThreshType threshType = get<2>(GetParam());
Mat src(sz, type);
Mat dst(sz, type);
double thresh = theRNG().uniform(1, 254);
double maxval = theRNG().uniform(1, 254);
declare.in(src, WARMUP_RNG).out(dst);
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) threshold(src, dst, thresh, maxval, threshType);
SANITY_CHECK(dst);
}
typedef perf::TestBaseWithParam<Size> Size_Only;
PERF_TEST_P(Size_Only, threshold_otsu, testing::Values(TYPICAL_MAT_SIZES))
{
Size sz = GetParam();
Mat src(sz, CV_8UC1);
Mat dst(sz, CV_8UC1);
double maxval = theRNG().uniform(1, 254);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() threshold(src, dst, 0, maxval, THRESH_BINARY|THRESH_OTSU);
SANITY_CHECK(dst);
}
CV_ENUM(AdaptThreshType, THRESH_BINARY, THRESH_BINARY_INV)
CV_ENUM(AdaptThreshMethod, ADAPTIVE_THRESH_MEAN_C, ADAPTIVE_THRESH_GAUSSIAN_C)
typedef std::tr1::tuple<Size, AdaptThreshType, AdaptThreshMethod, int> Size_AdaptThreshType_AdaptThreshMethod_BlockSize_t;
typedef perf::TestBaseWithParam<Size_AdaptThreshType_AdaptThreshMethod_BlockSize_t> Size_AdaptThreshType_AdaptThreshMethod_BlockSize;
PERF_TEST_P(Size_AdaptThreshType_AdaptThreshMethod_BlockSize, adaptiveThreshold,
testing::Combine(
testing::Values(TYPICAL_MAT_SIZES),
testing::ValuesIn(AdaptThreshType::all()),
testing::ValuesIn(AdaptThreshMethod::all()),
testing::Values(3, 5)
)
)
{
Size sz = get<0>(GetParam());
AdaptThreshType adaptThreshType = get<1>(GetParam());
AdaptThreshMethod adaptThreshMethod = get<2>(GetParam());
int blockSize = get<3>(GetParam());
double maxValue = theRNG().uniform(1, 254);
double C = 10.0;
int type = CV_8UC1;
Mat src(sz, type);
Mat dst(sz, type);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() adaptiveThreshold(src, dst, maxValue, adaptThreshMethod, adaptThreshType, blockSize, C);
SANITY_CHECK(dst);
}