opencv/modules/imgproc/perf/perf_histogram.cpp
Namgoo Lee fb8e652c3f Add CV_16UC1 support for cuda::CLAHE
Due to size limit of shared memory, histogram is built on
the global memory for CV_16UC1 case.

The amount of memory needed for building histogram is:

    65536 * 4byte = 256KB

and shared memory limit is 48KB typically.

Added test cases for CV_16UC1 and various clip limits.
Added perf tests for CV_16UC1 on both CPU and CUDA code.

There was also a bug in CV_8UC1 case when redistributing
"residual" clipped pixels. Adding the test case where clip
limit is 5.0 exposes this bug.
2019-02-06 17:21:55 +00:00

169 lines
4.4 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "perf_precomp.hpp"
namespace opencv_test {
typedef tuple<Size, MatType> Size_Source_t;
typedef TestBaseWithParam<Size_Source_t> Size_Source;
typedef TestBaseWithParam<Size> TestMatSize;
static const float rangeHight = 256.0f;
static const float rangeLow = 0.0f;
PERF_TEST_P(Size_Source, calcHist1d,
testing::Combine(testing::Values(sz3MP, sz5MP),
testing::Values(CV_8U, CV_16U, CV_32F) )
)
{
Size size = get<0>(GetParam());
MatType type = get<1>(GetParam());
Mat source(size.height, size.width, type);
Mat hist;
int channels [] = {0};
int histSize [] = {256};
int dims = 1;
int numberOfImages = 1;
const float range[] = {rangeLow, rangeHight};
const float* ranges[] = {range};
randu(source, rangeLow, rangeHight);
declare.in(source);
TEST_CYCLE_MULTIRUN(3)
{
calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
}
SANITY_CHECK(hist);
}
PERF_TEST_P(Size_Source, calcHist2d,
testing::Combine(testing::Values(sz3MP, sz5MP),
testing::Values(CV_8UC2, CV_16UC2, CV_32FC2) )
)
{
Size size = get<0>(GetParam());
MatType type = get<1>(GetParam());
Mat source(size.height, size.width, type);
Mat hist;
int channels [] = {0, 1};
int histSize [] = {256, 256};
int dims = 2;
int numberOfImages = 1;
const float r[] = {rangeLow, rangeHight};
const float* ranges[] = {r, r};
randu(source, rangeLow, rangeHight);
declare.in(source);
TEST_CYCLE()
{
calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
}
SANITY_CHECK(hist);
}
PERF_TEST_P(Size_Source, calcHist3d,
testing::Combine(testing::Values(sz3MP, sz5MP),
testing::Values(CV_8UC3, CV_16UC3, CV_32FC3) )
)
{
Size size = get<0>(GetParam());
MatType type = get<1>(GetParam());
Mat hist;
int channels [] = {0, 1, 2};
int histSize [] = {32, 32, 32};
int dims = 3;
int numberOfImages = 1;
Mat source(size.height, size.width, type);
const float r[] = {rangeLow, rangeHight};
const float* ranges[] = {r, r, r};
randu(source, rangeLow, rangeHight);
declare.in(source);
TEST_CYCLE()
{
calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
}
SANITY_CHECK(hist);
}
#define MatSize TestMatSize
PERF_TEST_P(MatSize, equalizeHist,
testing::Values(TYPICAL_MAT_SIZES)
)
{
Size size = GetParam();
Mat source(size.height, size.width, CV_8U);
Mat destination;
declare.in(source, WARMUP_RNG);
TEST_CYCLE()
{
equalizeHist(source, destination);
}
SANITY_CHECK(destination);
}
#undef MatSize
typedef TestBaseWithParam< tuple<int, int> > Dim_Cmpmethod;
PERF_TEST_P(Dim_Cmpmethod, compareHist,
testing::Combine(testing::Values(1, 3),
testing::Values(HISTCMP_CORREL, HISTCMP_CHISQR, HISTCMP_INTERSECT, HISTCMP_BHATTACHARYYA, HISTCMP_CHISQR_ALT, HISTCMP_KL_DIV))
)
{
int dims = get<0>(GetParam());
int method = get<1>(GetParam());
int histSize[] = { 2048, 128, 64 };
Mat hist1(dims, histSize, CV_32FC1);
Mat hist2(dims, histSize, CV_32FC1);
randu(hist1, 0, 256);
randu(hist2, 0, 256);
declare.in(hist1.reshape(1, 256), hist2.reshape(1, 256));
TEST_CYCLE()
{
compareHist(hist1, hist2, method);
}
SANITY_CHECK_NOTHING();
}
typedef tuple<Size, double, MatType> Sz_ClipLimit_t;
typedef TestBaseWithParam<Sz_ClipLimit_t> Sz_ClipLimit;
PERF_TEST_P(Sz_ClipLimit, CLAHE,
testing::Combine(testing::Values(::perf::szVGA, ::perf::sz720p, ::perf::sz1080p),
testing::Values(0.0, 40.0),
testing::Values(MatType(CV_8UC1), MatType(CV_16UC1)))
)
{
const Size size = get<0>(GetParam());
const double clipLimit = get<1>(GetParam());
const int type = get<2>(GetParam());
Mat src(size, type);
declare.in(src, WARMUP_RNG);
Ptr<CLAHE> clahe = createCLAHE(clipLimit);
Mat dst;
TEST_CYCLE() clahe->apply(src, dst);
SANITY_CHECK(dst);
}
} // namespace