mirror of
https://github.com/opencv/opencv.git
synced 2024-11-27 12:40:05 +08:00
fb8e652c3f
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.
169 lines
4.4 KiB
C++
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
|